Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.02175.
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 2026-08-07T04:20:30.500266Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d9580dc0-9e63-41c9-860c-842923ee40f6 · 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 DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:20:30.500266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a2c712-d4dd-404c-aaca-61c8123a70ec · inbound
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:53.586485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ebdbcd1-1622-47c7-8529-22f36dd1d1dc · inbound
Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding cites this paper.
Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:59:15.578220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64125b5d-0f93-4ca2-9c34-d0abc1a30b2f · inbound
Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection cites this paper.
Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:40:01.253257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da857c0b-d36c-4b63-9596-c59d90f5caa1 · inbound
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding cites this paper.
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:31:01.529415Z
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.
Observation 39164111-2608-4f09-b0f6-c36ce73aa20d · inbound
Make Your LVLM KV Cache More Lightweight cites this paper.
Make Your LVLM KV Cache More Lightweight DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T19:05:10.202394Z
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.
Observation e2158895-ae9a-49ed-beb1-4838702cc90a · inbound
VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading cites this paper.
VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:36:06.803914Z
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.
Observation 60ce3a48-5358-4e4a-b3e9-7352a90a19b5 · inbound
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models cites this paper.
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:46:51.648153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bee256a7-029f-46ec-9450-ba9fc1af794e · inbound
SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models cites this paper.
SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:41:28.828746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.