Paper Citation Record · LEDGER

Biomedical knowledge graph-optimized prompt generation for large language models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.17330.

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

pith.paper-citation-record.v1
2311.17330 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:56:16.922066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:26:59.000740Z

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 c0fe8352-41e5-490e-9574-c9b06aab94e6 · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot Biomedical knowledge graph-optimized prompt generation for large language models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T23:56:16.922066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2367fb67-d7f7-40c6-8070-c11d285b9d5b · inbound

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection cites this paper.

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection Biomedical knowledge graph-optimized prompt generation for large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:12.719085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7bf5877-1faf-4467-96b1-34f7f8edbd3d · inbound

MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models cites this paper.

MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models Biomedical knowledge graph-optimized prompt generation for large language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T11:08:59.930998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 602bd3e0-a925-4041-9ea3-df95ba946d30 · inbound

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables cites this paper.

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables Biomedical knowledge graph-optimized prompt generation for large language models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:44:42.014006Z

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 8125fe3d-a8c3-4148-9627-047bd2e1f033 · inbound

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs cites this paper.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Biomedical knowledge graph-optimized prompt generation for large language models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:26:59.002236Z

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 55f5a50f-fe70-4ad6-ae70-316667b95fe4 · inbound

Faithful by Design: Evaluating and Improving LLM-Generated Clinical Trial Summaries for Multi-Stakeholder Audiences cites this paper.

Faithful by Design: Evaluating and Improving LLM-Generated Clinical Trial Summaries for Multi-Stakeholder Audiences Biomedical knowledge graph-optimized prompt generation for large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T14:31:03.141695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.