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Paper Citation Record · LEDGER

Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.08072.

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

pith.paper-citation-record.v1
2212.08072 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:38.657042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:23:22.770098Z

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 d66d93c6-0177-4dcd-abe9-1adc68f4b641 · inbound

Foundation Models for Clinical Records at Health System Scale cites this paper.

Foundation Models for Clinical Records at Health System Scale Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:38.657042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:18:38.657042Z digest=sha256:7e4ae281dc3a99cf474d1c04028398022538d87a8d0be5fe8bf3904f8a7e26b4

Observation a5db7127-55fb-4a0d-8a67-880d44019a0f · inbound

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction cites this paper.

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:23:22.771568Z

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.

source=pdf_text observed=2026-05-15T00:21:24.939539Z digest=sha256:a49dc7377f5e62986ad0433a529f52b4b7706c9103dd58aa9a6c4189f775d492

Observation 1729a632-a469-428a-a7f7-18dd786b6127 · inbound

FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing cites this paper.

FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:05.406846Z

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.

source=arxiv_source observed=2026-05-10T15:12:19.320406Z digest=sha256:230462165dc38c3b85e53667c185eaa94203403e388a96d339dfb5722929c6de