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Paper Citation Record · LEDGER

A Perceptual Quality Assessment Exploration for AIGC Images

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.12618.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.12618 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T05:04:54.584862Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 46527d95-dc04-4d5c-8d02-ab13dd797b4f · inbound

ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance cites this paper.

ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance A Perceptual Quality Assessment Exploration for AIGC Images

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-09T03:04:47.654971Z

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.

source=pdf_text observed=2026-05-07T14:05:05.560294Z digest=sha256:38f7bc053653bd513f4c024bb6d6f7c9663c47a046035321921ef67e040de782

Observation d5f00801-bd6b-4f55-b7b4-c0815b985762 · inbound

Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment cites this paper.

Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment A Perceptual Quality Assessment Exploration for AIGC Images

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T05:04:54.584862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T05:04:54.584862Z digest=sha256:92bc38cd9c0cabff00065f041819768e46f03af8cd44d94f596e98f16f4ac839