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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 67 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 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 67 of 67 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:35:43.586438Z

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

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Outbound references

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Pith citing papers

Observation 06f79ac3-74eb-4c1e-be4e-5a691768c681 · inbound

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient cites this paper.

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 38

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source=pdf_text observed=2026-08-12T12:06:01.022735Z digest=sha256:8408bdda6c1b7705888a195f6851f338309bdcf9a57d2d447310750df18aabe4

Observation 74a0d82e-affe-4917-bb1d-b664d0bb0b0d · inbound

X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models cites this paper.

X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 44

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source=pdf_text observed=2026-08-12T00:56:59.648332Z digest=sha256:34a6759baf2f6b71176f42065c668f245a1d5d6bbc3fe2e5c8079c86e19118db

Observation 22401958-3c6b-421f-bbb3-6eddd3820e24 · inbound

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders cites this paper.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 31

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source=pdf_text observed=2026-08-12T00:59:25.258816Z digest=sha256:8f9d9d57c71986a14339b5b71e0c90b8b672f13ad983b0a1c7b6c45188037a57

Observation 59e5f7a2-20f4-4f52-ba20-21c13e29750a · inbound

Scaling Image Tokenizers with Grouped Spherical Quantization cites this paper.

Scaling Image Tokenizers with Grouped Spherical Quantization Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 6

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source=pdf_text observed=2026-08-11T23:20:11.079147Z digest=sha256:4bd839395677feae230ff67200bf458adfc852680d967cdf40d0890e78a3a247

Observation c2d735d8-4fb1-4c58-bd9c-c8d5abe60ea5 · inbound

Scalable Image Tokenization with Index Backpropagation Quantization cites this paper.

Scalable Image Tokenization with Index Backpropagation Quantization Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 25

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source=pdf_text observed=2026-08-11T23:15:46.358367Z digest=sha256:77e2f59d0d963096ca7b17e8d9e29abd3a138caef3065b7c84218aa4121b18c5

Observation 25bbee17-e5d8-4dfa-a61d-269935bd978d · inbound

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation cites this paper.

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 33

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source=pdf_text observed=2026-08-11T22:54:20.554558Z digest=sha256:aceba1e2ff10b25881cd0b863caae1ae6dd2421967c74fce803fb4dbd2c73ca5

Observation 81c6410c-c77a-4556-aead-686ffd165184 · inbound

ARCON: Advancing Auto-Regressive Continuation for Driving Videos cites this paper.

ARCON: Advancing Auto-Regressive Continuation for Driving Videos Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 41

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source=pdf_text observed=2026-08-11T22:11:52.684577Z digest=sha256:376c0229908bdd42e5778eb1384baaccf5101f1e6d558e5728c6e0659f6e9e5d

Observation 41b69b16-6f8d-49df-bf22-92d93e93017b · inbound

[MASK] is All You Need cites this paper.

[MASK] is All You Need Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 52

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source=pdf_text observed=2026-08-11T19:29:21.078076Z digest=sha256:de60ccefac71465debcb8102ff4821b3af63f1ed4f3f7e119f9595a6353b1c64

Observation 1865715b-0ec9-436d-8a7a-29ba1fe52158 · inbound

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer cites this paper.

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 71

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source=pdf_text observed=2026-08-11T15:33:13.333762Z digest=sha256:117c75496196a1394bc05451bd95a6faabefbf71274215f354d4071636e91a17

Observation 35c5d150-4866-4960-9c80-2f942aee740e · inbound

Causal Diffusion Transformers for Generative Modeling cites this paper.

Causal Diffusion Transformers for Generative Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 41

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source=pdf_text observed=2026-08-11T14:20:49.397062Z digest=sha256:6cecb86f9d9b00dca8f84bf76cad4f8608da1e38ca941c52bc36aa7df16f265e

Observation d461c9b0-df8f-42f6-9589-d06f33176927 · inbound

Next Patch Prediction for Autoregressive Visual Generation cites this paper.

Next Patch Prediction for Autoregressive Visual Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 57

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source=pdf_text observed=2026-08-11T11:37:42.055300Z digest=sha256:d0f9640f8de99331e991fcab04f9d0e1fd5aab77afa7263c20c08bdd8abbf4f9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:cdf291baad76d1df76759a5887c7664b68590669f474c3699bf86cc0917ae1ab

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=sha256:45000f8bed5b5175cf2b278f54cc0dfb1aac7d8db498b03f17b5f6384520ea09

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=sha256:064ea165599fea50d61ad8377cfd484b088ec07762d4f078d941178eed00b06b

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:b39c50d56af8f11d257149eb0f5003ad6686dfa044ed19d3290b16e7a061e6c1

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:acdd27b2cbff9194cff90610e3e2e5ee3df420b12785ed6fc21634d20db80d07

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=sha256:074126187a1b0e6552d53b1487c4cb43cff7c7ea89d8cdb762fa3f9949cd258b

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T23:51:43.934329Z digest=sha256:f15e83cb8ff656c2bd5541980ac15349dfdd8a59af29bdf85f6c6a27578f853f

Observation 2eb2c979-3db1-4656-a2c5-e564d5db7e1a · inbound

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models cites this paper.

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 17

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source=pdf_text observed=2026-08-16T10:35:43.586438Z digest=sha256:43f6f158e6edc554b2aa2a018069b5703007cf3ce8c0e1032660bb7d3227046e

Observation ac23fa63-2721-4487-bbe9-25f361d9f4bc · inbound

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation cites this paper.

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 50

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source=pdf_text observed=2026-08-15T23:09:10.826631Z digest=sha256:698c023f76320a780012fc1e59a0958f26e751417d7d67c0e9f0967862d09aa2

Observation 4b433d4f-0686-4bbb-b350-b52ac039d73f · inbound

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning cites this paper.

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 72

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source=pdf_text observed=2026-08-15T22:21:30.495041Z digest=sha256:dd0ddb2d040d32fded735c616e9a876d265664b531e76bfd2b9a5d9dd502ebce

Observation 5d2824b9-b490-4ea5-9cd5-26d9bd75015a · inbound

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation cites this paper.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 27

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source=pdf_text observed=2026-08-15T20:16:36.500770Z digest=sha256:c10ddbeb1c0c7fbc0764f53b98c3dde5bc0ba99a61713be541a354fce0130ead

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:a616449b25561cef0507a8d13dc6b022f5ecc3f326c87468ace6e7ac2c7097b3

Observation e26be366-baf3-45e7-a535-99a8b35cef6e · inbound

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge cites this paper.

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 13

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source=pdf_text observed=2026-08-15T20:54:59.019731Z digest=sha256:7d6a98732e3b0c0d2efb587d30ce2ba763705bd57cc6f58ce3c4c3984a8dd0b0

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=sha256:3839fd5109895dd5beb5612f302a545a12ff0cb216c6175c3ae5f745327a804f

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:bdbf8c96efc8876c8e1daa9c1a78cc0f06bcdd5bb02d2caecafc45d004a1ef20

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=sha256:2be0e46653289965efb438e92694829b45c450bbfe1a7236869e24607392ab90

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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source=pdf_text observed=2026-08-07T11:54:56.554487Z digest=sha256:efe4f5b4791a1432f17f21fe81abc53180c602b5becdbc8eb2469467e0aca838

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=sha256:26f1d84717687146efa1c779b59ff60b1bf5f740187cdc4137ff1e36ea63e524

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:b347f64a28b200875c1a5584ab3ea8678a12450c8bab470613a3b976695a3d3c

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=sha256:3e1f700b4a6d55b069cc093b8ec0e0c69ae6c4b6330592584ff4677b1706a821

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:e9bb5e5491914acc74e1dfeeb4d8f5e8ee2d3bed5b80850d7ccd4a2c2956083e

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:a32817979f7463f1365af0275717867fcd7df875801f3f937b6d5ae91bb36d05

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:a1653423226294cded9dcbd35060b11d590f8deb790e8711cb2b112f189af9ca

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:33:59.610675Z digest=sha256:e17fa425569433d6e4bf11ae1f27ff845b29f76dee635ccdc2b0884a569e7fab

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:12:46.580994Z digest=sha256:3059ca907d97a1a2e840bffa1529b2a8c021ed8fedb887ad0cb65a9973996437

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T16:42:25.803856Z digest=sha256:1ced9f4f513c11dab4c0bccc56815c6020df1e77732bc66be5569ef133d9d4eb

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

Resolution
unresolved
no resolver link, observed 2026-08-04T11:07:59.892644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:07:59.892644Z digest=sha256:ed9cad44d239883583e637fffd313520b94e53b336ebcb59630e514d99d78e4c

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T01:12:13.426640Z digest=sha256:003ef0d18679a37c91d38eaf4163c1fcb457b02e21556352ff73c257f2e48bdf

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T12:27:16.448513Z digest=sha256:553ef21c08cefd335fece8e091f0808e9a07844e7e6b688269b7b4f9099d5ab8

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T18:40:18.940889Z digest=sha256:f045e9ea2f606d0f3f18fe1a93626adc619c2fcad8d64927db9793098ca3a409

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

Resolution
unresolved
no resolver link, observed 2026-07-13T22:10:29.821610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:10:29.821610Z digest=sha256:fbc7b16d1aea846b293ff4ee2bb538f05c5eb34a72fcaca3976ee218c623980d

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:41:23.057949Z digest=sha256:a9273c3c5dfcd36779e93b9ac9335e05fc34d6dd1e8c4c41d784d4f8549c411c

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

Resolution
unresolved
no resolver link, observed 2026-07-12T21:00:35.123495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:00:35.123495Z digest=sha256:dcd70f2122ad8f681b6a42cfc435f9777dc27444fc0d5aaa18e0382b7108719a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:f0146913b806f42ab98af24bcb52b79b6b388ebfdfb05e58413e7bfe84758140

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T02:18:58.996355Z digest=sha256:ed8cc0588d4307ae1c00b0ee9c7f38c8cd00ad90b6b160de63dd454960fc9414

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T02:44:59.644215Z digest=sha256:66155349fc4270300ef3bc574d11de0dd0a196941351deca2983ef51a8be3ecf

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T02:10:18.004724Z digest=sha256:6f7231707060163b4d7bbe4dc39d4688abd13e7035b154392a11a3ea821ee9b7

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

Resolution
metadata mismatch
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T22:41:44.510546Z digest=sha256:12e388c7bf9848163656e479258277f955abf4d3bf9a619f5c8472959588f519

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T12:04:19.761430Z digest=sha256:4c49887ede776ecb7fb84a53e82cf66b8e7295927fd58d2363d418b546e4957e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T11:01:24.738195Z digest=sha256:6bb7e2b5b9fef61d6844267aa1007d3d1b8583156040805c1400c6c8df741a49

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T05:47:21.834145Z digest=sha256:6304412a3d0bd3579e04e53b7988e6241ec48ec828809a32e3815a6a5b11c03b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T22:42:20.280777Z digest=sha256:dae4c50c0dc7a8760e4ceff6ea30421637558a54c8cb9f13fc83d465b48e8e6b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T15:39:15.744954Z digest=sha256:cdeb11044cd838bb20f68b3b9fe697d8979488fd3e4eb801af89b0b7bccb9e6d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T13:10:14.308216Z digest=sha256:596f0fd84f0a32d256eecb26b9f29a47427f87a6d0b246777362783701c1553b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:0d7d05777ba960aa7c8fbb21da71f29b7757d2787c9ce8b7386a6de52e5eb81f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T09:08:25.661515Z digest=sha256:f07ce45dba2380df3715d034bbadcac92329fda0a72abd7ddc1a28008eb36195

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T23:15:09.253879Z digest=sha256:ee5d5769a1fb2d8f576d59e2b6f4c5b5487e79c8a6ac1a3f169eaa99dc3b0322

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T05:27:41.578243Z digest=sha256:d1392d49b1913097db826811b3b5a633a2c6b51c30df1cf864518d952e9fe007

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T06:29:01.706006Z digest=sha256:08405a26b18972ad34c3808ea32653c13b69ce4f7351432a0cb939c27cf31a70

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:19:21.647714Z digest=sha256:acbbb878defc45f75316af87611e2da4badca882a41366993ae8ed5518662458

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=sha256:011d1599160a61501e4e104c7dce59418c5c15abcc8f8a1a81dad445850f1f7d

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=sha256:98df18acea403b6a4075c33ef643b5b73662d54acdaffcc28fc7cd406aa1d468

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=sha256:18c06ea46f2350faa5866b3d71a53e458df29e6d9f8d0bdb00c22c9283a2c725

Observation a0e391c7-a656-417e-a3c7-b90697520443 · inbound

UniSpace: Unified Visual Representation and Scalable Multimodal Modeling cites this paper.

UniSpace: Unified Visual Representation and Scalable Multimodal Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:00.010792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:00.010792Z digest=sha256:54dc7d0b97ec37d7a745a016fcdac123ea84d558a52a2bf36fadbe66347592b8

Observation a3d70d31-22c6-4f7d-880d-9b612783c871 · inbound

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling cites this paper.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.503040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.503040Z digest=sha256:90f3490b45ddff8c90485b208fea77d3145565358ffc9faa98f0d09509898e86

Observation 1715a996-a8eb-4e7c-93d8-7855af826bc1 · inbound

V-RAE: Rethinking Video Latent Spaces for Generation cites this paper.

V-RAE: Rethinking Video Latent Spaces for Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:16:07.468746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:16:07.468746Z digest=sha256:572b19708dd1482cd75cef080396f378108dfc290adf323b1488fe5b8bdb81a7