Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.10994.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:14.367925Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:56:05.732699Z
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 c8783900-4263-4e24-8bf3-dfdd7c03543e · inbound
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs cites this paper.
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:20:32.068161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8632f363-36a1-41db-8844-8a1c699956a1 · inbound
Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning cites this paper.
Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:22:37.715782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6892eaa-924d-4828-af34-43c1c7fce364 · inbound
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models cites this paper.
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:56:05.735855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5bbe1032-10e0-43e0-96f6-cb7127e9fa02 · inbound
Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin cites this paper.
Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:30:14.367925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.