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Paper Citation Record · LEDGER

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2208.07791.

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

pith.paper-citation-record.v1
2208.07791 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:13:35.174119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T15:09:37.090718Z

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 2c6797f3-8776-47c7-abcb-286de450e8d1 · inbound

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think cites this paper.

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:09:37.093512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-12T15:09:36.982610Z digest=sha256:dd3bd96e21e4ca3ed71d9ed24451c6bb667ec663eb6ccca858ab937b9e61569d

Observation ee9ec43f-4c97-496b-8e8b-9c50896b3d6c · inbound

Pretrained Reversible Generation as Unsupervised Visual Representation Learning cites this paper.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T10:13:35.174119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:13:35.174119Z digest=sha256:52a5d98b966ac37712721896b286e7c7b8622431712b13607255d10a1b211dc7

Observation 8a220f16-0eee-475b-bbc3-a845355d8a87 · inbound

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising cites this paper.

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:37:01.957152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:37:01.957152Z digest=sha256:be59a2e8f2c2665d43772f3aa79f6f908e164cb08503f80f8a40f0227e51e03a

Observation 661ac599-2e4e-4db3-8fa2-7f2872b4238c · inbound

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:40.098572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:40.098572Z digest=sha256:879fae22afca4f96d62300c6db4de0387475a43a7090d645432cb08494499cca

Observation f505c106-aa0e-49cf-9ac6-d1c52a3c4c91 · inbound

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation cites this paper.

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:51.425376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:51.425376Z digest=sha256:a133f745048296257949980749de6e9c201bb0578cca626a563379ee76c5e347

Observation 098cebff-9c70-4917-9ca2-c78bdc072e48 · inbound

MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images cites this paper.

MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T10:59:44.108929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:59:44.108929Z digest=sha256:114548c2d8f35b366c9c76fbd6e449cc3520d72eba77ab50d319b0965e400e10

Observation 51aaf2b8-c807-4cba-b657-6221beb3dfed · inbound

Improving Joint Embedding Predictive Architecture with Diffusion Noise cites this paper.

Improving Joint Embedding Predictive Architecture with Diffusion Noise Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T15:44:53.599644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:44:53.599644Z digest=sha256:6b066fcecccdac043c1079fd2b547485881c79aff614bfdc278544c3b0924745

Observation ce981487-94ea-4530-83c9-6bef91ffb074 · inbound

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations cites this paper.

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:25:55.904368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:26:56.460904Z digest=sha256:cadfacf7ccae18cb987eddb086dcb671312c9737108508b566e8e8e336413831