Paper Citation Record · LEDGER

Learning Energy-Based Models by Diffusion Recovery Likelihood

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.08125.

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

pith.paper-citation-record.v1
2012.08125 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:38:06.065481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:02:24.262401Z

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 50c2b267-ba75-4c84-b693-dceb675221bd · inbound

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed cites this paper.

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:56:19.943332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4b74122b-cd48-41a8-b620-2634604349c9 · inbound

Diffusion Models Beat GANs on Image Synthesis cites this paper.

Diffusion Models Beat GANs on Image Synthesis Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:16:28.544932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43068ab8-72df-4863-a3d4-b10e151a0b96 · inbound

Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI cites this paper.

Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:24:01.798301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 741e5ecd-8a4a-43f0-94fe-4a7985943407 · inbound

Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps cites this paper.

Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:10.213555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acd1807-e986-43c5-9603-b18575963068 · inbound

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis cites this paper.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:38:06.065481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967c9df9-6991-4e1c-86aa-60c36f8a7ee3 · inbound

Theoretical Analysis of Engression and Reverse Markov Engression cites this paper.

Theoretical Analysis of Engression and Reverse Markov Engression Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:02:24.263751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.