Paper Citation Record · LEDGER

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.19060.

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

pith.paper-citation-record.v1
2310.19060 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:27.306650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:46:16.800490Z

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 157cfe73-768d-4293-9e5c-ccb9bf8d79bb · inbound

TempCompass: Do Video LLMs Really Understand Videos? cites this paper.

TempCompass: Do Video LLMs Really Understand Videos? TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:46:16.803157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9742fac6-7bc2-4221-87ff-638d8aad58c7 · inbound

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding cites this paper.

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:53:33.691158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03bae0ac-1fbe-4342-b3e4-9420f2fece5d · inbound

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models cites this paper.

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:40:23.713555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5410bbec-2005-4be8-ba32-49007412a2e4 · inbound

LinVT: Empower Your Image-level Large Language Model to Understand Videos cites this paper.

LinVT: Empower Your Image-level Large Language Model to Understand Videos TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T20:54:16.384673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562f1fdf-064f-4014-a903-d8a630884241 · inbound

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos cites this paper.

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:27.306650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab99992-cdb6-4ac8-81d3-054af5781bc6 · inbound

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis cites this paper.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:00.476474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948a81fc-d353-4121-be4f-5d3b970c6457 · inbound

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding cites this paper.

One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:30:26.578062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.