Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.09532.
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 2026-08-07T00:42:53.633999Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T05:27:19.549299Z
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 4903a790-14c1-4a4a-9ef7-034902d90dfc · 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 AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:53.633999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5326a5f-2dd8-4602-80aa-e2cda368c97e · inbound
Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding cites this paper.
Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:26:01.546179Z
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 9b9e31e9-f034-46fb-b29b-3de4c23cde20 · inbound
Very Efficient Listwise Multimodal Reranking for Long Documents cites this paper.
Very Efficient Listwise Multimodal Reranking for Long Documents AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:27:19.551164Z
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.