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Paper Citation Record · LEDGER

Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 inbound Pith citation observations for arXiv:2409.04410.

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

pith.paper-citation-record.v1
2409.04410 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:42:59.530247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:50.831210Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 60832de8-5a50-4a62-b49b-3f1d1ccf3b5b · inbound

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

Cosmos World Foundation Model Platform for Physical AI Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 129

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arxiv_id, observed 2026-05-10T23:38:45.713312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:5e666a6ef71c9acf873b0936e455df79ba896d0b5c36e27ac936a6e28c3b38db

Observation d1150234-0ab4-4371-985f-edad7e20c407 · inbound

Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens cites this paper.

Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 43

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source=pdf_text observed=2026-08-10T20:42:59.530247Z digest=sha256:d3792fe0bb157c90d36ba6165426c060a0e9fbea7af35a3470a6cd3ccee67a43

Observation 26cc9c35-b5be-4cc7-ac8b-0081a0a65547 · inbound

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression cites this paper.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 24

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source=pdf_text observed=2026-08-10T19:28:58.162629Z digest=sha256:3d0b2d2c92b88cea0a6e1c8749d97ab63b74d39f16ff15545fa5bcbbb9ffb36c

Observation f80fac7b-b119-4d2f-bb02-c87f05fd685d · inbound

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting cites this paper.

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 20

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source=pdf_text observed=2026-08-10T14:09:40.415195Z digest=sha256:06284b582f4fb7151bbb7c533684139901307dac6a0c28324198bd626e440d74

Observation 05e7bb6b-2071-4bd2-af05-adeeb6be7418 · inbound

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression cites this paper.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 30

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source=pdf_text observed=2026-08-08T22:55:57.780445Z digest=sha256:b053656c89ca06c19747ceb69f2c90e9f4993885c459ee4090efc62cc0e1d724

Observation 7e77d0d2-b0b7-446e-9b91-8b20da7b51cb · inbound

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation cites this paper.

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 54

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source=pdf_text observed=2026-08-08T20:04:02.250674Z digest=sha256:c60b7c0b8131f0340e177955b9db4017f9b8c02eb51bc3eb07d908a1cf837edf

Observation de09e0e8-a0c3-4719-99ce-a658578f6cd4 · inbound

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies cites this paper.

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 33

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arxiv_id, observed 2026-05-22T23:52:16.766118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T23:51:43.934329Z digest=sha256:a3b1a31e9caa8505ceca480d8efb6ac8b348f9beecf73f2a5f48025bd822b90c

Observation 35050779-3373-4db8-86c4-6890e908910d · inbound

Training-Free Watermarking for Autoregressive Image Generation cites this paper.

Training-Free Watermarking for Autoregressive Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 20

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source=pdf_text observed=2026-08-07T15:33:45.914528Z digest=sha256:22f6de32825b70e90c6661d5a2f6d9605a8b7d08f7c41d1e9e0bc0b681d9ce8d

Observation ee8e6a07-bc63-4621-a9a3-e1ad4c00bdc1 · inbound

Interspatial Attention for Efficient 4D Human Video Generation cites this paper.

Interspatial Attention for Efficient 4D Human Video Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 18

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source=pdf_text observed=2026-08-07T15:14:20.930688Z digest=sha256:15c4156b38d45c3948b3e97b4817b124599f4f748c232d5774ef6ab8a4b51b33

Observation 3fecfe9b-a345-42f1-aa6a-339a35991465 · inbound

TokBench: Evaluating Your Visual Tokenizer before Visual Generation cites this paper.

TokBench: Evaluating Your Visual Tokenizer before Visual Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 28

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source=pdf_text observed=2026-08-07T14:37:41.105052Z digest=sha256:5ae37ea6aae7563a242347e9abead93f4b218ce153cda57776a22af4ec4913cc

Observation d5edde25-459b-4fdb-8432-9e94b657d3a9 · inbound

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression cites this paper.

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 38

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source=pdf_text observed=2026-08-07T14:16:16.536400Z digest=sha256:b050861b09ac060956a4c6ccb29b0617c9085980a11fa98831f623a47100b7b3

Observation 9b5793d3-3f71-4648-bbe0-e6557d1e8e80 · inbound

Humanoid World Models: Open World Foundation Models for Humanoid Robotics cites this paper.

Humanoid World Models: Open World Foundation Models for Humanoid Robotics Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:56.554487Z digest=sha256:16a78ec22864ca4bf8d18f1b5dad5c71f0765282b0cb6f7377de96db90b72c47

Observation 6f9fc475-2a7b-474b-983b-02f048fdfd11 · inbound

SpectralAR: Spectral Autoregressive Visual Generation cites this paper.

SpectralAR: Spectral Autoregressive Visual Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 34

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source=pdf_text observed=2026-08-07T04:17:49.165052Z digest=sha256:0d393c0cf41803fe1ba44608f69d77463e8f42e24e72d3fa73a6ed1e6ed3dca4

Observation 23bf9b36-5663-4246-ab20-c1661478bcf8 · inbound

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation cites this paper.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 24

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source=pdf_text observed=2026-08-06T21:49:43.576844Z digest=sha256:0ec651f2aeedc0f5ad38f61bb6edb7527b633dff8ac7950d095d061e53b00c0f

Observation ff2f85e6-844b-4225-8780-158474d501a5 · inbound

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers cites this paper.

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 28

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source=pdf_text observed=2026-08-06T21:07:24.365470Z digest=sha256:37df900ba8a7a9983b696dc720453469e2b91e2e30f4ad13c1d51b9455c14cee

Observation fcfe8a77-6e6f-4450-9185-deafc84b21d6 · inbound

Hita: Holistic Tokenizer for Autoregressive Image Generation cites this paper.

Hita: Holistic Tokenizer for Autoregressive Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 29

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source=pdf_text observed=2026-08-06T20:38:55.296352Z digest=sha256:7dd2a56f7d8022023bd0352438d36df62f2e7709c29f2f6c00b31ad3f0d36382

Observation 347ad2ab-9c45-40af-8a5f-7dd349dc16bc · inbound

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization cites this paper.

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 32

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source=pdf_text observed=2026-08-06T18:32:54.777950Z digest=sha256:f74196462b32a333665ec418a7f2d6cc69af1d4e86fa84628df51ce7e4b05ea1

Observation 0bd7620d-3deb-48ab-a162-7dd224c3d792 · inbound

Near-Field Variable-Width Beam Coverage and Codebook Design for XL-RIS cites this paper.

Near-Field Variable-Width Beam Coverage and Codebook Design for XL-RIS Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 5

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source=pdf_text observed=2026-08-05T20:07:36.587895Z digest=sha256:0062dfd2fd97349a77cc8ae7a804b3ade034f7885a6c24345249356ab312fc10

Observation 4fc79cfb-f55f-461a-9148-47ecfdc03d70 · inbound

Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation cites this paper.

Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 29

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source=arxiv_source observed=2026-08-05T17:33:59.610675Z digest=sha256:eb6e4497d2c3ca96c5f3218e2d91602209d3dfa22c68340d44e784bfc6142e21

Observation c4f05df4-2edf-460d-a1ef-5bd97dc6147c · inbound

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization cites this paper.

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 29

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no resolver link, observed 2026-08-04T18:12:46.580994Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:12:46.580994Z digest=sha256:5675971da0d59bb6ae864a0fabfdfa10dc646cde8e95a84f5c77183333044a39

Observation ad4c7bf3-cc60-4cee-9355-5dbc293f22ad · inbound

FluentAvatar: Flicker-Free Talking-Head Animation via Phoneme-Guided Autoregressive Modeling cites this paper.

FluentAvatar: Flicker-Free Talking-Head Animation via Phoneme-Guided Autoregressive Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 17

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arxiv_id, observed 2026-05-18T16:42:43.779902Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T16:42:25.803856Z digest=sha256:aef99733634f477c0eda9c43ad7b528b55b7e4a53da152b5d0807a167b1bee6b

Observation e4be6a38-5275-463f-bdea-3801fea22e07 · inbound

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction cites this paper.

IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 18

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source=pdf_text observed=2026-08-04T11:07:59.892644Z digest=sha256:28ac66cc98c199374ee3b56633bbf667871a9725fe6734e3dd2532f86daee416

Observation 5b1bf519-4281-4e10-b7fa-ecf85beb41a6 · inbound

Emu3.5: Native Multimodal Models are World Learners cites this paper.

Emu3.5: Native Multimodal Models are World Learners Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 60

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arxiv_id, observed 2026-05-18T01:12:13.590977Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T01:12:13.426640Z digest=sha256:a23f95a33d325e62a3bf7d4af6613efd51cee80c50b7ca853267961b86ab68ad

Observation 4f561f3e-0401-4ded-a5b3-1eee235b7bf0 · inbound

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control cites this paper.

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 33

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arxiv_id, observed 2026-05-22T12:31:31.997130Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T12:27:16.448513Z digest=sha256:e46a1b3e1aaac980e513a407e0ae91c99d0904d858f6acd911c722ff1386eb0e

Observation dcc55b68-674c-4069-9cb4-e267e5d8575f · inbound

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards cites this paper.

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 42

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arxiv_id, observed 2026-05-15T18:41:28.792582Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T18:40:18.940889Z digest=sha256:f87f6ab5df8adc9bbf2acd89f5cae869eab0c002ad15cf0e36135c5522f617e7

Observation cb7a8c9c-c91c-4887-a3d0-51f3179a16c1 · inbound

Revisiting Autoregressive Models for Generative Image Classification cites this paper.

Revisiting Autoregressive Models for Generative Image Classification Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 40

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source=pdf_text observed=2026-07-13T22:10:29.821610Z digest=sha256:7697816db7ec29b82987c0bcdbb9c23e7752aea12ca87e76ac730e942d6c8b0f

Observation c3d55679-e5b1-4c3f-bcc7-4ea2e6577609 · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 36

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arxiv_id, observed 2026-05-11T10:01:03.048325Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:41:23.057949Z digest=sha256:bbd59c0076b97d84e2b9c2e42e5a1a9e6a9246736d00147995ed78e58ae9f589

Observation 4f3de6df-876b-40dc-a23f-624d39be5347 · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 36

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source=pdf_text observed=2026-07-12T21:00:35.123495Z digest=sha256:5c088e5fc982b46de816b02cc365a566b2accaa24fa26153a8f83931ec8fc44e

Observation 985ae8cd-ea87-4ad6-885d-83e24cc3f028 · inbound

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations cites this paper.

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 24

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arxiv_id, observed 2026-05-11T21:51:11.569171Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:af8905ff8d834d9a3b5b5b1a54c0e50b8c33475227a419eb9c207c41606c53d5

Observation 8940b650-cf57-4a18-a050-c00d1cb6627b · inbound

AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation cites this paper.

AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 28

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arxiv_id, observed 2026-05-11T03:45:57.560296Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T02:18:58.996355Z digest=sha256:098d7906a84c883ee6769cb50f2887371bc46a07918907f74063c94cad26a00e

Observation 8206fcbc-36c7-4d79-9bcf-6b70f771af4e · inbound

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation cites this paper.

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 19

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arxiv_id, observed 2026-05-11T02:45:56.814357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T02:44:59.644215Z digest=sha256:2ef5619ef527a41bc3ab76996529e1d394b7731203decc49f0024f887dbdadf3

Observation 6229967e-206f-4a05-940a-37857ab60fba · inbound

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation cites this paper.

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 26

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arxiv_id, observed 2026-05-15T02:13:30.575015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:10:18.004724Z digest=sha256:cd5cbd50e357ca682d3857d438351cdf571e761976e2b2f5a03a939eb5e53606

Observation 73d603bb-b389-4bba-bf3c-ec160b3fd4de · inbound

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice cites this paper.

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 39

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arxiv_id, observed 2026-05-20T22:43:51.074082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T22:41:44.510546Z digest=sha256:0da409820ee078a8e04e02c1578e5dd25e6be730ddcdf9b1414666dcd8f554c4

Observation 14fdaf6f-ef02-4539-bb35-c64df2f84680 · inbound

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens cites this paper.

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 61

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verified exact
arxiv_id, observed 2026-05-20T12:08:15.788253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T12:04:19.761430Z digest=sha256:b6ae166fb10c7f34c942d124e7bb1cc1256ec923879df0a5725cb4a3cecd7a31

Observation 3ec1f911-62c2-4e81-9af7-34807fb6efb5 · inbound

Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.

Vision Foundation Models as Generalist Tokenizers for Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.484061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T11:01:24.738195Z digest=sha256:9bdd7d720206b472deb5882623e2ea54b1d154decdeb14bef4f2f0ac3f542100

Observation 9b86cf57-c2e3-45f2-85f3-543a1f838036 · inbound

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution cites this paper.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:49:40.890541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T05:47:21.834145Z digest=sha256:4c96d9beafe3971db04994722a3cd29f70458a0567073c14a8f9205aaf996120

Observation f1ed4aea-0621-4bb8-acf4-46a8f2f25347 · inbound

MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging cites this paper.

MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.023765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T22:42:20.280777Z digest=sha256:a2ed885a2d7c147ecb3a84762d4669f407e9777187c32a767710195325eb664b

Observation 7a1ae1db-0ab0-4a4a-97e9-2588ba7329d7 · inbound

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering cites this paper.

Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:15.740095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T15:39:15.744954Z digest=sha256:0ba3efcc2edd768241c5e5c8f82de1db909952744b3d86b52f6cea7a1cc31a53

Observation 91a599a7-5ba8-4feb-a32c-3c19314911bd · inbound

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder cites this paper.

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:37:40.217854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:10:14.308216Z digest=sha256:411604a43b16ea79d5a0adf76472e923e0493bfbd75c0eabc618bd855ed9d031

Observation bd2a13e7-4617-4f89-b924-0d3b765139af · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:38:28.889202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:12aea83c5331499ca6fe3defa1ec8f4d3fd551661789abcc9caf6a834d2e9fdc

Observation 15cb23f6-9c91-42bf-82c1-db03e4161824 · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:09:44.737291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T09:08:25.661515Z digest=sha256:8ad5c6cd8be8d12ab597f8180b2cea13e37909517a98eb5d453448a5fb5d6628

Observation 5193bfa6-f567-4651-98f4-99217a619ac0 · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:19:02.618784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-03T23:15:09.253879Z digest=sha256:26ac055fb770cb401814b5f68c4c3aa8b583269295f850aa4d5dd1d9fd148cef

Observation a605c0ce-1497-4283-ab18-78ffa1c77d35 · inbound

ViQ: Text-Aligned Visual Quantized Representations at Any Resolution cites this paper.

ViQ: Text-Aligned Visual Quantized Representations at Any Resolution Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:09:50.832762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T05:27:41.578243Z digest=sha256:5a8cd52df49a320e3b0f1a1660a73b2e6767085dc85a51396d017185ebc0cac8

Observation 4e0b7bf6-83b7-486c-abbb-6aad52799b9a · inbound

ViQ: Text-Aligned Visual Quantized Representations at Any Resolution cites this paper.

ViQ: Text-Aligned Visual Quantized Representations at Any Resolution Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:35:39.766107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:29:01.706006Z digest=sha256:38058abdfcfac4e7a149d0f7bc695f841f3069b59d05aac7dcc8a5aa007f8fb0

Observation 4c62d326-ba74-4c8f-adb4-10c1ebe76bf8 · inbound

GEAR: Guided End-to-End AutoRegression for Image Synthesis cites this paper.

GEAR: Guided End-to-End AutoRegression for Image Synthesis Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:35:42.607807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T05:19:21.647714Z digest=sha256:296541f1adce560dc30203f5c4f287256b4f6e1e339a4a9b0596a01c0d861d9f

Observation 4617ca67-b4a3-4d52-b1cd-c31c7c0dec31 · inbound

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling cites this paper.

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-31T22:25:12.408624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:25:12.408624Z digest=sha256:98fa62574627425c9b67fb2743c20f0f8edb8a8ecb60c38790829fa071a7d9b4

Observation da9f8d52-5178-44a1-9c1e-95eabd0f6b3f · inbound

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning cites this paper.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T07:30:52.282711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:30:52.282711Z digest=sha256:d8bcda2cf093393fa2105ee405413cad897192d5f49a71d372614e64c5879887

Observation 85644878-33a4-4527-ae97-f1c808b019a4 · inbound

GVC-RT: Towards Real-Time Generative Video Compression at Ultra-Low Bitrates cites this paper.

GVC-RT: Towards Real-Time Generative Video Compression at Ultra-Low Bitrates Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T14:19:13.486499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:13.486499Z digest=sha256:fadb641b09fa9df4d2a344907529847c3dea45f8e5a7ce7b04220020d751bcea