Paper Citation Record · LEDGER

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

As of 22 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 inbound Pith citation observations for arXiv:2507.02778.

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

pith.paper-citation-record.v1
2507.02778 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:03.805548Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T21:20:00.041277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.386085Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy15
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19a388be-1abf-4a33-ba82-7b35e40fd82f · outbound

This paper cites GPT-4 Technical Report.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:55.823384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f0cd9a-0b1b-408e-8072-9d94b04998e2 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku, Mar 2024.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models The claude 3 model family: Opus, sonnet, haiku, Mar 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:08.781161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50bbfc04-ce8c-4b4b-b5b0-3fff3e8b3f5a · outbound

This paper cites Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities., June 2025.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities., June 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:08.531479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae1989c8-73a6-49a0-8fc4-2d16699ff84d · outbound

This paper cites Qwen3 Technical Report.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Qwen3 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:56.227672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586457e5-ab3b-4b4a-9464-8e20506298a9 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, Apr 2025.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, Apr 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:08.248924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 91ab01f4-557c-433b-b672-94dbef010bc0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:56.531856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f38e80ac-bd0f-42de-b022-b8b7c6500e47 · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models On faithfulness and factuality in abstractive summarization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:56.646944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77338fbe-e90f-4bc5-bba8-76b029fc8ea4 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:56.783467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098af2f9-edf9-49c1-a735-ebf863240b3d · outbound

This paper cites Do, Yan Xu, and Pascale Fung.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Do, Yan Xu, and Pascale Fung

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:56.946027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa6fbd6-6cbc-4f13-b88a-1bcb810818e9 · outbound

This paper cites Large language models can be easily distracted by irrelevant context.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Large language models can be easily distracted by irrelevant context

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:57.071428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87bcd25-bf69-48cd-b7fa-c14ce7548102 · outbound

This paper cites Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:57.217863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae702c4-d4da-4075-8c5e-a0238f612dfe · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Reflexion: language agents with verbal reinforcement learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:08.005937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1cecc2d2-7db8-48a5-94cf-cff9ceed325b · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Self-refine: Iterative refinement with self-feedback

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:57.429687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0952229d-8e2e-4192-9c73-59e1a4b6dcff · outbound

This paper cites Language models can solve computer tasks.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Language models can solve computer tasks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:07.724534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee98ddf2-8acf-4313-9d25-4c6955fe54ee · outbound

This paper cites When can LLM s actually correct their own mistakes? a critical survey of self-correction of LLM s.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models When can LLM s actually correct their own mistakes? a critical survey of self-correction of LLM s

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:57.717223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb640df-e27c-4882-80c9-919eeba976dc · outbound

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

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Large Language Models Cannot Self-Correct Reasoning Yet

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:57.838761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8923266a-b790-4707-a354-bce566c6368d · outbound

This paper cites LLM s cannot find reasoning errors, but can correct them given the error location.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models LLM s cannot find reasoning errors, but can correct them given the error location

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:57.998432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5bf506-a601-41b5-a800-544053498431 · outbound

This paper cites Evaluating LLM s at detecting errors in LLM responses.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Evaluating LLM s at detecting errors in LLM responses

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:07.454677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f1f55b3-3870-468a-9f67-1af9ce35a562 · outbound

This paper cites Training language models to self-correct via reinforcement learning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Training language models to self-correct via reinforcement learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:07.214068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation efddf2d7-1f69-4927-bb0a-f4f3896e609c · outbound

This paper cites Jailbroken: how does llm safety training fail? In Proceedings of the 37th International Conference on Neural Information Processing Systems, NIPS '23, Red Hook, NY, USA, 2023.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Jailbroken: how does llm safety training fail? In Proceedings of the 37th International Conference on Neural Information Processing Systems, NIPS '23, Red Hook, NY, USA, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:06.943034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 553309ad-0b0f-4417-b8b1-f864b3625a67 · outbound

This paper cites Formalizing and benchmarking prompt injection attacks and defenses.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Formalizing and benchmarking prompt injection attacks and defenses

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:06.592654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7caeb070-8c3f-4b21-a32e-ab3575a5ea7d · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:58.704896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aced9d1-1d08-48f8-87f4-1e5b8e6a1a5b · outbound

This paper cites an unresolved cited work.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:06.302848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e96adf5-08a3-472a-8d93-9315cfd851d5 · outbound

This paper cites Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:59.074923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61249e0-c3ef-455b-b871-6c8f7c79c70c · outbound

This paper cites s1: Simple test-time scaling.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models s1: Simple test-time scaling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:59.270560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0954cbd-2c14-4b6b-8801-899f2a583ed1 · outbound

This paper cites Benchmarking cognitive biases in large language models as evaluators.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Benchmarking cognitive biases in large language models as evaluators

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:59.400211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c11968-cc45-47a7-b086-2d93729aa853 · outbound

This paper cites Cognitive bias in decision-making with LLM s.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Cognitive bias in decision-making with LLM s

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:59.570749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc521204-141d-47ff-be90-5f34ec347f6e · outbound

This paper cites Capturing failures of large language models via human cognitive biases.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Capturing failures of large language models via human cognitive biases

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:06.008527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42e7bac0-e04d-4130-8fc7-375e883a226c · outbound

This paper cites Lin, and Lee Ross.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Lin, and Lee Ross

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:59.906202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c893750-911c-4989-a3ab-7264afd41c4f · outbound

This paper cites ProcessBench: Identifying Process Errors in Mathematical Reasoning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models ProcessBench: Identifying Process Errors in Mathematical Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.072960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af15ffc1-4b55-4d7b-893f-55462028cbe3 · outbound

This paper cites PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.154021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 242c2d42-a346-4983-a5f9-e9fb052d06a4 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.206673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a682beb-9d8b-4ffc-8185-1c377d0db050 · outbound

This paper cites Introducing gpt-4.1 in the api, Apr 2025.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Introducing gpt-4.1 in the api, Apr 2025

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:05.741704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 547769ab-98dd-42f4-8e5d-f44fecc985c4 · outbound

This paper cites Let's verify step by step.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Let's verify step by step

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.355018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdac7ea2-3ff3-405a-9392-f1aa43da387b · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Measuring mathematical problem solving with the MATH dataset

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.438344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a30e71-b262-458f-8efa-c396237e35b6 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Transformers: State-of-the-art natural language processing

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.521903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98372d2d-19f9-45e5-8238-be050bbd90ed · outbound

This paper cites DeepSeek-V3 Technical Report.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models DeepSeek-V3 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.633907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e52510a-4855-4949-9e1d-a50fd817f0f4 · outbound

This paper cites Qwen2.5 Technical Report.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Qwen2.5 Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.711530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b12f90-c1f5-4320-988b-69bde06197c9 · outbound

This paper cites Llama 3.3, Dec 2024.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Llama 3.3, Dec 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:05.454473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 070d8f16-3cc9-4caa-ba86-afcde95ccfc4 · outbound

This paper cites Phi-4 Technical Report.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Phi-4 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:00.903257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8898eac-0793-4381-a9b0-2df54c6e3a79 · outbound

This paper cites Qwen2 Technical Report.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Qwen2 Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:01.073515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598889cd-4a56-43db-8cd4-7e4e3b4c55bc · outbound

This paper cites The Llama 3 Herd of Models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models The Llama 3 Herd of Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:01.235737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5dc13c-19b8-4c72-8e21-1ba13f577e88 · outbound

This paper cites Mistral small 3, Jan 2025.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Mistral small 3, Jan 2025

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:05.122636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 91a1453a-6c9b-4155-aebf-55fa2131cd9f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:01.501958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a78e84b-9451-4307-9a7a-d78784925c50 · outbound

This paper cites Impact of pretraining term frequencies on few-shot numerical reasoning.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Impact of pretraining term frequencies on few-shot numerical reasoning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:01.660462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8943ef9-1315-4cd0-8398-f439535fbb8e · outbound

This paper cites Smith, Sarah Wiegreffe, and Yanai Elazar.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Smith, Sarah Wiegreffe, and Yanai Elazar

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:04.782194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5ca97be-2dab-4115-a7b7-171ee449086e · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R \.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models o pf, Yannic Kilcher, Dimitri von R \

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:01.991836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9472acb6-eb08-412e-a62b-0d21af73a4f9 · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.140460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c317eade-a7e4-48ad-8654-5687149260d8 · outbound

This paper cites Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.244807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ed6acb-e56a-49e0-8e0a-49c8c23c40b5 · outbound

This paper cites Ultrafeedback: Boosting language models with high-quality feedback, 2024.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Ultrafeedback: Boosting language models with high-quality feedback, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:04.501080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d42f5cd2-00f6-4eeb-98c0-831a16acdeb7 · outbound

This paper cites Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Christopher Wilhelm, Luca Soldaini, Noah A.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Christopher Wilhelm, Luca Soldaini, Noah A

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.487929Z

Source-reported events for the cited work

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Observation fa7a74bf-6fcc-4198-83eb-b128ade148e9 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.599732Z

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Observation fab9b386-0834-49e7-9db5-dc727f9131ea · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models OpenThoughts: Data Recipes for Reasoning Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.783626Z

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Observation 432e34ca-6d12-4311-9df2-c0977733d550 · outbound

This paper cites Training language models to follow instructions with human feedback.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Training language models to follow instructions with human feedback

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:02.938680Z

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This paper cites Learning From Mistakes Makes LLM Better Reasoner.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Learning From Mistakes Makes LLM Better Reasoner

Reference 55

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Observation f256587f-fd18-4918-be5b-1e797c5c666e · outbound

This paper cites Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:03.216236Z

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Observation 4eb03d92-b6a5-4658-90b2-9dd56e085279 · outbound

This paper cites The effect of sampling temperature on problem solving in large language models.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models The effect of sampling temperature on problem solving in large language models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:03.409054Z

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Observation d70d4393-6219-408a-8892-8d96da99a79c · outbound

This paper cites @esa (Ref.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models @esa (Ref

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:03.530733Z

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Observation a4614c9e-01f7-4332-adb6-eec84c16fca5 · outbound

This paper cites an unresolved cited work.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:03.675873Z

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Observation e8dda0b1-32fe-40b6-bebf-104c5fd66015 · outbound

This paper cites after incorrect reasoning or answer to prompt LLMs to self-correct, without finetuning. We observe significant reductions in the blind spot after appending ``Wait.

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models after incorrect reasoning or answer to prompt LLMs to self-correct, without finetuning. We observe significant reductions in the blind spot after appending ``Wait

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:03.805548Z

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Pith citing papers

Observation 3547e909-d01a-42bc-8fbe-10036c058fef · inbound

ReFlect: An Effective Harness System for Complex Long-Horizon LLM Reasoning cites this paper.

ReFlect: An Effective Harness System for Complex Long-Horizon LLM Reasoning Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T02:29:36.375484Z

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Observation 96d7ffc6-6dae-45a3-989d-37e0f37d0836 · inbound

ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection cites this paper.

ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:29:36.375484Z

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Observation 3a91d3a0-6f38-4726-acc8-06b923d8d159 · inbound

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning cites this paper.

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:29:36.375484Z

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Observation eaa9921f-da88-4f3c-9369-e2f5a7f177a6 · inbound

ESC: Emotional Self-Correction for Reliable Vision-Language Models cites this paper.

ESC: Emotional Self-Correction for Reliable Vision-Language Models Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T02:29:36.375484Z

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