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Paper Citation Record · LEDGER

Self-supervised Photographic Image Layout Representation Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.03740.

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

pith.paper-citation-record.v1
2403.03740 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:08:48.750378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:56:05.477165Z

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 75465895-e558-4fcf-a7b4-f39c6bd3808a · inbound

Semantic to Structure: Learning Structural Representations for Infringement Detection cites this paper.

Semantic to Structure: Learning Structural Representations for Infringement Detection Self-supervised Photographic Image Layout Representation Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T13:08:48.750378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:08:48.750378Z digest=sha256:c4bbcd0fc3250d5b0829fd8bb5d3cd1bd7a241cfad7fe27739ca18377d2d7396

Observation 6c33ccb1-100d-4cf5-b766-f909b6ef29f1 · inbound

Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion cites this paper.

Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion Self-supervised Photographic Image Layout Representation Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:05.480584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:15:15.409574Z digest=sha256:70bea042a17f7b969c5c56af973bf678d6c33c270c0e632bc6a3110425d81046