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Paper Citation Record · LEDGER

Quality Assessment in the Era of Large Models: A Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.00031.

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

pith.paper-citation-record.v1
2409.00031 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:33.730197Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:45:12.407173Z

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 dbe3a667-6def-4442-b2e0-c6466533c8b7 · inbound

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis cites this paper.

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis Quality Assessment in the Era of Large Models: A Survey

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-12T18:49:29.298173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:29.298173Z digest=sha256:30f2d51a1a6da633f2fce4c51669b8d725fd23aff886aaf99ee1f23f6491925e

Observation 943dc2be-849c-4930-a4e4-41817da30134 · inbound

OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions cites this paper.

OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Quality Assessment in the Era of Large Models: A Survey

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T12:10:33.730197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:10:33.730197Z digest=sha256:b552e87fc2d20a57a6bef8117c42a77fd08eb595126a5839a9e8b4a78b2bd343

Observation b867e270-bff2-4937-9781-54cc721f97b6 · inbound

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results cites this paper.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Quality Assessment in the Era of Large Models: A Survey

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:51.339568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:51.339568Z digest=sha256:54e740baf65f475c9c8f30b1074f6ec03c686d037c1c548216deba083d36ae5d

Observation e7dec906-f5ca-4e2e-92a6-9172643a28d9 · inbound

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models cites this paper.

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models Quality Assessment in the Era of Large Models: A Survey

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:45:12.414407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:45:12.043964Z digest=sha256:77fa143d9414574f5b142b01b7e3c394746ed50f43e8953c233eae8a41dbd857