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Paper Citation Record · LEDGER

VideoOrion: Tokenizing Object Dynamics in Videos

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.16156.

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

pith.paper-citation-record.v1
2411.16156 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:41:51.372359Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:33:51.653731Z

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 a2c3ae77-95fe-4fe4-a46a-9825521193aa · inbound

Unified Multimodal Understanding via Byte-Pair Visual Encoding cites this paper.

Unified Multimodal Understanding via Byte-Pair Visual Encoding VideoOrion: Tokenizing Object Dynamics in Videos

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:41:51.372359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:41:51.372359Z digest=sha256:fa1830c5ae24079448969089b70128bb016f45c08640fc318f3ab7556ae25e81

Observation dc1b8b98-c779-4bba-ba14-eacaaf7e8583 · inbound

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos cites this paper.

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos VideoOrion: Tokenizing Object Dynamics in Videos

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:33:51.694013Z

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=pdf_text observed=2026-08-06T15:33:42.245773Z digest=sha256:587379d7ed31c19e95bc7013b9886f52326e640a969958348bb7874873d00d85