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Paper Citation Record · LEDGER

State of the Art on Diffusion Models for Visual Computing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.07204.

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

pith.paper-citation-record.v1
2310.07204 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:48.569304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:29:51.137710Z

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 d2e2f552-015a-48f7-b0db-21ea35f7b22c · inbound

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis cites this paper.

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis State of the Art on Diffusion Models for Visual Computing

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:27:53.609483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T08:27:53.446686Z digest=sha256:b475cf38615a0a32991d8e2b1b67cf40573aa692e974e0988f1b8bea4c2c0641

Observation 04e2cc9a-b46b-4b9e-abdb-ef9d9126007e · inbound

CAT3D: Create Anything in 3D with Multi-View Diffusion Models cites this paper.

CAT3D: Create Anything in 3D with Multi-View Diffusion Models State of the Art on Diffusion Models for Visual Computing

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:29:51.139565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T21:29:51.062396Z digest=sha256:43557b540c50eb9bef7fc3e70b95b8171c4836d6adc169c1c41c5a319ec6cc72

Observation ceffeb42-9e3b-4fcf-b8a7-3a64085280d7 · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models State of the Art on Diffusion Models for Visual Computing

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:48.569304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:48.569304Z digest=sha256:902afe5df386dd0d118a8c94a1e55a92fc7b1be7852b8541e6c7591cb5269b02

Observation b727449b-c5af-493c-9017-a6d65e50d10f · inbound

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation cites this paper.

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation State of the Art on Diffusion Models for Visual Computing

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-02T06:23:42.686173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:23:42.686173Z digest=sha256:bc7d4fe2e6bb431d8ab28639745a12e800b78520cc484f6e3c5249c8873c9715