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Paper Citation Record · LEDGER

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

As of 9 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

Resolution
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.

source=pdf_text observed=2026-08-09T18:53:44.261137Z digest=sha256:aa2e52aa49a1a7c8e11bd4a77fd5c6871e27bde6f030e6e1d5a5c278c5f14143

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:e3d3c2630d2f7ab580e85e9c79df5a16579ad6863c867fb5f072b486c04c1eff

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:c4cc541b9dd685bbb1ed57b6f51cd0e7d84a5ef351fd9afd5aecf0d6b37b11a9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.196975Z digest=sha256:a8c6edd4a043329d6d1e9a21564aefbe2c9d3c15bf7419b658ea40f435c3468e

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.203285Z digest=sha256:6508b58566f630828f90abf4e02d6bb0fd6a2fa925b1b25eb759bd04afd2f2f1

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:c9a21e3bbeec7608eb67210da5263c22bbd93a8ec269005a103c5b8cd77ed66f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.224498Z digest=sha256:87dea3f810f2f900776482a92a26e6e8e161bd15c41b7b4ab5bc39f8188afd9e

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=sha256:3f0a67deea164c5a9a67ea545b988e6e2bf86be26b1619ce2cce8fd74dd5e750

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

Resolution
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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:bccb96440827c4a3fafa96514b258cdde7bbffcf34890929749aaf17b2e3fefc

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=sha256:72395f8bbbed4082704d7a97e895a1854047e582a16ff48c50c7caa37e6e8554

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=sha256:8fc0ab0cdd7e3624c8ee88a8094defa9abe9aaa2039fd5c130810b95d72bf1a6

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:f1706041179f1be00d833a66ae2e100986d5fbde69d6482cffecaa1a0fa7c9cd

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=sha256:254e24ab9c8c1db49eb904a430d8c62c9da26f2700e5bb1ac31a00300bd2dd75

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

Resolution
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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:c278f815677b4aab1ced30faff3035b6cb92459daf66905cc975f7a27a62434b

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:efca5a6df9b1a450363407ba126933b9993ecbb93ba0dda0894de676916fde2f

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=sha256:1c64f9ec6c03065e66684e4850f8f6b02fa83af495f5441c9cd285ba02e486a9

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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verified fuzzy
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=sha256:9dc4d9e26885a7114481322031e1f2324480da3ca5dc1516a2163a88766fd26c

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:f2bac9a5cab6e2f806e42bc3f7d4e92eec09a481c7580542badaec501e89a53f

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:f55bbdaad9c9dc8ad5017763e980dbdd404f4b50d1851497c83a135698a4fbfd

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:e5de29d9617615dc7804ee294fa070890af88c0fbab7e12c77f8c02836577622

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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verified exact
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=sha256:9a14549a502ca27f0616ccd45f1699d735d34d15e59ad4c3bb561b82b1bfb818

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:46.674252Z digest=sha256:d682f8a2147485f0af48b594f5f536415f8b8475315d38653a6dc4c5e9f244f1

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=sha256:71f37ddb03af7a7868fcaa91a51578d94fd5592e19b5736cb1d08b8e7130944c

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=sha256:7290cc396bc5e889947b85bf8b2beefa1d626faebf3c4e4b72df74225bc53ddb

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=sha256:2bcd43979def284edb18d64b0507e16b80c1b169c59c0305bcc033c3c459798e

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=sha256:6a41c121ac46d9af3dfffa120cc62d8da4bd9c39aaac9de5ba5119bdc54cf643

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:efcad8ca68a50f22ed0cf5d3bfbda3439cd139f168665980ef98c1504a839c77

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=sha256:5cb7e5554b1ecfd835e30f5c1c4f8940dd7147b893b3cfbfdcb4b05a8b8d6f72

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

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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=sha256:8419f77af79ff1465cdf947261cb3dfcf6aab85a8b77d24c4f5814306b3d8f07