Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.17815.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:39:18.129942Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T21:39:22.346160Z
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 58fb2e2a-cc0e-4ffb-b83a-60c22a6a1e66 · inbound
ST$^3$: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming cites this paper.
ST$^3$: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:39:18.129942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2915a8a-18f5-4106-8305-89651466dcec · inbound
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs cites this paper.
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T21:39:22.353394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.