Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2302.11552.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:31:04.988457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f10dc4a5-cb29-497e-842e-5a712758e5a6 · inbound
Training Diffusion Models with Reinforcement Learning cites this paper.
Training Diffusion Models with Reinforcement Learning Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:16:30.986985Z
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.
Observation b9a0e3e4-43cf-4b15-92e7-e7717436d247 · inbound
Improving Factuality and Reasoning in Language Models through Multiagent Debate cites this paper.
Improving Factuality and Reasoning in Language Models through Multiagent Debate Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:01:45.236654Z
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.
Observation 34ccb920-0afe-4479-8dde-15f3e6498aa7 · inbound
Learning Interactive Real-World Simulators cites this paper.
Learning Interactive Real-World Simulators Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 185
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:15:18.671357Z
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.
Observation 1060ef90-6c81-49be-a3bf-26be9a2933f7 · inbound
Compositional Scene Understanding through Inverse Generative Modeling cites this paper.
Compositional Scene Understanding through Inverse Generative Modeling Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:31:04.988457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6e5c621-ac24-4a89-9c9c-6358ec09e578 · inbound
Combining complex Langevin dynamics with score-based and energy-based diffusion models cites this paper.
Combining complex Langevin dynamics with score-based and energy-based diffusion models Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:16:08.499548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93f74ab4-bc06-4a77-bd5d-343720d07092 · inbound
A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.
A Systematic Study of Behavioral Cloning for Scientific Data Annotation Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 270
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:23:39.168497Z
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.
Observation 081f8fbc-8c09-4536-9d9e-23ef4374d347 · inbound
Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation cites this paper.
Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T09:19:16.054643Z
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.
Observation 6a745e9a-e7ae-4a56-bd8c-db9e41f6e494 · inbound
Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation cites this paper.
Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T12:50:56.152971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bd776df-94a8-4991-b9c1-1abeee0f207f · inbound
TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward cites this paper.
TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:55:30.284275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.