A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation | Paper Citation Record

Observation 3136accc-1009-4935-8a90-0d000218a97b · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:21:00.990074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fdde8df5-7a3c-4133-ac82-faccc90ba7f2 · inbound

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

Chain-of-Verification Reduces Hallucination in Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:06:50.493171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c4ad1b5-fc5f-4e75-87aa-f1ddd654bc78 · inbound

Capabilities of Gemini Models in Medicine cites this paper.

Capabilities of Gemini Models in Medicine A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 273

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:13:22.983347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 503a75f1-a22e-4e28-84ed-6f9055076d36 · inbound

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs cites this paper.

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 75

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T00:52:02.585126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88751f27-914b-45a6-b844-8e0593ccc66e · inbound

Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis cites this paper.

Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 2499

Resolution: unresolved; no resolver link, observed 2026-08-08T15:56:19.292160Z

Source-reported events for the cited work

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Observation d0023a21-8acd-47d3-b166-c19564f096e2 · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:19.716465Z

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Observation 4d097906-9770-4947-ace2-7f27f0df66dd · inbound

BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration cites this paper.

BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:11.325010Z

Source-reported events for the cited work

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Observation 8039a8ae-697e-4f25-a377-2c03fda0398e · inbound

Paying Alignment Tax with Contrastive Learning cites this paper.

Paying Alignment Tax with Contrastive Learning A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:39.991654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26768f06-daa1-4702-855e-285954bf1842 · inbound

Maximizing Confidence Alone Improves Reasoning cites this paper.

Maximizing Confidence Alone Improves Reasoning A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:07:50.421957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c76f4cd-e27e-4b94-9efa-e569534d6627 · inbound

The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation cites this paper.

The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:05:59.420504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f2a9ca-d877-4bb2-9f0d-ad3a747c8606 · inbound

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination cites this paper.

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:58.782316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e99e11f-e55e-4aa3-80d5-5f162e0ee8da · inbound

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks cites this paper.

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:52:14.126420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c8b3cf1-83f8-46c8-936f-37a1df93c09f · inbound

The Curious Case of Factuality Finetuning: Models' Internal Beliefs Can Improve Factuality cites this paper.

The Curious Case of Factuality Finetuning: Models' Internal Beliefs Can Improve Factuality A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T18:26:31.820584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0fa3d59-48b9-45e2-8276-fd43553d7299 · inbound

Enhancing Hallucination Detection via Future Context cites this paper.

Enhancing Hallucination Detection via Future Context A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:00.880436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15ac6a5b-4793-4018-9382-52aee1ada4ae · inbound

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them cites this paper.

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T13:06:38.977744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb7fdcf-3c82-44ad-9f36-56cb3c3aa7b0 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:28.090926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26ba593d-1d6b-45c3-bde5-cbd3c8ec7b45 · inbound

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models cites this paper.

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:23:59.978259Z

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Unavailable: canonical work link unavailable.

Observation 503d8abf-1ff6-4d2e-adbd-31001499512a · inbound

Principled Detection of Hallucinations in Large Language Models via Multiple Testing cites this paper.

Principled Detection of Hallucinations in Large Language Models via Multiple Testing A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T20:46:51.581949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bdb081b2-a8b9-4f93-beff-4bb1f9ccb2f1 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:55.102117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dde900f-37ac-4974-952f-e7eefb06b8d7 · inbound

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain cites this paper.

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T11:49:37.219681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbffc528-460e-49f1-a165-bee835351af4 · inbound

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

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:33.412508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90612cb0-acac-4a68-aa36-b0018849d569 · inbound

Neural Message-Passing on Attention Graphs for Hallucination Detection cites this paper.

Neural Message-Passing on Attention Graphs for Hallucination Detection A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:12.628427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbadf06a-0d02-4769-9d21-68a0e55def89 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T12:42:37.546861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1541f4b-8b50-490a-aea9-4e4a706b1ce4 · inbound

Geometry-Aware Hallucination Detection in Large Language Models cites this paper.

Geometry-Aware Hallucination Detection in Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-03T12:00:44.373700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c56ae05-286a-476f-a8e9-d9f8cde308a5 · inbound

When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation cites this paper.

When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T00:03:24.512527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6a15ae-07e4-4c1a-acb0-6a4def1411cd · inbound

How do LLMs Compute Verbal Confidence cites this paper.

How do LLMs Compute Verbal Confidence A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:40:00.596553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75f22631-9d15-4400-91c9-705cfcd9820d · inbound

Steering the Verifiability of Multimodal AI Hallucinations cites this paper.

Steering the Verifiability of Multimodal AI Hallucinations A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.415989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf5b1655-afab-417b-88e9-f3c814500768 · inbound

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection cites this paper.

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:00.398146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cbbd4851-4bc5-4a2d-b883-4470c0f57cb1 · inbound

Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing cites this paper.

Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T09:15:21.031641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 998207db-d550-4457-999a-9bf0908c13c4 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:45.702491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb20e278-2e3d-4281-b1a5-998769a455e8 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:50:27.955410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a094346-2d62-407a-995a-d9c82c24ef86 · inbound

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models cites this paper.

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:16:07.104867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1423ca8-adb9-45d0-b37e-7d27623fd289 · inbound

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models cites this paper.

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:53:59.424783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec010260-7b0d-4fcc-9e9e-7a1b32e3dc53 · inbound

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing cites this paper.

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:38.674467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93b6662b-f75c-4b8d-a1db-a24c18bc1416 · inbound

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models cites this paper.

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.660703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e0013bf-96a0-4e90-8ca1-9b710b9a6c9c · inbound

DrugClaw and DrugAudit: A Primary-Source-Grounded Agent and Authority-Aware Benchmark for Drug-Information Question Answering cites this paper.

DrugClaw and DrugAudit: A Primary-Source-Grounded Agent and Authority-Aware Benchmark for Drug-Information Question Answering A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:26:16.457116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 515fe6ff-9a46-488b-b9c0-be6b3c3b557a · inbound

Hybrid Adversarial Defence for Natural Language Understanding Tasks cites this paper.

Hybrid Adversarial Defence for Natural Language Understanding Tasks A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:26:46.315169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 108acd16-8319-4554-b64f-411988fedf30 · inbound

AB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering cites this paper.

AB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T09:24:32.919044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 108fd41d-c83b-47b2-99a0-9315a2a9306d · inbound

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models cites this paper.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T05:52:43.452222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f4a2c9-2987-45b3-ab40-b057bedd3de6 · inbound

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models cites this paper.

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-31T23:32:10.117439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a26c0b-3a94-46f1-b3bf-48695681c16f · inbound

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems cites this paper.

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-30T19:40:15.143054Z

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Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers