Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.19036.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:01.186306Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T19:48:11.380911Z
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 58936284-d05d-4d50-9943-35cc6971894e · inbound
Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding cites this paper.
Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:03:01.186306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1defa97-b381-48e2-abbd-47a45d5d425d · inbound
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models cites this paper.
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:18:02.510363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a3f0be8-4038-4198-babd-117a6477a653 · inbound
Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs cites this paper.
Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:48:11.382448Z
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.