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Paper Citation Record · LEDGER

Can Large Language Models abstract Medical Coded Language?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.10822.

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

pith.paper-citation-record.v1
2403.10822 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:07.575990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:08:15.454025Z

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 be032bd8-70cb-44a5-85ad-cff94c8f0106 · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? Can Large Language Models abstract Medical Coded Language?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:07.575990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:07.575990Z digest=sha256:f6663f1f494c69e00bd6e87cedf00d9abf9465cb716c8469a719b3ee002ccf53

Observation 69d1c72e-05e1-4df1-beeb-21808ccf3df1 · inbound

Event Fields: Learning Latent Event Structure for Waveform Foundation Models cites this paper.

Event Fields: Learning Latent Event Structure for Waveform Foundation Models Can Large Language Models abstract Medical Coded Language?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:32.447350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:16:48.039349Z digest=sha256:2653fdc8b9fe3cb18627ef95e2a2c8220c169e1fa6aa2eb3d11fb23f372dcf1a

Observation 9403b43c-adde-4e1a-8eb5-41eecc898854 · inbound

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models cites this paper.

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models Can Large Language Models abstract Medical Coded Language?

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:08:15.455897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T12:06:33.875494Z digest=sha256:b62b0911f2fbf8ccbce9c669fd8891b453397295922314164561da1588ac128b

Observation df128cb5-cdc8-4a04-9082-5afb892af33a · inbound

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms cites this paper.

MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms Can Large Language Models abstract Medical Coded Language?

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-14T16:31:09.661787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:31:09.661787Z digest=sha256:c4d3757d0a90e4dc88f7bae67dfe77df7d1dc7769a6a4bea2bae70a80272730c