Pith. sign in

Paper Citation Record · LEDGER

Boundary-Denoising for Video Activity Localization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.02934.

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

pith.paper-citation-record.v1
2304.02934 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:18:30.498191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:32:43.043403Z

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 63bb4783-6b4f-4628-bcb0-0516569be43c · inbound

Multi-Scale Contrastive Learning for Video Temporal Grounding cites this paper.

Multi-Scale Contrastive Learning for Video Temporal Grounding Boundary-Denoising for Video Activity Localization

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:32:43.047039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T07:29:46.573683Z digest=sha256:6098d4819b1ebb47648d248522a6fff66fccfcd5907826f1e6f8bda74feca722

Observation e1c46bcd-d242-4db4-81d2-01d8b5443114 · inbound

De-Fake: Style based Anomaly Deepfake Detection cites this paper.

De-Fake: Style based Anomaly Deepfake Detection Boundary-Denoising for Video Activity Localization

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T20:18:30.498191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:18:30.498191Z digest=sha256:575264ed43ecb89d6ca496b6c099a81af3a1a8ccaf12d0ba89d1862fd2db995e