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Paper Citation Record · LEDGER

SFNet: Learning Object-aware Semantic Correspondence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.01810.

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

pith.paper-citation-record.v1
1904.01810 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 2026-08-05T12:04:28.918736Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:04:29.212510Z

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 a03a3e9e-964a-4058-8969-0b292543463c · inbound

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement cites this paper.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement SFNet: Learning Object-aware Semantic Correspondence

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:04:29.216206Z

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=2026-08-05T12:04:28.918736Z digest=sha256:1c2a8e39641bc7816a5a6484e4652dbb86bbed852b09b7c829a6a7ad7036eefb

Observation 2cb2f125-899e-4c0e-b9d1-d623036045fd · inbound

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation cites this paper.

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation SFNet: Learning Object-aware Semantic Correspondence

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T05:01:42.751649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:01:42.751649Z digest=sha256:9e12410942c8f0d2d6399d3c3a1f5287617143a475a9dfe12c4cc089177bf071