Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:42.219145Z
Paper Citation Record · LEDGER
Clustering via Self-Supervised Diffusion
As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.04283.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
16 of 16 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3850c25b-1921-4833-bd14-bf0945ca0716 · outbound
This paper cites Continuous diffusion for categorical data.
Clustering via Self-Supervised Diffusion Continuous diffusion for categorical data
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:40.659688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c9a6682-dc9d-427f-aac9-18d3c0746d9d · outbound
This paper cites Empowering diffusion models on the embedding space for text generation.
Clustering via Self-Supervised Diffusion Empowering diffusion models on the embedding space for text generation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:58:42.810747Z
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 ece0d1bf-c3f8-4fe6-aaff-bf7ca8981a5f · outbound
This paper cites Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.
Clustering via Self-Supervised Diffusion Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.397523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5e5c6b7-079e-4980-8769-c87ca7fbc399 · outbound
This paper cites Understanding Diffusion Models: A Unified Perspective.
Clustering via Self-Supervised Diffusion Understanding Diffusion Models: A Unified Perspective
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.546564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8bf705a-ca0a-4829-9355-aaa8b6014f89 · outbound
This paper cites Step-by-Step Diffusion: An Elementary Tutorial.
Clustering via Self-Supervised Diffusion Step-by-Step Diffusion: An Elementary Tutorial
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.692577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 641eae8b-510c-40e3-bb9d-e7aa565e0f41 · outbound
This paper cites and Zisserman, A.
Clustering via Self-Supervised Diffusion and Zisserman, A
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.842081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8a61bc3-b823-4545-b618-687429bb05c1 · outbound
This paper cites Denoising Diffusion Probabilistic Models in Six Simple Steps.
Clustering via Self-Supervised Diffusion Denoising Diffusion Probabilistic Models in Six Simple Steps
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:42.013026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7495a7be-a721-4756-818c-3e9f76467152 · outbound
This paper cites Towards Demystifying Representation Learning with Non-contrastive Self-supervision.
Clustering via Self-Supervised Diffusion Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:42.117531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fb5c0ad-099f-42bc-8b99-df1de0efbf7a · outbound
This paper cites Deep Clustering with Features from Self-Supervised Pretraining.
Clustering via Self-Supervised Diffusion Deep Clustering with Features from Self-Supervised Pretraining
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:58:42.407949Z
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 f0fa6022-f08a-42f1-b939-20979fc0083d · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Clustering via Self-Supervised Diffusion Imagenet: A large-scale hierarchical image database
Reference 2011
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:40.558956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bad3c1f-b7cc-4428-a2ae-3edc11122c62 · outbound
This paper cites Learning generative visual models from few training examples: An incremen- tal bayesian approach tested on 101 object categories.
Clustering via Self-Supervised Diffusion Learning generative visual models from few training examples: An incremen- tal bayesian approach tested on 101 object categories
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.014419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32e7ab38-f9b6-4e49-93ba-0b222ebc75e7 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Clustering via Self-Supervised Diffusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:40.883109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e0966d9-10a8-403f-965c-2248ac916699 · outbound
This paper cites M., Vedaldi, A., Zisserman, A., and Jawahar, C.
Clustering via Self-Supervised Diffusion M., Vedaldi, A., Zisserman, A., and Jawahar, C
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.933147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf17c9fa-8ea1-4628-80bb-c692e4b53224 · outbound
This paper cites Tutorial on Diffusion Models for Imaging and Vision.
Clustering via Self-Supervised Diffusion Tutorial on Diffusion Models for Imaging and Vision
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:40.451630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b4b467d-db86-4b44-af7c-90fb5a493b06 · outbound
This paper cites Distributed mcmc inference in dirichlet process mixture models using julia.
Clustering via Self-Supervised Diffusion Distributed mcmc inference in dirichlet process mixture models using julia
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:58:43.040678Z
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 bb9b056e-bf54-424a-be04-80f8f38a0c1d · outbound
This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.
Clustering via Self-Supervised Diffusion DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:58:41.249935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.