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Paper Citation Record · LEDGER

Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.13950.

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

pith.paper-citation-record.v1
2504.13950 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:10.939828Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:57:31.599086Z

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 a6d1740c-1ff0-4826-a24e-ffe0f51b25dc · inbound

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning cites this paper.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:10.939828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:10.939828Z digest=sha256:06b9af3fcce5a743c314a23682014f838c95f7010d7140e06c60438ac77d5364

Observation fbd399d1-bc6b-4c58-ada8-12036029b206 · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:25:55.210272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:23:08.478393Z digest=sha256:b01dd056b4934790fd6098058d83273d534060a224424d2a384355a60c7f96f8

Observation e5e87ba5-58e8-4e9d-9724-f53dde7e8a42 · inbound

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis cites this paper.

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:11:18.592921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:48:09.078064Z digest=sha256:3793619382a693c771c538024157542d3e290117d1d09e519a6bf0d169fc2f16

Observation 1ea07229-8d22-4c6e-9651-d0f44a9602f4 · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:57:31.600304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T18:50:22.827472Z digest=sha256:aae87db5612d2b9cd327956f883621467e8d6a25a67bc3572d0113d80b4923e1