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Paper Citation Record · LEDGER

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2304.08247.

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

pith.paper-citation-record.v1
2304.08247 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:54:00.800970Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:45.726306Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2ead9158-f5cb-4c47-8170-77a78e300102 · inbound

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

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 12

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arxiv_id, observed 2026-05-24T08:34:11.689391Z

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

source=pdf_text observed=2026-05-24T08:33:16.436778Z digest=sha256:b00e11bee08811d464f58d6c3d97056ecdde6e97ecb81b5753e5dbaa26be5ea5

Observation 8b89a41a-11dd-4e4e-839c-ce2f0def98ec · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 104

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arxiv_id, observed 2026-05-24T04:13:53.178519Z

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

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:f6745e4c0a66da62249774646a22b87bd5f8b170417359d1389073f1a1f3d527

Observation 65b1e3cf-b954-42ba-b7bc-5f24dbe6b77c · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 51

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arxiv_id, observed 2026-05-15T12:36:50.291723Z

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

source=pdf_text observed=2026-05-15T12:36:50.060335Z digest=sha256:93ccfb2c15f5725a7cab9ef09a6248b7e8999d8581e69bcb98b03a77c1048038

Observation f2885a3c-dc46-4d74-9207-5285332c580c · inbound

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets cites this paper.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 5

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source=pdf_text observed=2026-08-09T19:54:00.800970Z digest=sha256:fb245b8201dcd378ad70c2f1e447a8d892d8bc6ff1d822b07dc391ad6d0cbf33

Observation 06837aa2-9ff4-4d56-bfaf-a0d132cb8c8d · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 134

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source=pdf_text observed=2026-08-09T11:34:09.555161Z digest=sha256:09cc04f486bb8c78ae94f1f274d6f5e3e916c21b270b4d93e18a525138161f95

Observation 3b59518b-6fca-40e1-ab0e-e54625cdf299 · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 18

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source=pdf_text observed=2026-08-08T23:56:16.763302Z digest=sha256:3dcef856a9d6374c90bb9403726fcbf06cfc132f3a2197e6c9626e2f0fc08a8c

Observation 31aa9900-12e9-48e6-b99a-5dba4631298d · inbound

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models cites this paper.

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 18

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source=pdf_text observed=2026-08-08T19:12:42.248876Z digest=sha256:63e91ad03a5f8611bbb2796f62a4166f09c1c2cb1fe5d0617309d43c91466750

Observation eed20aa2-546c-4e77-9fab-a0c66db1ba5a · inbound

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting cites this paper.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 21

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source=arxiv_source observed=2026-08-08T12:14:20.307674Z digest=sha256:98b3b19374ba4b33d77b066f76957731506028c418fa9629f7c1da6a0dcae99a

Observation 823aeec4-f86e-40ef-831d-e9f447443e79 · inbound

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine cites this paper.

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 45

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source=pdf_text observed=2026-08-07T22:13:29.714127Z digest=sha256:0945e899f269d7fc8606db661c04c8a7931d1194a56db1a85bfdb0799b8e1799

Observation e4edb8e6-236e-41c2-933c-94c03b17d46b · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 18

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source=arxiv_source observed=2026-08-07T15:29:06.242115Z digest=sha256:9391609998819788e3624b273a47a87a0e22ff28bf73660be27122e9c9650d21

Observation 0d17389c-b692-49f5-88cb-7b9f5c11f9de · inbound

Collaboration among Multiple Large Language Models for Medical Question Answering cites this paper.

Collaboration among Multiple Large Language Models for Medical Question Answering MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 4

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source=pdf_text observed=2026-08-07T15:02:05.922781Z digest=sha256:3b64907f6062f7bb64bb23a501cfcc46d2999855203d98e18e7abc118c129800

Observation 46de4d8b-9be8-4798-a1d2-9b41cafc86f0 · inbound

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning cites this paper.

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 9

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arxiv_id, observed 2026-05-19T13:42:19.303893Z

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.

source=pdf_text observed=2026-05-19T13:41:30.833840Z digest=sha256:03478f5b75a8aa140e02b97cc88e295385c9149ba7f3a060504bd2ce04de8bf9

Observation 6e49bca8-9d8f-4c94-9205-feea6bf9d26b · inbound

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning cites this paper.

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 47

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:53.442182Z digest=sha256:d5b7a48a85bb60b1096b479e29c3ca717d7a50a51322b8e06640ba13a53d1c91

Observation 4e16bdc7-e37c-4b7d-aaac-9a317e37bb64 · inbound

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model cites this paper.

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 17

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arxiv_id, observed 2026-05-22T01:44:30.333181Z

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.

source=pdf_text observed=2026-05-22T01:43:44.406488Z digest=sha256:3982cc3c68b809d04266a4262393ee72a4876b0afd378a57bdcae7f1ba44c9cd

Observation aac1e5ca-4492-4b00-881e-75fb54a387f9 · inbound

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains cites this paper.

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:57:33.715195Z digest=sha256:40a34cdc66c58c7e808e5a607ce34b7ec9d86b58b99c4df1782aa3ecec5d853b

Observation 424ffe57-0339-4011-ac16-af33a36aecc2 · inbound

Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation cites this paper.

Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 10

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source=pdf_text observed=2026-08-07T05:57:41.280131Z digest=sha256:595b922118684df2136c6a6401f70edf6afcc2feccfb4a7122b5b7965992948d

Observation 2df642b2-4ed6-4e40-85e8-358701ab9c84 · inbound

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems cites this paper.

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 7

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source=arxiv_source observed=2026-08-07T00:31:09.431073Z digest=sha256:9689a3cca5fe8d0f055e1be8bd4d78edaea634b5ddd8e2fb46e01b7b79f004b2

Observation 67d96a2a-91f9-4397-95af-87cb7d4b10b0 · inbound

DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction cites this paper.

DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 14

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source=arxiv_source observed=2026-08-06T23:03:26.168669Z digest=sha256:b43d24340bd81cf00aa1fbe6a59ec6fae4e758616ed5654bd335141ccd205350

Observation f384dfab-44f5-43ee-bdaf-54de593205b1 · inbound

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics cites this paper.

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:03.537575Z digest=sha256:1c6144cb0a33f5ecf23954308cb64f06c23347f586c177a6de8270fe1eb5a819

Observation 15eb0885-6911-42d8-8481-31a0c5b9bb34 · inbound

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation cites this paper.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 14

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no resolver link, observed 2026-08-06T20:39:08.708942Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.708942Z digest=sha256:32285c500352e3b06061630ce08fc275e6fbbf4153d899f78bb22a98d94e6078

Observation 40ca1d8a-cb81-4aaa-b1c4-a293d38ffa68 · inbound

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine cites this paper.

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 22

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source=pdf_text observed=2026-08-06T19:42:13.681185Z digest=sha256:4af2138696853735b4d5d0b2646e8fcbf2b89750ca747e81c3e25c82b2000b5b

Observation e8246f9f-0e41-4df5-a395-a457e3d5773f · inbound

DocCHA: Towards LLM-Augmented Interactive Online diagnosis System cites this paper.

DocCHA: Towards LLM-Augmented Interactive Online diagnosis System MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:34:57.845776Z digest=sha256:250edf028125c9fd17901ebb3bcae30d4521cb5f4e2b040011636e21ce2f7fd7

Observation c82e75fe-ed35-42da-87e0-248225a525ee · inbound

Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian cites this paper.

Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 15

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source=arxiv_source observed=2026-08-06T17:17:22.371476Z digest=sha256:2b3742eafdce2d313761b10248b3da89d846f5553d99dd5729c444f9cf8706ec

Observation 5c8d074f-de11-42f7-8650-4265ac22d551 · inbound

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law cites this paper.

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 9

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source=pdf_text observed=2026-08-06T15:04:20.656068Z digest=sha256:338e069b8b14c2ff1373a74e373ab8b237fcf89acd408ed28fc879f43db25aa7

Observation 06590fca-c945-4c04-95dc-75762879fd07 · inbound

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG cites this paper.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 17

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source=pdf_text observed=2026-08-06T15:50:54.370611Z digest=sha256:3a504e9bdc698db0d215d821b891aba4f18360dc99ab48b392c400e44a73351b

Observation 2c21575b-c12d-4c63-a66d-c97fdce7048b · inbound

Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies cites this paper.

Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 30

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arxiv_id, observed 2026-05-18T21:16:51.161743Z

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.

source=pdf_text observed=2026-05-18T21:14:16.601070Z digest=sha256:78078d6d5becbdee2e0f6cb232a85279d4b1fa06ed1ab468b85aee0984e3e748

Observation 99ad80cc-4ac6-481b-984d-5dae7d32e6e7 · inbound

The Non-Determinism of Small LLMs: Evidence of Low Answer Consistency in Repetition Trials of Standard Multiple-Choice Benchmarks cites this paper.

The Non-Determinism of Small LLMs: Evidence of Low Answer Consistency in Repetition Trials of Standard Multiple-Choice Benchmarks MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 13

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source=arxiv_source observed=2026-08-05T05:30:11.872307Z digest=sha256:3e7caa265607f49858111be4318778ca6822af6341673b5e37df92150acb0e53

Observation e01a863c-7009-4274-8f97-81750cdd71f7 · inbound

Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis cites this paper.

Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 23

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source=pdf_text observed=2026-08-04T18:48:58.983514Z digest=sha256:502315141ab70227cd9626c647d33d93d19068191a865e358c1ba1c39296d34b

Observation 6508bb85-1cd9-4206-8b67-05ba870c10c6 · inbound

Go-UT-Bench: A Fine-Tuning Dataset for LLM-Based Unit Test Generation in Go cites this paper.

Go-UT-Bench: A Fine-Tuning Dataset for LLM-Based Unit Test Generation in Go MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 2025

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source=pdf_text observed=2026-08-03T22:23:29.667827Z digest=sha256:33cfb30b65e73ebd07fadc0fcf17bb0c8ef820a9d4948a426d1986c34e4dbede

Observation 790d07be-fbbe-468b-b54e-40f156fc9a91 · inbound

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation cites this paper.

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 58

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:42:29.445366Z digest=sha256:84d7108ae24da3302532128fe0f8588b7e0faca638160b08a52919f717cd5d5b

Observation be27cda8-a972-4258-bcf0-1e13614f7bec · inbound

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding cites this paper.

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 20

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arxiv_id, observed 2026-05-25T07:05:26.521245Z

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.

source=pdf_text observed=2026-05-25T07:05:21.138206Z digest=sha256:a45d95a989dd7771cb9aa9e136a8a52233130868421b92aeaad3a244a4e68eac

Observation 52e65707-012d-45c5-bc96-11ad89dc015f · inbound

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding cites this paper.

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 19

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source=pdf_text observed=2026-08-03T09:43:59.926345Z digest=sha256:af89fcd8db6158d35f06ea427e88b84e159d5aa59f42fbdc807df15e47fb0ff3

Observation 6f40607f-5812-4f12-aa6a-2f4afacc4e8b · inbound

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning cites this paper.

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 58

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arxiv_id, observed 2026-05-16T13:20:57.503789Z

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.

source=pdf_text observed=2026-05-16T13:20:49.919833Z digest=sha256:dbd97925bbbd7a5d81fe8d216977a9ac11aa01b2575462e53fa8ff3ba67583dc

Observation 7cf5ee17-471e-4721-9bc4-e2e7901eda67 · inbound

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis cites this paper.

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 5

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verified exact
arxiv_id, observed 2026-05-16T09:37:41.650160Z

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.

source=pdf_text observed=2026-05-16T09:34:23.475942Z digest=sha256:a42072fa404bf9a181084ac45a4c3fd1dda924b79759abaa9bc386c24d998e93

Observation 4313cf3e-d9c1-452c-8900-084078cc61b3 · inbound

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis cites this paper.

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:47:28.085247Z

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.

source=pdf_text observed=2026-05-16T06:44:49.421481Z digest=sha256:3b1d71dcecc7f2f5d0b294ce197e8efa2c83d08833b9583029602acfba05143d

Observation 8df83d78-cebe-4bb6-a60c-55789ead0ea6 · inbound

Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus cites this paper.

Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:30:53.099791Z

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.

source=pdf_text observed=2026-05-10T18:29:09.281263Z digest=sha256:6e233e41db79add14ee6bf9862018a89d50fef36395f3768cb34eeecbdee81e3

Observation ac8e457f-6bd3-4e63-b397-63a69b7c3863 · inbound

Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports cites this paper.

Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:16:04.310632Z

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.

source=pdf_text observed=2026-05-10T02:09:13.352298Z digest=sha256:2a893671674f6d0e53014c4c5811f24e59241c25c8052007ef8967354f3a8cab

Observation 1268f75a-d304-4a83-9ada-35363aa4b415 · inbound

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI cites this paper.

RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:46:20.729410Z

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.

source=pdf_text observed=2026-05-09T19:21:37.143665Z digest=sha256:c10c6f0e380e4bf101ef68f9b891f11dbd9927582c9ed374bfbe304f730358c3

Observation c80526da-0e99-4acd-bf20-419ece85acd4 · inbound

FedSDR: Federated Self-Distillation with Rectification cites this paper.

FedSDR: Federated Self-Distillation with Rectification MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:18:16.265619Z

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.

source=arxiv_source observed=2026-05-20T12:18:10.362573Z digest=sha256:80a774187a395ae3e85090f753d09050b99398d68655a76827ac31cb63a44e40

Observation 5d1810cb-6275-4669-b248-c36f7c4c1caa · 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 MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:53:59.418916Z

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.

source=pdf_text observed=2026-05-21T05:49:55.738870Z digest=sha256:996d3d5accdae3a6fb3bce4c264daca48e038e84d445d75e2f38844e5f81757e

Observation c5ae739f-ba7a-4792-9af1-03f5ac05b0c1 · inbound

MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning cites this paper.

MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:33:50.463952Z

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.

source=pdf_text observed=2026-06-29T18:30:34.440435Z digest=sha256:e62c1b9c53faf2418099d7a12c5088560d019c312807daafc7b0a72c95ad1f69

Observation 5f5ce47c-58a3-4563-b3d3-28ca5994a6d5 · inbound

Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning cites this paper.

Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:22:25.065694Z

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.

source=pdf_text observed=2026-06-28T17:18:07.068055Z digest=sha256:f8a2c7094e639d3e955b6d629a63c9790cbdd55d8ba28c7892d3524feafafcd7

Observation 09b4e95c-3dc0-4b25-90b9-b8354eefc28c · inbound

Can I Take Another Dose? Evaluating LLM Decision-Making Under Temporal Uncertainty in OTC Dosing QA cites this paper.

Can I Take Another Dose? Evaluating LLM Decision-Making Under Temporal Uncertainty in OTC Dosing QA MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:46:32.196536Z

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.

source=arxiv_source observed=2026-06-28T09:47:01.329536Z digest=sha256:6b5989874a2848ced8207b56f818e8a17d1a0a1c972190f979c87aca37433e5b

Observation f197a3d8-aec6-4483-85fc-8e5af26e790d · inbound

Closing the Social-Semantic Gap: SPSD for Edge-Based Prompt Compression in Cloud LLM Inference cites this paper.

Closing the Social-Semantic Gap: SPSD for Edge-Based Prompt Compression in Cloud LLM Inference MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:17:45.728717Z

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.

source=pdf_text observed=2026-06-27T10:50:27.571132Z digest=sha256:74c77ae8222c9c382a5b1f3843e497e1891df60ebf620fffa18e76f73b01c4b3

Observation 85f81c6b-7685-4987-9e12-d3dedb693187 · inbound

Gaokerena: A Small Persian Medical Language Model Family cites this paper.

Gaokerena: A Small Persian Medical Language Model Family MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T00:40:14.610160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:40:14.610160Z digest=sha256:43e58a2f2cbfefaf444543e2e753a4c419fd39e572eebf3e9525b3e1d42d5a3d

Observation 952b32cf-9998-4629-9712-61ebc2488061 · inbound

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints cites this paper.

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T13:39:09.177448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:39:09.177448Z digest=sha256:82babebc806743356252f525ba402b4f0b53262390dd423a799e90227a7ba445

Observation c68454e2-704a-4dd9-bb08-30883027ee06 · inbound

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels cites this paper.

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-08T04:21:30.368341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:21:30.368341Z digest=sha256:64ad08ad78d88189cbd49e4b6320a4c06a4eed029b9074aa0c9cf6f264f81a7a