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Paper Citation Record · LEDGER

S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.01673.

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

pith.paper-citation-record.v1
2004.01673 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:51:27.150689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:43:15.428875Z

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 522b4de1-e7cb-42cf-ab52-0b4d18b6fcc4 · inbound

MATCHA:Towards Matching Anything cites this paper.

MATCHA:Towards Matching Anything S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:27.150689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:51:27.150689Z digest=sha256:9b87ce7629c949b9cfa4da98d1f279a45e65ea56016f3f9c198ab28ee348dd0d

Observation b676ab55-1fa2-41ac-9cf0-6d6878931d37 · inbound

Efficient 3D Content Reconstruction and Generation cites this paper.

Efficient 3D Content Reconstruction and Generation S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:43:15.430471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T11:38:48.194538Z digest=sha256:ba0a055ac936456b844af4c0585c6138e6b0c450a9cdf845c1e1de711ce8a6bb