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Paper Citation Record · LEDGER

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 9 inbound Pith citation observations for arXiv:2502.00511.

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

pith.paper-citation-record.v1
2502.00511 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:53:44.266195Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:46.674252Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:46.212304Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5737d99-9095-4db8-afaa-ea68b43b25fe · outbound

This paper cites True” token and the first generated “False.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning True” token and the first generated “False

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-09T18:53:44.505717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a4b0b812-6fc0-435d-8d4a-37478c83c508 · outbound

This paper cites and Boult, T.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning and Boult, T

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-09T18:53:44.626090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.174506Z digest=sha256:072e136b761aa981426801f2ea0c9807e8d3f909345ccac170cfbc2865466ba2

Observation 7ad30265-9d60-4c63-b4f5-cf6d37dc6d16 · outbound

This paper cites MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 7

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source=pdf_text observed=2026-08-09T18:53:44.190856Z digest=sha256:002a0c17975daffc225eff5d624cd87188a9ee321f71240be2ada4b506b2c034

Observation d61e38a5-dee2-4724-b913-3c5a57d5f793 · outbound

This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Reference 8

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no resolver link, observed 2026-08-09T18:53:44.196975Z

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source=pdf_text observed=2026-08-09T18:53:44.196975Z digest=sha256:8bd26ffca01e7fae1c62c5c0fc2879f52bc4c375f07b8f52785e55ecc23c177d

Observation 84403a9b-bf10-4d81-8e38-fe790964e0eb · outbound

This paper cites Language Models (Mostly) Know What They Know.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Language Models (Mostly) Know What They Know

Reference 9

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no resolver link, observed 2026-08-09T18:53:44.203285Z

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source=pdf_text observed=2026-08-09T18:53:44.203285Z digest=sha256:f0b63d8686eabd92d7f2d8c2df986b867d5e65da04e8f4ee82178f840d131f80

Observation fd3df95f-703c-4ee3-901a-8ba0f8685769 · outbound

This paper cites Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning

Reference 12

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no resolver link, observed 2026-08-09T18:53:44.219142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.219142Z digest=sha256:c4a2675bfaeaa4fef6619f1abe7f57d7d790314b7e4713f9b5bae553ad5a543e

Observation 0cba2124-ff71-4ada-b066-0b745a56491b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 13

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no resolver link, observed 2026-08-09T18:53:44.224498Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.224498Z digest=sha256:94732f73169a37ee6f4ac881a394d15d5d751875a203b6eb4f3527b30a22c943

Observation e40a20ec-cbb0-4cb8-bfcc-95b9d7ba2a42 · outbound

This paper cites an unresolved cited work.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Unresolved cited work

Reference 14

Resolution
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raw_fallback, observed 2026-08-09T18:53:44.574309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.229782Z digest=sha256:3428606b781cd3a5d5ef98140dbceac0c3fb5338b1b60a7952c6edde323780db

Observation b10ddaee-901e-4323-a1da-6e105c7ad7e2 · outbound

This paper cites Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling

Reference 15

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no resolver link, observed 2026-08-09T18:53:44.235170Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.235170Z digest=sha256:46acd4a6d95d4c029bda7f7316ed17b0a49cd012305e2d7e2324bc6169a876c6

Observation e0c332b4-8413-45eb-b1bd-25ec35791261 · outbound

This paper cites Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 16

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no resolver link, observed 2026-08-09T18:53:44.240467Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.240467Z digest=sha256:f0c17e49d3f13f3273b1a1fd0abe1ceb8b3c9aa10933a809ee2037349702903b

Observation 443862c3-6d67-439d-ae9c-83c2cf0fc4de · outbound

This paper cites and Rabby, G.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning and Rabby, G

Reference 17

Resolution
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raw_fallback, observed 2026-08-09T18:53:44.555499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.245491Z digest=sha256:8bff42b67f126d4e73f11166d3841c1b4f09ad4e12b2bcdbfe9128b1ce299fde

Observation 4475aa4f-8719-4bf1-ad3a-c831c64701d6 · outbound

This paper cites an unresolved cited work.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Unresolved cited work

Reference 18

Resolution
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raw_fallback, observed 2026-08-09T18:53:44.538460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 45b87f97-b23a-438b-bee0-071b8fbaabf0 · outbound

This paper cites user” and “assistant.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning user” and “assistant

Reference 19

Resolution
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raw_fallback, observed 2026-08-09T18:53:44.521980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.256077Z digest=sha256:92510eedff0315c91d31f8f7a688fb9eb1c1d802b9802d4a146096ab020ad15a

Observation fa7b37c9-1ad7-4e22-8d72-2bcd64877c9d · outbound

This paper cites \nclass.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning \nclass

Reference 1024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:53:44.487973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.266195Z digest=sha256:425534c7fd7f9e0a0ebcbeb5bbc7704a9939219652770212563d26ce3c1070d3

Observation 68630d23-f72d-43c6-8f49-411a5970f678 · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Universal Self-Consistency for Large Language Model Generation

Reference 1998

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no resolver link, observed 2026-08-09T18:53:44.185243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.185243Z digest=sha256:5a87a8a30172cfafd6c4285e5c673a00c9fcc0ac2074e57fd51800ceb1bb29b8

Observation 6c0a278a-2b8a-4854-a78b-4303501472d4 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Evaluating Large Language Models Trained on Code

Reference 2003

Resolution
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no resolver link, observed 2026-08-09T18:53:44.179384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.179384Z digest=sha256:f77738a1ee1ad548dc5b20102d55f3152efcd26af409c6a559c4e4bd5e13b3a2

Observation e13db588-6001-499f-8421-0852dbec36e4 · outbound

This paper cites Cycles of Thought: Measuring LLM Confidence through Stable Explanations.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Cycles of Thought: Measuring LLM Confidence through Stable Explanations

Reference 2021

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no resolver link, observed 2026-08-09T18:53:44.155635Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.155635Z digest=sha256:695482e29066e45a0ebd8f1896e48f2ae36743255f1c4c32c575aa9d91a228c7

Observation 8aa90018-a7a2-40e1-bedf-75528d4ade1e · outbound

This paper cites Chain of code: Reasoning with a language model-augmented code emulator.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Chain of code: Reasoning with a language model-augmented code emulator

Reference 2022

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raw_fallback, observed 2026-08-09T18:53:44.610393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.208566Z digest=sha256:75361b705c0dded35e7d09f12ce5a6d0595256759f031f2de2267acc6d3ba4de

Observation 15b93abf-1cdf-4611-8d73-68cf4dfcf92e · outbound

This paper cites Program Synthesis with Large Language Models.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Program Synthesis with Large Language Models

Reference 2023

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no resolver link, observed 2026-08-09T18:53:44.123300Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.123300Z digest=sha256:24254a8cede5bf2047c1f02a968f2146d99af8d34d6a97f2c7bc9d2a7471421a

Observation 241660df-93ce-4a6b-8264-73c99b978dbc · outbound

This paper cites an unresolved cited work.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Unresolved cited work

Reference 2024

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raw_fallback, observed 2026-08-09T18:53:44.642436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.094721Z digest=sha256:9ba6058d22c46b9d5ab058eeefa2d8f88c4036017cf1ce47680e61b33e8f2049

Observation 859fb051-9053-433c-ab57-c02a8959948c · outbound

This paper cites and Li, L.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning and Li, L

Reference 2025

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verified fuzzy
raw_fallback, observed 2026-08-09T18:53:44.592799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:53:44.213761Z digest=sha256:bc58e34c973ff0e6f327269129fe9119bb33f193b375c74a9577f5245da47fbb

Pith citing papers

Observation 65b72ba9-9e31-4067-8aee-8e667689bf50 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 247

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arxiv_id, observed 2026-05-14T01:29:57.479931Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:c0bf305009edbd2ec771b5c31cd0146b2427c01065baa79bc299f43359bf3c2d

Observation fcfcb776-138f-471a-abff-533d179ebdbb · inbound

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time cites this paper.

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 84

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no resolver link, observed 2026-08-07T12:35:46.674252Z

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source=arxiv_source observed=2026-08-07T12:35:46.674252Z digest=sha256:4de9dc53ec96fbb504871d6902e2e40a7347ad226a5a6e5f366bd8dfa708481e

Observation 8960f8e4-c561-49ab-9052-981e696077e2 · inbound

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? cites this paper.

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 33

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no resolver link, observed 2026-08-06T17:12:12.638442Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:12:12.638442Z digest=sha256:4a737bb27cad0cf4b1cd9f48c676bc0278945738348d4d48e88935faabf6d7a1

Observation a53cd198-884b-4cc0-9730-6ea5434d034d · inbound

Measuring Reasoning Utility in LLMs via Conditional Entropy Reduction cites this paper.

Measuring Reasoning Utility in LLMs via Conditional Entropy Reduction Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 21

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no resolver link, observed 2026-08-05T15:10:44.735773Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:44.735773Z digest=sha256:c22b6c63cd560588079028fa44551db4605a13d7b28edea10de04c1181e91352

Observation 2f5bbc13-16cc-486a-b6f2-79c210e5eed0 · inbound

Self-Reflective Generation at Test Time cites this paper.

Self-Reflective Generation at Test Time Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 26

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no resolver link, observed 2026-08-04T12:41:43.323131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:41:43.323131Z digest=sha256:872b51187779df5965f4bc3c0bc599c5507e446cf9afaada78cc20a90e611588

Observation 4b2b2822-dca1-475c-8b9a-65162eb2735a · inbound

Training-Free Object-Background Compositional T2I via Dynamic Spatial Guidance and Multi-Path Pruning cites this paper.

Training-Free Object-Background Compositional T2I via Dynamic Spatial Guidance and Multi-Path Pruning Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:02.076715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:56:06.693585Z digest=sha256:69bcc5cd30cca9f8fc2797915394f652c564d3967c7429d700a50919050e2b4b

Observation 3e7c1f97-00c1-44c7-989c-fb7a17f931ca · inbound

Calibration-Aware Policy Optimization for Reasoning LLMs cites this paper.

Calibration-Aware Policy Optimization for Reasoning LLMs Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 48

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verified exact
arxiv_id, observed 2026-05-11T10:06:01.131528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T15:40:24.396851Z digest=sha256:513262607135370f41bc9080ee547f99afbd6f833bab019c13e663a7088feb46

Observation 70c0bed6-91e4-4041-a6ce-3d31b587026f · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 185

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metadata mismatch
arxiv_id, observed 2026-05-11T20:06:09.469043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:d30f171856c10f415c17790034f1668c76747e7d58f236d8461027dfe78a851f

Observation 1ffdec34-f753-404d-bd3c-4bf0c634de17 · inbound

Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots cites this paper.

Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:26:46.214008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:55:09.927034Z digest=sha256:ee98c4372c45e3ff084073351b2bc3b712c14265a4c626f23002b095d0db8211