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Paper Citation Record · LEDGER

Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.19061.

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

pith.paper-citation-record.v1
2504.19061 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:47:57.706717Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:26:06.760140Z

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 c351cda3-c118-4070-8de3-d99f95a4038a · inbound

Can Large Language Models Challenge CNNs in Medical Image Analysis? cites this paper.

Can Large Language Models Challenge CNNs in Medical Image Analysis? Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:47:57.706717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:57.706717Z digest=sha256:c237e4fbf9e936a5fb013ae66a58684458802ad7565a3a017d5edbe1ee1d6547

Observation bc5692b7-7986-471c-af9f-2d399a6117df · 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 Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T22:26:40.759713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:26:40.759713Z digest=sha256:62569507c16e09f0bb905484083cf9ceab71cf25887af60e69867888a738173a

Observation b5b4f2af-03a5-4059-9b43-016f347b1f5e · 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 Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:26:06.764545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:26:06.444261Z digest=sha256:8b49dca5ab60b61d30feb566b163251a4dd05b8e33aa7e1793bd70fecb4bb25b