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Paper Citation Record · LEDGER

Large Language Models are Better Reasoners with Self-Verification

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2212.09561.

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

pith.paper-citation-record.v1
2212.09561 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:19.077257Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

18
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 87d19f36-573b-4aee-bd63-bd4c465b0a80 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models Large Language Models are Better Reasoners with Self-Verification

Reference 166

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arxiv_id, observed 2026-05-18T01:06:50.450011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T01:06:49.811982Z digest=sha256:509669adacc9e4b263eddce55ab212b5bd943e404ba79a09a767229fb4493c60

Observation bf93e7fe-e22a-4b3d-b04a-b20630d7b83d · inbound

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment cites this paper.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment Large Language Models are Better Reasoners with Self-Verification

Reference 16

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source=pdf_text observed=2026-08-12T17:45:06.327675Z digest=sha256:2f04fd02026dd42f4ad6166bb9b77a00a53a54f49cbcba53d1291ff69c08c7be

Observation 2c0632bf-d3c1-44f4-97b5-d612d366652c · inbound

Preference Optimization for Reasoning with Pseudo Feedback cites this paper.

Preference Optimization for Reasoning with Pseudo Feedback Large Language Models are Better Reasoners with Self-Verification

Reference 35

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source=pdf_text observed=2026-08-12T13:21:05.689035Z digest=sha256:d6d85be94910ce77e984d0f817162cab8fd97f7b3962336ce052b79ac7808eb1

Observation 09c0690a-0e04-4c24-b199-3b1f51d64930 · inbound

Probing the limitations of multimodal language models for chemistry and materials research cites this paper.

Probing the limitations of multimodal language models for chemistry and materials research Large Language Models are Better Reasoners with Self-Verification

Reference 35

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no resolver link, observed 2026-08-12T12:45:35.830417Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:45:35.830417Z digest=sha256:49b5592e4aa884690f1aff8923df873edb9ce90a3141f009b2afab9da3fedce3

Observation 498cb045-9f24-4c94-9c8e-1c7d6ad68a5c · inbound

Training and Evaluating Language Models with Template-based Data Generation cites this paper.

Training and Evaluating Language Models with Template-based Data Generation Large Language Models are Better Reasoners with Self-Verification

Reference 10

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verified exact
arxiv_id, observed 2026-05-23T17:03:12.419135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T17:02:06.199875Z digest=sha256:85460c0ce0747242416e4d92caea8550acf34941b78dcebd171f5fca382d1473

Observation 175b283a-c117-4639-b775-6f677e43362c · inbound

Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning cites this paper.

Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning Large Language Models are Better Reasoners with Self-Verification

Reference 32

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no resolver link, observed 2026-08-11T17:25:59.713082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:59.713082Z digest=sha256:d1846124b0cdca59c7c268b7f7f297b27c686e1b3e5bbd01b8b6983c6cd3b2be

Observation e80af26e-7d64-44e6-b171-b826f5736477 · inbound

KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation cites this paper.

KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation Large Language Models are Better Reasoners with Self-Verification

Reference 41

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no resolver link, observed 2026-08-10T23:21:34.248645Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:34.248645Z digest=sha256:19da0b5e42d66dc84a7e6c416b0d2e52ce6db8bc673ba6a1f0171a5fcbe2d0b3

Observation 156af699-3c21-4549-922b-f149d636c04e · inbound

Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion cites this paper.

Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion Large Language Models are Better Reasoners with Self-Verification

Reference 65

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:35:42.098860Z digest=sha256:a813b7bc68f40353af38d4d67a1c40647683ca29ea26d0d5df0dcaca93d06be8

Observation 79738a5f-8d30-4efd-8291-a70551262d76 · inbound

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning cites this paper.

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning Large Language Models are Better Reasoners with Self-Verification

Reference 18

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no resolver link, observed 2026-08-10T17:27:43.144154Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:43.144154Z digest=sha256:84cd5c2d539c0f78b53fe372c2f1faf6934e6082d2e16ca9eaf149ba15fa8cd0

Observation 1654f0ae-fac7-4dab-876a-0c4cd91e19b0 · inbound

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains cites this paper.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Large Language Models are Better Reasoners with Self-Verification

Reference 7

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source=pdf_text observed=2026-08-10T15:13:43.413912Z digest=sha256:1fac026f7ffbb99ee4323624c66c320af6c5a886a3bd95e275868a82a6f4c8dc

Observation 0f2c44c4-5410-43b6-80e4-8a5068614f84 · inbound

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models cites this paper.

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models Large Language Models are Better Reasoners with Self-Verification

Reference 56

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:21:29.064025Z digest=sha256:01af13d5a3ae45d345b09bac7f1f2aebf000e6e813881639bd0e51835bd6ea29

Observation 2ed79e0e-0500-4585-9102-bce523ad6757 · inbound

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization cites this paper.

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization Large Language Models are Better Reasoners with Self-Verification

Reference 30

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verified exact
arxiv_id, observed 2026-05-16T00:19:20.641772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T00:19:20.462455Z digest=sha256:0084ad675d234128464ee4ac8727b9b070014c977492f858c7bf823fb6b4e572

Observation a222b479-f9fc-4ac7-a466-dbcabce47163 · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law Large Language Models are Better Reasoners with Self-Verification

Reference 114

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source=pdf_text observed=2026-08-16T00:48:19.077257Z digest=sha256:5cc95ae850fac8e864a31329bf63a2aead75ba2adf1841fb1eb8245d31d130e1

Observation 4375e49a-f2ac-4fde-bc32-62f5f36fd0a2 · inbound

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification cites this paper.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification Large Language Models are Better Reasoners with Self-Verification

Reference 13

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no resolver link, observed 2026-08-15T21:45:32.135326Z

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source=pdf_text observed=2026-08-15T21:45:32.135326Z digest=sha256:c215549f77432594c9a82a70bf10a23357bdc67289717d2fbdd7fc656c69202f

Observation 5398508f-cb57-4102-bcaf-701f0eda6bba · inbound

LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas cites this paper.

LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas Large Language Models are Better Reasoners with Self-Verification

Reference 5

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no resolver link, observed 2026-08-15T20:41:47.156554Z

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source=pdf_text observed=2026-08-15T20:41:47.156554Z digest=sha256:c1a57af8d390d05675329d56a03d2b78bf9d4d33e23e4c35021161ef35310662

Observation 57b78269-1397-49cc-8174-902ee5645fc5 · inbound

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation cites this paper.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Large Language Models are Better Reasoners with Self-Verification

Reference 73

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source=pdf_text observed=2026-08-15T20:12:31.131110Z digest=sha256:80a54db02886d1b369a3feda9c2908b2429518ddda4822486ffe4e8d9058517d

Observation 9c4f8dc7-3ecf-4c08-8cb1-acb93e041926 · inbound

Adaptive Plan-Execute Framework for Smart Contract Security Auditing cites this paper.

Adaptive Plan-Execute Framework for Smart Contract Security Auditing Large Language Models are Better Reasoners with Self-Verification

Reference 28

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source=arxiv_source observed=2026-08-07T15:26:13.393129Z digest=sha256:3f7f1ebe1b5b18e39e1f3280cab1240a697ed0964d644da5d7c8561d123ae119

Observation d4655333-ac14-4745-9507-ef5406937add · inbound

RewardAnything: Generalizable Principle-Following Reward Models cites this paper.

RewardAnything: Generalizable Principle-Following Reward Models Large Language Models are Better Reasoners with Self-Verification

Reference 38

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source=pdf_text observed=2026-08-07T11:04:06.854412Z digest=sha256:5925157de2da81361f80833859ea3114c39fa3e27411bb8c0c83d672ceaf50c6

Observation c931d564-86c3-4854-8096-736595ec00c7 · inbound

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning cites this paper.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning Large Language Models are Better Reasoners with Self-Verification

Reference 39

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source=arxiv_source observed=2026-08-07T10:54:30.506047Z digest=sha256:b64e6af3e1f90d5c8e27e3f4055e1715ea444a4baa5cfbc4a4aca0c247947d97

Observation 7db21fb0-8274-483a-855a-770646a5f354 · inbound

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation cites this paper.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Large Language Models are Better Reasoners with Self-Verification

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:58.811397Z digest=sha256:5b327a57852269502132b6ed7e5474835540aaad55d7c90692d75b65cca1cf8f

Observation 949c595d-0aaa-4b59-a4a9-f583ed321d80 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? Large Language Models are Better Reasoners with Self-Verification

Reference 177

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no resolver link, observed 2026-08-06T10:55:15.094648Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:15.094648Z digest=sha256:2cb9248a89dc22674abc2b7d1fb634da3a88d76f2debb5cac02697b4c7fc1ec5

Observation 9d6e1274-e8ca-44cf-bb04-e2c3c3b9917e · inbound

A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health cites this paper.

A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health Large Language Models are Better Reasoners with Self-Verification

Reference 18

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source=pdf_text observed=2026-08-05T23:42:37.743485Z digest=sha256:0ca0984c79f95b50c80bb193ecb5e7ccb17e134a8a8c27c98a9e3f736d00e6e3

Observation cc7c6947-caf7-4409-ba0f-e7df1fd58c6f · inbound

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection cites this paper.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Large Language Models are Better Reasoners with Self-Verification

Reference 27

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source=pdf_text observed=2026-08-05T10:50:33.558699Z digest=sha256:36a9e4c2ad3fad0bf9486d1ea6763dd662b657c1982c76b675325697e1150d7b

Observation 841134ed-ef66-420b-b9cf-64e601b859d5 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Large Language Models are Better Reasoners with Self-Verification

Reference 149

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source=pdf_text observed=2026-08-05T04:50:32.060826Z digest=sha256:de0e333b3d725f97fd3e8e9c6b3ba704d2a6410953501cba9fc3c9e46aea8263

Observation 47bd3797-0204-4b01-aacd-567bb566c419 · inbound

Generating Verifiable Chain of Thoughts from Exection-Traces cites this paper.

Generating Verifiable Chain of Thoughts from Exection-Traces Large Language Models are Better Reasoners with Self-Verification

Reference 20

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arxiv_id, observed 2026-05-17T05:19:04.847935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T05:17:10.692544Z digest=sha256:5d5cf41c53cb99332a4451f284ee4c0dbd665024e222ead82587427016cbc31f

Observation ddbd51d9-e49b-47bc-aca4-d7cd338d9d68 · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Large Language Models are Better Reasoners with Self-Verification

Reference 57

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arxiv_id, observed 2026-05-12T03:01:18.658690Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:81e389ddfce27a7cf385d580322e99a08119dc40f101b804f1a10bb904c6cf30

Observation dd75ecbf-70cc-414c-8d99-dfdffd878c5b · inbound

CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO cites this paper.

CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO Large Language Models are Better Reasoners with Self-Verification

Reference 29

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arxiv_id, observed 2026-07-01T19:26:01.082373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T22:25:04.067339Z digest=sha256:2171c556fb6fdbc27db239676c529b5b4a09611f942d8982f4f16c4b53e04994

Observation 83c150a8-981a-4da6-b1c6-f40f66327281 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Large Language Models are Better Reasoners with Self-Verification

Reference 259

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arxiv_id, observed 2026-07-04T09:59:44.975482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:1746cd4499bfd497e9317478d48f3dc6c0de8ad81d1c41e8853637816c73ac0d

Observation 767f0832-0969-4201-9252-1491ce822572 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Large Language Models are Better Reasoners with Self-Verification

Reference 258

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arxiv_id, observed 2026-07-01T18:55:59.723648Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:f869e4b3ad3c00859b45b8d1d68b045fda93ceaf1e4fd29a271a8e981be2062d

Observation b9b49c14-c70c-40a0-b52c-d1414f2795f4 · inbound

Grad Detect: Gradient-Based Hallucination Detection in LLMs cites this paper.

Grad Detect: Gradient-Based Hallucination Detection in LLMs Large Language Models are Better Reasoners with Self-Verification

Reference 51

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arxiv_id, observed 2026-06-26T00:08:43.193888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-25T23:59:19.950066Z digest=sha256:659276d5ac8e1429c6f642aab7a0c5381cfa4a39c30f2279d6e9a70fc1294828

Observation ae4175c8-52ee-468f-aa47-f92b582d0f9a · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Large Language Models are Better Reasoners with Self-Verification

Reference 297

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T13:53:36.775836Z digest=sha256:1b727da2200de0be13917be5bf7072ee9b986c423bf8256cd67f13ecfabbfe50

Observation 49858bb7-7478-4275-ac4c-80d9c5bfd1c3 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Large Language Models are Better Reasoners with Self-Verification

Reference 298

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no resolver link, observed 2026-08-02T08:41:07.372997Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:41:07.372997Z digest=sha256:62b09af4b46ed93f5c8447e83a6b86e65a610b74b2e611f5c4c53047a518076e

Observation b9cd906f-3757-4a56-bb68-583c10427c95 · inbound

LLM-as-a-Verifier: A General-Purpose Verification Framework cites this paper.

LLM-as-a-Verifier: A General-Purpose Verification Framework Large Language Models are Better Reasoners with Self-Verification

Reference 35

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local_arxiv, observed 2026-07-07T12:53:50.153069Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-07T12:47:29.552283Z digest=sha256:a94be63f5909dbace627fea91bd53af660082843dcfb30d25970e826f480b305

Observation 23224799-541a-4ece-ad26-a35ac5686095 · inbound

LLM-as-a-Verifier: A General-Purpose Verification Framework cites this paper.

LLM-as-a-Verifier: A General-Purpose Verification Framework Large Language Models are Better Reasoners with Self-Verification

Reference 35

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source=pdf_text observed=2026-07-11T07:02:51.850836Z digest=sha256:58cc1fbfa929d7a1c81539e0fe135d8b4397fa3e5e5797cd90d865a0d982ebd2

Observation e906efa1-9a6d-4761-96b0-bab725a45db5 · inbound

Imprompt: A Language Framework for Prompt Programming cites this paper.

Imprompt: A Language Framework for Prompt Programming Large Language Models are Better Reasoners with Self-Verification

Reference 57

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source=pdf_text observed=2026-08-02T07:07:44.614766Z digest=sha256:68a78d622427430fc88222daea13d12f983b38d22fa47f38f06973c7d7865b4c

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Mitigating Context Interference for Reliable and Efficient Search Agents cites this paper.

Mitigating Context Interference for Reliable and Efficient Search Agents Large Language Models are Better Reasoners with Self-Verification

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