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Paper Citation Record · LEDGER

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.07355.

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

pith.paper-citation-record.v1
2310.07355 v5

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:35.475858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:07.078209Z

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 ee823583-d03e-4210-bd01-555e2f5a77d3 · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training

Reference 176

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:35.475858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:35.475858Z digest=sha256:89b8b3066d6e9c9a0f73bbcea2d26aafe2fa39d704c8808bb19053a45cc9b7d4

Observation 492bbe75-193f-4492-8da9-4f9795aabcfe · inbound

Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training cites this paper.

Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:13.011276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:13.011276Z digest=sha256:49a1318305f47b9f344c2542526c033bc49b4e4590a84f9b1fedc2525305b3c2

Observation 40dc50e4-37b5-4418-b314-75241a1a9aef · inbound

Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed Tomography cites this paper.

Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed Tomography IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:20:07.079674Z

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=arxiv_source observed=2026-06-25T21:24:16.675010Z digest=sha256:b6112afc3fd8d56086a623a161408dd61695eca6381674c3d465b10651ef15f9