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Paper Citation Record · LEDGER

From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.16273.

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

pith.paper-citation-record.v1
2504.16273 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:03:39.320592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:15:47.933580Z

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 0183669f-c079-460f-b6eb-26681efb02ca · inbound

Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild" cites this paper.

Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild" From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T20:03:39.320592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:03:39.320592Z digest=sha256:58071495d3170c7b132f2a6cde5ed795f80d4577272e6827bec30f9708c8d898

Observation 68474f01-04e7-42bc-bffe-a6ad68daebdc · inbound

Can LLMs Rank? A Tale of Triads and Triage cites this paper.

Can LLMs Rank? A Tale of Triads and Triage From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:15:47.935157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T04:06:35.999898Z digest=sha256:1f87e6592a3a1ac797d7059c6c62d5252accc458bebabbeb27affbcfd8e9038c