Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:10:46.408433Z
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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.