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Paper Citation Record · LEDGER

Video Diffusion Models are Strong Video Inpainter

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11402.

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

pith.paper-citation-record.v1
2408.11402 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:23:39.912948Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:23:43.345670Z

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 06304281-c467-4304-8639-7827afccae04 · inbound

ROSE: Remove Objects with Side Effects in Videos cites this paper.

ROSE: Remove Objects with Side Effects in Videos Video Diffusion Models are Strong Video Inpainter

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:23:43.472798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-05T16:23:39.912948Z digest=sha256:a809eb1c728ec6219b0886cb70fcc66abedba0cb6ef523d1c8931652e0607225

Observation 778c5940-12f9-4e16-9e8a-06ccafe957d9 · inbound

Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting cites this paper.

Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting Video Diffusion Models are Strong Video Inpainter

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T22:00:04.802288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:00:04.802288Z digest=sha256:db129bb2c6474b3c455f29467822d93ec7d3cbe641870518c634f56f9d010bfa