Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quality Assessment for AI Generated Images with Instruction Tuning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.07346.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:02:26.267826Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:21:08.798105Z
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 a06682c8-17b6-480a-b6c1-0b2897661010 · inbound
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment cites this paper.
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment Quality Assessment for AI Generated Images with Instruction Tuning
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:02:26.267826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 204bf254-ad1c-4b2e-8113-0dd1d3103e75 · inbound
DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models cites this paper.
DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Quality Assessment for AI Generated Images with Instruction Tuning
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:16:47.664195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49ffbcf3-9504-45d3-bba6-c230d2fb273b · inbound
Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images cites this paper.
Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Quality Assessment for AI Generated Images with Instruction Tuning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:21:08.844950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.