Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.01301.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:49.443992Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:26:48.117227Z
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 a6ed6836-8434-42d7-9d4f-2eb33c4e0da9 · inbound
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine cites this paper.
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:54:49.443992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9318127-2341-4721-ad03-7dce26ddcee1 · inbound
Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.
Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:26:48.118533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.