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Paper Citation Record · LEDGER

The Aloe Family Recipe for Open and Specialized Healthcare LLMs

As of 22 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 2026-08-22T06:32:14.747728+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=sha256:8e6619d5ce7561bf9b37521330acc3153a7e5e77071db691e96e165888f9bc9b

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:e02abbc4a01c3a2e593e8e88f091bbbba8f58bd0f9b488062d7432b78ec6d185

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:a447dce49d107f20bc67fac2e3f0def65580c1e86837f6328d80d6940df4e6fe

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:e516a752bbc854882ed82d7e329c7cb72eea6979eafad71fd4023b076ba377e7

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=sha256:12780f071c3bfdb28b2df69619b52fa7c2839370bd31fa57d49a8929232f674e

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=sha256:617a3add0b0adef5757589a52284796551cbaa4b4dc28bc8400a82ac718b9aaf

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:fe90b9c8abac714c17b1766551da84754dc5a07a737af67d83ce4f250ce4f272

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=sha256:121051637612727885a88181abfa293aa62a38c74dca22092a0adacf1d48107d

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=sha256:94985ccee45f44649d663583166bec64dcefceb45e4841af55a16a169af8c3f9

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:e24ad7a3953fd303562eb92228f294b44104fe7a2854373d1d24fcdb423f3727

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=sha256:61d537933c6f4def5325335132dad62708cb48fa1273d9cf827409cdbaa029ba

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=sha256:36ad9aa7e9b341db3edf3bec0b5bd556657dd7ece4a6510607432760602d1120

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=sha256:617e5179e3130243205ed84f3ec35485ef7bf32bf07b621883d8a358b529d4bb

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=sha256:74b80e4d9ab17cce7d65390f4b7ad99af316d0b2e8ea5d0f35f7eb2beb4d57fc

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=sha256:1b1f8837b68aeeed155f3264ce68f0672f1b9171d8c54b2a524418b671c99b27

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:d35c634b26eae57d0970573e3b4d11902ebf3ff3d5f8b69a9066e479268c6518

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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source=pdf_text observed=2026-08-15T23:36:29.846678Z digest=sha256:53011bf0ce64d7b355a2e5ac807fdab17b8933417e6258bc1817f20637328998

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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source=pdf_text observed=2026-08-15T23:36:29.859968Z digest=sha256:1697daecf3c0a77185bb19c4499826e84be7b2c0adc8cbb71551cef8e1fd4416

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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source=pdf_text observed=2026-08-15T23:36:29.866017Z digest=sha256:6a7b381561c3b84e134a7d71438a907e17dd6c50f1cf643e5907e98d2d108587

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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source=pdf_text observed=2026-08-15T23:36:29.885428Z digest=sha256:1a88497ba60d52f48f4f9d933e012ada2d9ff6270e1bea91e8e157e226e31e99

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=sha256:8eaa5ec6cbe9e777f2190f6c31deaa4666b440042de42bcf3c89d975311d7e70

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:b04b85949864cc2be0e263c3771e1aa63643d8b4bcc86d07da8c56bb2595522f

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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source=pdf_text observed=2026-08-15T23:36:29.899318Z digest=sha256:0ed3d5cbff6fa43e72dbafba1b29995d1bbe3b12c1a5040871284c8b70afe549

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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source=pdf_text observed=2026-08-15T23:36:29.902378Z digest=sha256:fb9dc3864a5a181743b7c0aa3e896bcad938b09e083239f3ea523f1b1893e70a

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 2026-08-22T06:32:14.747728+00:00.

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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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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=sha256:6c56a857271514c38db138011e807ccd394356f4d0ab5fb0c93e62c81b5cb032

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=sha256:8d8ec8f1ee8a3b67d7503e7d1e847ba53f7c716b77743311138ca343eeae1330

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:bf7fa6029679e729c31184b9d9a158d611ae72d7df16edf39c7498643595ea39

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:f44467f65754148ea88bf26190ea6cff9973449342fc27fe2564bfad61ee9e80

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=sha256:9817abe2628b093ca697067740eff72e4e98fe844e37343adeb9d056b0e40653

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=sha256:8faa9146893400de75a98646407cce80b2721de7d288a45b4144303cde370770

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:29.943838Z digest=sha256:9cf668c81f492522ebd06519401720c86c49fbc65eebe4c9c272c89df29c05f2

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:ee3e645abce51d417d73a5224e4a1c1186259f667c25d1c4584a7db3372953c0

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:a2ea00c44071108d3c6232c4896545511df6dc547c088fd3736d597ace626c21

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=sha256:7d60412cefcf6f5d15ab32ee595727f930a22af52dcc435338218bc310ebf5ba

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:29.957872Z digest=sha256:2b6f270d5b447d59f012cf8afaf914f50dfe15ecc830664817e72fda328154ad

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=sha256:3aba7498d17aa6776245b91819b84b732723e39590479b2945152f2dd15369ba

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:a8cd2a141579ee5abccb02fe27f39be0b0edb1e85d65382c703e6b91230c5fab

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=sha256:503ba024e06e0716c96d9cc39731c760ca6114fbc868f5e857ea7d6359b8254a

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:fc956517b32a469a9961ad9505c2f11abcf7425454d1b3bafcd070e55fb64da3

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:aa489a693c1d80f889206c88f8b9e5851d272f7177cbb6f64bea8291de625ed3

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:f184a0456c4534af9cd4a7cb2e710b7f5e4a0d3e30ee1a3952e6484bcdab93ce

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:29.980839Z digest=sha256:aee1aa941c55d30afb0b2ab2a2645bbadae987bc878e36e4985805398fde39b3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:29.983703Z digest=sha256:17b39f3f8fb84b70546708e8bb17adb0f16b124b637471aa7edcdd973ad9f841

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:29.986698Z digest=sha256:a66e39e914a08697899b4cb1dca0e83d7a6128ee20548049b78054dcc98fb5b2

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=sha256:7d9861701328614352fc0579d0331a60061dedcc78698772fa782c6c88e074da

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:29.992953Z digest=sha256:fe31b781381319dd9caed87fca4d56dad46b4d812987423f7c9013b7718b7974

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:b9ce831c2c81c67d3df7526f61998a5149e5edf931dd4a016d87a7784ddc34d5

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=sha256:5ea263eb15eca187aca2d2e2cb0b166c7f83cd17f32daddf1a0bcf670706d9ae

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.002658Z digest=sha256:6ee97e84a1d36c84a5483a3998687835e0df285345aa714946df7f4ca9ec92bb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.005886Z digest=sha256:8df6e132fc6852b3cd457e7c6d30242be4fe02a90e08b6d2a51e2f265c3a37cd

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=sha256:669d14ac5244dcf1e4163886751569f6cc3bc418fcee3d6af84a2b6586faf15d

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=sha256:4e90f96139c7604ac34b7016ac76feea6078658314478da5566ee6f69686cf7a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.014917Z digest=sha256:bd17bc8a7c93effd4bb2ef62181fe6d83fd02997130158440cb0b5e05807252e

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.017804Z digest=sha256:e4c985886a430b5194f0e323ca09801951e5f71bcc065c2de51b33c39ac1b8dc

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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Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.024034Z digest=sha256:3b2af3c3c9dd09a99d5bbef9d70834c592e1a4968e69caf6f233b70b77c5483f

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.027833Z digest=sha256:8e869209f567de07d33b860ebcb453b65a240875bedaa02f074ac91439f76b2c

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.031178Z digest=sha256:66fb6e3e2beecc4537d8bb7ce863e9b366b3bb87d108595ba11cba823fc53252

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:30.034285Z digest=sha256:5b8e5d3dbb830ea1629da3f1d34d11218b077e80aa2ee6c5ea9d7b7e90342de8

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=sha256:425a63ac559d979a026c59049e3b7f279c88dac05fb36b93b2a1568a23453ef2

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.040883Z digest=sha256:2f3843d4aa94c05eaae059c07386e335fb73c68893161385e75cbed25b665c65

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.043963Z digest=sha256:9d8062a8c785547c5d7b7180c9b4da67a5b633522d7a2aa71e88ab7a4fe71bf7

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.046916Z digest=sha256:a3b36f1c63579fc7f8fb3f6d70b38b2a2a5c96833f9c5595ba4494e3322e5980

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

Resolution
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:aa88608f603eaed27c728ab65ddcfc204e38a321dbaef104d7970752a9883d29

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

Resolution
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:f604a4e30bd422a1f859da034c0d34bc1ad341b847feb75c46cf4aaee7bc7a61

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.056741Z digest=sha256:c89ae819d6efc1e91107cca0667d807e6ef171636a8fdb7afed78cefd297983d

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

Resolution
unresolved
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:a75b69c41dc961441bfd23d8176e9e8a2c3e9fcc14a61b91241e4662dae5c88d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.063133Z digest=sha256:b755476cef5136e4e763ebdb8154907e52055e4862c42118c0578c892ec85f9f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.066038Z digest=sha256:d61cc3c579ca312cfec4609a27f113c5c514d3204fe21c154491d5e7239c787f

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

Resolution
unresolved
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=sha256:8f5618cfcbe836bf64c0a0af698cc6032e83b5e4bf42197d58d1154153d05e80

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

Resolution
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=sha256:24cc8e5070ed22b3252f582744975f6785b7f84be41b4f8ec506cd0c90bb6a5c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.076946Z digest=sha256:9cf77ff5f0771c38e215e1a8809869952a1744e6d0ed611bf7b03cefac38ac2e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.079941Z digest=sha256:9fc3fcd65e5b3842d12af74657fd23981325d376c978db5dc429bf013fa8482a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.083134Z digest=sha256:1f802dc03122e797b2f82c62e86e9834f8905ad4f1e0657f8ac07ed5cc6e4c44

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.086002Z digest=sha256:c2796a114597ddb53b1280427cb1090bb4d77a24d74e8c25d98efd9b449f65c6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.089131Z digest=sha256:833a8d2e83226159a4a61bd1e8689ef4fd6fbecb1ef4208d9e0837a256e0c145

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.092075Z digest=sha256:02a900c9fdb7fbc0283e7f06add9c7a09e30787b2d31ff321cf065f1028ba47d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.095044Z digest=sha256:6453ca9fafe9031d4ae5e8558a1535e5034e16707c480e2abd452cb112f48618

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.097990Z digest=sha256:0a3bb0b50944def935e7ef8a222bef2e5fc199557784be0652db31dfe7c12710

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.101114Z digest=sha256:1b82cccdae2a57b125b7904d065d83ca1c3b5ffe024a226153d557936aa877b3

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

Resolution
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=sha256:13a5688d5ca865e6f9896d26ad9c2c74159ccb22ae6769f040b891c4d636adff

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.107880Z digest=sha256:274cb65bd545551687684bbc72211d81b4270b417080c25431d46e1a9f600207

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:36:30.111110Z digest=sha256:e9d1cf2e9be856eae14ddeb73807812cca597a2f96b720abe9102de39ea29c34

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

Resolution
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=sha256:6a9cdc2d020a56916b51244ba80dd2169ae9240ffce5b977fc4ad5c163cc4e8a

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:b05caa12d0f4aa0acfd98ecf2747a14edc2d28b849166bb365ec000b3182a195

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T10:54:56.913970Z digest=sha256:7ba74bb389f8ad89a7b78963c0074bb4edd20afb6fc469f0b8ee294a03c2034e

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:c7c1d1ac1387ad3818a0dc5331e7463f6415dfbc3481c952e4449d8bb92bd8a5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T17:02:20.836208Z digest=sha256:40260745339c95198a78a6dc78c0baba658c21ba722271f570da930e84b65460

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T12:18:51.069455Z digest=sha256:a1005da572d489b1ed8487696432912d63618cf3cc37f595881e4aae2772f35c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:19:20.891082Z digest=sha256:3100a50508ba3b26720c38c3ab3691f2f64d173bd30a8b49e23caf95a685240d