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Paper Citation Record · LEDGER

Generalization in medical AI: a perspective on developing scalable models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.05418.

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

pith.paper-citation-record.v1
2311.05418 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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:55.977721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:40:36.383613Z

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 0f36581c-eb9c-4ad6-ac83-62022669124d · inbound

MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events cites this paper.

MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events Generalization in medical AI: a perspective on developing scalable models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:55.977721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:55.977721Z digest=sha256:a3794c25e5c75f3e2f97114dd82b967a2221271b94d73757a474ea0862953b36

Observation 569b3ee3-21a6-4fcc-8a5d-46fa96d88f5d · inbound

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies cites this paper.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Generalization in medical AI: a perspective on developing scalable models

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:03.336287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:03.336287Z digest=sha256:8efa82cc0ec967684c04beb5c5169f06ab9b9cf54205b30368f764606130cf32

Observation ee474319-bff9-410e-a63e-f040823ffbf8 · inbound

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach cites this paper.

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach Generalization in medical AI: a perspective on developing scalable models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T11:40:36.388455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-06T11:40:36.303076Z digest=sha256:bc3d3268fb31de8f650e0a28eb024068a836407fa2af84431fb78ea43adc3db3