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Paper Citation Record · LEDGER

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 inbound Pith citation observations for arXiv:2308.03188.

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

pith.paper-citation-record.v1
2308.03188 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 48 of 48 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 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:13:07.366906Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

24
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ece3ba15-e83d-4189-bf43-de55bcbe0197 · inbound

Large Language Models Cannot Self-Correct Reasoning Yet cites this paper.

Large Language Models Cannot Self-Correct Reasoning Yet Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 14

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arxiv_id, observed 2026-05-12T05:48:27.808890Z

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=pdf_text observed=2026-05-12T05:48:24.133045Z digest=sha256:cf6260fb4803e129e87d6bb16bc455b5d0c4c10b2b51ec35b7c430703a0e3ae0

Observation 2ea29c8b-9bcf-476d-91cb-4d583f269008 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 248

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verified exact
arxiv_id, observed 2026-05-13T02:46:27.842001Z

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=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:b6e244501bf511cd4fd1fc5d29bac5e49a3e174d0b36f9802fb6b3dfb18f2592

Observation 6fc8b0e2-3af5-4882-b55f-9c25c10421cd · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 109

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arxiv_id, observed 2026-05-13T12:01:42.468060Z

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=2026-05-13T12:01:42.290502Z digest=sha256:11458be4cad6350ccff37940405239a0590b60ce8d744dd0518b0071f8edef4b

Observation d87d5e20-dc23-4210-8692-6e73071328f4 · inbound

Hallucination is Inevitable: An Innate Limitation of Large Language Models cites this paper.

Hallucination is Inevitable: An Innate Limitation of Large Language Models Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:38:43.528852Z

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=pdf_text observed=2026-05-15T20:38:43.411206Z digest=sha256:3b6b5da8653bdaec999c3ec02450a68bb3763b2f5f0d3edc2603776ab395d6f7

Observation 64cc4dd0-86c4-4d57-933d-6f0c4ea9a38a · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:04:10.390725Z

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=2026-05-17T12:04:10.210508Z digest=sha256:0858107179d7a2b6f0530c80042cab797bfbc10756be2585634c74291837562a

Observation 3b9e2f7c-20bf-44cd-bdc2-e3099816f22c · inbound

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback cites this paper.

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:37.633780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:02:37.633780Z digest=sha256:a4af48c3a2fd923d1a3248d46659d85caa9d83276fe42822f754b00365788e1a

Observation 5c2b8162-082b-4bae-964d-fab8681bb7a7 · inbound

Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective cites this paper.

Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 10

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no resolver link, observed 2026-08-11T12:30:38.362480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:30:38.362480Z digest=sha256:a1ec4bda90c5d3de7a9cdb4e81806991b6b0ce3babf1fb6aca8a4c4b342b4bce

Observation b3aed9a6-5a73-4d0f-83ed-d4ab18aae8be · inbound

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI cites this paper.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 71

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no resolver link, observed 2026-08-11T20:13:07.366906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:13:07.366906Z digest=sha256:eae4b6e2fdb53e99f5d56739cef095a729eab5bde63af7ca954f1d6869a605a4

Observation e1594c2d-c8ba-4cca-a5fa-4678607c09c0 · inbound

Memory-Augmented Agent Training for Business Document Understanding cites this paper.

Memory-Augmented Agent Training for Business Document Understanding Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 26

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no resolver link, observed 2026-08-11T13:27:31.999362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:27:31.999362Z digest=sha256:0233bea84dbecf8b38698ffb07e1233f5b2cbb55af67aaba7d7fdaefffb16d24

Observation dee48d7f-177b-4679-86f9-edd10ce6ba03 · inbound

Formal Mathematical Reasoning: A New Frontier in AI cites this paper.

Formal Mathematical Reasoning: A New Frontier in AI Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 254

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no resolver link, observed 2026-08-11T10:51:30.619265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:51:30.619265Z digest=sha256:52fc457b83a1f488be2dd6f55417830445fa678d4ddc63bc32a396ce04e76a3d

Observation 243c53a8-78f9-4c0b-8576-fdfb4aab9b82 · inbound

Deliberative Alignment: Reasoning Enables Safer Language Models cites this paper.

Deliberative Alignment: Reasoning Enables Safer Language Models Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 30

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no resolver link, observed 2026-08-11T10:44:16.367248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:44:16.367248Z digest=sha256:612287f404dd3d0982fc7c95f06e7681b1944f586aeebce0a76094b7c96c8923

Observation f66e11fb-108e-46be-9854-c538a0777050 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 150

Resolution
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no resolver link, observed 2026-08-10T20:05:12.467203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:05:12.467203Z digest=sha256:af08e8eb56559e90d0bd18e4c8360d24e6f2dfb9a08ae648cf0937ead20cc50d

Observation af841166-ca5c-4638-8135-79f0c5faf276 · inbound

Few-shot Policy (de)composition in Conversational Question Answering cites this paper.

Few-shot Policy (de)composition in Conversational Question Answering Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T18:27:29.616190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:27:29.616190Z digest=sha256:95833e4d058a3372ae7f18f9d5aff75f797e5477f7ae0baa5d752747f7c0269b

Observation dedb540a-abd9-4678-9ec1-23e99d8e55a3 · inbound

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction cites this paper.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T14:33:23.285923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:33:23.285923Z digest=sha256:79057991136945dcdd8872eb5030f296d32861a6761574c2a62d37bfa597746e

Observation 1b3aec31-4a53-47c4-8994-35f580d01df6 · inbound

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs cites this paper.

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-09T14:03:44.536232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:03:44.536232Z digest=sha256:df29bb135cb02bcb91a1a19234db50f33067d2e378082ad8214d6edd8c388cc8

Observation bee699b0-7c50-48e0-bb42-c3c21d001b28 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.188622Z

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=2026-05-23T04:30:38.804702Z digest=sha256:10cce1c588b258469396017f058c627a2a600293dcb6a1f169cdc0c6ed853874

Observation c5c88854-acd9-40ec-a9d5-e218285a7c38 · inbound

Reflection-Window Decoding: Text Generation with Selective Refinement cites this paper.

Reflection-Window Decoding: Text Generation with Selective Refinement Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T04:13:44.346570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:13:44.346570Z digest=sha256:144b90cfb500ee9c3b467f8f0b666db6543328e0c0a37c8d44762800b81b9944

Observation 4045bb5e-1fa8-4628-a079-aaba7a2b878c · inbound

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling cites this paper.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:41:55.503652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.503652Z digest=sha256:d500fdf5e981a1d16435ac2d34ee268058c910ce5db22fe5398f7c9808272977

Observation 99a367de-52a3-47af-b71e-6c8ec38ae79c · inbound

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud cites this paper.

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.378495Z

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=pdf_text observed=2026-05-19T11:56:13.633039Z digest=sha256:494c1479f257362dfd0d5406a556c4b2bc4fdec673a26c9cd8e39a36f8b4a05d

Observation d8794b37-2891-4372-9247-1828c320de3f · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 18

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unresolved
no resolver link, observed 2026-08-07T10:19:34.523636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:34.523636Z digest=sha256:db5aaffffbe2dda77522c59115d2e956688dda7c4c80581d1e36a446cc9bfbb6

Observation d24441d2-b2f9-436a-a70c-23149583262a · inbound

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs cites this paper.

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 25

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no resolver link, observed 2026-08-07T11:07:06.892283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:07:06.892283Z digest=sha256:9c2fc31ca057e61f3112f12159add13726ebf83cefd3dfb751c51308b00e72be

Observation 606ae784-bb81-46d8-8a58-3aeaac6351dc · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:43.627879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:43.627879Z digest=sha256:79a5f3234c9e4b06aca4d9bb586fbe5bbd4ab1cf81e0d0975802188064a3b101

Observation 11769962-4521-4a78-a9fb-7147203d8028 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 41

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no resolver link, observed 2026-08-06T22:56:33.612212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:33.612212Z digest=sha256:1146fe8e4f150a214b3dc64d5d53723bd4565ba9f401f1e9e71a01fc170016d7

Observation f0c1941f-b0c7-43cf-a5eb-aaf9a42cae18 · inbound

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs cites this paper.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 8

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unresolved
no resolver link, observed 2026-08-06T19:23:38.076747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:38.076747Z digest=sha256:3ccee57c69c243223e877dd269970cb64ede68133cd1bdd3ce074a3a404963f9

Observation db370fa3-6b29-4136-8000-2223eadde347 · inbound

I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking cites this paper.

I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 25

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no resolver link, observed 2026-08-06T05:11:13.127158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:11:13.127158Z digest=sha256:6785283c66b843e2bdd0aa742957ec6d1ac906e7f2de7891f0555c52ebd87e8b

Observation 5639d9a1-b61f-4846-b562-b60c055402f8 · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 39

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no resolver link, observed 2026-08-05T23:32:55.104882Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.104882Z digest=sha256:8fb1fe2532ba86cc8e9664ae90d65300ab83bb8778e0a9fa0d133d7355c45e16

Observation 3964a35f-6b4a-4fb3-943d-160c50b55dc2 · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 9

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verified exact
arxiv_id, observed 2026-05-18T15:26:33.810027Z

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=pdf_text observed=2026-05-18T15:23:13.318310Z digest=sha256:6bd9a367fd2b6e98ce438e484151447b2347f33bed7d912a114e07e1a4e5988b

Observation 1c56fa38-68ea-41ac-b96b-2f6056d99db0 · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 9

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verified exact
arxiv_id, observed 2026-05-21T21:30:39.430821Z

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=pdf_text observed=2026-05-21T21:28:59.898029Z digest=sha256:ca799d67143870717ca8ebae519c97878f4b8f5afe7de9515f54dca0c2cc5d48

Observation 91d0b220-781b-4192-be11-eae8687ed036 · inbound

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match cites this paper.

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 17

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verified exact
arxiv_id, observed 2026-05-17T05:09:03.804396Z

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=pdf_text observed=2026-05-17T05:07:11.466066Z digest=sha256:a3fab15814a007a32095d3d90eaf57a0c67b17327a2951cceeb14408dda622a5

Observation 7561ec04-0304-4572-abda-532ae36087f7 · inbound

A Minimal Agent for Automated Theorem Proving cites this paper.

A Minimal Agent for Automated Theorem Proving Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 50

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arxiv_id, observed 2026-05-15T18:46:29.414862Z

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=pdf_text observed=2026-05-15T18:44:35.600033Z digest=sha256:4f46c5ae1d9f27b5e92eb532e7e2701227f24c7495e11536eead907019c61e93

Observation 8655831f-b867-4de2-88d0-e48a429101f9 · inbound

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving cites this paper.

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 20

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verified exact
arxiv_id, observed 2026-05-13T23:28:26.141348Z

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=pdf_text observed=2026-05-13T23:27:31.054348Z digest=sha256:247aab15a9e9a9ef5715c7d8725a6c66c940b34a4012f5dab55a14d8979de567

Observation a4d9458a-97c6-4d29-bd75-2f2e36bfc06d · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 44

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verified exact
arxiv_id, observed 2026-05-15T14:35:55.954373Z

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=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:ada97c38e4c9350c07bc09d621a060d5c83fad1a43e71c8a82151ba4cf2ae0f5

Observation 4a4039d2-a471-4c14-8c62-2d3ace457658 · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 41

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no resolver link, observed 2026-08-02T18:43:47.029496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:43:47.029496Z digest=sha256:379c643eb4bb4b16c5770d62946f4b9bb4ffba60c690cc4679c683efb7fbeb4c

Observation 3356c67f-f614-4eb3-99cf-0cb8c489cecd · inbound

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models cites this paper.

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:30:50.515615Z

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=pdf_text observed=2026-05-10T19:06:45.417233Z digest=sha256:31eb992d97dea92a4f24327ee57bb212980388427b15368b646478e21f92f3ec

Observation b3b3206d-5085-4b14-8939-cdaa56a4ebec · inbound

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning cites this paper.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:35:42.806735Z

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=pdf_text observed=2026-05-10T18:32:31.955785Z digest=sha256:cdbf1903b2407220a3a312f97acd0332585839a0bbdccf29b984a032c8cc1d0a

Observation bad0c119-3af0-48d2-a578-80c427c88f92 · inbound

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates cites this paper.

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.823542Z

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=pdf_text observed=2026-05-08T19:17:06.375875Z digest=sha256:61c171424bb6525e7c72f3fa71b12eacda3cfb03469ff48952f083af60b0b084

Observation fbef7ada-2266-4caa-b08a-3ea3e51b71ba · inbound

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection cites this paper.

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:54:45.843729Z

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=pdf_text observed=2026-05-22T08:52:34.079804Z digest=sha256:729bfe0b5e251ace1805002caafd404e98fd5ee3d6ea5c503bd9bdb3a5ef3106

Observation 1dee4b02-bb25-4beb-bd52-1e71191f9a70 · inbound

AutoBG: A Board Game Design Assistant with Interactive Ideation, Iterative Rulebook Generation, and Individualized Feedback cites this paper.

AutoBG: A Board Game Design Assistant with Interactive Ideation, Iterative Rulebook Generation, and Individualized Feedback Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:56:25.328536Z

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=pdf_text observed=2026-06-28T13:02:12.843333Z digest=sha256:a005af0b27ab3373fddd78de5ab86ae75fff281c866e8dd2f0dc71f8f3ec83b1

Observation 0e0358d7-5e53-4586-829d-ca4d2a5fe439 · inbound

AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes cites this paper.

AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:46:20.165636Z

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=2026-06-28T15:00:41.632699Z digest=sha256:76f6fb6ea89ec1bf1cd9eb3b20ef75b59459b2de8a5edb7ba8e2fdb59fe33cd1

Observation 227b9735-d01f-4cf5-bf27-1befd718f264 · inbound

Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation cites this paper.

Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.428448Z

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=pdf_text observed=2026-06-28T06:33:11.701246Z digest=sha256:811ae9ceb15ca2bec63feef2a2faf284d9fe6f8136f11dfd14c9a6294375e737

Observation 332e74cd-4d56-4bec-8e0d-c6e37dff2261 · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:07:23.504645Z

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=2026-06-27T19:58:32.016341Z digest=sha256:9cd3e6e4cb727b4a2e8d8cb1fca56cb3843afdee79d1693bb7ee486b8add31ea

Observation 3ce35975-162e-43eb-8c37-363a1b129643 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:28.958640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:28.958640Z digest=sha256:2812edf47a339289fd32d00b2bdcdd3334b95512723caedb600372962c1ddf5e

Observation 9977bb41-e3e5-41e0-b499-5f5ad2ac4b70 · inbound

Internal-State Probes Read the Situation, Not the Action: Three Negative Results for Pre-Action Misalignment Monitoring cites this paper.

Internal-State Probes Read the Situation, Not the Action: Three Negative Results for Pre-Action Misalignment Monitoring Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:44:22.051505Z

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=2026-06-30T07:37:47.420986Z digest=sha256:38b43b840f6b0a071abc142dc4607a3c3f9b947da54490de2c105873962cfa80

Observation b2f999d3-42bb-4e1a-a0b7-4a9d040b6649 · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 298

Resolution
unresolved
no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T13:53:36.775836Z digest=sha256:4040ac54df1a1227885cf643e474efed262fdd289a03bd80821dcbe03cb44ac6

Observation e66562f5-b880-46ec-80c7-c52b9a630845 · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 299

Resolution
unresolved
no resolver link, observed 2026-08-02T08:41:07.438368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:41:07.438368Z digest=sha256:06665d16a0c07f70e9061e5d3fab7bde4faeb57ea89f65ef1321c2f1740855eb

Observation e314b662-31d7-4a38-a75c-a073647df59d · inbound

ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding cites this paper.

ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T16:48:36.301102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:48:36.301102Z digest=sha256:7b882453f34fb9d7f3ebc549aa6c17a671289eee39d8d9ae0d0f5cdd18d59c1f

Observation b247f5d4-ff8f-45e0-a3f7-d2e6eb77ec96 · inbound

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks cites this paper.

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-30T20:27:56.628437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:27:56.628437Z digest=sha256:c3ad13ac508a91b7564a7be9e56cd5a90d9b0d8dbef1b89934797b4ab9fcc15f

Observation a4b5a7aa-d57b-4106-a20d-5bb45429e10c · inbound

CogEEGAgent: Toward Autonomous Cognitive EEG Analysis with Grounded Execution and Selection-Aware Verification cites this paper.

CogEEGAgent: Toward Autonomous Cognitive EEG Analysis with Grounded Execution and Selection-Aware Verification Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T02:42:29.771687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T02:42:29.771687Z digest=sha256:2ee71aaa0785f48621cfbe5583896edf466212c1b18dcf0a4f2cd9b657111d3f