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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=sha256:0b887e080ace301ab661a91359c6df6dacd53faf96a2a3b796beddf9a4a2b1b6

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:d2d390e536fad25bd835945cc7997ff2b4ed730fbfc0aacf89f0a43181d7df05

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=sha256:72adb5df157a37de4e2fedcb4ed28f64439b00efbfd6219436025dd1a100d393

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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source=pdf_text observed=2026-08-15T23:36:29.803357Z digest=sha256:97fa32e63e5cdf36e5d31f1763eee3fa2f3bc43fecedbba6a8b1c2bfd9549bfa

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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source=pdf_text observed=2026-08-15T23:36:29.806905Z digest=sha256:918d0fc95969057a0e2c3fd580328026480c1a5373e40e963fc1eed3cfa8a8c9

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=sha256:0f62bc59ed6f52158fbad407adff36f722b21e5e26d0f470098a7729bee02794

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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source=pdf_text observed=2026-08-15T23:36:29.814803Z digest=sha256:44373697b9362b47b63222ef65d7a906ea9d33c1f3f96a43c6ea7e7cb0dfdbe9

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:d05526d79414abf22ee1b0a1996b66f00cddd80aa2f8bdf1a5796ff1c158b4a7

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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source=pdf_text observed=2026-08-15T23:36:29.821459Z digest=sha256:22e537c5a1e2b2e6eb979620e8e9fc88e792861717ba05db9c3b78c095c47652

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:b4b5c32c8d72aa599d5af29282c02b64af3c05d20fd87eb79e4aeaea98470c2e

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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source=pdf_text observed=2026-08-15T23:36:29.827584Z digest=sha256:d1d58a5f3ea3c5090661c4b65dce27763aff746386544ba1087b1f1dfbf5ee9d

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:a9db4078d40a1b4e684676fe44e2616d03dcdf661221dd5b8f46d62847187969

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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source=pdf_text observed=2026-08-15T23:36:29.833768Z digest=sha256:be3eea31e645d3a7f9d5c81a19c3d6aa725d457cdabc35ef07352984ad27ad28

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=sha256:4c3ecf115bbd94ebc540316e74ccff3f29b077c90068ae740d63e3c0d8f71ef2

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:c3661abdf68c522b2fea35ddd7e23e7473966a0876b9e037f8737530658719e0

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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source=pdf_text observed=2026-08-15T23:36:29.843236Z digest=sha256:edcf4baf1eb78316c0fc1354513e283351efa4cf946f6dbb8f12b24100425839

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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source=pdf_text observed=2026-08-15T23:36:29.863072Z digest=sha256:7b7ed9689e2476a95e6de48b2d6f12e7454d17c915ac940801f16efa49da8136

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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source=pdf_text observed=2026-08-15T23:36:29.872576Z digest=sha256:bdf6419c81b514ad0d2bbb0b2d3620eca1e99b6c8a395d54e90f1b52675839a0

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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source=pdf_text observed=2026-08-15T23:36:29.892348Z digest=sha256:66d29a45804b85935fb8baa8065e98ccb46b1e8f7bdf7b27ba2d7a7fa4ede4ee

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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source=pdf_text observed=2026-08-15T23:36:29.895636Z digest=sha256:ed04768c04843d3ce60f21e8837463925a8a198697fd0f3d0b062b443a6576a3

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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doi, observed 2026-08-15T23:36:30.153194Z

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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=sha256:458f2dd585d55b9b929be66c793b4f0116e33dafd7f26b75acf8149bd73a0323

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=sha256:8579790511f4b8c8b06110f2994bfd92253b03b16febf369f058289f6f58707b

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:c8fcc4eaf1125bb640b799898f5e1bb0459506c629beeb4e5bc83afe4523016b

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=sha256:6cfee8dbeebbc0d51642b8a19c203aec297af2d14b457f34bc9d17f171e651ad

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=sha256:1e89d2ff897c951f27408ed1a126891ee47d6628c8a00d9dc955169ec3a006bb

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:c78698daf339396b36958a7d44248a02d255ef65c91839549e4177a09fc0aeda

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=sha256:0f999b975fe79c38bb8ee4ab01f5364e62bdac27e901fbfe1aaa401d542cc4d6

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=sha256:0ed2f5dba00c47377272c0face4412251f5916c17a1b44490cc68d680829ed62

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:e4790a8a7737836ee774df2e3e2653905208e69f31586a306ebf951c68fe068b

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=sha256:7558aa42323f2fce14d30450b8e467efcfe3315f836ffbdfcce3377d857cbe1d

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=sha256:5bde2a6751bd4edc424eec2256843e7abfbec716d39206196c631bde85729bda

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=sha256:6ff8720ae1cf1899bcd848123987719c2aee8e0f5f448203e4764c6a46a6654c

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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raw_fallback, observed 2026-08-15T23:36:30.991400Z

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source=pdf_text observed=2026-08-15T23:36:29.957872Z digest=sha256:02f0d54889a95c72c818911899968462f0fa5cae065ec431d9bbcfbda39bf236

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:f5b04b66135b550fcaa823fa64031376ec98cb29d1170ea04959906542aa7920

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:e2c3727d0ec3db74000ebe00a7fe1964bba2dc3102dacf3831a5db98d9290c8b

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=sha256:6a0b92fbd7c6ff6f800aa21c3a89dff867c9efda83781e93297eb731dd2f2780

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:aa3a8bdc90e6352148ec74182da6e993efe1470f4fda32887d6fcd20438927eb

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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source=pdf_text observed=2026-08-15T23:36:29.974233Z digest=sha256:37fdc517709eb56e21c5c9c7338dc45eee69eb7d2a7997a5f21cbcfd33becfd0

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=sha256:816293027c77f74e83e7d837f223bb6f38101e34eb85de131245cff1de36e0c0

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=sha256:0dcc5da19ad57b984bf24003d2778d4bd6da1d5a511ee1116a36bf8329a08a14

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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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:df70971940f95ec2487a7ded5a911784287a77b740ebbc013d5e700ce9a350c4

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

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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:cad1b6af68f7105e557709450aae73a42aa2d4fef1de2118c7d7842b2bff5b00

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=sha256:019551d1ddf8bebc5fa05d9b2bafd066204d6316182764b38654ac83233c4f82

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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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:dbe672e7d0d028dcebd8cd41d0ec5e1330fcaa5dbc23552d93826c85653fcb30

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-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:36:29.995904Z digest=sha256:21753f9e5f8c0dd99e6ab10bc47afc96a378b4c30c9d87c58ae1afffd83cd8ab

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:f941fc9f43a06c19a97ea6f5845d9ceadc18b7e90eecfb7c2cf5912f9a89c340

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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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=sha256:6cb92562ce06e5be846eda0ec282162917b8d3f61d88a48f1e8843dfad4fd514

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:a982dc91ad179f82599a729b8cefafb0f7a5732c09dbf1b63fc1cfccd28bd093

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=pdf_text observed=2026-08-15T23:36:30.008868Z digest=sha256:7bc1932e78590198d6b79d0426b664007ac93063837b8d27302d47da887697d1

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=sha256:562fe3e660d423aa1b2a7d4e9bd5944684fcf6075748cdbf86095ad9711bd1a7

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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verified fuzzy
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=sha256:7144659595cb62fa74ecb15bad3a30f504a046b266f6287a0c261ffaf3ce5a15

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=sha256:9208ee3fba35fd4fabbae0117eb208feca9ec535bf258f4248011ed65b6b90a0

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=sha256:6b3f274b9cc51f2fa5872ca5bf269f2fda89b480fab02359f87c45094a538cda

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=sha256:5e1095c76fc81a6573b5b75773d8113e08a6f07fb53bb20124c9b8125414b92e

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

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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:b95c52a51a78ad1cdc0739ec49d48127ac264fc0696e843d0a7ee56279ca747c

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=sha256:3701f6db4fbb51e7ce9354a7674c93eabfb51cb24e2fb8901db6d27e44425d45

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=sha256:0c9a7e6f68677a6d55d5849fc29027048b8b9d6c1ffeae6782cc8886b5f2670e

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:bf8a9a07101dfc85a0ebd23b1d4c673ebd844f096c572007d30e7fd9b6ef37af

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=sha256:84aeb589ff616678c59abcde2d5a8c7d3676bfacad24dad26105e0f8cce7750e

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:bf0e1fe24e4bbd7072682d7722d37a906fc7b3829910f26e894dddb82ad23010

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:e2345c72fafa8b89fcbe55521b2fa750886a61e452afe2fe540b88cfdacc5c71

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:f0a936b1ccad374757a486abe56d57a9e9f22322fa14589640ca952110010d3e

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:b37c5317fa34d3d916d18c766cd082f99bef521c5811a8ba1addfe82c5276890

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:e37047daa8486957c9f4e54f5f97f0cf5106aef9a825adcb77822e1e4233e500

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:f014b9378abb58ca9b483523d8f63534ff2a7792f94ea756b2659cec3825a6cc

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=sha256:17f5c4e53d331c1cf5740c13f50b6e2158140d6d326ce278af58d95f413aad6c

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=sha256:145e41561857b14bb9b55cd28698cd2dd44cf462a7eaf04196bfcd97c689a4ac

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=sha256:32c75b5eaf955b6206bb8f84421a24060b3f748c951ad990e8ff01c224679afc

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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unresolved
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=sha256:3d53c406f76ad3700d29304a121e73b2f480c305b8dc410fd3061657c71f886d

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=sha256:73319b6c507940a610b869e05198ed33418259b4dd615a2daf6095dee054145d

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:ed0ca538df0b893f21d8fc719ed4ce727ec0f5e229a4b041cf9c14f6e5c14ab1

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=sha256:409d23c009097ee08f7701941637f88cb905fe3287ea9e92d48f3ada4274b4ff

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=sha256:9c4c9e3fcf3c4b02409c094cc1f06853143468b4928dfeb55d3e83f1e07173ec

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=sha256:7d0134122acc4c2dcf46145b01d54b322a24875f67d5cdaca14910f55510a43c

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:efedcf92f183a7ce630d07f548c34ad89ead1c830abe7c71b37dbc2b6b768985

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=sha256:901c06f929680a04db100bfa70984118add96e6cf78689558a57411d6ac71fac

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:a7cb280c06db9b515f993c110dc2392f6916bb22a2219a753c9e676c91feb080

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:c75921b92b7912d1aa0b66ebded9d35c1a75c09fba92f1df36eb4ef213adabd5

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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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:f1ab5851bf426468d45c943e93426f18d89f89d9337e3094e3550a1eba8f0225

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:a64151609b3f552aead6451dde1438d51a9da892bae22a519514a5e866dc5922

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=sha256:3c8bc799c54b399d206b4d652689a90c344a1f63c6a4c6fb8d907a7a09204ac7

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=sha256:55431f30868f82823f5a3ca3768140d3a616db2a5e4a43df5b2bf29eb3b4e7d4

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=sha256:252c32caa65267be11213787ca692f541c523f2171c13f0191b829c25b37f32a

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:eca35a0c07620bce374ee46268d60fb2eaef477013247a273c0b843714dcfbc2

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

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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=sha256:5578204777de1fc72ac58904cc301b1531c52ece23d6e268500b91ebcf151264

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=sha256:4a892f03fd62f356e42022850f4974cdc32867107de4ff317a746494b94e9d63

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=sha256:879513671674125160985caa6027af77e070de2717df7a0aa2daeabeb0b14725

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=sha256:8f33d28635aff8705f754e46971e318fbbdab9d904aa48e0b994e6621db94dc2