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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.654803Z digest=sha256:8a0a7c8be3612594af8a2a63e9db2060d3059208ec2000a8ce7e1d94956229d7

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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source=arxiv_source observed=2026-08-08T05:05:24.659730Z digest=sha256:807e7695fb56101d6fe56fb9e44ac6d995e3e9d31f1a92580d3ee9630e6cffb4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.662931Z digest=sha256:991e227a076b6a6392740a67ff7557de311a29bab07fca1a494d744cd8596a4e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.665720Z digest=sha256:5d0b77bbef2622f34b788a1740064e12ff50ef5e2ad6c127ab1ce2c31de17641

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=sha256:82fd8a021420871febbb280e69d79e1f586fdbaeaf9337cab4d6b203a81acabb

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:f85ce8ff8bcd38ce53452053a313ce262268a66d600991d11df98080950780f5

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:a64cec450175a129c5215f3b2fbcf7f15319d7895a0c173103f89533ea2569a0

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=sha256:1cd6c086de00fe83af376b7db19a15ddc14c59ff359e5407c5374ad1f18bd900

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.681691Z digest=sha256:c392344dc14cc850f09cbd612e6af54dc75ef903705b2a5a795aea3bb316ec47

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.685062Z digest=sha256:1494667775c28b231c91ff16f1b3486d4307948ba0da195b27f41ee2223ccddf

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:d51390c923dbd4963b5e5d77575860e615d17f250d8e8b50c4c07b0440947aa3

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:ed4fb0236adc8a36fc1605284b477ccf1cd1ccc0e7218e1f82d12914dbbf0bbe

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:c4d7ba6dd43caa74f820e94554fa1844c4f3e1a84fec89ebbd9b7162a680bb8c

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:ce20be8cd11be175493667b3e37b9c35a6434838dacbc10d59f7cc347cf7971f

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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source=arxiv_source observed=2026-08-08T05:05:24.701060Z digest=sha256:312f58c4e217f376589c80eae639e585df8a410d0f4c45d83d8706ab17a0e40c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.704053Z digest=sha256:7bfaa4b7a65affcb63a5cafcc06784d409adccb411cac9b8ca31bde21c45b029

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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source=arxiv_source observed=2026-08-08T05:05:24.707069Z digest=sha256:7976973a0487ff3aae07cc9b35e101110003b2547b346f74739eae73c4327326

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.710516Z digest=sha256:db8444ffedf618a9ea9444c0a09abe2bd4a040d708b6df882b2b488e1232379c

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:a574dca7babf07434a94bb4094fca39b24b15a06618db7262b52e12fd0987f4f

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=sha256:1118497711171854c05dd570502b9593275be148f19e04e891429006a0499250

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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source=arxiv_source observed=2026-08-08T05:05:24.719875Z digest=sha256:0b9d94b9757faac31cb199fc4b4f6b42332113c36f7f96738aef7cc994ea353d

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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source=arxiv_source observed=2026-08-08T05:05:24.722846Z digest=sha256:468b32df04dbcde08ff76998ebc5b09bb96c1477cc2a18fefa8d045dba7d94c0

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=sha256:23819cc4f4b14a4f0c45da9316c63582296e5eb88311fb77ae486ca88f934ca6

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=sha256:95227b67eb01985fb9800ebb789c0088bcd8f30e97c58a6488375bfc03b0bf14

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=sha256:0b25b7df089e30cadf28203d58a453a491d505480120cdb290d2e3dc92c2752e

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:efd4f11f5c0c11cf56ba158ac923fb56fb2fee038e4d24bd46687ae355d1b985

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:eaa32078334212f6f739113326b6e1900a7011863b259a361e7e805e5ece6477

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=sha256:2a5d70214d8b468f67a20f65e8ad4880fe7c6cd8f99b479e7a1e058c48418cbe

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=sha256:1fdbcf45acba9f7b067473e5e846bf204d5cde52a4b08b6272d3dd5c8ad7c10e

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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source=arxiv_source observed=2026-08-08T05:05:24.746406Z digest=sha256:e8e17333761337e2af569819806d37aa7466d879aea3ef4fb2f07b0b1168e7cd

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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source=arxiv_source observed=2026-08-08T05:05:24.749419Z digest=sha256:52516db4e8e3e7fe87228104491e0a8e38a50745885e21159e81b586c994d0a8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.752395Z digest=sha256:d679a55ffa15b3a1cf11a03d4d18bffb66db7a466355d093623c461db421c170

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.755396Z digest=sha256:b4bcbe27251c5b0faaed0ca55c9c5b15d8c96977479245ff09044822584cbce6

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.758614Z digest=sha256:4245bb770983b75079a9841824862d36fab006f608ee744ea7bbdef1ebd986eb

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=sha256:69e4965f3891ac9066696466f13d40b600647bf7650b18c52ef7948e51fc70b2

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=sha256:60b974d1297e0b2c93e681e2875c6623fbb1b2057b60e2ae77c562571316da69

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

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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=sha256:93dc36f3b8e59ec8c57c7be5e979cbb77c52920e18b8b9950fe40b3e964e4088

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

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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:f146b6085405be4fc07fb775dfb1b177283c1933b8b64a14add4a95722b08d56

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

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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=sha256:1745976267942fd78c8cee15e2789a15430050008d3f377b89ee7e9121089b30

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:c36361e6492942fb448836da43abec790c694fb58b057e6d6f3c64269fe648ca

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=sha256:0d82ab7c11f11c29d92aefbafd69084ccfdfdb1cfa7945461f0db574c2fcca1e

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

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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:f806d6aac8654739ef0f5fa2ca46ec9025a75bd49f96d49ed7df112c6c611a8a

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

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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:dd3433ab410e667436f015b6b822dd735f94e1f280dd65a209891c9837d68653

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

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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=sha256:08374a2a977aab00554b959c11b4bcc52c5bf7924b2b3c6f7973884f11dae083

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.792811Z digest=sha256:f4d963ef89f56efc84e81773ecdac1b3bad7d7247e51e4b14598e75a3811bc02

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T05:05:24.795779Z digest=sha256:4aca70a901dbda50f5fb32bf5a93194bb2629aece51e738b06183c172d426144

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

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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:cf68e6f0f84cd3cda52e12f67f6b6461f89a8e6276908135b7b03ced4cdcb73e

Pith citing papers

No inbound Pith citation observations are available.