Paper Citation Record · LEDGER

Revisiting 3D ResNets for Video Recognition

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2109.01696.

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

pith.paper-citation-record.v1
2109.01696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:09:51.318493Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:11:15.693125Z

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 916bca99-8d99-4275-9ac7-b26a12bff0a4 · inbound

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference cites this paper.

BILLNET: A Binarized Conv3D-LSTM Network with Logic-gated residual architecture for hardware-efficient video inference Revisiting 3D ResNets for Video Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T15:09:51.318493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63530ac6-5686-4eed-bbbe-c5077577923c · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey Revisiting 3D ResNets for Video Recognition

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:44.911467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae8d95e7-ddfc-4478-855b-f812d06c2477 · inbound

Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation cites this paper.

Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation Revisiting 3D ResNets for Video Recognition

Reference 44

Resolution: malformed identifier; arxiv_id, observed 2026-05-12T02:11:15.694834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation deccd610-eea2-4bbd-b257-3d7de85c4aef · inbound

Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation cites this paper.

Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation Revisiting 3D ResNets for Video Recognition

Reference 43

Resolution: malformed identifier; no resolver link, observed 2026-08-02T14:35:51.429187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.