Paper Citation Record · LEDGER

N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.12417.

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

pith.paper-citation-record.v1
2111.12417 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:04:47.466042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T14:38:28.042728Z

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 34bcfe96-8984-4221-8edf-b9c8a8dce80e · inbound

Video Diffusion Models cites this paper.

Video Diffusion Models N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-13T14:38:28.044612Z

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.

Observation 1d41a28c-0967-494d-84d2-01ef25bcac98 · inbound

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers cites this paper.

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:24:30.291392Z

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.

Observation 32a54dcf-3519-4c95-ba96-7ef45119f1fa · inbound

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries cites this paper.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.466042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c55be78-b55c-416b-8dcf-496d1d0a844a · inbound

Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation cites this paper.

Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-11T04:37:15.094754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c62b7f-77ec-4fc9-a581-2f0b7c45909a · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

Reference 292

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:07:18.117117Z

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.