Paper Citation Record · LEDGER

Can Large Language Models abstract Medical Coded Language?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:43.620499Z

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 34007dd9-21a3-4796-a16d-a1653baa2a39 · inbound

Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding cites this paper.

Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding Can Large Language Models abstract Medical Coded Language?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:58.027955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952ddd2e-84dc-4c2d-8461-ef20aceb846b · inbound

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs cites this paper.

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Can Large Language Models abstract Medical Coded Language?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:43.620499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0195cc3-dc2e-4b0d-9f0a-d7192a3fd388 · inbound

Temporal Entailment Pretraining for Clinical Language Models over EHR Data cites this paper.

Temporal Entailment Pretraining for Clinical Language Models over EHR Data Can Large Language Models abstract Medical Coded Language?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:00.822733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae99180-e95d-4ede-9c5b-cf884005bbe8 · inbound

An Extensive Study on Text Serialization Formats and Methods cites this paper.

An Extensive Study on Text Serialization Formats and Methods Can Large Language Models abstract Medical Coded Language?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.155190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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.