Pretrained Reversible Generation as Unsupervised Visual Representation Learning | Paper Citation Record

Observation 99306376-c015-45e6-a4a3-55f55aff946e · outbound

This paper cites Ac- curate structure prediction of biomolecular interactions with alphafold 3.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Ac- curate structure prediction of biomolecular interactions with alphafold 3

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:38.430123Z

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.

Observation ddbca9a6-b038-4d10-8a97-0a0e8aa0c40c · outbound

This paper cites Build- ing normalizing flows with stochastic interpolants.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Build- ing normalizing flows with stochastic interpolants

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:38.310727Z

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.

Observation 91bcdde1-0605-46af-b58e-6f5bee2a8201 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning All are worth words: A vit backbone for diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:38.205019Z

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.

Observation e2f8ad9a-079b-4b4d-aee0-f18a43f147bb · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.115204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe084ef8-736b-44a0-a199-aadc1efa6e63 · outbound

This paper cites Rep- resentation learning: A review and new perspectives.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rep- resentation learning: A review and new perspectives

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:38.064813Z

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.

Observation eb296319-bd0f-4f12-828b-660d917a0eff · outbound

This paper cites Generalized denoising auto-encoders as generative models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Generalized denoising auto-encoders as generative models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:38.050283Z

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.

Observation a7b91af9-a83d-4837-9d31-23b0e2771e63 · outbound

This paper cites Improving image generation with better captions.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Improving image generation with better captions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.131854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1216306f-85f8-4710-a12d-ca0492bfe18d · outbound

This paper cites Diffusion models are certifiably robust classifiers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Diffusion models are certifiably robust classifiers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.962643Z

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.

Observation 3ac3dbd1-915f-4398-a5a8-f21f9acf839d · outbound

This paper cites Robust Classification via a Single Diffusion Model.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Robust Classification via a Single Diffusion Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.197623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f36a30-f9fc-4e2e-8d64-cad2120a6a41 · outbound

This paper cites Generative pretraining from pixels.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Generative pretraining from pixels

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.853933Z

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.

Observation 98e6abaa-1e96-45c4-a3e7-652106aa9f9f · outbound

This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:13:37.800258Z

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.

Observation b6b76e7f-2c96-4f67-a76c-c04452d0ec6c · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning A simple framework for contrastive learning of visual representations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.785689Z

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.

Observation b6ea3ddc-8cfe-422b-a806-091c29e61529 · outbound

This paper cites Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.770089Z

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.

Observation a6ee16ca-486e-4dc6-868a-4361b1c15b01 · outbound

This paper cites Text-to-image diffusion mod- els are zero shot classifiers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Text-to-image diffusion mod- els are zero shot classifiers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.328166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11c6766-5bb6-4206-b01e-ba5988360b64 · outbound

This paper cites Autoaugment: Learning augmentation strategies from data.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Autoaugment: Learning augmentation strategies from data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.735332Z

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.

Observation c3e14430-ce42-42d7-aed5-929f922b26e2 · outbound

This paper cites Large scale adversar- ial representation learning.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Large scale adversar- ial representation learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.720059Z

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.

Observation b9c43bbf-4f5a-404b-885a-c749f4a20351 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.403849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62925ac4-442e-4761-9dd8-4e73cfe4bcae · outbound

This paper cites Your classifier is secretly an energy based model and you should treat it like one.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Your classifier is secretly an energy based model and you should treat it like one

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.708578Z

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.

Observation a9959a3a-07bc-4917-9880-abc8b348618b · outbound

This paper cites Understanding the Limitations of Conditional Generative Models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Understanding the Limitations of Conditional Generative Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.411974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8404fd35-6446-4c31-8bb3-8dc9fff867b6 · outbound

This paper cites Scheduled denoising autoencoders.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Scheduled denoising autoencoders

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.416296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d43b95-1841-4d60-9cdb-7de077d58a2e · outbound

This paper cites Generative adversarial networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Generative adversarial networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.664296Z

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.

Observation 16e82cc0-d0f1-4b72-931d-92fe8988cbbb · outbound

This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:13:37.592590Z

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.

Observation 06b18a7f-2803-4ccc-8f59-4140fdc671f1 · outbound

This paper cites Deep residual learning for image recognition.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Deep residual learning for image recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.504153Z

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.

Observation 1a3ceb24-7d44-44a5-bc81-8f1be35021b1 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Masked autoencoders are scalable vision learners

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.433901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897755ec-2d21-4d6c-80e2-765c7b306de5 · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.462913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 880bf588-b18c-4084-9a73-ccaed8100cc5 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Denoising diffu- sion probabilistic models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.540717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c357716c-b319-4ed0-bd0b-88126f38a10f · outbound

This paper cites Video diffusion mod- els.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Video diffusion mod- els

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.470215Z

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.

Observation 5cfb5592-14a6-4e02-8b8b-198edc65699a · outbound

This paper cites DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:13:35.744357Z

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.

Observation f05e5e9b-8fae-4e9a-863d-96020b0c35e3 · outbound

This paper cites Hutchinson.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Hutchinson

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.450539Z

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.

Observation 01a5d2dc-00ab-4fbf-ba3b-ae79b1e5e436 · outbound

This paper cites Auto-Encoding Variational Bayes.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Auto-Encoding Variational Bayes

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.582789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f714a30d-b20d-40ff-b992-6da28fe52070 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Adam: A Method for Stochastic Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.586854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59e0726f-9bd4-4064-bd0b-01fd6549435f · outbound

This paper cites On the effectiveness of adversarial training against common corruptions.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning On the effectiveness of adversarial training against common corruptions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.435809Z

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.

Observation 329e91be-a62b-40b6-90ca-c61bbd6887fb · outbound

This paper cites Learning multiple layers of features from tiny images.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Learning multiple layers of features from tiny images

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.594260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd8f3bc-5dd1-4d9f-b5a5-cc98848073a8 · outbound

This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.598727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aeadaf4-538d-4311-9b17-558a03a0ed9b · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Your diffusion model is secretly a zero-shot classifier

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.402214Z

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.

Observation af2ed541-f0a3-4157-b343-5c64c8a3ebe9 · outbound

This paper cites An application of the principle of maximum in- formation preservation to linear systems.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning An application of the principle of maximum in- formation preservation to linear systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.387074Z

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.

Observation ad544089-a5d9-401e-994e-2d425e847916 · outbound

This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:13:37.321722Z

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.

Observation 95f08782-6570-4d77-be2f-f35628ec4c4f · outbound

This paper cites Towards robust neural networks via random self- ensemble.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Towards robust neural networks via random self- ensemble

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.251153Z

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.

Observation 59e0cf18-1044-4bae-8788-4ec0526a4501 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.680048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd84399-b914-4c4c-bd18-d999ceafb7cd · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.683931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b22e4c1-4311-4bb7-aff6-ac1b6ad7d694 · outbound

This paper cites Good helper is around you: Attention-driven masked image modeling.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Good helper is around you: Attention-driven masked image modeling

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.182307Z

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.

Observation 063a14fd-439b-47f1-9caa-257e0193ab76 · outbound

This paper cites Maximum likelihood training for score- based diffusion odes by high order denoising score matching.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Maximum likelihood training for score- based diffusion odes by high order denoising score matching

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.164156Z

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.

Observation 93bc4d03-8831-491c-8114-c742f9a50634 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.697417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1057d45-f9e7-475d-b557-2d4f5704b360 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.738436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d929b00-36f4-40c3-91d6-d87bdda9dfb6 · outbound

This paper cites Symbolic Music Generation with Diffusion Models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Symbolic Music Generation with Diffusion Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.780039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49c4566-6546-4135-b59f-7fa44476d5b7 · outbound

This paper cites Diffusion based represen- tation learning.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Diffusion based represen- tation learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.147887Z

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.

Observation d312f3e3-9b65-4784-8c57-f1fd30dabb40 · outbound

This paper cites Probabilistic machine learning: Advanced topics.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Probabilistic machine learning: Advanced topics

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.129980Z

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.

Observation 367040f4-e371-408a-bb3e-57e0d7546341 · outbound

This paper cites On discriminative vs.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning On discriminative vs

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.114441Z

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.

Observation 3d670aac-4632-4cbe-b763-995169ba6322 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Improved denoising diffusion probabilistic models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.807007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c74cc8-6c82-41e5-a2df-7a57a899b470 · outbound

This paper cites Diffusion models for adversarial purification.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Diffusion models for adversarial purification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:37.076219Z

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.

Observation bdfe2161-88aa-4fba-83c8-fd081d8802e5 · outbound

This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:13:36.897981Z

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.

Observation d625ae55-8e61-4477-8267-3967ae1b68a6 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.831132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd93fbce-b711-45bd-93b3-7af86a5577c0 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning High-resolution image synthesis with latent diffusion models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.785781Z

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.

Observation 2c4aeef7-d4cb-4f49-9d61-2c8fd1595e56 · outbound

This paper cites Bernstein, Alexander C.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Bernstein, Alexander C

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.772298Z

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.

Observation 0305ff6a-e4c0-4fd4-8daa-236efa98f54b · outbound

This paper cites Rethinking the spatial inconsistency in classifier- free diffusion guidance.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rethinking the spatial inconsistency in classifier- free diffusion guidance

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.758615Z

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.

Observation 231e5eb7-30d2-41b2-b385-2b303aa5344c · outbound

This paper cites D2c: Diffusion-decoding models for few-shot con- ditional generation.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning D2c: Diffusion-decoding models for few-shot con- ditional generation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.745684Z

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.

Observation 1e55cf2a-a1b9-445a-89f6-024df9e3d2b9 · outbound

This paper cites Deep unsupervised learning using 10 nonequilibrium thermodynamics.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Deep unsupervised learning using 10 nonequilibrium thermodynamics

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.700817Z

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.

Observation 47eb793b-c451-44ec-88fc-722ff7b53ce0 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Score-Based Generative Modeling through Stochastic Differential Equations

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.979816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718e6cb8-f299-4004-b99f-c3116fa3681e · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Maximum likelihood training of score-based diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.567289Z

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.

Observation b06217e7-2d7d-41a7-b96e-e4c99a44794f · outbound

This paper cites Improving and generalizing flow-based gener- ative models with minibatch optimal transport.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Improving and generalizing flow-based gener- ative models with minibatch optimal transport

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.554831Z

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.

Observation be8401e1-0b74-4c2a-926b-6bb64ef1beb4 · outbound

This paper cites Neural discrete representation learning.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Neural discrete representation learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:34.995764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfb198c3-2837-4a87-bf4a-8452b10f58c1 · outbound

This paper cites an unresolved cited work.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:13:36.521470Z

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.

Observation 31d4fdc7-d5ed-4298-bb6a-7ff772253f8e · outbound

This paper cites A connection between score matching and denoising autoencoders.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning A connection between score matching and denoising autoencoders

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.506721Z

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.

Observation a4bab967-2be4-43cf-a6b7-4cb546e12977 · outbound

This paper cites Extracting and composing robust features with denoising autoencoders.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Extracting and composing robust features with denoising autoencoders

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.414903Z

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.

Observation 4194f76e-4928-4a21-b308-9a6e1ae40491 · outbound

This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.401014Z

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.

Observation 52ccbcd0-a212-4e46-81f8-a706d4e5cfbe · outbound

This paper cites Enresnet: Resnets ensemble via the feynman–kac formal- ism for adversarial defense and beyond.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Enresnet: Resnets ensemble via the feynman–kac formal- ism for adversarial defense and beyond

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.387865Z

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.

Observation 269f1e60-1e48-485e-85bd-3f33fd95e987 · outbound

This paper cites Phased consis- tency models.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Phased consis- tency models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.254023Z

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.

Observation cb15cbef-b558-4969-adff-25a97e9d285c · outbound

This paper cites Denoising diffusion autoencoders are unified self-supervised learners.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Denoising diffusion autoencoders are unified self-supervised learners

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.240092Z

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.

Observation f9c60d04-f693-4b7d-a355-41cbaf3cc278 · outbound

This paper cites Aggregated residual transformations for deep neural networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Aggregated residual transformations for deep neural networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:35.162748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model.

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.

Observation 9901600d-48c3-4893-a323-b61ba86e6f69 · outbound

This paper cites Pde+: Enhancing gen- eralization via pde with adaptive distributional diffusion.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Pde+: Enhancing gen- eralization via pde with adaptive distributional diffusion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.210753Z

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.

Observation c759b6b4-2895-48f7-8851-9b4f9549abd2 · outbound

This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:35.181969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb77837-0654-45cb-83ac-92c9b80280dc · outbound

This paper cites Wide Residual Networks.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Wide Residual Networks

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:35.186541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14cccf3f-5da5-4517-8f34-8d269a5b6e59 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning mixup: Beyond Empirical Risk Minimization

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:35.191558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf28d8cc-d3a8-4e49-9e76-80728d1e9183 · outbound

This paper cites Revisiting generative poli- cies: A simpler reinforcement learning algorithmic perspec- tive, 2024.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Revisiting generative poli- cies: A simpler reinforcement learning algorithmic perspec- tive, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.187616Z

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.

Observation 3f2a8f8f-41a7-4e5f-8c8c-6f75b04bcd38 · outbound

This paper cites Im- proved techniques for maximum likelihood estimation for diffusion odes.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Im- proved techniques for maximum likelihood estimation for diffusion odes

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:36.079069Z

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.

Observation ad662e29-3f47-4056-891e-f55136a8b94a · outbound

This paper cites Score-Based Generative Classifiers.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Score-Based Generative Classifiers

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:35.456634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers