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Paper Citation Record · LEDGER

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.25651.

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

pith.paper-citation-record.v1
2606.25651 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:04:46.900824Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact9
  • verified fuzzy0
  • unresolved43
  • parse uncertain2
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abbdaf5f-195e-4c79-9de9-8b81590d609a · outbound

This paper cites Overview of the mediqa-corr 2024 shared task on medical error detection and correction.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Overview of the mediqa-corr 2024 shared task on medical error detection and correction

Reference 1

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Observation c951675b-c08d-4bfb-8b0c-fe7e4ec5d58d · outbound

This paper cites MEDEC: A benchmark for medical error detection and correction in clinical notes.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction MEDEC: A benchmark for medical error detection and correction in clinical notes

Reference 2

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:ff287bafbf36e295e48e3acb4ebf10e152ead0add18f6ef289c27a5dfe0eaf52

Observation 173e64c4-691a-4401-8c22-a62b4dc3463e · outbound

This paper cites The challenge of uncertainty quantification of large language models in medicine.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction The challenge of uncertainty quantification of large language models in medicine

Reference 3

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arxiv_id, observed 2026-06-29T18:33:51.175825Z

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:d9b0cc2ba984fb07996c66f6711d675c3ee4a410208dd8277246f42c6ee711e0

Observation 0886c1e4-d041-459e-ae5b-3a0fa69d5772 · outbound

This paper cites an unresolved cited work.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unresolved cited work

Reference 4

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:a0d0ac20f27011de096bcca3fbdbab2f14faf64fb026a829784df4e2f058b99d

Observation 52e87d35-a8b2-4b41-a06c-24a77e3e8063 · outbound

This paper cites https://arxiv.org/abs/2412.12475.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction https://arxiv.org/abs/2412.12475

Reference 5

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arxiv_id, observed 2026-06-29T18:33:51.172832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:e5a9a45af48be2c821f0fc29737fdd44a94b774cfa4ca007ed0ab6d5b4c3fcfe

Observation 88c8c6e6-d07c-4106-a859-2172ce3f691a · outbound

This paper cites Mederrbench: A fine-grained multilingual benchmark for medical error detection and correction with clinical expert annotations.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Mederrbench: A fine-grained multilingual benchmark for medical error detection and correction with clinical expert annotations

Reference 6

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:002db847db33e3c60166b8309242580b7c35711ac8bc85619263f81b03a533de

Observation 6fce469b-79c4-443b-a2ad-c51cac36df1e · outbound

This paper cites Iryonlp at MEDIQA-CORR 2024: Tackling the medical error detection & correction task on the shoulders of medical agents.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Iryonlp at MEDIQA-CORR 2024: Tackling the medical error detection & correction task on the shoulders of medical agents

Reference 7

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:5a4b8fe7e4180135bdfd0337442812173dc7d8767101d569453d36525da35a00

Observation bbd5a092-88bd-4123-ad65-b475679af180 · outbound

This paper cites Development of a human evaluation framework and correlation with automated metrics for natural language generation of medical diagnoses.medRxiv, 2024.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Development of a human evaluation framework and correlation with automated metrics for natural language generation of medical diagnoses.medRxiv, 2024

Reference 8

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:6cbe45e6fcaab56857664c208953a6e3b5d1e54dba252b4a616e10cf5a032785

Observation b53f6d75-ede0-448f-a730-ff9d9fa978f1 · outbound

This paper cites MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks

Reference 9

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arxiv_id, observed 2026-06-29T18:33:51.161230Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:64faad6c05e16dc15212804cf527287cb1143f7a2382c757178be07c99ffc368

Observation f97e417f-6820-4699-92d0-5ff8c7828d75 · outbound

This paper cites From text to treatment: the crucial role of validation for generative large language models in health care.The Lancet Digital Health, 6(7):e441–e443, 2024.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction From text to treatment: the crucial role of validation for generative large language models in health care.The Lancet Digital Health, 6(7):e441–e443, 2024

Reference 10

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:354f4ef7ef76d6957c79136f45a21236114b27779165e4662ae92a710d2a783a

Observation 4af7cef5-4d9a-4941-9a0f-831ded3c9a0e · outbound

This paper cites Deepseek-v3.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Deepseek-v3

Reference 11

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:fcfbea3beefd5191723ba4804c772a2e68f43ebcb5119358af381ed1a626fb14

Observation 05546f0e-3063-4b2f-abdc-42c0ad279a53 · outbound

This paper cites Doubao-1.5-thinking-pro.https://console.volcengine.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Doubao-1.5-thinking-pro.https://console.volcengine

Reference 13

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:9c6b26a1196bbb10594c3694894b62e2b3cab5f3106b779be1d35069b0f5c9fc

Observation 2ced4029-8962-4d6c-a70f-bf6870b700ff · outbound

This paper cites an unresolved cited work.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unresolved cited work

Reference 14

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:087299f3cdbb3f24eeadf41dc1d340e14fe561d2b1d899e7bf4388d5383e7943

Observation 95dda705-e9aa-4f8b-9d4b-fbcc71105bbd · outbound

This paper cites QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Reference 15

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arxiv_id, observed 2026-06-29T18:33:51.169405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:f3d0603e5e631df5c7dc34f07530eb01ce12db0fd8352953cfe52d1fa15cc417

Observation cc442a09-651f-421a-83cc-2c584ed786cf · outbound

This paper cites Summarizing patients’ problems from hospital progress notes using pre-trained sequence-to-sequence models.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Summarizing patients’ problems from hospital progress notes using pre-trained sequence-to-sequence models

Reference 16

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:60829139f1536ac11b36c6a6ecfdc56a6162f2703edfc543371b50d316d24eee

Observation dced1bec-cd9b-41e5-992f-8148a6d60d03 · outbound

This paper cites Gemini 2.0 and 2.5 flash models.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Gemini 2.0 and 2.5 flash models

Reference 17

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:cb4a1e4cb99d370d61d3b47da9704828cf25e60357d5471b9e4e58386f1264d3

Observation 7124a658-deb9-4054-a9be-bd8f1ac2b5b6 · outbound

This paper cites Ascleai: A llm-based clinical note management system for enhancing clinician productivity.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Ascleai: A llm-based clinical note management system for enhancing clinician productivity

Reference 18

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:1afe18dd3c12da7df6ed82cf599e231fda9c52dc56bc87b052312395b021ef7d

Observation 02d8f4f7-b32c-4533-a2f0-198445b5287c · outbound

This paper cites Out-of-distribution Detection in Medical Image Analysis: A survey.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Out-of-distribution Detection in Medical Image Analysis: A survey

Reference 19

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arxiv_id, observed 2026-06-29T18:33:51.164861Z

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:bb1fa496f7fd275622434cb37deddefe74a6b69b5f5b4c2ff57047c791b97b03

Observation 5d656b8b-ca3f-4bb5-98b0-82811a2cb558 · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421, 2021.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421, 2021

Reference 20

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:e1ee1fe609f96d066492517fd11c5a449f92de7af45eb9fb99a16b3530827741

Observation 5509ee01-cfdb-4f50-99c0-ad44ebafe8b5 · outbound

This paper cites Mdagents: An adaptive collaboration of llms for medical decision-making.Advances in Neural Information Processing Systems, 37:79410–79452, 2024.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Mdagents: An adaptive collaboration of llms for medical decision-making.Advances in Neural Information Processing Systems, 37:79410–79452, 2024

Reference 21

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:23b2e38eef33722f3b7a2017d959612a8728df2782e1e68703d8fa30f24be4fa

Observation e7162e6b-cc3f-4ab9-831a-5bc8fcb7a6a8 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 22

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:c014040fec676e1f701a01e0aac428e5dd1b2ec36c943752fe077e8eceebd081

Observation 595bb8cb-aae7-41b1-ab92-9f8b5508bd48 · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Camel: Communicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023

Reference 23

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:b47ef5be48142e72f1933d26e6f35cfa7dcfafd0a784dc6cea37862bcc1f91c6

Observation 13c1aa3c-a5f3-4c61-9796-e91a614742e9 · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction ROUGE: A package for automatic evaluation of summaries

Reference 24

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:b1bad38c5a959fbc394e41e9f6f7f14b7c9b23aef18a5837aac40c3f4cdfc1f9

Observation bbd583ff-f3c4-4c16-ae5a-9a0a8d54bde3 · outbound

This paper cites Self-Alignment Pretraining for Biomedical Entity Representations.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Self-Alignment Pretraining for Biomedical Entity Representations

Reference 25

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arxiv_id, observed 2026-06-29T18:33:51.155961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:8b70883009ac262eb001875d33bcd1a7855cfe5a3e3525e1261af40530167073

Observation e774c919-df1d-4f3f-91dc-df21197f5ea4 · outbound

This paper cites A generalist medical language model for disease diagnosis assistance.Nature medicine, 31(3):932–942, 2025.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction A generalist medical language model for disease diagnosis assistance.Nature medicine, 31(3):932–942, 2025

Reference 26

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:eede167d3226bf9b200ae34fe6a273f79744477c43564d38724a11a4729a5a26

Observation cddd937c-79c2-42b8-9972-58a212916411 · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction On Faithfulness and Factuality in Abstractive Summarization

Reference 27

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arxiv_id, observed 2026-06-29T18:33:51.166559Z

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:42ad154b4d9218899fc867c2ad921819cc8364423fdd66ae591134e7f8e42e1b

Observation cb0dd28b-e908-435e-8234-af0269d728b0 · outbound

This paper cites A comprehensive overview of large language models.ACM Transactions on Intelligent Systems and Technology, 16(5):1–72, 2025.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction A comprehensive overview of large language models.ACM Transactions on Intelligent Systems and Technology, 16(5):1–72, 2025

Reference 28

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:6f59cc418d7c7b744cbd5619743cf9e1af958f659e1a05b26a2773d4e296886b

Observation fe575d8b-aff9-4012-8966-2e5c186e8d7d · outbound

This paper cites Why We Need New Evaluation Metrics for NLG.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Why We Need New Evaluation Metrics for NLG

Reference 29

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local_arxiv, observed 2026-06-29T18:33:51.154947Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:e92321a13a2f9e4a745ec28daae59e2cf4699292d5b940c0617713460872a038

Observation d83b3148-fd0d-46ab-9262-eaf66afddd41 · outbound

This paper cites Gpt-4o-mini model card.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Gpt-4o-mini model card

Reference 30

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:d7b8072cab830f7f4ccc7f0d1da573ef4ad34ec58c8bed302d7dcc7d1d284f70

Observation 82dc96cd-6b1d-4925-ac4c-01b6cb7e205a · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Bleu: a method for automatic evaluation of machine translation

Reference 31

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:d589e8cdffd694d298ac812865661d54b9363d355ee5e2de8d621fdeb87d0fae

Observation 0001342e-df39-40e4-a08b-fd843cf1702b · outbound

This paper cites an unresolved cited work.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unresolved cited work

Reference 32

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:c174a3859b3893c319700ebaeb3039de30e0e760dcc86751af81ea92043bb780

Observation d33b80cb-8e5b-4406-ad48-9821c1572a2e · outbound

This paper cites an unresolved cited work.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unresolved cited work

Reference 33

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:53d9221834c221f33376494115e432edb81d815929946649f11cff377bfd235a

Observation 868d5441-2cc6-43a5-bc4a-42147944ae2b · outbound

This paper cites Em_mixers at mediqa-corr 2024: Knowledge-enhanced few-shot in-context learning for medical error detection and correction.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Em_mixers at mediqa-corr 2024: Knowledge-enhanced few-shot in-context learning for medical error detection and correction

Reference 34

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:5384b977341f0f247f023737e23946d1afdb4730bf740dddb0bb794ada081bb8

Observation d53e2726-20fc-48bd-a644-3fbdf54ff3da · outbound

This paper cites Medifact at MEDIQA-CORR 2024: Why AI needs a human touch.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Medifact at MEDIQA-CORR 2024: Why AI needs a human touch

Reference 35

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source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:9872ace7924fe5e3159babbab8e29b0a6f327fa52f317a25e8b95734a8dc3042

Observation 99d66108-04e9-42bc-9980-0a5fb58ab1c2 · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 36

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local_arxiv, observed 2026-06-29T18:33:51.163831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:e730b953dfe9c478c6a60439c53c005237c1d07f426de00e982c704f2c4c95b6

Observation 90f2c756-a8a0-4079-ad9e-e27d1778db29 · outbound

This paper cites an unresolved cited work.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unresolved cited work

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:f64bb414254062574e193a03f730be79f2434babf8200a31676b9c1f3458217b

Observation 79552e12-e30b-4b71-9590-ccff59a0e2a2 · outbound

This paper cites Trustworthy and practical ai for healthcare: A guided deferral system with large language models.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Trustworthy and practical ai for healthcare: A guided deferral system with large language models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:5ef374d434bc9306290ba20f405f3104f857f7c759871dd83c95936a9f9b9477

Observation 861201fa-4335-4878-9934-6f584643e4b5 · outbound

This paper cites Large language models in medicine.Nature medicine, 29(8):1930–1940, 2023.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Large language models in medicine.Nature medicine, 29(8):1930–1940, 2023

Reference 39

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:747dd68f3688cb3e8f852b172bc22c862c0040b4e4ea4c65dffe292d9ac748c9

Observation b2840945-42c4-47a2-96e5-b0fca1412a0b · outbound

This paper cites Hse nlp team at mediqa-corr 2024 task: In-prompt ensemble with entities and knowledge graph for medical error correction.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Hse nlp team at mediqa-corr 2024 task: In-prompt ensemble with entities and knowledge graph for medical error correction

Reference 40

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:f836c50110ba88cb356c65eab2ffe88ce58ef08da2ec7db7f88f6a47fb0d517a

Observation 56132def-a07a-4a0d-bd21-9614252e4c89 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 41

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verified exact
local_arxiv, observed 2026-06-29T18:33:51.167534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:fa16d5ffc0dd9d3a0e85b08e0fb0d704570567e0bb1e30c03151e401640acf57

Observation d6ba0e10-f74f-47bc-a6c5-68359c3ab006 · outbound

This paper cites Le, Ed H.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Le, Ed H

Reference 42

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:3b90bef4668e540a5258648f081e3f5c5d100e70e89308af2e70fbafe3af8d6b

Observation 1740e777-e734-4dd8-9bc7-e52b31bf5cbd · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Chain-of-thought prompting elicits reasoning in large language models

Reference 43

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:02962389c876041dfc9590339ac91f04e3eac9174d228b845da9596a7db87bc3

Observation e98bc808-8ba4-40cc-bc12-da5af0155765 · outbound

This paper cites Physician-and large language model–generated hospital discharge summaries.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Physician-and large language model–generated hospital discharge summaries

Reference 44

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unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:89159b96bf541e3df6172aff116c108b9fa14e331f97f2b499cb38c43637b422

Observation ff721d3d-4b20-4e88-a773-93ee95af7974 · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Autogen: Enabling next-gen llm applications via multi-agent conversations

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:bbcb9781c1130841f9a6525d78ffa9f10886e05a78f12a9d46091b0d33afc78d

Observation 70510be9-d45d-4d0f-b676-99c91de3cb50 · outbound

This paper cites Knowlab_aimed at mediqa-corr 2024: Chain-of-though (cot) prompting strategies for medical error detection and correction.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Knowlab_aimed at mediqa-corr 2024: Chain-of-though (cot) prompting strategies for medical error detection and correction

Reference 46

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unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:2e78440d2e09d23f893fa5748a31070a6a3a69cb3ea4f4b507da51cb1a29fc1e

Observation 98c22038-5f58-4c91-9664-5d63ffffb448 · outbound

This paper cites Unilog: Automatic logging via llm and in-context learning.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unilog: Automatic logging via llm and in-context learning

Reference 47

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unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:2d32314ff0aeae7930d247ad1b72e4726239dfe37b8398c4cf13db664955fc77

Observation 2527cd58-1783-43bb-8051-d7b9334ddf4f · outbound

This paper cites an unresolved cited work.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Unresolved cited work

Reference 48

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:9bbfdd115effe69cfa6280c424586f704a1862555e8888640fad8a912a78a982

Observation bdd7d5d7-3001-4341-b19a-15a53326dc7e · outbound

This paper cites A large language model for electronic health records.NPJ digital medicine, 5(1):194, 2022.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction A large language model for electronic health records.NPJ digital medicine, 5(1):194, 2022

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:d622b83532db45304d4706353e779527b8e51147504e1820aa035ce26755bcaa

Observation 0b58e244-257a-4983-ac53-df5a0ee32156 · outbound

This paper cites Chatdiet: Empowering personalized nutrition-oriented food recommender chatbots through an llm-augmented framework.Smart Health, 32:100465, 2024.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Chatdiet: Empowering personalized nutrition-oriented food recommender chatbots through an llm-augmented framework.Smart Health, 32:100465, 2024

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:f57f710df4f65f1fda7e2f3517ded8e16618bb2ec182ec1f0de2fd7f2883cfd1

Observation d3529a3a-6d3f-467d-97f9-eea527b123d1 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:5a198105bbf799ed6cdb0f51c3ffae366ccffc14f410214db3e76e294223f261

Observation b94e3f2f-7035-4b2b-a008-25dd53c3338c · outbound

This paper cites A Multimodal Multi-Agent Framework for Radiology Report Generation.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:51.157570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:e5b863914d2fcb7057450c9b666952feb902d79ab9300915809fed51c19c68c6

Observation 89e2f023-f289-48cf-9a34-340257674534 · outbound

This paper cites Clinicalagent: Clinical trial multi-agent system with large language model-based reasoning.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Clinicalagent: Clinical trial multi-agent system with large language model-based reasoning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:ade27e993e69ca1c27ec6453a9fef4d00dc1c1b98457ff62514243d1c0824c5f

Observation 84804261-c526-4063-9765-fa395d390f1d · outbound

This paper cites Weinberger, and Yoav Artzi.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Weinberger, and Yoav Artzi

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:4f1016a590f38ae1b4e0ec697e36a6f2f18db8ba988cf0c5ad8b95e44e1012d0

Observation 67b990c3-04cc-476e-9311-360820671bd7 · outbound

This paper cites Kg4diagnosis: A hierarchical multi-agent llm framework with knowledge graph enhancement for medical diagnosis.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Kg4diagnosis: A hierarchical multi-agent llm framework with knowledge graph enhancement for medical diagnosis

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:a9a5f7906e3d1b80820f44f364ed8bf29f2e2dc49ff395e98e781cfd2d0bd9d3

Observation 44b02838-a7de-44f8-919e-7ac5ac4135a3 · outbound

This paper cites sepsis” is not treated as a keyword because it represents an existing diagnosis at admission (“Mr. <NAME/> was treated for sepsis, present on admission.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction sepsis” is not treated as a keyword because it represents an existing diagnosis at admission (“Mr. <NAME/> was treated for sepsis, present on admission

Reference 56

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:0e3e1906c73f3af8d390914e16a2b7dd053f9cd269ce300f1032ed8fdfcd9731

Observation 1ee25244-d3a2-40b3-a0b1-4c31a0b1cc82 · outbound

This paper cites CORRECT". If the text has a medical error return one word.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction CORRECT". If the text has a medical error return one word

Reference 57

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no resolver link, observed 2026-06-29T05:04:46.900824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:04:46.900824Z digest=sha256:810568b7424a93c09984c343b8f2ae87863211a6ee50c8de1cd7d5c6dfed3e18

Pith citing papers

No inbound Pith citation observations are available.