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Paper Citation Record · LEDGER

From RAGs to riches: Utilizing large language models to write documents for clinical trials

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.16406.

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

pith.paper-citation-record.v1
2402.16406 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:32:26.705571Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:02:44.760162Z

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 a8ada8d4-4cff-4c34-8ab5-f5207de2c76c · inbound

Can artificial intelligence predict clinical trial outcomes? cites this paper.

Can artificial intelligence predict clinical trial outcomes? From RAGs to riches: Utilizing large language models to write documents for clinical trials

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T12:02:44.765943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T12:02:44.599509Z digest=sha256:5f12356ba62f5d8b77d4d31857d2d6e9f8aa4222d5a5e21707a80237d50142b4

Observation 6270ecbb-1e9e-44d4-a84b-cac507841c74 · inbound

Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports cites this paper.

Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports From RAGs to riches: Utilizing large language models to write documents for clinical trials

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T21:32:26.705571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:32:26.705571Z digest=sha256:5812e6191db1343adbb2952ca016ef7133f895043915734ef43fb36b9805aa48