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Paper Citation Record · LEDGER

AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.01651.

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

pith.paper-citation-record.v1
2401.01651 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:49:06.518012Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:45:52.168265Z

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 0627cba8-ed4e-43c1-bd08-dc47d10d7ccb · inbound

MotiF: Making Text Count in Image Animation with Motion Focal Loss cites this paper.

MotiF: Making Text Count in Image Animation with Motion Focal Loss AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:06.518012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:06.518012Z digest=sha256:f21724599009e93fc03ef032bdaff59b12d4cba158fbad4efae8e33eca1e6b71

Observation 3000991f-59c4-4821-afbc-381b73476d7a · inbound

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:45:52.259109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T12:45:44.801085Z digest=sha256:7e4c75994c4f4ed4a29322e6f6572f28ee0c8f805542b653466878dedba5f004