Paper Citation Record · LEDGER

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention

As of 23 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2601.21444.

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

pith.paper-citation-record.v1
2601.21444 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:02:08.777574Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41312385-6f9a-4fe2-bfd6-b42cefdfd411 · outbound

This paper cites arXiv:2504.21403.

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention arXiv:2504.21403

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T07:02:08.772176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed44c68d-9f81-4016-b48d-58cc234abefa · outbound

This paper cites We run 20 entries on the following tasks: Single-NIAH-1/2, MultiKey-NIAH-1/2, MultiValue-NIAH, MultiQuery-NIAH, VT, CWE, FWE, and QA1/2, using 8 GPUs.

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention We run 20 entries on the following tasks: Single-NIAH-1/2, MultiKey-NIAH-1/2, MultiValue-NIAH, MultiQuery-NIAH, VT, CWE, FWE, and QA1/2, using 8 GPUs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T07:02:08.777574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40e8b56-6ef9-4885-8737-9f6dc53236f1 · outbound

This paper cites SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models.

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T07:02:08.774478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6eb184-bd46-4052-aba2-e453231ad092 · outbound

This paper cites QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension.

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T07:02:08.768742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.