Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.02998.
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 2026-08-07T12:09:08.047002Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:25:48.347109Z
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 344b9015-776b-4c94-affa-9a911504e288 · inbound
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models cites this paper.
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:09:08.047002Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 108f4519-7f3b-407b-8cb0-8b9a86c5a6be · inbound
LinMU: Multimodal Understanding Made Linear cites this paper.
LinMU: Multimodal Understanding Made Linear ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T18:33:15.177085Z
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 40d587a7-89bd-4d37-83eb-e029829d6cce · inbound
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:25:48.348921Z
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.