Paper Citation Record · LEDGER

CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.15201.

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

pith.paper-citation-record.v1
2404.15201 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:36.077050Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:08:15.485657Z

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 8cc4b98c-70a6-4078-8664-b4ec3706bdbc · inbound

FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records cites this paper.

FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:36.077050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da1245e-916b-4d8f-8019-48ecab428257 · inbound

CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records cites this paper.

CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T10:52:59.133516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b531da4-5d45-4ea3-8fc5-92d4ebb36aed · inbound

NEST: Nested Event Stream Transformer for Sequences of Multisets cites this paper.

NEST: Nested Event Stream Transformer for Sequences of Multisets CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:20:47.655334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 95ba5e1d-5667-488b-9bea-65ee7a0764f6 · inbound

Uncertainty-Aware Foundation Models for Clinical Data cites this paper.

Uncertainty-Aware Foundation Models for Clinical Data CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:48:02.934376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0311011b-bb66-4f86-b6e9-6becccbdacd0 · inbound

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR cites this paper.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6263860-2680-459e-a558-7fb5296a0f4c · inbound

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

Event Fields: Learning Latent Event Structure for Waveform Foundation Models CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:32.114133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6cd84df2-3f29-472a-9921-d541ff68abe7 · inbound

WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records cites this paper.

WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:44.619004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 158aafdd-a981-4246-b463-fdb378c758fa · inbound

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records cites this paper.

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:22:10.496366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2ae2743-cef6-4105-ad80-bff1edca2c98 · 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 CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:08:15.487281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0adb0ac1-f2e5-40c9-83fc-09c364cdbdd0 · 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 CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

Reference 59

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.