KVAE: Family of Tokenizers for Multimodal Generative Models | Paper Citation Record

Observation 738a38b0-545f-4185-a25e-5273ff6c1ee1 · outbound

This paper cites Bitdance: Scaling autoregressive generative models with binary tokens, 2026.

KVAE: Family of Tokenizers for Multimodal Generative Models Bitdance: Scaling autoregressive generative models with binary tokens, 2026

Reference 1

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Observation 2cf5ec29-295d-4960-8f0d-451f2c896b44 · outbound

This paper cites OmniDoc-TokenBench.

KVAE: Family of Tokenizers for Multimodal Generative Models OmniDoc-TokenBench

Reference 2

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Observation 58e03af8-44a4-4176-9f42-fb71009e891d · outbound

This paper cites AOM Common Test Conditions v5.0.

KVAE: Family of Tokenizers for Multimodal Generative Models AOM Common Test Conditions v5.0

Reference 3

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Observation e0c328e6-e129-4c3b-94e2-3bc18372faf5 · outbound

This paper cites Kandinsky 5.0: A family of foundation models for image and video generation,.

KVAE: Family of Tokenizers for Multimodal Generative Models Kandinsky 5.0: A family of foundation models for image and video generation,

Reference 4

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Observation 1c9e3033-ed5a-4ebb-b5c2-9c9bc343525b · outbound

This paper cites Qwen2.5-vl technical report, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Qwen2.5-vl technical report, 2025

Reference 5

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Observation e7aec70c-cff9-4657-95a8-14e5ec270626 · outbound

This paper cites Stable video diffusion: Scaling latent video diffusion models to large datasets,.

KVAE: Family of Tokenizers for Multimodal Generative Models Stable video diffusion: Scaling latent video diffusion models to large datasets,

Reference 7

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Observation f4e01222-a462-47f1-8769-f251b1d97829 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models, 2023.

KVAE: Family of Tokenizers for Multimodal Generative Models Align your latents: High-resolution video synthesis with latent diffusion models, 2023

Reference 8

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Observation 08a77cb1-62c7-4212-be39-0d505c00db6c · outbound

This paper cites Bruinsma, Ana Lucic, Megan Stanley, Anna Vaughan, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A.

KVAE: Family of Tokenizers for Multimodal Generative Models Bruinsma, Ana Lucic, Megan Stanley, Anna Vaughan, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A

Reference 9

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Observation 2d1a6791-9ac9-4d11-a4a2-c6189f7f9025 · outbound

This paper cites Bradley and Milton E.

KVAE: Family of Tokenizers for Multimodal Generative Models Bradley and Milton E

Reference 10

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Observation 1dafd9e2-d524-463c-8765-c667503a3beb · outbound

This paper cites Efros, and Tero Karras.

KVAE: Family of Tokenizers for Multimodal Generative Models Efros, and Tero Karras

Reference 11

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Observation 8f99be9f-2c46-4c89-a8e8-634720a099f3 · outbound

This paper cites Video generation models as world simulators.

KVAE: Family of Tokenizers for Multimodal Generative Models Video generation models as world simulators

Reference 12

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Observation ac82de2f-508f-42f8-94f2-b3442585c127 · outbound

This paper cites Deep compression autoencoder for efficient high-resolution diffusion models, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Deep compression autoencoder for efficient high-resolution diffusion models, 2025

Reference 13

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Observation a01b3ac9-6c80-4101-a447-d258f2d05261 · outbound

This paper cites Dc-videogen: Efficient video generation with deep compression video autoencoder, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Dc-videogen: Efficient video generation with deep compression video autoencoder, 2025

Reference 14

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Observation 66f14d0a-fbab-440d-9a23-60e4be4f9113 · outbound

This paper cites Dc-ae 1.5: Accelerating diffusion model convergence with structured latent space, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Dc-ae 1.5: Accelerating diffusion model convergence with structured latent space, 2025

Reference 15

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Observation 8cfa0b25-621d-4ebf-a247-cdecb6287abc · outbound

This paper cites MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.

KVAE: Family of Tokenizers for Multimodal Generative Models MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

Reference 16

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Observation 39300b56-8bb8-49ca-a936-b46c8e8fdf26 · outbound

This paper cites Chien, Liuzixuan Lin, Hai Nguyen, Varsha Rao, Tristan Sharma, and Rajini Wijayawardana.

KVAE: Family of Tokenizers for Multimodal Generative Models Chien, Liuzixuan Lin, Hai Nguyen, Varsha Rao, Tristan Sharma, and Rajini Wijayawardana

Reference 17

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Observation 3208e4f5-b9a4-4f4e-9113-e86893969d43 · outbound

This paper cites Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V.

KVAE: Family of Tokenizers for Multimodal Generative Models Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

Reference 18

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Observation 68383886-6f37-4b0b-8661-df2658afe5cf · outbound

This paper cites Adversarial video generation on complex datasets, 2019.

KVAE: Family of Tokenizers for Multimodal Generative Models Adversarial video generation on complex datasets, 2019

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:48.971343Z

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Observation 81dcc4f3-3506-4684-ad39-9ab84632b47e · outbound

This paper cites High Fidelity Neural Audio Compression.

KVAE: Family of Tokenizers for Multimodal Generative Models High Fidelity Neural Audio Compression

Reference 20

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Observation 79456876-3f1f-4d7b-b238-e098f9074619 · outbound

This paper cites Irc-gan: Introspective recurrent convolutional gan for text-to-video generation.

KVAE: Family of Tokenizers for Multimodal Generative Models Irc-gan: Introspective recurrent convolutional gan for text-to-video generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:48.980726Z

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Observation 90a9e832-bdce-496d-afdd-d01c2ade3351 · outbound

This paper cites Taming transformers for high-resolution image synthesis, 2021.

KVAE: Family of Tokenizers for Multimodal Generative Models Taming transformers for high-resolution image synthesis, 2021

Reference 22

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Observation 4502afe0-0465-4f0f-9d01-890af4e52d42 · outbound

This paper cites Stable Audio Open.

KVAE: Family of Tokenizers for Multimodal Generative Models Stable Audio Open

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:48.989694Z

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Observation 5b1c7234-92ae-487b-b756-b6f47c997c35 · outbound

This paper cites Parker, Matthew Rice, CJ Carr, Zack Zukowski, Josiah Taylor, and Jordi Pons.

KVAE: Family of Tokenizers for Multimodal Generative Models Parker, Matthew Rice, CJ Carr, Zack Zukowski, Josiah Taylor, and Jordi Pons

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:48.994502Z

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Observation 42f007fe-896c-4768-a598-b7200889aeab · outbound

This paper cites The prism hypothesis: Harmonizing semantic and pixel representations via unified autoencoding, 2026.

KVAE: Family of Tokenizers for Multimodal Generative Models The prism hypothesis: Harmonizing semantic and pixel representations via unified autoencoding, 2026

Reference 25

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Observation 9afbd4dd-4573-449e-b4c3-10ea5566898c · outbound

This paper cites Gemmeke, Daniel P.

KVAE: Family of Tokenizers for Multimodal Generative Models Gemmeke, Daniel P

Reference 26

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Observation 6fe1651f-184c-4137-a0e1-f14a18e6255a · outbound

This paper cites BigVGAN: A universal neural vocoder with large-scale training.

KVAE: Family of Tokenizers for Multimodal Generative Models BigVGAN: A universal neural vocoder with large-scale training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.007973Z

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Observation cc499c7a-24e3-4967-9a5e-f6aaf1ad7721 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

KVAE: Family of Tokenizers for Multimodal Generative Models Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.012406Z

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Observation aee2644b-0f0f-44a3-ac52-1f0c0a3d1f37 · outbound

This paper cites Veo 3.1: Our leading video generation model.

KVAE: Family of Tokenizers for Multimodal Generative Models Veo 3.1: Our leading video generation model

Reference 29

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Observation b3bd5b17-09ff-45ff-9cea-0b4fa494d047 · outbound

This paper cites Ltx-2: Efficient joint audio-visual foundation model, 2026.

KVAE: Family of Tokenizers for Multimodal Generative Models Ltx-2: Efficient joint audio-visual foundation model, 2026

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Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.021526Z

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Observation d25e578e-3c43-4d82-b3b6-a4d102f65412 · outbound

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KVAE: Family of Tokenizers for Multimodal Generative Models Unresolved cited work

Reference 31

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Observation 51815ec0-39d4-4233-b438-7d728e498fc2 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

KVAE: Family of Tokenizers for Multimodal Generative Models Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 32

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Observation acfa54a4-7194-4056-9435-82f1d3aada79 · outbound

This paper cites Kingma, Ben Poole, Mohammad Norouzi, David J.

KVAE: Family of Tokenizers for Multimodal Generative Models Kingma, Ben Poole, Mohammad Norouzi, David J

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Observation ac1880fa-d3b4-45ba-b19f-e5d33fbb0059 · outbound

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KVAE: Family of Tokenizers for Multimodal Generative Models Unresolved cited work

Reference 34

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Observation 74b0e03a-b622-43c5-9b45-0d0faf6572eb · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers, 2022.

KVAE: Family of Tokenizers for Multimodal Generative Models Cogvideo: Large-scale pretraining for text-to-video generation via transformers, 2022

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Observation 388dabe9-9483-4020-a64f-bf40609068c2 · outbound

This paper cites Tangoflux: Super fast and faithful text to audio generation with flow matching and clap-ranked preference optimization,.

KVAE: Family of Tokenizers for Multimodal Generative Models Tangoflux: Super fast and faithful text to audio generation with flow matching and clap-ranked preference optimization,

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Observation 62f3ccf0-45f6-46a3-bae0-92d1aad6f2da · outbound

This paper cites Perceptual evaluation of speech quality (PESQ).International Telecommunication Union, 2001.

KVAE: Family of Tokenizers for Multimodal Generative Models Perceptual evaluation of speech quality (PESQ).International Telecommunication Union, 2001

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Observation 2f138c9e-758c-405e-b102-950da176a488 · outbound

This paper cites Video pixel networks, 2016.

KVAE: Family of Tokenizers for Multimodal Generative Models Video pixel networks, 2016

Reference 38

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Observation 2b8624e0-78ca-499b-bff4-74489982f7a5 · outbound

This paper cites Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms.Interspeech,.

KVAE: Family of Tokenizers for Multimodal Generative Models Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms.Interspeech,

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Observation 232dab4f-1757-46a5-87c7-363c5b97a577 · outbound

This paper cites AudioCaps: Generating captions for audios in the wild.

KVAE: Family of Tokenizers for Multimodal Generative Models AudioCaps: Generating captions for audios in the wild

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Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.069235Z

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Observation 9cddac63-115e-4f59-b7dc-a7ff81cc025e · outbound

This paper cites Kingma and Jimmy Ba.

KVAE: Family of Tokenizers for Multimodal Generative Models Kingma and Jimmy Ba

Reference 41

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Observation ac8ebf5b-0045-4547-8dd7-3bdecc1b4e8b · outbound

This paper cites Auto-encoding variational bayes, 2022.

KVAE: Family of Tokenizers for Multimodal Generative Models Auto-encoding variational bayes, 2022

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This paper cites Klingai enters the 3.0 era: All in one, one for all! kling 3.0 model now fully rolled out.

KVAE: Family of Tokenizers for Multimodal Generative Models Klingai enters the 3.0 era: All in one, one for all! kling 3.0 model now fully rolled out

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Observation c3bfd2f4-fbfe-402a-bb65-80e0edfc4a3e · outbound

This paper cites Carbon Emissions in the Tailpipe of Gen- erative AI.Harvard Data Science Review, 15(Special Issue 5), aug 20 2024.

KVAE: Family of Tokenizers for Multimodal Generative Models Carbon Emissions in the Tailpipe of Gen- erative AI.Harvard Data Science Review, 15(Special Issue 5), aug 20 2024

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Observation 5c12fc1a-6a0c-4df5-9492-f8bdbf88ce97 · outbound

This paper cites Ross, Bryan Seybold, and Lu Jiang.

KVAE: Family of Tokenizers for Multimodal Generative Models Ross, Bryan Seybold, and Lu Jiang

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Observation 11284e29-edbb-49d5-a292-19aed98a3d65 · outbound

This paper cites HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis.

KVAE: Family of Tokenizers for Multimodal Generative Models HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis

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Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.095870Z

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Observation 6df06d21-2e6f-4c84-9e10-0f5f86539d0c · outbound

This paper cites Plumb- ley.

KVAE: Family of Tokenizers for Multimodal Generative Models Plumb- ley

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Observation 0aaa8769-e8f5-470d-a322-8fcd01577bca · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models,.

KVAE: Family of Tokenizers for Multimodal Generative Models Hunyuanvideo: A systematic framework for large video generative models,

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Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.105028Z

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Observation 36e12cc6-4dc9-4036-9ac1-ee3691524038 · outbound

This paper cites Kandinsky video tools.

KVAE: Family of Tokenizers for Multimodal Generative Models Kandinsky video tools

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:51.078140Z

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Observation 31a7a776-c7af-4f4f-8bc8-1312dd7dcb93 · outbound

This paper cites Efficient training of audio transformers with patchout.

KVAE: Family of Tokenizers for Multimodal Generative Models Efficient training of audio transformers with patchout

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:51.062027Z

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Observation 127290f6-9b74-49d9-b344-b37a41322fd7 · outbound

This paper cites Eq-vae: Equivariance regularized latent space for improved generative image modeling, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Eq-vae: Equivariance regularized latent space for improved generative image modeling, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:51.046580Z

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Observation 998362ab-e4c9-4bf6-a90c-0ca4b683a950 · outbound

This paper cites High-fidelity audio compression with improved RVQGAN.

KVAE: Family of Tokenizers for Multimodal Generative Models High-fidelity audio compression with improved RVQGAN

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:51.031097Z

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Observation 5848a0cc-c2f6-482d-954d-dfa79c488168 · outbound

This paper cites REPA-E: Unlocking vae for end-to-end tuning of latent diffusion transformers.

KVAE: Family of Tokenizers for Multimodal Generative Models REPA-E: Unlocking vae for end-to-end tuning of latent diffusion transformers

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:51.015069Z

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Observation cc608454-847f-40a0-8459-3c9ccee14f2b · outbound

This paper cites DiffusionBench: On Holistic Evaluation of Diffusion Transformers.

KVAE: Family of Tokenizers for Multimodal Generative Models DiffusionBench: On Holistic Evaluation of Diffusion Transformers

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Resolution: verified exact; local_arxiv, observed 2026-08-07T23:24:50.096776Z

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Observation 83adf514-2156-4f71-a374-ffa46d3c452f · outbound

This paper cites Wf-vae: Enhancing video vae by wavelet-driven energy flow for latent video diffusion model,.

KVAE: Family of Tokenizers for Multimodal Generative Models Wf-vae: Enhancing video vae by wavelet-driven energy flow for latent video diffusion model,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.999575Z

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Observation e5363bd6-7328-439c-add9-f9aedcb225ab · outbound

This paper cites Generating novel, designable, and diverse protein structures by equivariantly diffusing oriented residue clouds, 2023.

KVAE: Family of Tokenizers for Multimodal Generative Models Generating novel, designable, and diverse protein structures by equivariantly diffusing oriented residue clouds, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.984146Z

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Observation 267aeaba-7451-409e-b2f4-67858bde79ba · outbound

This paper cites AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining.

KVAE: Family of Tokenizers for Multimodal Generative Models AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

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Observation 66ca06a4-e630-4e22-b35d-8cac8283534a · outbound

This paper cites Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability.

KVAE: Family of Tokenizers for Multimodal Generative Models Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability

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Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.151448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc391df-336e-415e-be70-460d0f658a11 · outbound

This paper cites an unresolved cited work.

KVAE: Family of Tokenizers for Multimodal Generative Models Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:24:50.969040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4353548-027b-4ca2-a114-f6b0f9e70e21 · outbound

This paper cites The song describer dataset: A corpus of audio captions for music-and- language evaluation.

KVAE: Family of Tokenizers for Multimodal Generative Models The song describer dataset: A corpus of audio captions for music-and- language evaluation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.954476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0d76d52-e54f-48d8-a3be-b4b6bbb0005b · outbound

This paper cites Balasubramanian.

KVAE: Family of Tokenizers for Multimodal Generative Models Balasubramanian

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.939257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b51194c7-d6ad-4f0a-8fe1-844428a199cb · outbound

This paper cites Transition matching distillation for fast video generation, 2026.

KVAE: Family of Tokenizers for Multimodal Generative Models Transition matching distillation for fast video generation, 2026

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.924914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1a2b48e-5f39-4930-9d4b-2590079c194c · outbound

This paper cites Blaschko, Albert Ali Salah, and Itir Onal Ertugrul.

KVAE: Family of Tokenizers for Multimodal Generative Models Blaschko, Albert Ali Salah, and Itir Onal Ertugrul

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.174272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b25390-cc78-405e-975f-b87ef68d0aea · outbound

This paper cites Alpamayo-r1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail, 2026.

KVAE: Family of Tokenizers for Multimodal Generative Models Alpamayo-r1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail, 2026

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.910624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6377f506-b873-48fb-9081-51f4cfa0c397 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

KVAE: Family of Tokenizers for Multimodal Generative Models Cosmos World Foundation Model Platform for Physical AI

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.183042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800b8ce9-b089-4322-971e-87cb2867cc2f · outbound

This paper cites To create what you tell: Generating videos from captions, 2018.

KVAE: Family of Tokenizers for Multimodal Generative Models To create what you tell: Generating videos from captions, 2018

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.895129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bbe6bb1f-7dfe-4235-8b32-0602637df5de · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books.

KVAE: Family of Tokenizers for Multimodal Generative Models Librispeech: An ASR corpus based on public domain audio books

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.880432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be565eb9-cfe7-46b6-bb9b-8be96549aa1e · outbound

This paper cites Parker, Zach Evans, CJ Carr, Zack Zukowski, Josiah Taylor, Matthew Rice, and Jordi Pons.

KVAE: Family of Tokenizers for Multimodal Generative Models Parker, Zach Evans, CJ Carr, Zack Zukowski, Josiah Taylor, Matthew Rice, and Jordi Pons

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.864864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b31fb12-eda1-4f4a-bf0f-82d1d1e71768 · outbound

This paper cites Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, and Yuming Du.

KVAE: Family of Tokenizers for Multimodal Generative Models Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, and Yuming Du

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.849477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca168e10-08e7-4eab-87da-b326e642041e · outbound

This paper cites Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson.

KVAE: Family of Tokenizers for Multimodal Generative Models Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.833535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ff90aab-604b-4284-bacd-ad48092a822b · outbound

This paper cites Qwen-Audio-VAE Technical Report.

KVAE: Family of Tokenizers for Multimodal Generative Models Qwen-Audio-VAE Technical Report

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:24:49.823936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 396ca9dd-f10f-4d1b-9a33-54a7aca03ca7 · outbound

This paper cites Qwen-Image-VAE-2.0 Technical Report.

KVAE: Family of Tokenizers for Multimodal Generative Models Qwen-Image-VAE-2.0 Technical Report

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.215146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a0de29-3159-47e1-bae3-88f9a00de7e8 · outbound

This paper cites Learning transferable visual models from natural language supervision.

KVAE: Family of Tokenizers for Multimodal Generative Models Learning transferable visual models from natural language supervision

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.817684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56dab5a3-9387-4627-a2a5-79b447587466 · outbound

This paper cites MUSDB18-HQ — an uncompressed version of MUSDB18, 2019.

KVAE: Family of Tokenizers for Multimodal Generative Models MUSDB18-HQ — an uncompressed version of MUSDB18, 2019

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.802189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 403980d2-0bb7-4e58-8a4e-b51a022855e0 · outbound

This paper cites EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and dereverberation.

KVAE: Family of Tokenizers for Multimodal Generative Models EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and dereverberation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.787304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 908a6963-34df-4061-9ae6-a918534a033b · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2022.

KVAE: Family of Tokenizers for Multimodal Generative Models High-resolution image synthesis with latent diffusion models, 2022

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.772663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df019351-9721-4388-8474-f420028c64c2 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2022.

KVAE: Family of Tokenizers for Multimodal Generative Models High-resolution image synthesis with latent diffusion models, 2022

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.757578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2ee0a73-a87d-4d66-8420-375818288256 · outbound

This paper cites Runway gen-4: Ai video generation with world consistency.

KVAE: Family of Tokenizers for Multimodal Generative Models Runway gen-4: Ai video generation with world consistency

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.742254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1381ca67-e28f-4a49-b640-88ed3f1cd99e · outbound

This paper cites Flow to the mode: Mode-seeking diffusion autoencoders for state-of-the-art image tokenization, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Flow to the mode: Mode-seeking diffusion autoencoders for state-of-the-art image tokenization, 2025

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.725842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f28f6329-029f-4897-a6f0-4573d0b56e2d · outbound

This paper cites Make- a-video: Text-to-video generation without text-video data, 2022.

KVAE: Family of Tokenizers for Multimodal Generative Models Make- a-video: Text-to-video generation without text-video data, 2022

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.710306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a188e79e-5a70-4a33-b517-84db242a8fa8 · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?arXiv preprint arXiv:2512.10794, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models What matters for representation alignment: Global information or spatial structure?arXiv preprint arXiv:2512.10794, 2025

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.255842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc40914-4d56-4056-b59a-1fdd5dd4ac21 · outbound

This paper cites Improving the diffusability of autoencoders, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Improving the diffusability of autoencoders, 2025

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.693904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76dfbbe9-c306-4d70-bad0-2e7965de56f9 · outbound

This paper cites Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2, 2022.

KVAE: Family of Tokenizers for Multimodal Generative Models Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2, 2022

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.678729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8570bb5d-e8b1-4fe9-8313-b7bdf698ea11 · outbound

This paper cites Ucf101: A dataset of 101 human actions classes from videos in the wild, 2012.

KVAE: Family of Tokenizers for Multimodal Generative Models Ucf101: A dataset of 101 human actions classes from videos in the wild, 2012

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.663478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19383de8-b3f2-4913-8671-bc2eb2dd16c3 · outbound

This paper cites Scenediffuser++: City-scale traffic simulation via a generative world model, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Scenediffuser++: City-scale traffic simulation via a generative world model, 2025

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.647889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95573368-f86d-4172-9e9e-868bfa40d269 · outbound

This paper cites Z-image: An efficient image generation foundation model with single-stream diffusion transformer,.

KVAE: Family of Tokenizers for Multimodal Generative Models Z-image: An efficient image generation foundation model with single-stream diffusion transformer,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.632963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5405c1df-101f-4983-925d-d8fbf8ec6146 · outbound

This paper cites an unresolved cited work.

KVAE: Family of Tokenizers for Multimodal Generative Models Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:24:50.617480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49e126f2-5c89-408a-bd6a-c64e1f68d805 · outbound

This paper cites Nextstep-1: Toward autoregressive image generation with continuous tokens at scale, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Nextstep-1: Toward autoregressive image generation with continuous tokens at scale, 2025

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.602974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54f8ed22-adc4-477d-aa77-894691e0c336 · outbound

This paper cites HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation.

KVAE: Family of Tokenizers for Multimodal Generative Models HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.291826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0cbf27-e6fc-431d-af41-a2baebeba92c · outbound

This paper cites Reducio! generating 1k video within 16 seconds using extremely compressed motion latents, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Reducio! generating 1k video within 16 seconds using extremely compressed motion latents, 2025

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.587939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation efee10b7-6d58-44ed-b07b-e9ab1e95acaf · outbound

This paper cites Metaxas, and Sergey Tulyakov.

KVAE: Family of Tokenizers for Multimodal Generative Models Metaxas, and Sergey Tulyakov

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.573136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23c4e403-bc4d-43c7-8fee-7ada83688ad1 · outbound

This paper cites Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.

KVAE: Family of Tokenizers for Multimodal Generative Models Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T23:24:49.306053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efeb5b68-bd37-45d3-a383-dc5adebe7538 · outbound

This paper cites Ssdd: Single-step diffusion decoder for efficient image tokenization, 2026.

KVAE: Family of Tokenizers for Multimodal Generative Models Ssdd: Single-step diffusion decoder for efficient image tokenization, 2026

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.558721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8046108-5b8b-4da1-b9d0-9f8cde99f1d4 · outbound

This paper cites Conditional image generation with pixelcnn decoders, 2016.

KVAE: Family of Tokenizers for Multimodal Generative Models Conditional image generation with pixelcnn decoders, 2016

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.544106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 235a4e58-ae68-4a14-8a35-8677b551f010 · outbound

This paper cites Neural discrete representation learning, 2018.

KVAE: Family of Tokenizers for Multimodal Generative Models Neural discrete representation learning, 2018

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.529444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcb04103-a5e0-40db-82c6-a454a4cc5187 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

KVAE: Family of Tokenizers for Multimodal Generative Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.514926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2283e7e1-6c9b-45bc-a3ee-a12990febe3d · outbound

This paper cites Generating videos with scene dynamics, 2016.

KVAE: Family of Tokenizers for Multimodal Generative Models Generating videos with scene dynamics, 2016

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.499693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d01af25-d7ad-4d26-9e55-82118e8e8c08 · outbound

This paper cites Wan: Open and advanced large-scale video generative models, 2025.

KVAE: Family of Tokenizers for Multimodal Generative Models Wan: Open and advanced large-scale video generative models, 2025

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.484897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69657ab6-1c35-43ea-8ef2-6a4476db2986 · outbound

This paper cites Wan-2.2 anouncement.

KVAE: Family of Tokenizers for Multimodal Generative Models Wan-2.2 anouncement

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.470707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76571650-0562-4483-9884-118e27a89523 · outbound

This paper cites an unresolved cited work.

KVAE: Family of Tokenizers for Multimodal Generative Models Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:24:50.456314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56c741e4-ba26-43b8-a506-dd18820a4bb4 · outbound

This paper cites Videomae v2: Scaling video masked autoencoders with dual masking.

KVAE: Family of Tokenizers for Multimodal Generative Models Videomae v2: Scaling video masked autoencoders with dual masking

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:24:50.442381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers