Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Q-Diffusion: Quantizing Diffusion Models
As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.04304.
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 2026-07-23T06:31:01.910684+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T11:46:50.520083Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:45:48.747982Z
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 b0ad8cff-4b92-4077-8652-86a4fdee2655 · inbound
FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling cites this paper.
FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling Q-Diffusion: Quantizing Diffusion Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:21:07.986625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation e5da01f5-61cd-4971-b213-717808db52a7 · inbound
OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner cites this paper.
OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner Q-Diffusion: Quantizing Diffusion Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:11:02.275990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation b50a942c-e13d-44e0-b753-d53dfe48323f · inbound
AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation cites this paper.
AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation Q-Diffusion: Quantizing Diffusion Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:43:49.776552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 3ad43853-aab0-4cb3-b341-e64000ad351f · inbound
JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators cites this paper.
JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators Q-Diffusion: Quantizing Diffusion Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:45:48.749505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 3c085ed7-cc64-4866-a034-796922d3d03c · inbound
JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators cites this paper.
JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators Q-Diffusion: Quantizing Diffusion Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:46:50.520083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.