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Paper Citation Record · LEDGER

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.00631.

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

pith.paper-citation-record.v1
2407.00631 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:31:09.271658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:33:25.776662Z

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 def340d2-a872-4d8b-be59-58e2187b84c7 · inbound

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design cites this paper.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.779004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T20:30:04.338912Z digest=sha256:484052a59b91b570465c34ad3a93833a73b4d944681fde26e9f7ec367d453f22

Observation 6756a27e-46b8-4dbf-b06a-10668d419692 · inbound

$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials cites this paper.

$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:09.271658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:31:09.271658Z digest=sha256:74b14cfdc7459effd3079c4497bbfc05bbc2edd43f3b79c2d1f9efa3ccc5ab3b