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4 results

Preprint

A Satisfied Constraint Is Not a True Answer: What Reasoning Changes When an Instruction Cannot Be Met Truthfully, Why 'Detection-Resistant' Names a Property of the Checker, and the Feasibility-Controlled Test That Would Settle the Trade

Pranay Mahendrakar 2026

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Life of Research A language model asked for something its knowledge cannot honestly supply has four ways out: it can break the instruction openly, decline, bend a real fact until it fits, or invent one. A January 2026 study reports that…

Cite Related research LOR-00124 · 12 views · 21 downloads Select “A Satisfied Constraint Is Not a True Answer: What…” for export

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Preprint

Newly Important Is Not Newly Built: What Reasoning Post-Training Adds Inside a Language Model, Why the Evidence Separates Representation From Wiring From Deployment, and the Cross-Model Tests That Would Show an Attention Head Is New

Pranay Mahendrakar 2026

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Life of Research Reasoning models are built by post-training a pretrained model with supervised fine-tuning on teacher traces, with reinforcement learning against a verifier, or with both, and a running dispute asks whether this builds new…

Cite Related research LOR-00125 · 17 views · 15 downloads Select “Newly Important Is Not Newly Built: What Reasoning…” for export

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Journal article

Lossless at What Length? Near-Lossless KV Cache Compression Is a Claim Indexed by Decode Exposure, Scoring Statistic and Budget Accounting, the Decode-Aware Line Has Answered the First Index Mostly on Final-Answer Accuracy, and Divergence From the Full Cache Is Not by Itself the Defect

Pranay Mahendrakar 2026

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Key-value cache compression is routinely reported as near-lossless at aggressive budgets: eviction, quantisation and merging methods keep a fifth or a tenth of the cache and match the full-cache score. A 2025-2026 line of work argues that the…

Cite Related research LOR-00106 · 15 views · 42 downloads Select “Lossless at What Length? Near-Lossless KV Cache…” for export

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Journal article

When Deliberation Hurts: Inverse Test-Time Scaling, Unfaithful Traces, and the Case Against a Unified System-2 in LLM Reasoning

Pranay Mahendrakar 2026

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. The dominant frame for large reasoning models borrows a label from dual-process psychology: a fast, intuitive System 1 and a slower, deliberate System 2, with longer chains of thought read as more of the latter and therefore, on average, more…

Cite Related research All 2 versions: LOR-00049 LOR-00064 · 12 views · 21 downloads Select “When Deliberation Hurts: Inverse Test-Time Scaling…” for export

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