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Paper Citation Record · LEDGER

Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.03687.

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

pith.paper-citation-record.v1
2503.03687 v2

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:10:46.408433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T02:40:56.928775Z

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 293b79a7-c152-4fdb-935d-db2aa359572f · inbound

Fine-grained List-wise Alignment for Generative Medication Recommendation cites this paper.

Fine-grained List-wise Alignment for Generative Medication Recommendation Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:40:56.931537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T02:36:35.053784Z digest=sha256:5aa750ce4b8c0876b26e92f0e645f395a749c29cbd5b9a375f421abb04f212d1

Observation 74defb71-32a4-461d-a626-e10bc5071c62 · inbound

Medical Reasoning with Large Language Models: A Survey and MR-Bench cites this paper.

Medical Reasoning with Large Language Models: A Survey and MR-Bench Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:25:26.783553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T10:21:39.892271Z digest=sha256:c020854039b69b3901497dece70b1e121498aa5b8e4ac8a1a39af50ad36c6ec1

Observation d7a996fe-4052-467e-aa19-5d65b01971f6 · inbound

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation cites this paper.

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:09:38.814951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:08:53.361260Z digest=sha256:c290a453817fc26ea4fb115810c92bff73970f6c974e2ef409ddd5f79f1172da

Observation 4370e6db-42e4-4191-9be5-95547512ca5d · inbound

Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models cites this paper.

Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T09:10:46.408433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:10:46.408433Z digest=sha256:9729ba559a6f7b83dc7da299d3c2af2b3c095a00454b850f28f5dd256266de65