Pith. sign in

Paper Citation Record · LEDGER

ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.20504.

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

pith.paper-citation-record.v1
2412.20504 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:22.035335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:01:33.546041Z

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 26926a99-6fe9-4763-ae56-44f168a64c7d · inbound

Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders cites this paper.

Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:22.035335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:37:22.035335Z digest=sha256:117d3fa4ad389c490a8cd6328565a9ec059dc5080a91e510e83b16690154c604

Observation afa52dc7-5d5a-4b51-8d3d-97c898209423 · inbound

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification cites this paper.

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:10.091131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:13:10.091131Z digest=sha256:7de55dd4cc94c02050ad980657cb4f84b092b8da78248130ec607e2f176d8410

Observation 242fa570-3d84-43c4-8f27-c01f37a67a4e · inbound

Flash-VStream: Efficient Real-Time Understanding for Long Video Streams cites this paper.

Flash-VStream: Efficient Real-Time Understanding for Long Video Streams ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T21:37:07.383398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:37:07.383398Z digest=sha256:c641e7d13030bebc7b8fb04331a9a61c1e805b92743a0bb7341c7902ba17bf0c

Observation 3fbb95af-caf3-4d79-a8bc-191d95e8f8e2 · inbound

LongAnimation: Long Animation Generation with Dynamic Global-Local Memory cites this paper.

LongAnimation: Long Animation Generation with Dynamic Global-Local Memory ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:44:03.079113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:44:03.079113Z digest=sha256:8a2c5ce0c4cf7143d4ef11d3326f534cf72b8f784a77ff40fad80fd6b6cd5eb8

Observation abc553c2-7d53-4d73-b1c7-5da5c5b76a11 · inbound

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models cites this paper.

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T05:37:35.445827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:37:35.445827Z digest=sha256:d484036d0db98945a19b97bedf293f8f09f69b6ef3dfa18cf9d672365ad7d6a8

Observation dd7380db-5064-4d80-a921-2eb87221f7ce · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 160

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:18.195646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:32:18.195646Z digest=sha256:3a86ef3e7d1130023f61ae8a4bf2584309f4ea402fa64b56c8926c5b0bbeef07

Observation 4a3f20b1-7c31-4b8a-b082-b5533de0464d · inbound

LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding cites this paper.

LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:01:33.550637Z

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=2026-05-15T20:01:31.129959Z digest=sha256:ce68d902f66e128bc5a755e673eba854afc87d0938beccf22a848d419155af91

Observation 0ad13aa1-3d18-4d99-9598-f45c711e9cf3 · inbound

Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models cites this paper.

Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:56:33.542684Z

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=2026-05-15T19:53:18.200223Z digest=sha256:ac52fce539f9d73d0a818b2d51541cccbb5d628d2734cec4a14226925a271c3b