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Paper Citation Record · LEDGER

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.05643.

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

pith.paper-citation-record.v1
2608.05643 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:05:24.798680Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c346b48-8005-4431-adde-304cc1ceb99b · outbound

This paper cites Reinforce LLM Reasoning through Multi-Agent Reflection.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Reinforce LLM Reasoning through Multi-Agent Reflection

Reference 1

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local_arxiv, observed 2026-08-08T05:05:25.034076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.654803Z digest=sha256:74f7a05a96cde47c188e2a153f07cc1406b098c7d6508b55be9fea89c7d79399

Observation 36205259-99cd-47fa-a780-7651f597f3c8 · outbound

This paper cites Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

Reference 2

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.659730Z digest=sha256:ea8eec17c4d012b0b9c9966ed38f3a7afaa8f6303cf6bd1a97b59333e0ea1f25

Observation 2dcbcbee-6208-4e2e-bed8-1e840581f407 · outbound

This paper cites Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models , url =.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models , url =

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.662931Z digest=sha256:ae5f5af56a7a247d3bda33dcc92e627066245f901f1ac0d95d801063144b3f7e

Observation 3c6223dd-c4b3-4a7b-bdf0-2a2c02a94603 · outbound

This paper cites International Conference on Learning Representations , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning International Conference on Learning Representations , volume=

Reference 4

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raw_fallback, observed 2026-08-08T05:05:25.236967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.665720Z digest=sha256:4d8e640185b7936a10b8b8243f6461b673a2bdea7abf6618d0441820a7280dc3

Observation 62ab7ef3-cefe-474c-b9dc-ca609cdf9a14 · outbound

This paper cites International conference on learning representations , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning International conference on learning representations , volume=

Reference 5

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source=arxiv_source observed=2026-08-08T05:05:24.668480Z digest=sha256:aca62144c58cb36aafff29d486d7a6773b46bcd94a99d97abbcecad772d5791a

Observation 6e7ed5cd-d3ed-4a8f-a76c-a7c1a52cfa28 · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 6

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source=arxiv_source observed=2026-08-08T05:05:24.671746Z digest=sha256:a960ee2780271eb059d5cd8f8e3d9c1aee1ce015ddfc32893bed760161cf77ae

Observation 17492b32-0316-40b9-81cd-50ab8576365a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Advances in Neural Information Processing Systems , volume=

Reference 7

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source=arxiv_source observed=2026-08-08T05:05:24.675177Z digest=sha256:f419f3e5c215af24a4481e60dc3efcbc22754b252209991a15527b813c27f49f

Observation f98886ff-bc09-4ef7-8cd8-099ee33e53c4 · outbound

This paper cites 2025 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2025 , eprint=

Reference 8

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source=arxiv_source observed=2026-08-08T05:05:24.678581Z digest=sha256:4f56b0b8acedbe96ae5e042989aad71f766e021fff490a2e32d36f3d29c0fff2

Observation 85537efc-3d58-42b4-8415-f72f3ca02ac4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Advances in Neural Information Processing Systems , volume=

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.681691Z digest=sha256:6b8114d46cb01ae2c7c865ff8b32b454d8f09c373dedcc4c75b1b86c92a19cec

Observation 4032f809-f018-41f1-85c6-b9c5b38d070b · outbound

This paper cites an unresolved cited work.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.685062Z digest=sha256:47e08aa1a9835e8fe946db231a49b3d34204bfd063879c161a81d6c3c2d5ad5b

Observation 69a6d1f1-5987-4793-89a1-6bf665c76124 · outbound

This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning R-Zero: Self-Evolving Reasoning LLM from Zero Data

Reference 11

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source=arxiv_source observed=2026-08-08T05:05:24.688120Z digest=sha256:2db1e7dd987ce1fe2d410b016b0d9040d32bf8ef56b45c464bae43064b3cf767

Observation 30bcf292-d11b-4686-9ffb-0b65846ee13d · outbound

This paper cites ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification

Reference 12

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source=arxiv_source observed=2026-08-08T05:05:24.691486Z digest=sha256:916e538141872613c04b725a45fe7ae70947b6f269ce61cf13220e4c3c7cc93f

Observation 125e49a7-029f-49c2-8732-da3535fde61b · outbound

This paper cites arXiv preprint arXiv:2507.12399 , year=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning arXiv preprint arXiv:2507.12399 , year=

Reference 13

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source=arxiv_source observed=2026-08-08T05:05:24.694829Z digest=sha256:3f6595551cfbf05a165e1e8aab7a58b1463b51c73bcbb954c34a3c9b4b928080

Observation bb3db56a-7be1-47c6-a9a3-8d9da103e0b2 · outbound

This paper cites 2021 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2021 , eprint=

Reference 14

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source=arxiv_source observed=2026-08-08T05:05:24.697900Z digest=sha256:65c26dd5150aad75c6675cb61558e6dc2c859df6642f8c255289af136b76418f

Observation aac36096-168e-47ef-acc8-b0a4373fe7fe · outbound

This paper cites The twelfth international conference on learning representations , year=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning The twelfth international conference on learning representations , year=

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.701060Z digest=sha256:5331429a1af67f375808832cc0cb04f7908ae5d349c758c22c1038de3c492d33

Observation 2cde85fe-d40c-4721-a47b-c5d912e74422 · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

Reference 16

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raw_fallback, observed 2026-08-08T05:05:25.173901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.704053Z digest=sha256:856bd18d9edb1dfd80630e577a8f12ea6514c7ebb580bafd1c8117bc255f0a0a

Observation 2b4531ab-a7a5-4378-b26c-cc6b4012dde9 · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.707069Z digest=sha256:ea885e84be89611f1d2d0cc9e071a2118d30d293c2f79bd5a18edb6ac4f978ef

Observation a9e798f8-823d-4df7-a572-f9152e25de47 · outbound

This paper cites an unresolved cited work.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-08T05:05:25.164116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.710516Z digest=sha256:a392736f519e5029630c60439916457aeb19b0903f3213f185ecd07ea1f8f81d

Observation db6f7105-1e6b-459b-a69d-5dca62372e76 · outbound

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

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 19

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source=arxiv_source observed=2026-08-08T05:05:24.713325Z digest=sha256:bea8f91f6bb3ab9ef5d04016656dc6bb2799ac07d38447d3298080e6172bfd82

Observation 7a1bb9e5-a64a-498e-994a-8a2353e61a3b · outbound

This paper cites Theoretical guarantees on the best-of-n alignment policy.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Theoretical guarantees on the best-of-n alignment policy

Reference 20

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source=arxiv_source observed=2026-08-08T05:05:24.716701Z digest=sha256:c8de8eda50488dc7ea6f6b647288c38dd15be17c1ef6aaf963d96729f1181a1c

Observation 5220630e-4343-43f8-9578-9ae05a19cf98 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 21

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no resolver link, observed 2026-08-08T05:05:24.719875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.719875Z digest=sha256:f563e8586abec6887d58136f81110c830950d8ff05f14357bc6875b539501ff5

Observation 6a73b261-8af1-483e-a100-5b5c114435e5 · outbound

This paper cites A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.722846Z digest=sha256:1a266c98b90ec94a5c6720efadc43a0b63b10b8a929b4a747b037f01e9632813

Observation bc540637-b016-46d0-880c-8a6348e0c045 · outbound

This paper cites The pitfalls of next-token prediction.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning The pitfalls of next-token prediction

Reference 23

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source=arxiv_source observed=2026-08-08T05:05:24.726104Z digest=sha256:ef0ab5832ec5a9034f7bc8ce450089902274f5893ae69be64ad83cc33735db07

Observation c3e9a9fc-6eff-4dc5-9c81-54b70b3dee8c · outbound

This paper cites Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

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source=arxiv_source observed=2026-08-08T05:05:24.729495Z digest=sha256:9ac8b79e949b4659de82d82fb94f98e22b372aec9a22584ae8f296e64122422d

Observation 907a5097-0ee0-481b-9235-a8eb2847cf80 · outbound

This paper cites 2023 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2023 , eprint=

Reference 25

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source=arxiv_source observed=2026-08-08T05:05:24.732487Z digest=sha256:1e40ba27c0036d760dd1f2c76432d3d84cc92abe2d00147c394343ec6121afd5

Observation e69fccbd-f210-4af3-a43f-e7aa42b98fa8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Advances in Neural Information Processing Systems , volume=

Reference 26

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source=arxiv_source observed=2026-08-08T05:05:24.735311Z digest=sha256:c949a8dc4b46057679000c09ba527bb74da35123a93e1d517c84cc4d18f0e461

Observation 6342d3a5-52de-4dd2-a959-33ba8fab7406 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 27

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source=arxiv_source observed=2026-08-08T05:05:24.737908Z digest=sha256:4b0e0c493225b2762950c7988e04c530795490cb17c49a1bed54edacc1a88d03

Observation 146908c8-e1e7-4a67-bb45-aa5792d2b4ae · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Generating Sequences by Learning to Self-Correct

Reference 28

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source=arxiv_source observed=2026-08-08T05:05:24.740924Z digest=sha256:ff179e7a22df9d2583c4e84b65c96a67fa82c03bb123f6e3d1c75d26ce46f9a7

Observation 143f28a6-f8ef-4198-ac8c-6357e69ebdce · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 29

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source=arxiv_source observed=2026-08-08T05:05:24.743756Z digest=sha256:dd7a2622034b5bc1cd4edc56b738b0f1df25450585fe8b5a8e0bc5936fe3beaa

Observation 427985da-5ccb-41fd-84d8-d7600b55613c · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.746406Z digest=sha256:2682ef0eae6c5728e87d9aea222bf89cf049df1307b9fa9a2bd7d8360c3aad47

Observation 9a7f3c66-5505-429b-96c1-a7ca2078920e · outbound

This paper cites International Conference on Learning Representations , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning International Conference on Learning Representations , volume=

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.749419Z digest=sha256:d6633e0f158edd4aa7a873cf940f36b5e4949728ca1f6785c979a20f64d42049

Observation bbfbb78d-1c20-4b45-b3c0-fc73273ea162 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Advances in Neural Information Processing Systems , volume=

Reference 32

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raw_fallback, observed 2026-08-08T05:05:25.119912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.752395Z digest=sha256:a79a5a89171a42064a16caeb766cb2d405d26d2a6691b97174caf9303f27afbd

Observation 18718c2a-b537-4a4f-9663-db8e7ad71df1 · outbound

This paper cites International Conference on Learning Representations , volume=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning International Conference on Learning Representations , volume=

Reference 33

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raw_fallback, observed 2026-08-08T05:05:25.110647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.755396Z digest=sha256:0e2ee4c5bfa40c7e5c22ef639c43029f6c4d920df22a1f403dbfb3acc56e292b

Observation 7dbb6a03-7e63-4cba-964d-1cbb5aa12995 · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 34

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raw_fallback, observed 2026-08-08T05:05:25.101929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.758614Z digest=sha256:3a439db484342aeb563227132ffe0489c2691c791208c76b0ebb8338845a0a2d

Observation 564dead8-8dd2-44dc-a138-48b5c69af1ac · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 35

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source=arxiv_source observed=2026-08-08T05:05:24.761655Z digest=sha256:8a573c8bd4c8dd0ea041d4c2cf5fbafd0ac71c38f8dcdf8883bf1e001f08457d

Observation 21c0bfcc-f37f-4793-9797-d7f1cb4edbc8 · outbound

This paper cites Qwen2 Technical Report.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Qwen2 Technical Report

Reference 36

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source=arxiv_source observed=2026-08-08T05:05:24.764805Z digest=sha256:b0754b66725e8b55d6df8bd9cff5b6922c3b0048ac846b61e64d2d731502a516

Observation bc10774e-fcb6-4d68-8549-728b5234fd05 · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.768025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.768025Z digest=sha256:9939dd9efb6325dedf49f48fbb6943cbfb2d24fde871549afb02453924483408

Observation 4b7c0f92-b47e-4bbf-aef5-4b35db4da5eb · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.771021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.771021Z digest=sha256:562d972cd9d825dc96c9a779118b1a3bcb0f00d6ae82a2eed042ff7893292228

Observation 4070248b-6fca-4317-80d9-fba13af97152 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.773920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.773920Z digest=sha256:c240d2be65315cecc43182c7d418e243c375ee485f207abb928332b72b01e955

Observation d458b1b6-119d-4e26-a6f4-18bcf72ef404 · outbound

This paper cites 2026 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2026 , eprint=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.777223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.777223Z digest=sha256:66bbf12939cd4559e33b9c6e7b9a0b27db039f5ef0ad2086b527a430f72e5250

Observation 02e6b7ef-e6c2-4aea-9ba4-68a2bffeda82 · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.780312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.780312Z digest=sha256:ba59d6663d765bb35014c3ae3e8033c45714529875472f937f8bc6a51d147c4a

Observation 0f88049b-497c-4b40-a282-5646d179d505 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.783454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.783454Z digest=sha256:eff34fe0b4ff7fbe355e049a4f4fd1ad777abb2bc58d121fb30b135a7bb733fb

Observation d5d35ed6-ef79-4147-983a-68e7feb33e17 · outbound

This paper cites Scaling Laws for Neural Language Models.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Scaling Laws for Neural Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.786495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.786495Z digest=sha256:721fe8a8c5582fb37c080defcb67f74e66cc305b61da5e43e45062b74ec019ac

Observation d77ba27f-41da-4b04-b6b9-9a58523f0850 · outbound

This paper cites 2022 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2022 , eprint=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.789759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.789759Z digest=sha256:7aeb8b49b1e19a34f95848bc02099069c92c99a1be43f3e16d8e7f0d44956e94

Observation 35ce8ba7-8ab9-4b4a-8bd9-6a201cd48cdd · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:05:25.059055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.792811Z digest=sha256:7ec30d151b1c66dc96b5b839c02eb87f8f8a1efdf4a06859a6ebe06c542610d9

Observation 4e865d2b-237a-4dd4-93dd-77633e753495 · outbound

This paper cites 2024 , eprint=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning 2024 , eprint=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:05:25.050171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.795779Z digest=sha256:e7962f2a8f32471ab47e207a8419497f2fb2f531440c50a2bafb0f217d4a8cd4

Observation 5c9c5b62-14c1-49cc-a393-a65d8d145ae9 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.798680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.798680Z digest=sha256:7df65467a704f204d1b745855ec65642f6cfaaa4cc2f40d15f9ee84d4262145e

Pith citing papers

No inbound Pith citation observations are available.