Paper Citation Record · LEDGER

Diffusion models as plug-and-play priors

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2206.09012.

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

pith.paper-citation-record.v1
2206.09012 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:38:06.252765Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:04:02.601672Z

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 e92a4ae5-aed1-425a-adc8-7545b7939fed · inbound

DreamFusion: Text-to-3D using 2D Diffusion cites this paper.

DreamFusion: Text-to-3D using 2D Diffusion Diffusion models as plug-and-play priors

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:27:10.602755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71cf72f2-cd6b-49bd-8984-37de9a2ef0cb · inbound

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization cites this paper.

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Diffusion models as plug-and-play priors

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T10:38:06.252765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c50cbd-63ee-47bf-97aa-240123336acd · inbound

Visual Diffusion Models are Geometric Solvers cites this paper.

Visual Diffusion Models are Geometric Solvers Diffusion models as plug-and-play priors

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T04:20:52.739228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d5de055-33dc-46c1-8d3d-77423fd95379 · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Diffusion models as plug-and-play priors

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:24.873842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d87c584c-bc29-4d36-9ba7-6c2778fde35c · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Diffusion models as plug-and-play priors

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:29:09.718387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 875d64d3-e395-4138-8418-323e69670783 · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Diffusion models as plug-and-play priors

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:04:02.603382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8eb873ab-7804-4938-9fac-2d1a3b362984 · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Diffusion models as plug-and-play priors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T12:52:50.144423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.