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Paper Citation Record · LEDGER

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.08742.

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

pith.paper-citation-record.v1
2209.08742 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 2026-08-07T14:38:26.334671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:12:47.218627Z

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 2a4b1a0b-360e-416c-9617-13856c65f950 · inbound

Semantic Correspondence: Unified Benchmarking and a Strong Baseline cites this paper.

Semantic Correspondence: Unified Benchmarking and a Strong Baseline Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:26.334671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:26.334671Z digest=sha256:a033fcc08a3e2ed67a1d05a47759cda02227455494adb16d4db4b1b87b134cfc

Observation 2a36c296-cd7c-4658-bedb-0317cb9073d7 · inbound

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction cites this paper.

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:47.220299Z

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=2026-06-28T23:07:50.491677Z digest=sha256:c71bc02fa1d2fcc02c8a51841aaa2746c1c54272956174e99aa8cdedac565a05