Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.18278.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:27.408169Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:36:02.184745Z
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 c2d0699b-afe2-43e0-bcf2-3868504c7088 · inbound
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos cites this paper.
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:47:27.408169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a0e6f1e-ea3d-45a8-b6ec-7b952378e88c · inbound
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs cites this paper.
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:24:34.330154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b01df972-b97c-4998-a5f7-a4b0090fbec6 · inbound
Efficient Mixture-of-Experts LLM Inference with Apple Silicon NPUs cites this paper.
Efficient Mixture-of-Experts LLM Inference with Apple Silicon NPUs TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:36:02.185942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.