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Paper Citation Record · LEDGER

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2502.00832.

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

pith.paper-citation-record.v1
2502.00832 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:36:27.872732Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:56.932113Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:07:57.902468Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ae9ac28-5f51-427a-a48a-71215a213547 · outbound

This paper cites An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT

Reference 1

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Observation f4362790-c4a8-4284-a762-1b017d8d1a85 · outbound

This paper cites arXiv preprint arXiv:2501.0137 7 (2025).

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision arXiv preprint arXiv:2501.0137 7 (2025)

Reference 2

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Source-reported events for the cited work

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

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Observation f33962c7-1df8-42d1-bfe8-d1a2fb511c8c · outbound

This paper cites The Role of Language Models in Modern Healthcare: A Comprehensive Review.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision The Role of Language Models in Modern Healthcare: A Comprehensive Review

Reference 3

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Observation 3c01db27-83a8-4a6c-88f5-ff3c361a08c5 · outbound

This paper cites In: The Thirteenth Intern ational Conference on Learning Representations (2024), https://openreview.net/pdf?id=N1vYivuSKq.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision In: The Thirteenth Intern ational Conference on Learning Representations (2024), https://openreview.net/pdf?id=N1vYivuSKq

Reference 4

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Source-reported events for the cited work

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

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Observation 13da92a8-bd5d-47df-b899-f647de9db952 · outbound

This paper cites Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models

Reference 5

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Observation 9c169795-4277-4694-921a-ee461003c0aa · outbound

This paper cites In: Findings of the Association for Comput ational Linguistics, 12 R.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision In: Findings of the Association for Comput ational Linguistics, 12 R

Reference 6

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Source-reported events for the cited work

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

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Observation 0aeb7451-6ada-46a5-b986-4c39d2b8af07 · outbound

This paper cites Large language models in healthcare and medical domain: A review.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Large language models in healthcare and medical domain: A review

Reference 7

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Observation 0ca6ca16-0d73-4629-a127-2d83801e967e · outbound

This paper cites InsectMamba: Insect Pest Classification with State Space Model.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision InsectMamba: Insect Pest Classification with State Space Model

Reference 8

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Observation 5756a055-5818-436b-ac7c-110a4529673f · outbound

This paper cites an unresolved cited work.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Unresolved cited work

Reference 9

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Observation 7afe5c70-3528-4442-9682-53b885057976 · outbound

This paper cites Artificial Intel- ligence in Health 1(2), 16–28 (2024).

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Artificial Intel- ligence in Health 1(2), 16–28 (2024)

Reference 10

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

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Observation a64edd97-390f-405e-83f6-f7a80a8ae4ce · outbound

This paper cites Thread of Thought Unraveling Chaotic Contexts.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Thread of Thought Unraveling Chaotic Contexts

Reference 11

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Observation 9eec0639-4720-4f67-ae3a-c46e957b70ef · outbound

This paper cites In: ICASSP 2021-2021 IEEE Inter national Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision In: ICASSP 2021-2021 IEEE Inter national Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 12

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Source-reported events for the cited work

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

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Observation 91eea4ab-3697-4e3a-afb3-dfe79d1195e6 · outbound

This paper cites Lost in Translation: Large Language Models in Non-English Content Analysis.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Lost in Translation: Large Language Models in Non-English Content Analysis

Reference 13

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Source-reported events for the cited work

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Observation 3507f77c-00b7-41f8-9fa6-32bdced86171 · outbound

This paper cites Cedille: A large autoregressive French language model.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Cedille: A large autoregressive French language model

Reference 14

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Observation 44d32435-9374-4bc4-ba3a-1686b99b39d0 · outbound

This paper cites an unresolved cited work.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Unresolved cited work

Reference 15

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Observation c7e179fd-90bc-4814-b6c8-42786ac58b6f · outbound

This paper cites Goldfish: Monolingual Language Models for 350 Languages.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Goldfish: Monolingual Language Models for 350 Languages

Reference 16

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Observation ee003a85-2868-4201-af94-d4085b8a093b · outbound

This paper cites Advancing bioinformatics with large language models: components, applications and perspectives.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Advancing bioinformatics with large language models: components, applications and perspectives

Reference 18

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Observation 9336193d-d47e-4c38-9151-c6655bd8b808 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting o f the Association for Computational Linguistics (Volume 1: Long Papers).

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision In: Proceedings of the 60th Annual Meeting o f the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 19

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Source-reported events for the cited work

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

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Observation b3ee68f3-ab56-42fd-93cd-caa23d0fa5ce · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision In: Proceedings of the ACM Web Conference 2022

Reference 20

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Source-reported events for the cited work

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Observation 90cac5fc-4666-48b0-98a5-a4818512f9c6 · outbound

This paper cites ICT Express 5(3), 182–186 (2019).

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision ICT Express 5(3), 182–186 (2019)

Reference 21

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Observation 80fc8728-6256-4520-bcf7-b496ffce5757 · outbound

This paper cites Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics

Reference 22

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Observation dc805ee4-6115-4328-aae0-e489662f8d66 · outbound

This paper cites A Precis of Language Models are not Models of Language.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision A Precis of Language Models are not Models of Language

Reference 23

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Observation 08227c9d-5e53-42de-bc13-1fe629358212 · outbound

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Generalization of Medical Large Language Models through Cross-Domain Weak Supervision A Survey of Large Language Models for European Languages

Reference 24

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Observation 63a4bc9e-949b-40b6-bb84-7c2b277b409e · outbound

This paper cites Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models

Reference 25

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local_arxiv, observed 2026-08-09T17:36:28.027392Z

Source-reported events for the cited work

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

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Observation c04f979b-5d03-4491-9b1e-f93dd01b8f6b · outbound

This paper cites Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding

Reference 26

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Observation 2f2cc1ba-25cb-4724-942f-075b93b1a499 · outbound

This paper cites LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration

Reference 27

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Observation 6542aa70-a055-4dba-a62c-b905f1cf8780 · outbound

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Generalization of Medical Large Language Models through Cross-Domain Weak Supervision MedGo: A Chinese Medical Large Language Model

Reference 28

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Observation 9c44e8e2-4920-4a7b-867d-393199847498 · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 29

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Observation 340740e2-6d3e-4a48-af5b-6d1c368a319d · outbound

This paper cites MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding

Reference 30

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Observation 7907cabb-9e4d-48ca-a575-4f7dca7ff5ea · outbound

This paper cites MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts

Reference 31

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Observation 553befeb-911c-45de-99ca-03c5e16e1e82 · outbound

This paper cites PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Reference 32

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Source-reported events for the cited work

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Observation ed0a68c3-e9ea-4742-b766-6bdab70c563e · outbound

This paper cites In: Demner-Fushman, D., A naniadou, S., Miwa, M., Roberts, K., Tsujii, J.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision In: Demner-Fushman, D., A naniadou, S., Miwa, M., Roberts, K., Tsujii, J

Reference 33

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raw_fallback, observed 2026-08-09T17:36:28.517930Z

Source-reported events for the cited work

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Observation 50ea6496-4eb9-4dfa-a56d-f33e4950d64b · outbound

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Generalization of Medical Large Language Models through Cross-Domain Weak Supervision COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain

Reference 34

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Pith citing papers

Observation c9bb6f08-cddc-435a-8e5c-f8a4a7169ef3 · inbound

SWE-Bench-CL: Continual Learning for Coding Agents cites this paper.

SWE-Bench-CL: Continual Learning for Coding Agents Generalization of Medical Large Language Models through Cross-Domain Weak Supervision

Reference 16

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verified exact
local_arxiv, observed 2026-08-07T04:07:57.938928Z

Source-reported events for the cited work

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

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