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Paper Citation Record · LEDGER

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.16040.

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

pith.paper-citation-record.v1
2402.16040 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:16:35.238118Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 273eb29e-4070-495e-9936-6edd523bce36 · inbound

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models cites this paper.

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-12T21:16:35.238118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:16:35.238118Z digest=sha256:fcc0b2d0e4f73fa689ffb2cc817acc205e420f6e494b1997348c810bd531e8f7

Observation 8d2d1c1e-d381-429d-8875-495f8f4069d2 · inbound

Evaluating LLM Reasoning in the Operations Research Domain with ORQA cites this paper.

Evaluating LLM Reasoning in the Operations Research Domain with ORQA EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T06:01:13.316678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:01:13.316678Z digest=sha256:1e928fcd84a7de500e7a32726d077422b840c7c0a44b0ee49190d8e2067387b9

Observation aa3c9ec7-2e96-4546-9aee-3b9e10633cc6 · inbound

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters cites this paper.

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T05:15:41.548826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:15:41.548826Z digest=sha256:b88952d8f98ceb394d2ce8ed33dd099ef16410513a9f97d939e494d9399b25dd

Observation 5fd0c8c5-c7ec-47c1-a295-73e160d0d0d1 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 170

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.076359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:318e32f7529527f299722e97d37d6bdfb5d9ede0f84c2f67c8c3a7b3ffe1f30e

Observation 00d494d8-ff1a-4efd-9d5c-2cb024a916ac · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T05:31:54.962967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:31:54.962967Z digest=sha256:dfdd63e6776e0f5ee986ef1121e505b5cd12c7ea0c3459d279f8be91b4b53f64

Observation d81d0800-87ec-4cbd-a9c3-9d20d03f7734 · inbound

Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text cites this paper.

Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:59.517829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T00:23:55.654447Z digest=sha256:df27b388c666bc621aee540122a1afdf4ad91e7c904b28065f565c0c93662ab4

Observation 3a4b28c4-bfa6-4d2c-b10f-eea813f3b546 · inbound

MedLoCoMo: A Long-Context Multi-Session Medical Dialogue Benchmark for Large Language Models cites this paper.

MedLoCoMo: A Long-Context Multi-Session Medical Dialogue Benchmark for Large Language Models EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T12:42:24.413406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:42:24.413406Z digest=sha256:df22e324ac03250713988892d0a06f46627fab9d6f4195720fd24ca862a4e388