Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.19480.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:04.943789Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:38:28.794386Z
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 2b0098d5-599b-4683-bec8-64439fc9930b · inbound
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP cites this paper.
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:04.943789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03b36a2f-d7ac-4fee-9839-0cb316ce9349 · inbound
Reconstruction Alignment Improves Unified Multimodal Models cites this paper.
Reconstruction Alignment Improves Unified Multimodal Models GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:36:08.075597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c54cf94-850b-4d86-8062-31b369cc979b · inbound
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
Reference 160
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:38:28.795725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.