Paper Citation Record · LEDGER

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2509.00079.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.00079 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:47.071232Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact3
verified fuzzy4
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62641134-f83b-4734-b266-32ecf55d99d3 · outbound

This paper cites The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.007835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15313868-4aa4-400a-937b-595c2c2370b6 · outbound

This paper cites Reference.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Reference

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:51:47.332566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e3acbe4-f1dc-42f6-a0ed-b1d6f4835ccf · outbound

This paper cites On the Measure of Intelligence.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation On the Measure of Intelligence

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.026171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd707da-3479-4dbf-8ad1-4d0e13df2466 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.032981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7b7d2f-b464-4b0c-9269-00f05acc60f9 · outbound

This paper cites Token Weighting for Long-Range Language Modeling.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Token Weighting for Long-Range Language Modeling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.036275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498f0eef-8aa5-4d29-8a7b-05ddc9c65f39 · outbound

This paper cites Large language models can self-improve.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Large language models can self-improve

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:51:47.351760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d2baaf9-0796-4bbe-8497-87788fdde598 · outbound

This paper cites OpenAI o1 System Card.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation OpenAI o1 System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.041998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e8c778a-ce94-49d1-8ed5-b838db82bd20 · outbound

This paper cites CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.044738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f77ca8b-69eb-437c-b2d6-900a7803faf9 · outbound

This paper cites ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.047986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd5c8e9-d9c2-44e5-a67c-b2d526326a24 · outbound

This paper cites Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:51:47.236276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 665524a7-b44c-42ec-8f8e-58c870a01d94 · outbound

This paper cites Cautious Next Token Prediction.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Cautious Next Token Prediction

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:51:47.223854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6bb44a55-f092-424d-82ec-8d6e00c6afd2 · outbound

This paper cites Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.056831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d1140b6-60e3-4886-b6fb-e78e726c0d12 · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.059699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c64650-4d4f-48bc-8ea7-0857109a3c0c · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.062756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac25331-fe8a-4cb4-9245-3adf92336a2a · outbound

This paper cites Pruning the unsurprising: Efficient code reasoning via first-token surprisal.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Pruning the unsurprising: Efficient code reasoning via first-token surprisal

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.065680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b553af44-74a4-49e6-935e-aedd8f3257a1 · outbound

This paper cites Is a r t i f i c i a l general i n t e l l i g e n c e likely to be achieved by 2030?.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Is a r t i f i c i a l general i n t e l l i g e n c e likely to be achieved by 2030?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:51:47.341946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4fc9c8af-e22f-4385-a4da-61bf2aa487e5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Training Verifiers to Solve Math Word Problems

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.029678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e325b4-96ec-4e00-b28b-c9166e774b22 · outbound

This paper cites Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.019334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8907baea-6128-4e85-a2b4-14496ca93a97 · outbound

This paper cites PonderNet: Learning to Ponder.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation PonderNet: Learning to Ponder

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:47.015805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229972c2-d4fd-4d93-9dc8-8d8680206a5f · outbound

This paper cites Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:51:47.300091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 45ed8b06-568f-4d8b-a8b0-9606e4be679d · outbound

This paper cites Let’s sample step by step: Adaptive- consistency for efficient reasoning and coding with llms.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation Let’s sample step by step: Adaptive- consistency for efficient reasoning and coding with llms

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:51:47.360985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.