OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios | Paper Citation Record

Observation 12ef64a5-8cd3-4098-9630-d020e43a3524 · outbound

This paper cites A survey of large language models, 2026.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios A survey of large language models, 2026

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Observation ae569641-29f8-48aa-92fc-b0974b8299d9 · outbound

This paper cites Enhancing Hallucination Detection through Noise Injection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Enhancing Hallucination Detection through Noise Injection

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:57:15.336979Z

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Observation 0768c8de-16cf-4d6f-98e7-9ad885692c69 · outbound

This paper cites Steer LLM latents for hallucination detection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Steer LLM latents for hallucination detection

Reference 3

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Observation 28a463ae-fc3d-4f21-beaa-e1b1fb37770f · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.ACL, 2017.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.ACL, 2017

Reference 4

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Observation 0ad61245-1ac0-4264-8e51-f0e4f1915a70 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.ACL, 2022.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Truthfulqa: Measuring how models mimic human falsehoods.ACL, 2022

Reference 5

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Observation 0e610ddc-5ad7-498e-a2da-65a882d8d814 · outbound

This paper cites don’t forget the teachers.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios don’t forget the teachers

Reference 6

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Observation 762b1606-dac0-46ac-aebe-5c54c919de24 · outbound

This paper cites The clinicians’ guide to large language models: A general perspective with a focus on hallucinations.Interactive Journal of Medical Research, 14:e59823, 2025.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios The clinicians’ guide to large language models: A general perspective with a focus on hallucinations.Interactive Journal of Medical Research, 14:e59823, 2025

Reference 7

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Observation cbc2342e-44d4-493e-87f6-691b48ca4d93 · outbound

This paper cites Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:57:15.331643Z

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Observation 27589b21-22f3-4743-b115-18e3018cd67a · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios On faithfulness and factuality in abstractive summarization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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This paper cites an unresolved cited work.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 10

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Observation 4d8e3d82-5386-4d92-802a-ce04646000ce · outbound

This paper cites Llms will always hallucinate, and we need to live with this.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Llms will always hallucinate, and we need to live with this

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation 90e6ba6b-4e22-474d-bd28-78c8d5667152 · outbound

This paper cites Why Language Models Hallucinate.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Why Language Models Hallucinate

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:57:15.349053Z

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Observation 4f82083c-d2a3-495c-b3fc-5abb37b2d394 · outbound

This paper cites an unresolved cited work.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 13

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Observation 59324628-e51a-4aa6-a2ab-b799f6685579 · outbound

This paper cites On the limits of language generation: Trade-offs between hallucination and mode-collapse.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios On the limits of language generation: Trade-offs between hallucination and mode-collapse

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation aebe6ada-de61-4f7d-9d4a-02c01bb56323 · outbound

This paper cites Out-of-Distribution Detection and Selective Generation for Conditional Language Models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 15

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Observation 487a8628-a48b-4e63-9a6c-ed5bb161a06c · outbound

This paper cites Halueval: A large-scale hallucination evaluation benchmark for large language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Halueval: A large-scale hallucination evaluation benchmark for large language models

Reference 16

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Observation ca9ca650-5dbe-4366-81ea-1a31069124a0 · outbound

This paper cites SelfcheckGPT: Zero-resource black-box hallucination detection for generative large language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios SelfcheckGPT: Zero-resource black-box hallucination detection for generative large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation 80ffcf4a-4bc5-4126-9cfb-24ae5eaab96e · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630:625 – 630, 2024.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Detecting hallucinations in large language models using semantic entropy.Nature, 630:625 – 630, 2024

Reference 18

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Observation 4da72157-038e-4a07-81eb-52c149a08869 · outbound

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

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Trans

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation b86e3a0e-7ff0-4755-8b31-861c01757a2a · outbound

This paper cites Siren’s song in the AI ocean: A survey on hallucination in large language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Siren’s song in the AI ocean: A survey on hallucination in large language models

Reference 20

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Observation 2c83b097-c7f4-4e52-9e4a-7ecb9a50562c · outbound

This paper cites Lin, Jacob Hilton, and Owain Evans.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Lin, Jacob Hilton, and Owain Evans

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation eb5ed7d9-7a7c-4227-ba1a-1d68e2c75352 · outbound

This paper cites Generating with confidence: Uncertainty quan- tification for black-box large language models.Transactions on Machine Learning Research, 2024.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Generating with confidence: Uncertainty quan- tification for black-box large language models.Transactions on Machine Learning Research, 2024

Reference 22

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Observation c434c7ca-fdb3-4549-bd07-ac41fb781a4b · outbound

This paper cites Out-of-distribution detection and selective generation for conditional language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Out-of-distribution detection and selective generation for conditional language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation 09a97ce3-6ba3-4152-af13-d48becd51d0f · outbound

This paper cites Uncertainty estimation in autoregressive structured prediction.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Uncertainty estimation in autoregressive structured prediction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation 4e02302a-9c5d-4fce-ab4c-4d8f34680236 · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models

Reference 25

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Observation 712823a5-b9fc-4364-8915-879a4b0fe4e8 · outbound

This paper cites INSIDE: LLMs’ internal states retain the power of hallucination detection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios INSIDE: LLMs’ internal states retain the power of hallucination detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation 65871b73-c798-4c4c-8123-d9285b9c4b56 · outbound

This paper cites Discovering latent knowledge in language models without supervision.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Discovering latent knowledge in language models without supervision

Reference 27

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Observation 38dbcfc7-42d6-482d-a017-6cd4a6b4694b · outbound

This paper cites The internal state of an LLM knows when it’s lying.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios The internal state of an LLM knows when it’s lying

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Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation e9f9f690-79b0-4913-8ddc-6a3e47c41999 · outbound

This paper cites Mitigating LLM Hallucinations via Conformal Abstention.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Mitigating LLM Hallucinations via Conformal Abstention

Reference 29

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Observation 73223825-80cf-4629-9b56-8d404c32bf96 · outbound

This paper cites A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation.npj Digital Medicine, 8(1):274, 2025.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation.npj Digital Medicine, 8(1):274, 2025

Reference 30

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Observation 75f553c5-6613-42d3-9f34-79d3abf88a3a · outbound

This paper cites RedeEP: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios RedeEP: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability

Reference 31

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Observation de685675-23b3-4e20-9e8f-3a55dbc43165 · outbound

This paper cites Spectral guardrails for agents in the wild: Detecting tool use hallucinations via attention topology.arXiv preprint arXiv:2602.08082, 2026.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Spectral guardrails for agents in the wild: Detecting tool use hallucinations via attention topology.arXiv preprint arXiv:2602.08082, 2026

Reference 32

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Observation 04a7f3a5-72d1-42a5-89cf-291c1ca7f88d · outbound

This paper cites The illusion of progress: Re-evaluating hallucination detection in llms.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios The illusion of progress: Re-evaluating hallucination detection in llms

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Observation 61ca33cd-fdc7-4bca-9997-1b046b1e0720 · outbound

This paper cites HalluLens: LLM hallucination benchmark.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios HalluLens: LLM hallucination benchmark

Reference 34

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Observation dfc11c2d-7961-42a6-8f4d-49d85d66385c · outbound

This paper cites Hallumix: A task-agnostic, multi-domain benchmark for real-world hallucination detection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Hallumix: A task-agnostic, multi-domain benchmark for real-world hallucination detection

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Observation 694577d0-c3ed-4591-8943-5e90ea46e41d · outbound

This paper cites ICR probe: Tracking hidden state dynamics for reliable hallucination detection in LLMs.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios ICR probe: Tracking hidden state dynamics for reliable hallucination detection in LLMs

Reference 36

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Observation ab6f41d8-1648-4f5a-bf28-d55df6c52ffd · outbound

This paper cites Evaluating evaluation metrics — the mirage of hallucination detection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Evaluating evaluation metrics — the mirage of hallucination detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation bcc13de4-7382-4789-9a16-4a84be4e470c · outbound

This paper cites HalluCounter: Reference-free LLM hallucination detection in the wild! In Kentaro Inui, Sakriani Sakti, Haofen Wang, Derek F.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios HalluCounter: Reference-free LLM hallucination detection in the wild! In Kentaro Inui, Sakriani Sakti, Haofen Wang, Derek F

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

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Observation 92e914dd-c86a-4d55-95c6-05c565682808 · outbound

This paper cites Haloscope: Harnessing unlabeled LLM generations for hallucination detection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Haloscope: Harnessing unlabeled LLM generations for hallucination detection

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Observation 7e049d3b-6fcc-4143-b84b-00c576056d55 · outbound

This paper cites Beyond in-domain detection: Spikescore for cross-domain hallucination detection.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Beyond in-domain detection: Spikescore for cross-domain hallucination detection

Reference 40

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Observation fc985e14-673c-4522-9984-7aac7c98a203 · outbound

This paper cites Halluentity: Benchmarking and understanding entity-level hallucination detection.Transactions on Machine Learning Research, 2025.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Halluentity: Benchmarking and understanding entity-level hallucination detection.Transactions on Machine Learning Research, 2025

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Observation e574ae69-ba07-406f-8f14-aef206cff43b · outbound

This paper cites FActscore: Fine-grained atomic evaluation of factual precision in long form text generation.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios FActscore: Fine-grained atomic evaluation of factual precision in long form text generation

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Observation f59cd2c7-49ed-4dcf-a8a5-b44d043e0cd6 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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Resolution: verified exact; local_arxiv, observed 2026-07-02T17:57:15.346352Z

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Observation ab38d65a-3c1d-411c-9604-07b331761a3e · outbound

This paper cites CommonsenseQA: A question answering challenge targeting commonsense knowledge.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios CommonsenseQA: A question answering challenge targeting commonsense knowledge

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Observation 8995dfe4-0795-4d72-8a87-e73ede5b0f4a · outbound

This paper cites Know what you don’t know: Unanswerable questions for SQuAD.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Know what you don’t know: Unanswerable questions for SQuAD

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OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 46

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Observation 1fbddeb3-ed2a-4425-bcbc-0393bf027db5 · outbound

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OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 47

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Observation 377d4da5-8b7d-4e50-ac78-aa9d7175ce7f · outbound

This paper cites RAGTruth: A hallucination corpus for developing trustworthy retrieval- augmented language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios RAGTruth: A hallucination corpus for developing trustworthy retrieval- augmented language models

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Observation 7ae2b247-79cb-4dad-b3e2-537b48256c3f · outbound

This paper cites Cohen, and Mirella Lapata.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Cohen, and Mirella Lapata

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Observation d79f4e3b-3426-46c2-a0f3-71490658413e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Training Verifiers to Solve Math Word Problems

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:57:15.323643Z

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Observation 3788e0a9-4c4b-4a7c-bcfd-2cb910fac57d · outbound

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OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 51

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OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 52

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Observation aba88819-8336-4d4d-bd7e-2cb0064bd9d7 · outbound

This paper cites TheoremQA: A theorem-driven question answering dataset.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios TheoremQA: A theorem-driven question answering dataset

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This paper cites Evaluating Large Language Models Trained on Code.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Evaluating Large Language Models Trained on Code

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Observation 32573af4-6ef0-422d-9113-a9304ea9ad29 · outbound

This paper cites Cai, Michael Terry, Quoc V.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Cai, Michael Terry, Quoc V

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Observation 9532453b-e632-4281-bfe4-a08b68257ab6 · outbound

This paper cites xLAM: A family of large action models to empower 13 AI agent systems.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios xLAM: A family of large action models to empower 13 AI agent systems

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9b34ec-5dfa-4b1e-9aae-9401300456ae · outbound

This paper cites The belebele benchmark: a parallel reading comprehension dataset in 122 language variants.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios The belebele benchmark: a parallel reading comprehension dataset in 122 language variants

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4635a291-f871-4801-8f8d-2352aa3714ae · outbound

This paper cites Wong, and Rui Wang.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Wong, and Rui Wang

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7309c510-6b02-4892-9795-7a4570def759 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Xing, Hao Zhang, Joseph E

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24bf2e3e-e3a0-4f08-ab88-0552481fb536 · outbound

This paper cites Language Models (Mostly) Know What They Know.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Language Models (Mostly) Know What They Know

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T17:57:15.328483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32cc776a-998e-4073-ab73-d5923541d287 · outbound

This paper cites Unsupervised real-time hallucination detection based on the internal states of large language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unsupervised real-time hallucination detection based on the internal states of large language models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c48028-d6ae-43a9-a115-6edb66eba6f1 · outbound

This paper cites Semantic entropy probes: Robust and cheap hallucination detection in LLMs, 2025.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Semantic entropy probes: Robust and cheap hallucination detection in LLMs, 2025

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dff60981-dad6-4534-a7ea-0338c08650a3 · outbound

This paper cites Prompt-guided internal states for hallucination detection of large language models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Prompt-guided internal states for hallucination detection of large language models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9436a0-44e0-45b9-8a8b-f3048964ebdc · outbound

This paper cites The Llama 3 Herd of Models.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios The Llama 3 Herd of Models

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:57:15.317419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 46f7776a-0ffd-47c8-84ea-57fe4facc54a · outbound

This paper cites Qwen3 Technical Report.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Qwen3 Technical Report

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:57:15.320294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97e45cb9-33fc-498f-9007-43ff085b9cb3 · outbound

This paper cites an unresolved cited work.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffad3e46-2e45-41e8-89d9-42b0edd6f29b · outbound

This paper cites an unresolved cited work.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21aad8e-fb3a-41ae-9988-bc3f1f61d84b · outbound

This paper cites reasoning.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios reasoning

Reference 68

Resolution: malformed identifier; no resolver link, observed 2026-06-27T21:50:44.634425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers