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Paper Citation Record · LEDGER

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15264.

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

pith.paper-citation-record.v1
2412.15264 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:26:40.767751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:26:06.731145Z

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 9e0df14e-efb7-4a17-a8f1-1ea7867b6703 · inbound

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders cites this paper.

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T22:26:40.767751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:26:40.767751Z digest=sha256:5e43e81cdbcc9b2e27163c82230def37a62c086d2d1d3f46601f30e3146531c0

Observation c6889b5c-dc7b-41c0-96e1-a752587b6aa4 · inbound

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities cites this paper.

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:26:06.735669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T22:26:06.457501Z digest=sha256:e75e7024c11361fae52e07c279e68cd4185429755455859ad9bb3b94cc5584b8