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Paper Citation Record · LEDGER

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.17887.

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

pith.paper-citation-record.v1
2402.17887 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

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

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:59:59.368121Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:53:59.396845Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f2d40b18-756e-4ed6-b78e-f6b82d016ab5 · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-08T21:59:59.368121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:59:59.368121Z digest=sha256:5b3138f207eda5b643a9e69b2ce10a1ebcab666c2e0985c5bb9ea3c06e7b5a0e

Observation 001eb42d-6342-44f7-b695-ca61cdeaabe2 · inbound

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching cites this paper.

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:44.210006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:44.210006Z digest=sha256:9c877fd3d94676d7cf3077b4909a0809c605e5825628b7a668049768a0be7c79

Observation 7a870550-04c4-4e4a-a3c1-716001ae2c5e · inbound

HIVMedQA: Benchmarking large language models for HIV medical decision support cites this paper.

HIVMedQA: Benchmarking large language models for HIV medical decision support JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T14:42:18.584585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:42:18.584585Z digest=sha256:9343f3d74b6872f2c19e9c831acc56de9899a4c93b8e0d842bdc61a86e2454e8

Observation f6da2003-cae8-4b8b-a90a-4809008bf7b2 · inbound

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning cites this paper.

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:44:27.192130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:44:27.192130Z digest=sha256:abf8e6a4a269ad69ba83dde81c74fe3e6a238f3c7b527d166ddd456cd1a55d6d

Observation 235a8dc0-77d3-4dd8-b649-ab57df594827 · inbound

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics cites this paper.

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:11:23.834610Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-12T04:32:16.930291Z digest=sha256:7b8d20633b4eb7436f8f5c48f995f65a1676ab1ed271622c9251767d79b4d693

Observation 39f08830-7733-4d61-a265-64a263587187 · inbound

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models cites this paper.

Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:53:59.398592Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-21T05:49:55.738870Z digest=sha256:dd484f067955b4a7ca6f0545c523c45f59448941957309bd555ff064226b10ca

Observation 3ee5b1d8-6ec2-442e-84e6-f0d344b39ed7 · inbound

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? cites this paper.

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 189

Resolution
unresolved
no resolver link, observed 2026-07-30T16:01:42.564669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:01:42.564669Z digest=sha256:bec629932cf44e9e92da3cdce2768aeec0b8617574547e183ef1e57ce5187dfb