Pith. sign in

Paper Citation Record · LEDGER

Video Action Transformer Network

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1812.02707.

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

pith.paper-citation-record.v1
1812.02707 v2

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 2026-08-14T13:43:07.768342Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:46:14.310470Z

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 0fb3a362-7dd5-42e7-b12b-6324ec18ce0d · inbound

Three Branches: Detecting Actions With Richer Features cites this paper.

Three Branches: Detecting Actions With Richer Features Video Action Transformer Network

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T13:43:07.768342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:43:07.768342Z digest=sha256:c76cdc628e577e60875456ab1dc947acd0b04108190decd294cc94e8ddab7407

Observation 17ff73fa-0776-4627-83ca-335103ec02f5 · inbound

Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure cites this paper.

Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure Video Action Transformer Network

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T10:49:57.494285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:49:57.494285Z digest=sha256:f733120e096c97e411a299736aff9a759aa86359dd6f7765160cec00bba979e5

Observation adddd687-b1f7-4c86-ae40-6ebb4e09e037 · inbound

Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks cites this paper.

Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks Video Action Transformer Network

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:46:14.314641Z

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=2026-08-07T10:46:14.188309Z digest=sha256:0446443d169c3cd721a0fb72415f90695d45e304d803ae1d3d3331f57b4b6853