Paper Citation Record · LEDGER

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 10 inbound Pith citation observations for arXiv:2412.18947.

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

pith.paper-citation-record.v1
2412.18947 v4

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:22:52.084114Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:18:08.734883Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:38:28.969559Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy1
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa473d65-0605-4dbe-a5a6-5ddd948fca16 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:51.974932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e2d7b8c-28af-46c5-8145-37fbd8c9f3d8 · outbound

This paper cites write newline.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:51.978311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500e1f1e-5a0b-4ba9-87fe-ac0fbf925fdd · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:22:52.458357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec220f59-a8ca-4b08-8204-cdfecc4eb85e · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:51.986175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b98a02-031a-4cd0-9c35-525da82b8b75 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:51.988980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33dbae8-1d57-4a8c-9878-8b92c2244cfa · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:51.993428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b026341-da33-4779-b408-0f5b920fc94b · outbound

This paper cites Few-shot learning for medical text: A systematic review.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Few-shot learning for medical text: A systematic review

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:22:52.385055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dbe6d4fc-a215-4b5e-90eb-560cb5121b17 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.000379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb28b985-06af-43cb-ad36-9e8cd08959cb · outbound

This paper cites Data Collection and Labeling Techniques for Machine Learning.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Data Collection and Labeling Techniques for Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.003663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009a210e-faa4-4f71-b2de-e818d5809a10 · outbound

This paper cites MedExQA: Medical Question Answering Benchmark with Multiple Explanations.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MedExQA: Medical Question Answering Benchmark with Multiple Explanations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.006834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6f7e78-af5a-453f-a981-a9400c54ea1c · outbound

This paper cites H.; Cheatham, M.; Medenilla, A.; Sillos, C.; De Leon, L.; Elepa \ n o, C.; Madriaga, M.; Aggabao, R.; Diaz-Candido, G.; Maningo, J.; et al.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models H.; Cheatham, M.; Medenilla, A.; Sillos, C.; De Leon, L.; Elepa \ n o, C.; Madriaga, M.; Aggabao, R.; Diaz-Candido, G.; Maningo, J.; et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:22:52.446370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0740159-2352-467e-bfa5-415517da60a8 · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:22:52.438143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec1325cb-2eba-4ec2-9bee-2ce55d14d874 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.016057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93120263-676b-446c-af1e-99649fc578ef · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.018731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d7430d-49bc-493f-abd4-d122d1f16c93 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.022225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e09cb56-0dbd-4929-bd9e-494d9019eaac · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:22:52.431125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8aedec1f-4b93-45d6-99f9-6f01747208bc · outbound

This paper cites Visual Instruction Tuning.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Visual Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.028054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf49ac5d-345c-4a9a-9b4b-06db37eedd45 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MMBench: Is Your Multi-modal Model an All-around Player?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.030378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2659a164-5efb-4615-ab3b-0f86140a454e · outbound

This paper cites Med-HALT: Medical Domain Hallucination Test for Large Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Med-HALT: Medical Domain Hallucination Test for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.032934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d915b980-c5b4-4253-9080-01c451c0300a · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:22:52.423241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c1a9fce-fe9c-484c-b358-6ea9838da3fb · outbound

This paper cites MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.038183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d59d1ffd-dc4a-4f67-9487-d3858e1caa42 · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:22:52.414873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0942674-01e6-4697-910d-a0735ac08bd0 · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.044403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b6e40cc-3132-49b5-9cdd-03338c580724 · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Large Language Models for Data Annotation and Synthesis: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.047157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c76bf2c-91e1-4a44-9d14-6747bbf1158f · outbound

This paper cites XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.050486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f046121-36bb-4d1f-b667-284807b560fc · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:22:52.406822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef7a7b2b-55bd-437f-881a-d19cb8b48ede · outbound

This paper cites ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.057307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d88da37-d0c8-454a-9ef4-82eb1dcab07f · outbound

This paper cites Safety challenges of AI in medicine in the era of large language models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Safety challenges of AI in medicine in the era of large language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.060368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14a0c86-8da6-427c-bd95-33d68067aaf9 · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.063434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647a93f0-1ab9-4354-af3c-7d1b07101f26 · outbound

This paper cites LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.066548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007c30ff-fe4a-4b10-82ac-af765790fc9c · outbound

This paper cites mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.069704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a21b54-6351-4374-9809-2a06294e0c8b · outbound

This paper cites an unresolved cited work.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.072642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27021c6f-b395-4f26-8783-31b444739187 · outbound

This paper cites A Survey of Large Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models A Survey of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.075127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f90c3d7-d9e1-49c8-8113-7c6addc2a085 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.077949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8b2766-b253-4acd-87cd-8976f0bdebc5 · outbound

This paper cites KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T04:22:52.081151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71201a5c-b555-44dc-a4b9-1a45bd895829 · outbound

This paper cites Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning.

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:22:52.114395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 7ad24faa-0347-4752-9904-db3e9fdf834a · inbound

KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis cites this paper.

KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:18:08.734883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd44847f-7dc3-4363-a261-9311cbbb39d0 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 200

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:11.288187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ce2e7e-d737-4d09-b44d-e3a85a5e8824 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:21.056789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038607a1-13e2-41aa-a690-ab5f2d7550b7 · inbound

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders cites this paper.

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T22:26:40.829467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa9a7b1-57c2-4848-91ed-e9d0ce1365f3 · inbound

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities cites this paper.

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T22:26:06.534145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456e0b79-1c9f-4d9e-b161-5bfb1f2679aa · inbound

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input cites this paper.

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T19:49:52.789854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75f4bb8-a881-4007-bea9-ad58fdb4dc7d · inbound

PARALLAX: Separating Genuine Hallucination Detection from Benchmark Construction Artifacts cites this paper.

PARALLAX: Separating Genuine Hallucination Detection from Benchmark Construction Artifacts MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:12:44.896323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e92785f-c4af-4572-bda8-1688b7c71bfa · inbound

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models cites this paper.

ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T20:40:22.043187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be9bd705-9c52-4a50-8ad7-ff9c51334350 · inbound

Hallucination in Medical Imaging AI: A Cross-Modality Analytical Framework for Taxonomy, Detection, and Mitigation under Regulatory Constraints cites this paper.

Hallucination in Medical Imaging AI: A Cross-Modality Analytical Framework for Taxonomy, Detection, and Mitigation under Regulatory Constraints MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:28.970985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eff9e784-fec0-4680-a789-70fef4a19c29 · inbound

KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination Evaluation cites this paper.

KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination Evaluation MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T12:40:15.241605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.