{"total":180,"page":1,"per_page":20,"records":[{"id":183,"identifier":"LOR-00183","url":"https://lifeofresearch.com/articles/183","title":"The Philippine Local Water Sector: Institutional Issues in Supply Governance","abstract":"This paper presents the current water access in the Philippines and reviews the mandates of the two main water regulatory bodies: the Local Water Utilities Administration and the National Water Resources Board. Identifying various overlaps and ambiguities, this study highlights the need to streamline the unclear economic and technical regulations in managing the sector. In addition, it proposes to improve investment coordination to ensure strategic investments and efficient use of limited financing. There should also be a consolidated database of water service providers, as well as key performance indicators and other data, to better monitor the investments in the water sector.","authors":[{"name":"Lawrence G. Velasco","affiliation":"","orcid":""},{"name":"Charlotte Justine Diokno-Sicat","affiliation":"","orcid":""},{"name":"Angel Faye G. Castillo","affiliation":"","orcid":""},{"name":"Ricxie B. Maddawin","affiliation":"","orcid":""}],"type":"article","license":"CC-BY-4.0","keywords":["Water infrastructure","Water tariff","Water district","Local water supply","Investment coordination"],"publication_date":"2021-10-05","version":1,"views":10,"downloads":2,"created_at":"2026-11-03 19:18:28","doi":"","source":"","source_url":""},{"id":182,"identifier":"LOR-00182","url":"https://lifeofresearch.com/articles/182","title":"Socio-spatial and seasonal dynamics of small, private water service providers in Khulna district, Bangladesh","abstract":"Small water service providers operating in informal markets across the Global South address critical gaps in public investments in the rural water sector. This study analyses the growth and operations of private desalination plants and distributing vendors in Khulna, Bangladesh, within the broader landscape of uncoordinated investments by government, donors and households. Household water choices and payment behaviour vary spatially and seasonally, with observable wealth differences in self-supply investments in rainwater tanks and tubewells. Monitoring and regulating informal private providers can improve sectoral coordination, increase efficiency of service delivery and unlock commercial finances against the backdrop of declining aid-based financing.","authors":[{"name":"Sonia Ferdous Hoque","affiliation":"","orcid":""}],"type":"article","license":"CC-BY-4.0","keywords":["Rural water supply","Private investments","Reverse osmosis","Water vending","Water service providers","Water distribution","Bangladesh","Seasonal water demand"],"publication_date":"2021-08-06","version":1,"views":16,"downloads":2,"created_at":"2026-11-03 13:45:11","doi":"","source":"","source_url":""},{"id":181,"identifier":"LOR-00181","url":"https://lifeofresearch.com/preprints/181","title":"A Recall Score Is Not a Use Forecast: What Factual-Memory Benchmarks Predict About Whether a Conversational Memory System Uses What It Stores, Why the Published Transfer Failure Runs Through the Harness and the Write Policy, and the Within-Harness Test That Would Settle It","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nLong-term memory systems for conversational assistants are compared almost entirely on question-answering benchmarks that ask for a fact stated somewhere in a long history. A 2026 benchmark for what its authors call memory utilization reports that strength on those benchmarks does not reliably carry over to tasks that require combining scattered, implicit and distractor-laden evidence into a long answer. In this analysis the author reviews and synthesises published results to show that this conclusion bundles three claims that the evidence supports to very different degrees. The first, that retrieving the right evidence is necessary for good use but not sufficient, is well supported and is not new: it was already visible inside the recall benchmarks, which report correct retrieval followed by a wrong answer on 15 to 19 percent of questions, summaries retrieved with high recall that did not help, and models that recall a stated preference but fail to apply it unprompted. The second, that a system's rank on a recall benchmark does not predict its rank on use, rests on comparisons with scores the systems' developers reported for themselves. Against those, the five systems shared with the utilization benchmark largely reverse order (Spearman -0.6 by the author's arithmetic); against a shared harness maintained by the developer of one of them, MemOS, the three shared systems keep most of their order, and harnesses run by third parties place the system at the bottom of the utilization ranking low on recall as well. The third claim is implicit and is the one the evidence most undermines: a recall score is not a stable property of a system. The same system's published LoCoMo score spans 10 to 21 points across harnesses, and two harnesses using the same answering model rank four shared systems with zero rank correlation. The paper separates four places where use can fail after access succeeds, consolidates the measured values in a table, and states a within-harness transfer test as an algorithm.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["long-term memory","conversational agents","memory utilization","LoCoMo","LongMemEval","benchmark validity","evaluation harness","retrieval-augmented generation"],"publication_date":"2026-11-03","version":1,"views":3,"downloads":1,"created_at":"2026-11-03 10:58:38","doi":"10.5281/zenodo.23899944","source":"Zenodo","source_url":"https://zenodo.org/records/23899944"},{"id":180,"identifier":"LOR-00180","url":"https://lifeofresearch.com/preprints/180","title":"A Checklist Is Not a Simplification: Where the Published Gains of Decomposed LLM Evaluation Come From, Why a Controlled Null on Holistic Criteria Does Not Reach Instance-Specific or Verifiable Decompositions, and the Ablations a Decomposition Claim Owes","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nAutomatic evaluation with a language model as judge is often improved, in published work, by splitting the judgment into parts: sub-criteria, checklist questions, rubric items or atomic claims, each scored separately and then combined. A 2026 controlled study reports that on standard summarization and dialogue benchmarks this splitting gives no gain over a direct judge given the same human labels, and that an earlier method's reported advantage came from a regressor trained on those labels. Other work reports large gains from decomposition in instruction following, factuality and reinforcement-learning rewards. In this analysis the author reviews and synthesises published results to show that the two bodies of evidence are compatible, because \"decomposition\" names at least six interventions that travel together. A decomposed judge may receive supervision from human labels through its aggregator, produce finer-grained scores that change how ties are counted, receive information the direct judge lacks (a reference answer, retrieved evidence, or criteria written for the instance), make parts of the judgment checkable by an external verifier, become more consistent across evaluator models without becoming more valid, and change how calls and arithmetic are executed. The narrow claim the method was proposed for, that answering simpler questions makes the same judge better at the same judgment, is the one the controlled evidence supports least. In two of the three studies whose ablations separate information from decomposition, the information term is the larger: in one rubric study, removing the reference answer costs about four times as much correlation with human labelers as the skill-specific decomposition adds, and in a checklist study a fixed generic checklist does little while checklists written for each query by a stronger model do a great deal. Read at the resolution of its tables, the controlled null is itself dataset-dependent, with decomposition ahead by 0.03 to 0.07 Spearman on one benchmark for each of three judge models and behind by up to 0.13 on the other. The paper consolidates the measured values in a table, states an attribution procedure as an algorithm, and specifies the ablations a claim that decomposition helps should report.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["LLM-as-a-judge","NLG evaluation","task decomposition","checklists","rubrics","meta-evaluation","claim decomposition","evaluation methodology"],"publication_date":"2026-11-02","version":1,"views":2,"downloads":2,"created_at":"2026-11-03 10:58:31","doi":"10.5281/zenodo.23886823","source":"Zenodo","source_url":"https://zenodo.org/records/23886823"},{"id":179,"identifier":"LOR-00179","url":"https://lifeofresearch.com/preprints/179","title":"A Gap to a Reference Is Not a Loss: What Text-Capability Comparisons Between Vision-Language Models and Their Language Backbones Measure, Why Independent Audits and Vendor Reports Disagree in Sign, and the Controlled Trajectory That Would Assign the Cause","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nA vision-language model is usually built by attaching an image encoder to a pretrained language model and training the combination on multimodal data, and a recurring claim is that this damages the language model's own text abilities. A 2026 study gives the strongest form of the claim: across six released model pairs, the language backbones of vision-language models score up to 18.7 points below a text-only reference on instruction following while knowledge benchmarks barely move, and a scalar that measures how strongly the reference model concentrates attention on an early \"sink\" position ranks the damage with a Spearman correlation of 0.97. Vendor reports for some of the same models say the opposite. InternVL3's report puts its backbone ahead of the same text-only reference on most language benchmarks, and Qwen3-VL's report puts its 8B model slightly ahead on instruction following. In this analysis the author reviews and synthesises published results to show that a gap between a vision-language backbone and a text reference is not, in general, a loss caused by vision-language training. The gap carries four indices that headlines leave implicit: lineage (whether the reference is the checkpoint the model was trained from), protocol (harness, template and answer extraction), mixture (how much text, and in what output format, the multimodal recipe contained) and construct (whether the benchmark probes knowledge, procedure or output format). For one pair, an independent audit and the vendor report agree on MMLU to within a tenth of a point but disagree in sign on GSM8K and on MBPP. With lineage and protocol held fixed, a loss does survive: in a matched 3B run, vision fine-tuning cost about 23 instruction-following points in the first thousand steps, against about 7 for text-only tuning. In the same run, however, the loss arrived before the attention sink weakened, and part of it came back while the sink kept falling. The paper consolidates the measured values in a table, sets out what four candidate mechanisms predict, and gives an attribution procedure that separates pipeline differences, protocol artefacts, recoverable losses of access and losses of capacity.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["vision-language models","catastrophic forgetting","instruction following","attention sinks","QK normalization","evaluation methodology","multimodal training data","model merging"],"publication_date":"2026-11-01","version":1,"views":3,"downloads":5,"created_at":"2026-11-02 11:20:15","doi":"10.5281/zenodo.23858880","source":"Zenodo","source_url":"https://zenodo.org/records/23858880"},{"id":178,"identifier":"LOR-00178","url":"https://lifeofresearch.com/preprints/178","title":"A Stable Attribution Is Not a Stable Error Rate: What Feature-Attribution Monitoring Can See Under Drift, Why 'More Sensitive Than the Inputs' and 'Silent While Fairness Fails' Are Both Correct, and the Label-Free Statistic the Fairness Alarm Needed","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nDeployed classifiers are often monitored without labels, and feature attributions are one of the signals watched: a production monitoring service alerts when the ranking of SHAP attributions moves, and one line of work argues that the explanation space is more sensitive than the input space to shifts that matter. A 2026 study reports the other face: on COMPAS under injected feature noise, TreeSHAP explanations stayed largely stable while the protected group's false positive rate rose from 37.84 to 70.39 percent. In this analysis the author reviews and synthesises published results to show that the two findings concern different objects. Per-instance attributions, the distribution of attribution vectors, a top-k ranking of mean absolute attributions and an attribution of the loss are four instruments; only the last uses labels, and only the second sees everything the prediction distribution sees. The paper orders the label-free observables into a ladder, derives which group fairness quantities each rung can read, and shows that a group false positive rate is readable from none of them without an assumption about how outcomes given features changed. The anchor study's own numbers add two results: its disparity widened as a difference and narrowed as a ratio, and, with labels fixed, its false-positive rises imply rises in each group's positive-prediction rate, which needs no labels to compute, unless a group has almost no true negatives. The paper gives a decision procedure for choosing and reading a label-free fairness monitor and names the studies that would settle what remains open.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["model monitoring","distribution shift","feature attribution","SHAP","algorithmic fairness","label-free performance estimation","concept drift","equalized odds"],"publication_date":"2026-11-02","version":1,"views":4,"downloads":4,"created_at":"2026-11-02 11:20:08","doi":"10.5281/zenodo.23871653","source":"Zenodo","source_url":"https://zenodo.org/records/23871653"},{"id":177,"identifier":"LOR-00177","url":"https://lifeofresearch.com/software/177","title":"What AI Cannot Do: Limits of Artificial Intelligence and the Role of Human Creativity","abstract":"Artificial intelligence (AI) is powerful at processing data, but it does not imagine, discover\r\nor decide on its own: it recombines what it was trained on, while humans notice new\r\nproblems and invent new solutions. This paper examines six limits of current AI:\r\nimagination and creativity, discovery of new technology from a newly found problem,\r\npatience and adaptive execution, medicine discovery and scientific prediction, marketing\r\nstrategy grounded in local context, and understanding of language, proverbs and\r\nsituational meaning. For each, it contrasts howAI works (pattern learning from past data,\r\nresponding only when prompted) with how people work (curiosity, waiting, retrying, lived\r\nexperience). It concludes that AI is best used as a fast assistant to human judgment, not a\r\nreplacement for it.","authors":[{"name":"Vemulawada Navyasri","affiliation":"","orcid":""}],"type":"software","license":"CC-BY-4.0","keywords":["artificial intelligence","creativity","limitations ofAI","human judgment","drug discovery","context","language"],"publication_date":"2026-11-02","version":1,"views":5,"downloads":7,"created_at":"2026-11-02 05:34:22","doi":"","source":"","source_url":""},{"id":176,"identifier":"LOR-00176","url":"https://lifeofresearch.com/preprints/176","title":"The Role of AI-Based Demand Forecasting in Inventory Planning for Seasonal Small Businesses in India","abstract":"This study explores how seasonal changes in customer demand affect inventory planning among selected small businesses in New Palam Vihar and Rajendra Park, Gurugram, and considers whether affordable AI-based demand forecasting could help business owners make better stock decisions. Primary information was collected through face-to-face conversations with approximately 5–10 businesses operating in categories including footwear, electronics, stationery and food items during October 2026. The field observations indicate that festival periods are often busy, while some businesses experience slower trading during periods of intense heat. Festivals and changing fashion trends were identified as demand drivers. Respondents described instances of excess stock and occasional lost sales due to unavailable products. Unsold goods were often discounted or held for a later season. Some businesses maintained records, while others did not. Respondents had limited practical knowledge of AI forecasting but expressed interest in an affordable tool if it could help reduce unsold stock and related losses. The study is exploratory and does not claim statistical representativeness. The findings suggest that useful forecasting solutions should be low-cost, easy to use, understandable and able to work with incomplete business records.","authors":[{"name":"Gauransh Yadav","affiliation":"Independent student research","orcid":""}],"type":"preprint","license":"CC-BY-NC-4.0","keywords":["Artificial Intelligence","Demand Forecasting","Inventory Management","Small Businesses","Seasonal Demand","MSMEs","India","Business Economics"],"publication_date":"2026-11-02","version":1,"views":7,"downloads":7,"created_at":"2026-11-02 03:51:54","doi":"","source":"","source_url":""},{"id":175,"identifier":"LOR-00175","url":"https://lifeofresearch.com/theses/175","title":"Ромаджи като визуален език: ролята на латиницата в глобализацията на манга и съвременното японско изкуство","abstract":"Explores the idea how written language communicates and becomes part of the illustration in Japanese manga and contemporary Japanese art. By comparing four case studies.","authors":[{"name":"andrea trixx","affiliation":"","orcid":""}],"type":"thesis","license":"CC-BY-4.0","keywords":["Japanese art"],"publication_date":"2026-11-01","version":1,"views":6,"downloads":7,"created_at":"2026-11-01 12:01:14","doi":"","source":"","source_url":""},{"id":174,"identifier":"LOR-00174","url":"https://lifeofresearch.com/preprints/174","title":"A Detector Score Is Not a Release Risk: What PII Detection Benchmarks Certify About Deployment, Why 'Rivals Human Annotators' and 'Fails Under Shift' Are Both Measured, and the Coverage Audit a Release Decision Needs","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nAutomatic detection of personally identifiable information (PII) is the step that decides what text may leave an organisation, and its published record appears to contradict itself. Clinical de-identification systems have been reported to match or exceed human annotators, with recall above 0.94 on held-out notes and above 0.99 for one rule-based tool; a 2026 stress test reports that encoder, rule-based and language-model detectors all degrade under noisy and informal input, with location recall falling below 0.5, and a unified benchmark reports span F1 below 0.14 for every system it tried. In this analysis the author reviews and synthesises published results to show that most of the contradiction is in what the scores index rather than in the detectors. A PII detection score carries four indices that headlines omit: how the test text relates to the text the detector was built on, the scoring rule, the taxonomy that defines what counts, and the unit over which misses are aggregated. The same shared-task system misses 9.1 percent of protected items under one official rule and 3.6 percent under another; the lowest unified-benchmark scores come partly from entity types the evaluated detectors do not define; and in the 2026 stress test several of the losses attributed to the language model are spans it covered under another label. A residual shift effect survives every index: under fixed scoring, cross-institution transfer cost about ten points of strict F1, and systems run unmodified on new psychiatric records scored a median of 0.63. None of the indices is the quantity a release decision needs, which is the probability that a released document still carries an identifying item someone could find. The paper consolidates the evidence in a table, derives how per-item recall compounds at the document level, and gives a coverage-audit procedure with the sample sizes a release claim requires.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["personally identifiable information","de-identification","named entity recognition","distribution shift","evaluation methodology","clinical text","privacy risk","text anonymisation"],"publication_date":"2026-11-01","version":1,"views":5,"downloads":7,"created_at":"2026-11-01 10:35:10","doi":"10.5281/zenodo.23849157","source":"Zenodo","source_url":"https://zenodo.org/records/23849157"},{"id":173,"identifier":"LOR-00173","url":"https://lifeofresearch.com/preprints/173","title":"Written Is Not Kept: What a Single-Layer Readout of the Residual Stream Licenses When Adjacent Layers Undo Part of Each Other's Writes, Why Cancellation and Iterative Refinement Are Not Rival Findings, and the Persistence Check Interpretability Claims Skip","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nMost feature-based interpretability reads a transformer one layer at a time. A probe, a lens or a sparse dictionary is fitted to the residual stream, or to one layer's output, at a chosen depth, and what it finds there is reported as something the model has represented and will go on to use. A 2026 study reports that in five of seven open-weight model families the write of each layer points, on average, partly against the write of the layer before it, that the opposition is learned during pretraining, scales with the size of the preceding write and is concentrated in a subspace, and proposes that layers put forward candidate features which the next layer strikes out. Against this stand results that adjacent residual states are almost parallel, that predictions converge smoothly through depth, that dictionary features can be matched across several layers, and that whole middle layers can be removed or swapped at modest cost. In this analysis the author reviews and synthesises published results to show that the two bodies of evidence measure different objects - the write a layer adds, and the state the writes add up to - and that the arithmetic of a residual sum lets writes partly cancel while successive states stay nearly parallel, so neither side refutes the other. What the cancellation evidence does threaten is narrower and more practical: the inference from \"present at layer L\" to \"kept\", \"used\" or \"endorsed by the model\". The paper separates five claims that a single-layer readout is used to support, distinguishes four published kinds of non-persistence that license different conclusions, shows that the three downstream consequences proposed for layer correction each have a competing explanation the record supports at least as well - including a ten-fold steering coefficient reported for GPT-2-XL, a model in which the correction pattern was not found - consolidates 26 published results in one table and one figure, states a persistence check as an algorithm, and names five studies that would settle the open part.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["mechanistic interpretability","residual stream","sparse autoencoders","layer correction","logit lens","activation steering","transcoders","iterative inference"],"publication_date":"2026-10-31","version":1,"views":4,"downloads":4,"created_at":"2026-11-01 10:35:02","doi":"10.5281/zenodo.23838677","source":"Zenodo","source_url":"https://zenodo.org/records/23838677"},{"id":172,"identifier":"LOR-00172","url":"https://lifeofresearch.com/articles/172","title":"ADVANCING FRENCH LANGUAGE STUDIES IN NIGERIA THROUGH DIGITAL STORYTELLING, CINEMA AND NEW MEDIA","abstract":"The advancement of French language studies in Nigeria requires innovative teaching and learning approaches that respond to the changing demands of contemporary education and technological development. Traditional methods of teaching French, which often emphasize grammar translation, memorization and teacher-centered instruction, have not always provided learners with sufficient opportunities to develop effective communication skills. This paper examines the potential of digital storytelling, cinema and new media as innovative tools for promoting French language education in Nigeria. It discusses how digital storytelling can enhance vocabulary acquisition, listening comprehension, speaking skills, creativity and learner participation. It also explores the educational contributions of French films, documentaries, television programmes, podcasts, social media platforms and other digital resources in creating meaningful opportunities for language learning. Drawing on relevant theories and recent scholarly perspectives, the paper argues that integrating these technologies into French language instruction can improve students' motivation, cultural awareness, communicative competence and overall academic achievement. However, challenges such as inadequate digital infrastructure, unreliable electricity, limited internet access, insufficient teacher training and the high cost of technological resources may hinder effective implementation. The paper concludes that the sustainable advancement of French language studies in Nigeria requires deliberate investment in digital infrastructure, teacher professional development, locally relevant digital content and institutional support. It recommends the integration of digital storytelling, cinema and new media into French language curricula to make language learning more interactive, inclusive and relevant to twenty-first-century educational needs.","authors":[{"name":"Aworinde Abass Temitope","affiliation":"Federal college of Education Okene Kogi state","orcid":""}],"type":"article","license":"CC-BY-4.0","keywords":["Keywords: French language studies","Nigeria","digital storytelling","cinema","new media","technology-assisted language learning","communicative competence."],"publication_date":"2026-11-01","version":1,"views":10,"downloads":6,"created_at":"2026-11-01 00:28:40","doi":"","source":"","source_url":""},{"id":171,"identifier":"LOR-00171","url":"https://lifeofresearch.com/theses/171","title":"DIFFERENTIATED INSTRUCTION APPROACH AND MATHEMATICS ACHIEVEMENT OF GRADE 5 LEARNERS: AN ACTION PLAN","abstract":"Differentiated instruction played an important role for the success in teaching mathematics in today’s educational setting. This study explored the differentiated instruction approach and mathematics achievement of grade 5 learners that aimed to create an action plan that would maximize the application of differentiated instruction in teaching-learning process. In specific, this study also sought to determine the profile of the teachers in their highest educational attainment, teaching experience, number of relevant trainings attended, and strategies adapted; and the profile of the learners in terms of their sex, combined family monthly income, and mathematics grade for the third quarter.\r\nLikewise, it explored the degree of effectiveness of differentiated instruction approach as perceived by the respondents as to connecting prior knowledge, considering learners’ pace, and learning experience. Utilizing a descriptive method of research, the statistical treatments such as frequency counts and simple percentage, weighted mean, t-test, and Chi square were utilized. Results of the study showed further that the perceptions of the teachers and learners on the degree of effectiveness of differentiated instruction approach is significant. Moreover, findings revealed that the degree of effectiveness of differentiated instruction is statistically significant to the mathematics achievement of the learners. Despite its significance, there were challenges that hindered the development of mathematics achievement such as teachers faced challenges in applying differentiated instruction in the classroom on poor internet connectivity, classroom management issue, and learners’ attitude towards learning. Hence, an action plan was proposed to address these gaps.","authors":[{"name":"Kiezl Che Y. Lagare","affiliation":"","orcid":""}],"type":"thesis","license":"ARR","keywords":["Profile of the teachers and learners","Effectiveness of differentiated instruction","Mathematics achievement","Challenges encountered","Action plan"],"publication_date":"2026-10-31","version":1,"views":12,"downloads":7,"created_at":"2026-10-31 21:55:43","doi":"","source":"","source_url":""},{"id":170,"identifier":"LOR-00170","url":"https://lifeofresearch.com/preprints/170","title":"A Held-Out Site Is a Sample of One: What Random, Spatial and Site-Disjoint Splits Each Estimate, Why Leakage That Differs Between Configurations Reorders a Comparison, and How Many Sites a General Claim Needs","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nA September 2026 study of farm-machinery traversability reports that a forward-facing near-infrared camera appears to beat a colour camera on a paddy-boundary class under its corpus's own sequence-level split, that the advantage disappears once recording sites are held apart, that the near-infrared configuration gained more from having seen a site than colour did, and that two leads the second camera held at one held-out site changed sign when the held-out site was rotated. Each of those findings touches a literature that disagrees with itself: ecologists and remote-sensing researchers dispute whether spatial cross-validation corrects an optimistic bias or introduces a pessimistic one, clinical machine learning had the same dispute over subject-wise splitting, and machine-learning benchmarks report both that rankings survive distribution shift and that they do not. In this analysis the author reviews and synthesises published results to show that these disputes concern three different questions an evaluation can be asked - how accurate a model is at a stated target (level), which of two configurations is better there (order), and whether an advantage holds across the population of sites a deployment will meet (generality) - and that each needs a different design. The level dispute resolves once the prediction target is specified, and the published positions on both sides agree on that resolution more than their titles suggest. The order question has a failure mode the level dispute does not cover: when leakage inflates configurations unequally, a split that shares sites can reverse a comparison, and six published results in four fields show it doing so or coming close: reversals in Kang (2026), Zech et al. (2018), Liang et al. (2017) and, on small margins, Meyer et al. (2019) and Schratz et al. (2018), and a several-fold shrinkage in Milioto et al. (2018). The generality question is a small-sample problem in sites, not in images: one held-out site is one observation. The paper consolidates 24 published results in a table, derives the condition under which leakage preserves an ordering, states a procedure that assigns each evaluation the claim it licenses, and specifies five studies that would settle what remains open.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["spatial cross-validation","data leakage","site-disjoint evaluation","model comparison","domain generalization","agricultural robotics","evaluation methodology","clustered inference"],"publication_date":"2026-10-31","version":1,"views":5,"downloads":8,"created_at":"2026-10-31 09:44:39","doi":"10.5281/zenodo.23824501","source":"Zenodo","source_url":"https://zenodo.org/records/23824501"},{"id":169,"identifier":"LOR-00169","url":"https://lifeofresearch.com/preprints/169","title":"A Denial Is Also a Report: What First-Person Experience Claims From Language Models Can Show, Why the Mirror Argument Cuts Against Trained Denials as Hard as Against Affirmations, and the Four Links a Self-Report Would Have to Carry","abstract":"(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0.\nLife of Research\nWhen a language model says it is experiencing something, a standard objection holds that the sentence reflects human first-person writing in its training data and is no evidence of anything inside the model; a 2026 paper sharpens this into a named fallacy. In this analysis the author reviews and synthesises published results to show that the objection is right about its target and too narrow in its reach. Its likelihood argument applies with equal force to the other answer a model gives. Post-training installs denials of inner states just as pretraining supplies affirmations: in three small open models, removing a learned refusal direction roughly doubles self-attributed consciousness on a 0-10 scale, a default \"no\" circuit suppresses detection of injected concepts, and a base model that claims to detect an injected thought on about 40 percent of trials with nothing injected is trained down to almost none. A denial produced under that training carries no more evidence of absence than an affirmation carries of presence. The paper separates four links a first-person report would have to carry before it bore on consciousness - grounding in an internal state, content of the kind named, reference to a candidate bearer, and constitution - and argues that published introspection work has established only the first, for coarse signals that something changed, while the content of the same reports is often confabulated. It consolidates 23 published results, states a link-by-link scoring procedure, and names six studies that would settle the open part.","authors":[{"name":"Pranay Mahendrakar","affiliation":"SONYTECH","orcid":"0009-0003-7224-029X"}],"type":"preprint","license":"CC-BY-4.0","keywords":["machine consciousness","self-report","introspection","language models","post-training","AI welfare","individuation","evidential weight"],"publication_date":"2026-10-30","version":1,"views":5,"downloads":10,"created_at":"2026-10-31 09:44:32","doi":"10.5281/zenodo.23810600","source":"Zenodo","source_url":"https://zenodo.org/records/23810600"},{"id":168,"identifier":"LOR-00168","url":"https://lifeofresearch.com/articles/168","title":"Флотация орқали кўмирни бойитиш учун СФКМ-1 ва СФКМ-2 маркали флотореагентлар ишлаб чиқиш","abstract":"This study focuses on the development of SFKM-1 and SFKM-2 flotation reagents for coal beneficiation by flotation. The research addresses the application of surfactant-based flotation reagents to improve the separation of coal particles and enhance the efficiency of the beneficiation process. Particular attention is given to the development of reagent compositions and their potential application in coal processing technology. The proposed approach is aimed at improving flotation-based coal beneficiation and expanding the use of specialized chemical reagents in mineral processing.","authors":[{"name":"Ko‘charov Azizbek Alisher o‘g‘li","affiliation":"Institute of General and Inorganic Chemistry, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan.","orcid":"0009-0005-5619-8700"}],"type":"article","license":"CC-BY-4.0","keywords":["Coal beneficiation; flotation; flotation reagents; SFKM-1; SFKM-2; surfactants; coal processing."],"publication_date":"2024-05-21","version":1,"views":9,"downloads":4,"created_at":"2026-10-31 09:10:19","doi":"","source":"","source_url":""},{"id":167,"identifier":"LOR-00167","url":"https://lifeofresearch.com/articles/167","title":"GAME-BASED LEARNING AND PERFORMANCE OF THE GRADE 6 LEARNERS IN MATHEMATICS: AN INTERVENTION PLAN","abstract":"Game-based learning is considered as one of the effective approaches in teaching particularly in mathematics in which most learners found it less interesting and a bit difficult compared to other learning areas. Thus, this study explored on the extent of efficacy of game-based learning as perceived by the learners and the performance of the grade six learners in mathematics as to self- management skills, openness to learning opportunities, and initiative and independent learning in relation to Rapid Mathematics Assessment ( RMA) BOSY and EOSY results. It also explored on the profile of the teachers in terms of highest educational attainment, number of years in teaching, and relevant trainings attended. Using a descriptive method of research, the study’s findings indicated that there was a significant improvement in learners’ performance in the EOSY result of RMA. Likewise, it was found out that the extent of efficacy of game-based learning and the performance of the grade six learners in mathematics had a significant relationship. However, in spite of the significant relationship between the two variables, there were games literacy, and teachers ‘incognizance of the game-based learning activities. Hence, an intervention plan was proposed to strengthen the utilization of game-based learning in teaching mathematics concepts to increase learners’ engagement which later on affecting their performance.","authors":[{"name":"Darline P. Cuizon","affiliation":"","orcid":""}],"type":"article","license":"ARR","keywords":["Profile of the teachers","Extent of efficacy of game-based learning","Performance of the grade six learners in mathematics","Challenges met","Intervention plan"],"publication_date":"2026-10-31","version":1,"views":18,"downloads":7,"created_at":"2026-10-31 04:16:39","doi":"","source":"","source_url":""},{"id":166,"identifier":"LOR-00166","url":"https://lifeofresearch.com/articles/166","title":"Тинчлик  ва барқарорлик  тушунчасининг ижтимоий-фалсафий моҳияти","abstract":"Аннотация: Мазкур мақолада ҳам “тинчлик” ва “барқарорлик”\r\nтушунчаларининг маъно ва мазмуни, мутахассисларнинг қарашлари ва\r\nистиқболли жараёнлар ҳақида структурали-функционал таҳлил қилинади.\r\nҚолаверса, Ўзбекистоннинг тинчликни таъминлашдаги ташаббусларининг\r\nконцептуал мазмуни очиб берилган.","authors":[{"name":"Inomjon Ergashev","affiliation":"","orcid":"0009-0008-1880-9103"}],"type":"article","license":"CC-BY-4.0","keywords":["Калит сўзлар: Тинчлик","барқарорлик","ташаббус","ғоя","тизим","шахс","жамият","давлат","глобал тинчлик","араб-ислом","Фаластин муаммоси."],"publication_date":"2025-01-27","version":1,"views":10,"downloads":6,"created_at":"2026-10-30 15:54:37","doi":"","source":"ORCID","source_url":"https://orcid.org/0009-0008-1880-9103"},{"id":165,"identifier":"LOR-00165","url":"https://lifeofresearch.com/articles/165","title":"Peace and stability as a fundamental characteristic of uzbek people's spirituality","abstract":"Annotation: This article analyzes the fact that peace and stability are an integral\r\npart of the spirituality of the Uzbek people. In this, characteristics of peace and the\r\nprocess of formation of the Uzbek nations are conceptually illuminated. In the article,\r\nthe reason for harmony through spirituality in the Uzbek people are analyzed.","authors":[{"name":"Inomjon Ergashev","affiliation":"","orcid":"0009-0008-1880-9103"}],"type":"article","license":"ARR","keywords":["Key words: peace","stability","humanity","war","power","mass","gratitude","society","interest","national interest."],"publication_date":"2025-07-30","version":1,"views":9,"downloads":4,"created_at":"2026-10-30 15:29:10","doi":"","source":"ORCID","source_url":"https://orcid.org/0009-0008-1880-9103"},{"id":164,"identifier":"LOR-00164","url":"https://lifeofresearch.com/preprints/164","title":"Reality-Grounded Autonomous Intelligence: An Evidence-, Authority-, and Outcome-Governed Architecture for Reliable AI Agents","abstract":"Autonomous AI agents increasingly combine language-model reasoning with tools that can inspect, modify, and act upon external environments. Their reliability therefore depends on more than the quality of generated text: an agent must preserve the user's authorized objective, distinguish observations from beliefs and predictions, operate within enforceable permissions, account for partial and irreversible effects, and establish whether the intended outcome actually occurred. Existing techniques address important pieces of this problem—including reasoning-action loops, tool-mediated critique, provenance, risk management, and transactional recovery—but these mechanisms are often deployed without a single operational model that governs the transitions between intention, knowledge, authority, execution, and acceptance.\r\n\r\nThis paper proposes Reality-Grounded Autonomous Intelligence (RGAI), a system architecture for governing tool-using AI agents. RGAI separates five responsibilities: objective governance, epistemic integrity, authority governance, transactional execution and recovery, and independent assurance. These responsibilities share a versioned event history from which current state views are derived. RGAI distinguishes user-confirmed requirements from preferences and predictions; observations from external assertions and model inferences; permission to prepare from permission to commit; an attempted action from a confirmed effect; and a confirmed effect from an accepted outcome. A small trusted enforcement core mediates consequential actions, while risk-adaptive assurance allocates verification effort according to potential harm, uncertainty, irreversibility, and blast radius. The architecture also addresses prompt injection, privacy leakage, stale permissions, hidden dependencies, multi-agent concurrency, poisoned memory, reward tampering, and ambiguous external outcomes.\r\n\r\nRGAI is a proposal, not a demonstrated improvement. The paper specifies its state model, action contract, transition rules, trust assumptions, failure handling, and a matched evaluation programme. It proposes testing against competent conventional agents on established computer-use, web, multi-application, research, and tool-interaction benchmarks augmented with controlled adversarial conditions. The central hypothesis is that explicit governance of state transitions can improve safe task completion and failure containment without imposing prohibitive costs on ordinary tasks. Whether that benefit exists, and at what operating point, remains an empirical question.","authors":[{"name":"RM369","affiliation":"","orcid":""}],"type":"preprint","license":"CC-BY-4.0","keywords":["autonomous agents","AI reliability","tool use","evidence provenance","action authorization","runtime assurance","transaction recovery","agent security"],"publication_date":"2026-10-30","version":2,"views":17,"downloads":17,"created_at":"2026-10-30 14:07:21","doi":"","source":"","source_url":""}]}