Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.12266.
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 2026-08-06T05:31:18.811556Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:42:17.444664Z
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 3e73855c-1be5-4b01-8170-f4df45bbbf38 · inbound
Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment cites this paper.
Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:31:18.811556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80e00036-4fc5-40c6-809f-0492eaa9afd0 · inbound
Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution cites this paper.
Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:42:17.449224Z
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 eb466896-b138-4f36-8c8c-369e4230e6de · inbound
Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution cites this paper.
Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:53:43.584857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0294db1b-7124-4439-827f-10a48cc48eb6 · inbound
V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence cites this paper.
V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:08:59.821479Z
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 73113ddc-4764-4b66-b856-ad596948f8a2 · inbound
Efficient Video Diffusion Models: Advancements and Challenges cites this paper.
Efficient Video Diffusion Models: Advancements and Challenges PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
Reference 272
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:03:26.063179Z
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.