Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.10358.
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 2026-08-07T15:42:50.396765Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T20:21:49.946255Z
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 44ab4583-7812-4a83-b783-1b4b19b42e63 · inbound
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning cites this paper.
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:50.396765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df99ce7b-85a4-4500-8458-02206b779973 · inbound
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation cites this paper.
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:03:00.206287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afa419cb-6ab6-4410-b8bc-f254890a121d · inbound
AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving cites this paper.
AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:21:49.950149Z
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 34002c03-b6d0-43f5-98ca-8e3c8584d882 · inbound
SAGA: Source Attribution of Generative AI Videos cites this paper.
SAGA: Source Attribution of Generative AI Videos FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:35:17.843528Z
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.