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Paper Citation Record · LEDGER

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T15:09:36.982610Z digest=sha256:2a2f87e8634a59f003ad98311d8f260b1f4d9e9535ae00eff75b56592ab6a643

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=sha256:6e7676b714447c50c1743f14182647f0f36f8f0e61b87acb7130a65b1a536824

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=sha256:2577109b8c75932aafd2cb9728088cd991e9208fc89263d433ad9b382d4390c9

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=sha256:1d511e4816a432cb480f31c0d618b2baa60315ea6ecfe2f2de626a0ea3c867bd

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=sha256:484004138470fb8f05a95297744942ce1983ca55cdae9379793e349c4ed05584

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=sha256:536dce2ab6095a87c3ccba7c5ef5d45831936ab10f77899c5a1aad0df7d04b1b

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=sha256:951fe1f41636b92ff5325affd50a7e86c89cba73ca8a2a8ced6ba8df7ce7511a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T01:26:56.460904Z digest=sha256:eb2732f5d8c2175a099905ac389fb19f45708220acf22bce8180b001d74ef9f6