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Paper Citation Record · LEDGER

Generative AI for Film Creation: A Survey of Recent Advances

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.08296.

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

pith.paper-citation-record.v1
2504.08296 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:45:11.276367Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:20:40.505705Z

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 cc8daa00-815b-42ec-acbc-ae50f7eedf79 · inbound

FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation cites this paper.

FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation Generative AI for Film Creation: A Survey of Recent Advances

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:11.276367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:11.276367Z digest=sha256:9ace6fc8371b866f187afe313280c2adf23af6206c079589c827cb8a5e8edca3

Observation 8dca453e-46be-4714-9028-dcf588a9ff4c · inbound

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences cites this paper.

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences Generative AI for Film Creation: A Survey of Recent Advances

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:20:40.511019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:20:40.428946Z digest=sha256:12d6cde08c16ce35cc9bb4de3701e70a4083f0f477283e0d652630aa59953b65