Pith. sign in

Paper Citation Record · LEDGER

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.16022.

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

pith.paper-citation-record.v1
2103.16022 v1

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:19:54.060468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T10:42:22.433949Z

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 4f437363-7e42-4538-b36a-af488be628d9 · inbound

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs cites this paper.

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T10:42:22.435429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T10:42:22.378367Z digest=sha256:b23c954540e95d308f9c7605d0f32a165d3939ead0ea689780d7213ca09e9836

Observation 8fe94401-638c-4224-b853-57d699022ee6 · inbound

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text cites this paper.

NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:06.751014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:58:06.751014Z digest=sha256:b9c825fbd42a4a70195daaf4d4a4584153ce6cb5d5e666ff8b555940140fe07e

Observation c987a717-8fcf-49d0-9540-4765b001de56 · inbound

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models cites this paper.

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:19:54.060468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:54.060468Z digest=sha256:924b2198d25c41100a17227e96a64a21a6188f00c1abeaf73d0ff0c3c3dfd50d