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Paper Citation Record · LEDGER

Video Occupancy Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.09533.

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

pith.paper-citation-record.v1
2407.09533 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:48:08.210707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:27:14.548193Z

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 64bf2786-e14d-45ad-a00e-e252a9d2fbff · inbound

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation cites this paper.

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation Video Occupancy Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T19:48:08.210707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:48:08.210707Z digest=sha256:68e1272a34d2ab3a3f1c8bffa55cdd538a7a4f1a3a9a103a1e253a41476e4e91

Observation 49a4c6e4-5c64-40c9-af85-f586c545ed68 · inbound

Intention-Conditioned Flow Occupancy Models cites this paper.

Intention-Conditioned Flow Occupancy Models Video Occupancy Models

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:27:14.549701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T10:24:52.160209Z digest=sha256:5ed26eae17fc817f003c5c083ff385a6e7ee411b0004fe3d2814bc7e327ae356

Observation ed8e984d-368c-4623-95b6-256643006d18 · inbound

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning cites this paper.

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Video Occupancy Models

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:33:51.198027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T00:33:50.471804Z digest=sha256:9589c9d401d0f852233796188688f4cccaff1f5f328d7df077a45a07433feb29