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Paper Citation Record · LEDGER

The Aloe Family Recipe for Open and Specialized Healthcare LLMs

As of 16 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 5 inbound Pith citation observations for arXiv:2505.04388.

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

pith.paper-citation-record.v1
2505.04388 v2

Coverage vector

measured 100 of 102 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:36:30.117264Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:19:17.815537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:06:30.138034Z

Reference resolution

100 of 102 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved76
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fef4840f-52b8-4772-bd47-cb9f6916372a · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-15T23:36:29.791725Z digest=sha256:0032305923af545cc6547c8845d66896da251ecd11f954fa684001c11e075516

Observation 63d4fe7d-e2ab-48d8-9949-d5de8e668f54 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Towards Expert-Level Medical Question Answering with Large Language Models

Reference 2

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source=pdf_text observed=2026-08-15T23:36:29.795903Z digest=sha256:617c656d868b25e7c56a0bb19403dbc32b1064cec718e534ff2a534b2882633c

Observation a37eb862-ea1e-46b7-b939-2ab581153cb6 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Capabilities of Gemini Models in Medicine

Reference 3

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source=pdf_text observed=2026-08-15T23:36:29.799486Z digest=sha256:4279245d678007451173ad02542b521c51b69bfb251c487eecf199cf99d4da32

Observation 44aff95e-9686-44f8-a1ff-ede5d8f7b042 · outbound

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

The Aloe Family Recipe for Open and Specialized Healthcare LLMs MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 4

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Observation fad6fb2e-3595-4a6d-acba-054e073d1b8d · outbound

This paper cites PMC-LLaMA: Towards Building Open-source Language Models for Medicine.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs PMC-LLaMA: Towards Building Open-source Language Models for Medicine

Reference 5

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Observation 9f58f545-347e-4a8a-8b13-fb92911997df · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 6

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source=pdf_text observed=2026-08-15T23:36:29.810255Z digest=sha256:def40359c09953a69b9080172ad724351bc43e8c410b0c167bfa9e9663c45ee1

Observation 5dc9efb4-21b9-463b-95fb-21e04bee4d3a · outbound

This paper cites Towards Building Multilingual Language Model for Medicine.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Towards Building Multilingual Language Model for Medicine

Reference 7

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Observation 7b71fae3-86a1-449a-8b9f-6a5bf7fc187c · outbound

This paper cites BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Reference 8

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source=pdf_text observed=2026-08-15T23:36:29.818072Z digest=sha256:b50ec73cc312c7002eaabe35e8f23355997e31c6c6da96d9f6a130c7907b0cd7

Observation 1b223560-5a60-4aa3-bf89-91278351e528 · outbound

This paper cites Hugging Face (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Hugging Face (2024)

Reference 9

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Observation 9e484e01-6c20-4dee-95e8-832089d9ec07 · outbound

This paper cites Aloe: A Family of Fine-tuned Open Healthcare LLMs.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Aloe: A Family of Fine-tuned Open Healthcare LLMs

Reference 10

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source=pdf_text observed=2026-08-15T23:36:29.824314Z digest=sha256:ea7075b6b26c809e724e22c7a85b22776155cea717ffe09e0ba7f92d5d1336cf

Observation 92ad20b0-9dd9-45a9-b102-b609212ac767 · outbound

This paper cites https://arxiv.org/abs/2406.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://arxiv.org/abs/2406

Reference 11

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Observation d62aff13-849b-4a47-89cf-db1b5957bad8 · outbound

This paper cites Med42-v2: A Suite of Clinical LLMs.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Med42-v2: A Suite of Clinical LLMs

Reference 12

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source=pdf_text observed=2026-08-15T23:36:29.830618Z digest=sha256:01f5ba882454fb6cbfe64daffb15b83018302cf1e6a1b204962cd54fb4ebe0a6

Observation 3246684a-1f01-4785-9b1c-6302e66d7d8b · outbound

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

The Aloe Family Recipe for Open and Specialized Healthcare LLMs HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 13

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Observation 4268d437-06b6-45a8-94b7-1a3ce0762fa8 · outbound

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

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Med-HALT: Medical Domain Hallucination Test for Large Language Models

Reference 14

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source=pdf_text observed=2026-08-15T23:36:29.837274Z digest=sha256:3c254173763cb1791a97704ca19c749f8e0ebd30ceaeb08d7f7f48376a0a4f48

Observation d61b9165-084b-41a5-b361-fd6beada567f · outbound

This paper cites medRxiv, 2024–04 (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs medRxiv, 2024–04 (2024)

Reference 15

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source=pdf_text observed=2026-08-15T23:36:29.840418Z digest=sha256:733f5447601e2640b1496f63cc882c03b5b22e57c10de3b0b2e070c617c0e083

Observation 3448afe3-0767-4c97-ba6e-22fc2adde79c · outbound

This paper cites A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Reference 16

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Observation adc5119a-9499-44e6-8bbd-f4a34f24731d · outbound

This paper cites In: Chiruzzo, L., Ritter, A., Wang, L.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Chiruzzo, L., Ritter, A., Wang, L

Reference 17

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Observation ccabed88-e713-4618-a2cd-8c8e2e07f375 · outbound

This paper cites https://huggingface.co/spaces/ HuggingFaceFW/blogpost-fine-tasks.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/spaces/ HuggingFaceFW/blogpost-fine-tasks

Reference 18

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Observation ec6a361a-fedc-462e-b1d4-d54e4b3bf333 · outbound

This paper cites In: International Conference on Machine Learning, pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: International Conference on Machine Learning, pp

Reference 19

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Observation 0aaa7978-4559-44f3-bc72-5bc86120aca2 · outbound

This paper cites In: International Conference on Computational Linguistics (2020).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: International Conference on Computational Linguistics (2020)

Reference 20

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Observation 9e88350c-a683-49ff-b671-ef97f54a3949 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 21

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Observation 2d9d694a-3ce8-463a-ad6a-c87056beb64d · outbound

This paper cites GitHub (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs GitHub (2024)

Reference 22

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Observation 4a3cc8bc-8ce9-4b1f-8550-629109a98a28 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 23

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Observation 1ba583b2-aaad-4a02-a2cc-4b463b4a914a · outbound

This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Reference 24

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Observation 42309600-3903-4450-867f-91613e56af7a · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 25

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Observation 7fd00474-6200-48a8-8437-1525d0c79b4d · outbound

This paper cites Proceedings of the National Academy of Sciences120(30), 2305016120 (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Proceedings of the National Academy of Sciences120(30), 2305016120 (2023)

Reference 26

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Observation f2b95f66-f8ac-45d5-a64f-13f79ff7b998 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 27

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Observation 5e2c220c-bebc-4cfb-9fcd-32ab18d0c45a · outbound

This paper cites OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 28

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Observation 85be7a44-dc96-48eb-a6ec-56e0aaed0a34 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Magicoder: Empowering Code Generation with OSS-Instruct

Reference 29

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Observation 552e40d1-cda5-4fcd-a54c-0fa23856c769 · outbound

This paper cites Best Practices and Lessons Learned on Synthetic Data.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Best Practices and Lessons Learned on Synthetic Data

Reference 30

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Observation b4c34193-f730-482b-b8ca-562e6c447536 · outbound

This paper cites Does Synthetic Data Generation of LLMs Help Clinical Text Mining?.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 31

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Observation dd50846e-17ba-48f8-993d-477062bf11e4 · outbound

This paper cites In: Proceedings of the Con- ference on Empirical Methods in Natural Language Processing.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the Con- ference on Empirical Methods in Natural Language Processing

Reference 32

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Observation a41c13a5-e156-4af7-bdb5-9a55a383cd49 · outbound

This paper cites NPJ Digital Medicine 6(1), 210 (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs NPJ Digital Medicine 6(1), 210 (2023)

Reference 33

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Observation 1de11d8b-cb98-47af-a85d-4487be829198 · outbound

This paper cites : PubMedQA: A Dataset for Biomedical Research Question Answering.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs : PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 34

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Observation 06369110-a06e-48da-afdc-425d8f5a93fb · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 35

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Observation 0b51d4e7-bbed-448c-ad97-848ae2f17596 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 36

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Observation e79d17ef-83b3-48de-8cd1-682b85d0f432 · outbound

This paper cites In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp

Reference 37

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Observation a5d59eb0-111f-41d1-a1db-051db46f764e · outbound

This paper cites Zenodo, ??? (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Zenodo, ??? (2023)

Reference 38

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.916344Z digest=sha256:5eb4c122650dd6c4c5b07b97e1897741bcdb723a836b1b50e29ec5322cf66b04

Observation 7eae2077-0ec5-4152-b8bf-793fd72f5084 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-15T23:36:29.919474Z digest=sha256:de615d7c8bdb9253814abf99fd07ed328dfda2b37e9adfe38a95b878f62c7e63

Observation be9e02af-09db-4957-86d5-30ad4ea0f6b8 · outbound

This paper cites https://huggingface.co/ datasets/BAAI/Infinity-Preference (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/ datasets/BAAI/Infinity-Preference (2024)

Reference 40

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source=pdf_text observed=2026-08-15T23:36:29.922538Z digest=sha256:1d00132491b6c9ceb1a7cdbed6b01f00bf3f99fef98c485cdd5406e8b3374b89

Observation ac3b378a-bc3b-4b7e-ae78-b79ebfcf3455 · outbound

This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Reference 41

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source=pdf_text observed=2026-08-15T23:36:29.925751Z digest=sha256:c37b86058318634d07d444dab9125baac8a5a4f147c3949458f08f5b75b852a8

Observation 28a9226e-e311-4f31-9fe9-3b5ae73cbed8 · outbound

This paper cites AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 42

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source=pdf_text observed=2026-08-15T23:36:29.929432Z digest=sha256:729cf683acd013eb9cb04cc18b97c6208122db0eb0e8b1e3208c1064bcb3f4d7

Observation 57e5deb8-c455-4e52-b630-933bf4264575 · outbound

This paper cites In: Graham, Y., Purver, M.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Graham, Y., Purver, M

Reference 43

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source=pdf_text observed=2026-08-15T23:36:29.932903Z digest=sha256:778473e3e8eaeb5269dc9d1520ab4695f8de859fd0f27905e33a959a8fb422c2

Observation 91c0042f-ef51-46b1-95df-ff6ccd6c6407 · outbound

This paper cites Do Anything Now.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Do Anything Now

Reference 44

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source=pdf_text observed=2026-08-15T23:36:29.937322Z digest=sha256:e3c2862afcc019065f568b65d6d26f8ad4f0d4a15ce34acdae71ac7fe189b3ec

Observation 7c42da30-d66c-4c2d-af3f-bc3209242959 · outbound

This paper cites Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Reference 45

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source=pdf_text observed=2026-08-15T23:36:29.940696Z digest=sha256:6ec56a9b17c1df42fb2fda59925c5015898a51d8a0211ba7f4d176cc11f93a70

Observation e0691875-166b-4b6b-9848-37fef6bb0f90 · outbound

This paper cites Efficient Safety Retrofitting Against Jailbreaking for LLMs.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Efficient Safety Retrofitting Against Jailbreaking for LLMs

Reference 46

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local_arxiv, observed 2026-08-15T23:36:30.448340Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.943838Z digest=sha256:ca8c315d0245e88a1989b7b78d35e19aa2ee3347b1b266253c018a7f1810a938

Observation 218ab4d7-916e-46e2-bc87-b0d5005b6e28 · outbound

This paper cites Nature Machine Intelligence, 1–10 (2025).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Nature Machine Intelligence, 1–10 (2025)

Reference 47

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source=pdf_text observed=2026-08-15T23:36:29.947150Z digest=sha256:ef049c8afed8755eccbaeb8cc62c04b2195e9009f1785cfe53d570abd8323954

Observation ff36a503-e28c-47b3-9678-dd41dfd1db3c · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 48

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source=pdf_text observed=2026-08-15T23:36:29.950699Z digest=sha256:e921583ef76e996b62bddd6610008e65760124e5f07cd8bc9f34e3e68b901454

Observation bc4215c0-8a35-4e5d-98ca-9c650097626e · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 49

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source=pdf_text observed=2026-08-15T23:36:29.954133Z digest=sha256:90bbb5e0f15289685caeb835d75a13cb3ffd293ede3b2ad07b2507b4cd810130

Observation 62c1bfbb-2552-4e7d-a0e0-79737b02d398 · outbound

This paper cites https://arxiv.org/abs/2306.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://arxiv.org/abs/2306

Reference 50

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.957872Z digest=sha256:e5771f8305f80c4997b89c832ff2781ee2f937a56e53b3303995e3853802e8d6

Observation 80661feb-844e-4372-87e0-cfe3326d9896 · outbound

This paper cites Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 51

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source=pdf_text observed=2026-08-15T23:36:29.961028Z digest=sha256:c16e465e8c0e51125d72e48e468d71d212c530a4cc032e29d409b753f37a681f

Observation 05dff09f-ace1-4855-b0f2-d9919c5354ee · outbound

This paper cites Editing Models with Task Arithmetic.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Editing Models with Task Arithmetic

Reference 52

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source=pdf_text observed=2026-08-15T23:36:29.964599Z digest=sha256:c9c478eada03c758168997bfdc529c352c0063f3dfec55762d20bc5036b38ddd

Observation 84b06b1a-123d-4ec7-90b2-782fa61c2962 · outbound

This paper cites Model Stock: All we need is just a few fine-tuned models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Model Stock: All we need is just a few fine-tuned models

Reference 53

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source=pdf_text observed=2026-08-15T23:36:29.967806Z digest=sha256:8ae68bca72248fbe2f86a41f26e3f315bef357a7caaba8d16506ca08e0f42ce8

Observation a5bb9c68-c4b2-493e-af6d-a86607da3267 · outbound

This paper cites Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks

Reference 54

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source=pdf_text observed=2026-08-15T23:36:29.970979Z digest=sha256:f62816518122af319bb8cc41f6711ffeec05e50f720671da0b1aadc59371b3d8

Observation af1a6113-eece-40da-b6f9-bc89d3358090 · outbound

This paper cites TIES-Merging: Resolving Interference When Merging Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs TIES-Merging: Resolving Interference When Merging Models

Reference 55

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no resolver link, observed 2026-08-15T23:36:29.974233Z

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source=pdf_text observed=2026-08-15T23:36:29.974233Z digest=sha256:d713041f0d2e2b83b32c159d22fc8d1d3811bd31a443178a42ccb5c8ee739499

Observation 693ec936-3e78-412c-b432-80094be561c1 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 56

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source=pdf_text observed=2026-08-15T23:36:29.977416Z digest=sha256:e4e4265b5fd64b5897674e2133ee9a86107e39e4cebeb2a4742f81283f89d98f

Observation c46ecced-ba1f-4a8f-a24d-77370239ab80 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.980839Z digest=sha256:9bf5d329bbe710121dabc8cdacc728dacbe03cd95bb6dcba71ebf96086fade7a

Observation 59d2cf29-6596-4ff3-89a9-235b9810eeed · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.983703Z digest=sha256:88e737fef24910a08e1b5286328b535074c359945461f3ea277caa1ac6632b00

Observation 0da648b4-eaa0-42a5-87df-b54c027bb577 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 59

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.986698Z digest=sha256:62c7ad0d7484e02f9a11e6842dce77b7b219c07d3ac1410ce96343557ac28783

Observation b8568e19-3319-4e6b-9eda-18634f34cc31 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 60

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source=pdf_text observed=2026-08-15T23:36:29.989702Z digest=sha256:e4dbcb9247b93dc26f0f0dd399d4a7b6b9803d4a3ed326126f29cdbb4b9a7142

Observation 83506922-e164-4f55-8e8e-9b0a815adaac · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Advances in Neural Information Processing Systems (NeurIPS) (2024)

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.954347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:29.992953Z digest=sha256:59ce759b6e342d8f038b88cfd30911c91f24776799a88ef324477c3049be5fab

Observation 0ebf3791-eb97-4419-ad6f-7075ee1a7519 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 62

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source=pdf_text observed=2026-08-15T23:36:29.995904Z digest=sha256:c5b376260ee2ba3d1d3957d0c68205979e8bc82365c852448b9dc871a16e711c

Observation 512fda7d-f4f7-4074-8fb1-176b6d25233b · outbound

This paper cites Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval

Reference 63

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source=pdf_text observed=2026-08-15T23:36:29.999325Z digest=sha256:213de2d435b2578b1a5c621d5204fbf9e6cd5b4d786adf95ae074a64cd047c4d

Observation cf002459-e344-4aaa-acd7-50a1d9f8c692 · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 64

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raw_fallback, observed 2026-08-15T23:36:30.945411Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.002658Z digest=sha256:ca14a901faca3c576e187f86db6825adf63e2fdeda16829989d301578aa13e66

Observation 3b9f25f3-34f3-4820-a8f4-8a8baf3f8435 · outbound

This paper cites : Evaluation and mitigation of the limitations of large language models in clinical decision-making.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs : Evaluation and mitigation of the limitations of large language models in clinical decision-making

Reference 65

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raw_fallback, observed 2026-08-15T23:36:30.936357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.005886Z digest=sha256:d408c3c8fb693d028028c3c2525a04ec2a612a8720a59552a3645bb3c7853626

Observation ef200329-d5b3-4ffc-bdc5-ca0df53b18bf · outbound

This paper cites In: Text Summarization Branches Out, pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Text Summarization Branches Out, pp

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.008868Z digest=sha256:e540063b6c4d75279e60ecec5bd1d4e1b0cd5b3f5f3dbb4a575074184ad44d09

Observation 73c405f8-36f7-4dbc-b318-b72017289749 · outbound

This paper cites In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp

Reference 67

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source=pdf_text observed=2026-08-15T23:36:30.011913Z digest=sha256:4c003828232158429dfb0a7703c8503612a9e1d0faa7f1a08e9cd88bbec46b74

Observation a0712a80-894c-40fc-bd42-07ef44020639 · outbound

This paper cites The Journal of the Acoustical Society of America 62(S1), 63–63 (1977).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs The Journal of the Acoustical Society of America 62(S1), 63–63 (1977)

Reference 68

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raw_fallback, observed 2026-08-15T23:36:30.916720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.014917Z digest=sha256:d9d102e77b3c3fd38aedb2a2ed4edca8d3e0af42589a699001ceb3c7ee86417e

Observation e61e8881-9019-47a9-b74c-88fc8dd1d0d4 · outbound

This paper cites Nature Machine Intelligence, 1–11 (2025).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Nature Machine Intelligence, 1–11 (2025)

Reference 69

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raw_fallback, observed 2026-08-15T23:36:30.907357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.017804Z digest=sha256:e7c33a8a9b244634f5b13f06f428ff8284ed1c16119fdb9c81438daaaa74a2c5

Observation 56b936d7-4213-46bc-a1e1-02bd2e9f3949 · outbound

This paper cites arXiv preprint arXiv:2404.04067 (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs arXiv preprint arXiv:2404.04067 (2024)

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.020962Z digest=sha256:ce4832e7ab3452be91ac4f3be5405825aae7696f3db798791d2355c3056ca982

Observation eb689811-c640-4b1f-bf1d-1e35e99e3f29 · outbound

This paper cites MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.024034Z digest=sha256:788e13e38767b0077a583f6732b5bf0ac420bb91f17a6b7c6b24db5cfeac8252

Observation 22b6a53f-6ce6-489d-829b-28224f3d1914 · outbound

This paper cites In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Lin- guistics, pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Lin- guistics, pp

Reference 72

Resolution
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raw_fallback, observed 2026-08-15T23:36:30.813704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.027833Z digest=sha256:f542f5baeee000d03a3c61185af559495161bbaf82359cc7586e69783ef44c2f

Observation cbf03e72-3e76-484d-a19a-4a350a78546c · outbound

This paper cites Nature Scientific Data 10 (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Nature Scientific Data 10 (2023)

Reference 73

Resolution
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raw_fallback, observed 2026-08-15T23:36:30.804368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.031178Z digest=sha256:0d34f32542fbab11a976255ed03365182889e81981b3e03223943ea71375aba3

Observation b4e618bf-da4c-437a-9475-72e4caccc44c · outbound

This paper cites In: Proceedings of the 2022 6th International Conference on Natural Language Processing and Informa- tion Retrieval.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the 2022 6th International Conference on Natural Language Processing and Informa- tion Retrieval

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.034285Z digest=sha256:6570c3a4f9ce78abb28f0caf023cb47ff46f4f51e5be7d655abac67ce03f1f57

Observation accca731-f6cb-4558-8c4b-7424f5054a4f · outbound

This paper cites OLAPH: Improving Factuality in Biomedical Long-form Question Answering.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs OLAPH: Improving Factuality in Biomedical Long-form Question Answering

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.037675Z digest=sha256:56f25c609f202391b03aef8273c3b4142decb31132f7b8965e9e321a5f4e479b

Observation 9ca79e33-3536-4211-bd1b-063bffe2ef04 · outbound

This paper cites In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp

Reference 76

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verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.794617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.040883Z digest=sha256:479389058564014565c8b0838a1f90e887793f00c4f405f5d96a31f24993dbfe

Observation fc7c162c-847c-4a86-844e-29e8ed113136 · outbound

This paper cites In: ACL-BioNLP 2019 (2019).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: ACL-BioNLP 2019 (2019)

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.784490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.043963Z digest=sha256:21e2edb019549a737a0ef68a82b7a3428693695eee60310a7a86bcfc6e007a5e

Observation 3467b2b4-d051-4fbc-89a2-7758815155b4 · outbound

This paper cites Briefings in Bioinformatics 23(5), 282 (2022).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Briefings in Bioinformatics 23(5), 282 (2022)

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.775229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.046916Z digest=sha256:2e04b045a5647b3b5733a8ed5eef079f622805445573c9c170acb70933d857f2

Observation f3241f63-8eac-4cd7-8be5-aad0b9c236b7 · outbound

This paper cites Scientific data 3(1), 1–9 (2016).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Scientific data 3(1), 1–9 (2016)

Reference 79

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unresolved
no resolver link, observed 2026-08-15T23:36:30.050109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.050109Z digest=sha256:17dbfc482668282a9d3fa94a636c3056eb2930180885a9003321bf5f9be3429a

Observation 2fe61643-fdf3-4e05-9533-fff34d8e8f5d · outbound

This paper cites S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models

Reference 80

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unresolved
no resolver link, observed 2026-08-15T23:36:30.053396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.053396Z digest=sha256:264d4f58376e0ebf7a3388311825c74eb8c98d640c825585fe1c991f32cc6733

Observation 54f06b53-9cf9-4d6c-ae64-7b129d81000a · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:36:30.760603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.056741Z digest=sha256:29797413a7abe9eec695afef38d45f7e1dc82865a928f8a46971851663082f3f

Observation d39aec2b-741d-4898-90f3-1866efe71ba5 · outbound

This paper cites Towards Evaluating and Building Versatile Large Language Models for Medicine.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Towards Evaluating and Building Versatile Large Language Models for Medicine

Reference 82

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no resolver link, observed 2026-08-15T23:36:30.059829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.059829Z digest=sha256:554e262d1e201aec37f74fbbcabc96e4bcf56b76ba5b65de814a2757fefeb68e

Observation 097ed675-4265-4027-a019-ed35e7436134 · outbound

This paper cites GitHub (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs GitHub (2024)

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.751327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.063133Z digest=sha256:f1684867fe2b11b00b592938d3c5a1bd33d48a61905b70597bbcc221a406665e

Observation 64a6613e-8fb9-4601-8da7-55733f9aa70f · outbound

This paper cites https://huggingface.co/ datasets/omi-health/medical-dialogue-to-soap-summary (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/ datasets/omi-health/medical-dialogue-to-soap-summary (2024)

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.741756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.066038Z digest=sha256:07fd71eb557dd195a1799551e10c2107bf986ed876fd4229603b02715c4a948f

Observation 329498bd-1bf1-43f2-ae6c-f0d37d4847c7 · outbound

This paper cites CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis

Reference 85

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no resolver link, observed 2026-08-15T23:36:30.068987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.068987Z digest=sha256:9ccdc77fae21bd05f4fab0695d81d6507e64cab52e587bbb4292f41a5b320788

Observation c6fd204b-a5eb-46bf-9c5d-e7b61a504940 · outbound

This paper cites In: TREC 2017 (2017).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: TREC 2017 (2017)

Reference 86

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no resolver link, observed 2026-08-15T23:36:30.073768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.073768Z digest=sha256:f286da9ae27af42ce0e0b372183cc11512f5f4023710c932fca25c00c3cb3840

Observation d7b0f2a3-55ac-4f31-9e56-165456c9e299 · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:36:30.727088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.076946Z digest=sha256:fbd7838e49b37e5f82e9dd70eab7320ecbdc2fd771fa6984b61b8990e4dc205d

Observation e41d3f6d-00c4-4993-837e-69cd7442f825 · outbound

This paper cites In: Cohn, T., He, Y., Liu, Y.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs In: Cohn, T., He, Y., Liu, Y

Reference 88

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T23:36:30.717892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.079941Z digest=sha256:5e75d5496c8adae0a6f2d71c9db7144a4bb2448fcef4fb8d818bd95d77efe889

Observation 8b1999ce-b12c-4891-8456-ad7eb607d23c · outbound

This paper cites BMC Bioinform.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs BMC Bioinform

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.708956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.083134Z digest=sha256:d0c68526fccd38cdb36b89ed8d628e9c10b3193742c1c1699ac0d4abecb8016d

Observation e7b00e87-6ece-4980-974b-b405324df4bf · outbound

This paper cites Cureus 15(6) (2023) 81.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Cureus 15(6) (2023) 81

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.700114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.086002Z digest=sha256:47580aa61897408995b1b6019c6703c8a9bd7ed4802b3cef01dba04738782ecf

Observation b384e41c-43a7-4d2b-ab2c-b4fa143c611b · outbound

This paper cites https://huggingface.co/datasets/gamino/wiki medical terms (2022).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/datasets/gamino/wiki medical terms (2022)

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.691049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.089131Z digest=sha256:5c78a04c0b7224f4405d8772a43d66d719ab2c67db3a0f48d75424fbd0dd4560

Observation 03f6c28a-53b8-4866-86ff-7b65409a0a92 · outbound

This paper cites Scientific Data10, 170 (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Scientific Data10, 170 (2023)

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.681538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.092075Z digest=sha256:0645e3bc047bf642c92c3e1f644a2a841d18d7d28fe97be52ee2fda6586f7748

Observation b0ac0f2d-18ce-4ad5-ac78-134954f3dc34 · outbound

This paper cites https://huggingface.co/datasets/BI55/MedText (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/datasets/BI55/MedText (2023)

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.671926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.095044Z digest=sha256:86dde4bad2d3906b6652d254780ab61875b1f89c5bc20032d97430811fc3f4b8

Observation eb6c6825-dbdb-4267-bfb3-c104f4698e8a · outbound

This paper cites https://huggingface.co/datasets/ ZahrizhalAli/mental health conversational dataset (2023).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/datasets/ ZahrizhalAli/mental health conversational dataset (2023)

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.662758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.097990Z digest=sha256:bb360343d4ab676622875025489d595fd1e3f409e4a49dfaf1d8d368713415a0

Observation 1d50233f-1ca2-4c00-b5bb-83a37edeba5e · outbound

This paper cites https://huggingface.co/datasets/mlabonne/ FineTome-100k (2024).

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https://huggingface.co/datasets/mlabonne/ FineTome-100k (2024)

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.653363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.101114Z digest=sha256:b3312fd9e5b81dfcc6dddaea987283228ea99acfcdb1397dd835d92bdb6924e1

Observation 253c2d8b-e115-4552-86c1-dac6dde1536c · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 96

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unresolved
no resolver link, observed 2026-08-15T23:36:30.103956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.103956Z digest=sha256:947a2670ce8039ffd9ada319ddc5a314db3db5f7c9b1efba466be3128e5978a0

Observation 40dbdf0b-2e8b-46d4-996c-2ee931e64701 · outbound

This paper cites https: //huggingface.co/NousResearch/hermes-function-calling-v1.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs https: //huggingface.co/NousResearch/hermes-function-calling-v1

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:36:30.643725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.107880Z digest=sha256:2ffc803c26b79a57ebdd5771dd801745c06086de188b041298717d28d77acb04

Observation 0c51e6ce-964d-4528-b4a5-1894473f614a · outbound

This paper cites an unresolved cited work.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:36:30.634335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T23:36:30.111110Z digest=sha256:753175be82b000be64b29faf1e6ead061f9f0dc2aa92571008a18870ad90285f

Observation 35d074a5-cca2-4cd9-b53f-c3c0c1d1accc · outbound

This paper cites APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 99

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unresolved
no resolver link, observed 2026-08-15T23:36:30.113968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.113968Z digest=sha256:da669dfc1b563163c8ad7ad6d70d9ac53140b0c6197c16cc679aa7b3ca4fded0

Observation bb78f947-6382-40ba-b308-a8e9bd20932d · outbound

This paper cites LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T23:36:30.117264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.117264Z digest=sha256:516e4438e82235cf60d80f8f95feeb6855ba7ca8d61fde2696e41c81de61c310

Pith citing papers

Observation 09ca6364-5c38-44d1-8524-d7c20ca2023f · inbound

Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control cites this paper.

Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:26.073667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T10:54:56.913970Z digest=sha256:27dc245d23ef76e26b84e47675088b64fc12b426d6f27853be53ea8b6f883d8b

Observation d5ffa764-34c8-41d1-b4fd-06655fdca837 · inbound

Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control cites this paper.

Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T15:19:17.815537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:19:17.815537Z digest=sha256:6a8de9bf8ab70842e631a337f5b1b83a0fa9c9315e669bb9b6180cdd59c170b0

Observation c3786da6-5b01-440b-93fb-482df9d6f9e9 · inbound

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:08.461931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T17:02:20.836208Z digest=sha256:c745c8d926881deb33f55df7d9ac8d0d65a86310c0f54c9cb50ed612d1d86634

Observation 619628c9-ee7e-498a-9e3d-1337690564d5 · inbound

SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation cites this paper.

SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:23:24.336014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T12:18:51.069455Z digest=sha256:b31c2dd24da32429e4209a833ec7b03481bf9d50c056a089d782c94ae3f31097

Observation 0c789613-6a89-40de-8d7f-7b5c475bd9e3 · inbound

Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models cites this paper.

Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:30.140744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T10:19:20.891082Z digest=sha256:4aa784fb9442db66d22f3f2bb5f99c3584ac5afa00dcbddd0481285c30e91fc9