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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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.

source=pdf_text observed=2026-08-05T15:51:47.007835Z digest=sha256:5b2ba61505c1051951825be2e607a654e7d0b9b6b1f8a43607a30577b7862ea1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.071232Z digest=sha256:15407dc76b6211cff3ba20ea045ac55a20fc40cff322e491ed2e1d301a3185ba

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.

source=pdf_text observed=2026-08-05T15:51:47.026171Z digest=sha256:a15b9f448fc560b0882c577479c05f0617278923ba7037c63daeea87cafff931

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.

source=pdf_text observed=2026-08-05T15:51:47.032981Z digest=sha256:dc8af87274fc7639ed6af19a3a5f0acd49a4d3ada262f17ac70a91f9c0436ea6

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.

source=pdf_text observed=2026-08-05T15:51:47.036275Z digest=sha256:71dced45ef218e844a1b3a7a382da4f7f829ed6453b920bde452a1272c8a64e2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.039123Z digest=sha256:a8fa03aa8f15789bef1bd06797021e6b383ad9abb6270183924b9f07d52f3cc1

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.

source=pdf_text observed=2026-08-05T15:51:47.041998Z digest=sha256:736409d5fef3565996a15e47d7335e1618faf4b36fcf158b316fa49bdbf38f2a

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.

source=pdf_text observed=2026-08-05T15:51:47.044738Z digest=sha256:c08d30e0a7c749d10749f3bfea198fe02d45e5a90a257a82d958331316befe48

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.

source=pdf_text observed=2026-08-05T15:51:47.047986Z digest=sha256:316c4c2e05130f84f803cb79d2292cf8a791bc940f13410f6db8bee4f57da7ce

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.051023Z digest=sha256:e89b60c13cadb751649c2cb9bc578519ac1490e8ad4fcd02e23c58881f62b934

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.053897Z digest=sha256:b61f36c093a6acc08c453a99193e06453e82e6fa1d88d3808726b36793e6ab32

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.

source=pdf_text observed=2026-08-05T15:51:47.056831Z digest=sha256:cb380ccc540a57f247b36fe4f2e8d9f6a7a0413c3318c59afa8f24057fb4e60d

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.

source=pdf_text observed=2026-08-05T15:51:47.059699Z digest=sha256:78ea569109f061000ed527cfc235370dbeb346ca786a544e7e9d60388bdc31c3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:51:47.062756Z digest=sha256:29d58e25ce690db3ef2dcfbf5c23eab0d7f05a3819868b9c24070fdde191cfd9

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.

source=pdf_text observed=2026-08-05T15:51:47.065680Z digest=sha256:9f777ce5372ff390c451d31711e3bc9e39768d1d3b45c875e1c478a59603810b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.068257Z digest=sha256:2c7fcc635a002b0ca3da7f3b52496fca02d571aa7a1d37999d2c7428cdd9e87b

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.

source=pdf_text observed=2026-08-05T15:51:47.029678Z digest=sha256:3bc806cd993684707f436d7cf6888f3064222c51948ea7fe3a1d6c5b6f13046d

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.

source=pdf_text observed=2026-08-05T15:51:47.019334Z digest=sha256:08cbc335064dff91364f8f0afd6d56593faa52a8f1bdb08686a9f48dc60b0954

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.

source=pdf_text observed=2026-08-05T15:51:47.015805Z digest=sha256:dbfc22caad129df27108381e01e45b09ce915cf0b0650bd36102ca945f2a3a67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.022886Z digest=sha256:b5ab9596adb130caeb0a1e73cd29b89580304dd53a7fbe24913876af26f01d99

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:51:47.012476Z digest=sha256:eb197b51a2a086ee4982c78e42759c5e1812d2ca9c34b6cb69451085411d5420

Pith citing papers

No inbound Pith citation observations are available.