Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.10945.
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 2026-08-07T00:42:53.590496Z
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
1
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 bae0e8e8-4c7f-4bf0-8cd2-dc3b22e0d8a2 · inbound
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction cites this paper.
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:12:14.774786Z
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 25f712e8-e4a4-4b03-94a6-4033a5b2d9e5 · 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 HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:53.590496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26ac5815-ddda-4ff1-8f70-55b952b16ead · inbound
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:29:47.222083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7f06c1f-40ff-48c0-80e1-ca68a43e3c98 · inbound
LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression cites this paper.
LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:42:22.903167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70e23173-8b7d-4a5d-a127-42e1e80b3983 · inbound
Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.
Compared to What? Baselines and Metrics for Counterfactual Prompting HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Reference 86
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T19:05:10.513566Z
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.