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Paper Citation Record · LEDGER

Autoregressive Image Generation without Vector Quantization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 53 inbound Pith citation observations for arXiv:2406.11838.

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

pith.paper-citation-record.v1
2406.11838 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 53 of 53 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:32:46.600985Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 125ddf1a-becc-4768-b27d-ad19755f2a1c · inbound

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching cites this paper.

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching Autoregressive Image Generation without Vector Quantization

Reference 117

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arxiv_id, observed 2026-05-16T06:06:41.430014Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T06:06:41.348728Z digest=sha256:a2ba88a0e01b09046b71841230e489cbc58476a961fb1b7d712486bfab552c41

Observation b78307e7-479a-4bf1-91ac-3f9cb7b40537 · inbound

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation cites this paper.

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation Autoregressive Image Generation without Vector Quantization

Reference 46

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arxiv_id, observed 2026-05-15T22:09:16.155814Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:09:16.001309Z digest=sha256:d265655a5f55c73fe02ea6356c1d2e2a295e9558bc9d6c57300728010f237917

Observation a0c98bee-3d80-4952-85f2-a63a269139f0 · inbound

Scaling Diffusion Language Models via Adaptation from Autoregressive Models cites this paper.

Scaling Diffusion Language Models via Adaptation from Autoregressive Models Autoregressive Image Generation without Vector Quantization

Reference 150

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arxiv_id, observed 2026-05-20T19:59:36.637945Z

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source=arxiv_source observed=2026-05-20T19:59:36.461146Z digest=sha256:27547ed55566508381ab2711e287018745494311c57c5167672b4309b3dcbfc3

Observation 4668aa73-4b97-4cd5-9c65-150ab26f9adb · inbound

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step cites this paper.

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step Autoregressive Image Generation without Vector Quantization

Reference 83

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source=pdf_text observed=2026-08-10T15:32:46.600985Z digest=sha256:a4f19c904cba12dea4c963116cd4e0ac7d78dbe895894fb74641e05fed12dde6

Observation e482fe41-f8dd-427a-916c-e3c4228f9847 · inbound

Visual Generation Without Guidance cites this paper.

Visual Generation Without Guidance Autoregressive Image Generation without Vector Quantization

Reference 32

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source=arxiv_source observed=2026-08-10T14:26:21.832857Z digest=sha256:51b80228d41908de47a50a38bb3fd549d38a945d9e879acaf77d1bbbec9f750a

Observation d9a31b7c-f6bf-419a-a06b-de303ddf1f8d · inbound

Diffusion Autoencoders are Scalable Image Tokenizers cites this paper.

Diffusion Autoencoders are Scalable Image Tokenizers Autoregressive Image Generation without Vector Quantization

Reference 30

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source=arxiv_source observed=2026-08-09T22:56:36.099974Z digest=sha256:86560c60c882880009c6c8889ce3f8df395ce21fd51222bd705f2d07fd806841

Observation 2aade4e7-401c-4e09-85dc-1f1e7567d03d · inbound

Visual Autoregressive Modeling for Image Super-Resolution cites this paper.

Visual Autoregressive Modeling for Image Super-Resolution Autoregressive Image Generation without Vector Quantization

Reference 8

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source=pdf_text observed=2026-08-09T21:47:59.532575Z digest=sha256:c38546cb018062e97a3194924d15d89f16fe81105b2ec465a04b2f80bb7afb88

Observation 8bfeee68-77e3-478d-bb90-dc568424a771 · inbound

Exploring Representation-Aligned Latent Space for Better Generation cites this paper.

Exploring Representation-Aligned Latent Space for Better Generation Autoregressive Image Generation without Vector Quantization

Reference 11

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source=pdf_text observed=2026-08-09T19:22:41.685911Z digest=sha256:6d6c025df8e0e69001b61cd85c2e260f07796904c83e116ad9a700a2477f8153

Observation be224185-87b4-4dbc-9887-509cfa9d7f58 · inbound

Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.

Sundial: A Family of Highly Capable Time Series Foundation Models Autoregressive Image Generation without Vector Quantization

Reference 12

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arxiv_id, observed 2026-05-23T04:32:33.955847Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:28:55.141475Z digest=sha256:45560c656ab890efd5960f3341f792f2a690455d775d36a38ae4773f4c9e8416

Observation c653cda2-b02d-44b6-8d3c-bdaf703ab60b · inbound

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction cites this paper.

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction Autoregressive Image Generation without Vector Quantization

Reference 54

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source=pdf_text observed=2026-08-09T11:59:06.764258Z digest=sha256:3ed84716bc9c9045d233f94f11f7fbf656dac73027f85f686850b5313d76ae84

Observation a6213946-386f-4db0-9baf-0a3be80f7522 · inbound

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

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Autoregressive Image Generation without Vector Quantization

Reference 27

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source=pdf_text observed=2026-08-08T22:55:57.765064Z digest=sha256:a6d638449ad930fc124b189dbe267ed2257cb55406b1649e20ef72cd62418669

Observation 6568808b-1e99-49bf-ba5e-39682e750b89 · inbound

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling cites this paper.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Autoregressive Image Generation without Vector Quantization

Reference 9

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source=pdf_text observed=2026-08-07T21:17:55.950672Z digest=sha256:467b3bc9db6a663c3cae23e5d22e09a5cce19d0e89c95bc3d639f82e494fc88a

Observation 2e9737cb-a364-433e-bf98-8b887376aa71 · inbound

Unified Video Action Model cites this paper.

Unified Video Action Model Autoregressive Image Generation without Vector Quantization

Reference 28

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arxiv_id, observed 2026-05-13T17:50:29.755677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T17:50:29.675358Z digest=sha256:946d792f8ac0216349133cd46d2aff78dddfc553a18e44dbfac26ac4059a2e69

Observation baca9501-84d3-4a49-bd02-1af8f47365a3 · inbound

MARRS: Masked Autoregressive Unit-based Reaction Synthesis cites this paper.

MARRS: Masked Autoregressive Unit-based Reaction Synthesis Autoregressive Image Generation without Vector Quantization

Reference 16

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arxiv_id, observed 2026-05-22T14:51:42.679586Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T14:48:35.211157Z digest=sha256:3af93c96279447b634ea59d955f56043b6a3eec5a006646faf146c2dec340849

Observation cb8defb5-873d-46e9-9eb1-3f9540d81714 · 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 Autoregressive Image Generation without Vector Quantization

Reference 26

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source=pdf_text observed=2026-08-07T14:16:14.884901Z digest=sha256:1e6ae975b64ee5aa9a986cd0a9fe03bf382a9fb6908dc2bf460c5854e4fa4e1a

Observation dedbf24c-5b3a-47e3-9845-6dfd5df62e22 · inbound

LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework cites this paper.

LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework Autoregressive Image Generation without Vector Quantization

Reference 14

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source=pdf_text observed=2026-08-07T12:33:36.235172Z digest=sha256:4f6cca53afcb0e1cea32ad7dee6bc0d11869f3eb82a07d2f37e14e4eb3525828

Observation 10daad06-c283-4393-b302-ca902aa47394 · inbound

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling cites this paper.

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling Autoregressive Image Generation without Vector Quantization

Reference 28

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source=arxiv_source observed=2026-08-07T12:03:27.759769Z digest=sha256:c82f868fa16a7c6777f29deff41dfc1e859be2f124601d659337c92c3b4c7df4

Observation 7cd156e9-0f03-46af-80cd-2e2aa83ec3e0 · inbound

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction cites this paper.

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction Autoregressive Image Generation without Vector Quantization

Reference 38

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source=arxiv_source observed=2026-08-07T11:58:37.209661Z digest=sha256:21bfd77c72e8195e8ee4e4efb2e6164b0c803c9b5a9bafb848db505d57d25726

Observation 773edda9-b519-40e9-bd44-3fbd4b748581 · inbound

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval cites this paper.

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval Autoregressive Image Generation without Vector Quantization

Reference 17

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source=pdf_text observed=2026-08-07T11:12:17.568138Z digest=sha256:0bf3be145d42088b3fb621a07d6f1d767a2f47183a6f1e7b75ed9154b4147bb3

Observation f010938b-84c8-479d-a958-267d9fb0390b · inbound

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis cites this paper.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Autoregressive Image Generation without Vector Quantization

Reference 41

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source=arxiv_source observed=2026-08-07T06:02:59.635645Z digest=sha256:8677b85738cc9437086a06dda3a9c5d57a0b72554b8819114a33b564214cd658

Observation 5f1e3e6b-773d-4c51-8945-3fe4e201cf36 · inbound

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation cites this paper.

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation Autoregressive Image Generation without Vector Quantization

Reference 12

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source=arxiv_source observed=2026-08-07T05:26:02.200117Z digest=sha256:259a74c9dda4e42494c62326bf80c2bdaf965cc97e3342a1b746ca8f3839b654

Observation 20bbb047-5818-4a12-b461-ddeddd31e9ce · inbound

SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping cites this paper.

SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping Autoregressive Image Generation without Vector Quantization

Reference 16

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source=pdf_text observed=2026-08-07T05:05:00.132581Z digest=sha256:14f5c6e28d1c78a6456643beb0b42fd2b2d56940254114ee9d90881c3675e825

Observation 7b78f69d-f61f-4bc9-87f5-6da2c7246e5b · inbound

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling cites this paper.

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling Autoregressive Image Generation without Vector Quantization

Reference 18

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source=pdf_text observed=2026-08-07T00:52:02.719163Z digest=sha256:92058770dc8be29cfbc03084491dc347ff14ebc2548538eb15dc8ca64e7231fb

Observation ecad8412-2e16-4dd4-b058-200cee88a676 · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models Autoregressive Image Generation without Vector Quantization

Reference 61

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arxiv_id, observed 2026-05-12T18:51:15.984873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T18:51:15.428692Z digest=sha256:d7b80befade459ccb8a9018b6d3c15630537a8fd0957ce0ca22bd64d0e10d1a8

Observation e1a0a724-3c4e-4cd3-b512-fdd9836a6406 · inbound

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction cites this paper.

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction Autoregressive Image Generation without Vector Quantization

Reference 14

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source=pdf_text observed=2026-08-07T13:20:15.647292Z digest=sha256:de3e0624769bf4f15d5ba5f94c3045d686e0dffdfbad1ab934bc1cbc38573e30

Observation 9cdfc5a1-0612-4ffa-8eb5-ab539c18fc5d · inbound

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation cites this paper.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Autoregressive Image Generation without Vector Quantization

Reference 19

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source=pdf_text observed=2026-08-06T22:06:35.291074Z digest=sha256:9b79e374462780a7d0c5698d2b51d167a0bddf1fa54e21cc0b957fa25abd64cc

Observation 11f53f2a-9ad8-48f1-b5bc-c20e4fc7800d · inbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation Autoregressive Image Generation without Vector Quantization

Reference 27

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source=pdf_text observed=2026-08-06T20:38:55.067070Z digest=sha256:952e792ed2ceb3172688b6f2b60ea777fb0946f92f2255ed5dcaf8497d562517

Observation c10c863c-d847-43fd-8816-92ce40ed4b2a · inbound

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading cites this paper.

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading Autoregressive Image Generation without Vector Quantization

Reference 12

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source=pdf_text observed=2026-08-06T19:40:15.539967Z digest=sha256:8cba700ff80f28e802f40cc8404ddaec5bdaf13e52a4f918c6d09fc1365d7755

Observation 7457cd7f-a098-4381-8288-37a4f9e18515 · inbound

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction cites this paper.

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction Autoregressive Image Generation without Vector Quantization

Reference 56

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source=arxiv_source observed=2026-08-06T17:52:01.305060Z digest=sha256:f3328005066cb71ae84fb3d3b5461787e2f2f4f3499818f9ae75e173c444e195

Observation 65e9596d-df25-4270-9e01-7f6ddaa0cb37 · inbound

ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation cites this paper.

ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation Autoregressive Image Generation without Vector Quantization

Reference 24

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source=pdf_text observed=2026-08-06T05:59:15.532357Z digest=sha256:d012081147ba36ecd49b6324f395cc826a07e1f1961dcb114aa6085c65dfd9ce

Observation 3e59b044-fbeb-49a9-a081-fc883f151de8 · inbound

Real-Time 3D Vision-Language Embedding Mapping cites this paper.

Real-Time 3D Vision-Language Embedding Mapping Autoregressive Image Generation without Vector Quantization

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:52:01.107998Z digest=sha256:ca9b340e46a0f287191aa4c3690f9af6f2f8d3c3a8814bd4b756ae755e42e150

Observation 6e8c5c59-9594-4e39-b972-1cd22596e5c6 · inbound

CLEAR: Continuous Latent Autoregressive Modeling for High-quality and Low-latency Speech Synthesis cites this paper.

CLEAR: Continuous Latent Autoregressive Modeling for High-quality and Low-latency Speech Synthesis Autoregressive Image Generation without Vector Quantization

Reference 33

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source=pdf_text observed=2026-08-05T16:01:52.689870Z digest=sha256:61a8aed0d0b6ec932231ed86833a726aad52dfa7f0231e13bf2b93b4e5e7fb2b

Observation 2d15e21b-4275-40e6-ac1b-4818a597a7fd · inbound

Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing cites this paper.

Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing Autoregressive Image Generation without Vector Quantization

Reference 28

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no resolver link, observed 2026-08-05T12:07:34.356994Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:07:34.356994Z digest=sha256:862f80f174750a89263d5248334b18a3baa35583366404fd88a64d8ff4b30afe

Observation ce1046e3-baec-44c2-b807-bf1b4983e4f2 · inbound

Missing Fine Details in Images: Last Seen in High Frequencies cites this paper.

Missing Fine Details in Images: Last Seen in High Frequencies Autoregressive Image Generation without Vector Quantization

Reference 29

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no resolver link, observed 2026-08-05T05:27:34.260303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:27:34.260303Z digest=sha256:4bbc5f7e73b07450f0e810f985b4efada568a7e300dffd1bc433e24addf91853

Observation cd52850b-ec69-4171-bd97-f1bf4cd5b6de · inbound

World Modeling with Probabilistic Structure Integration cites this paper.

World Modeling with Probabilistic Structure Integration Autoregressive Image Generation without Vector Quantization

Reference 62

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source=pdf_text observed=2026-08-04T20:07:03.340754Z digest=sha256:aa0554b784d3c40f2c9bad135fb8d730ea1448f3b6dc539eda5eb338302e79d7

Observation 446f4224-f419-4f9c-8afb-694c7fff1172 · inbound

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

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization Autoregressive Image Generation without Vector Quantization

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:12:46.413499Z digest=sha256:914579c929b87341226338148a832aba019c736eefb654a93cc6be85a5b96db4

Observation ddc884f2-e89e-4162-9d1b-931ebbdb1cc0 · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Autoregressive Image Generation without Vector Quantization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T07:22:14.394080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:22:14.394080Z digest=sha256:2195811d6705a310321061822aa9a376637cdc2b93c6ab05df68f21a74efcc89

Observation 787ef202-d35b-4fa9-ab50-31e3543afb1e · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Autoregressive Image Generation without Vector Quantization

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:06:00.031802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:19:22.543462Z digest=sha256:e8f55e3bcc566a1349748aad23414a0424f2c2f886bf56187e81d841753b521d

Observation fb8cd8c1-e257-404d-a622-6f883f3648ad · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Autoregressive Image Generation without Vector Quantization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T16:35:03.279700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:35:03.279700Z digest=sha256:2bf40e23b7142a58f0c216c92e899ca93431be87451da1ce2b0b43ae97873f0c

Observation 4da86b3d-3d75-4218-9ed8-686454909ace · inbound

NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization cites this paper.

NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization Autoregressive Image Generation without Vector Quantization

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:01:13.663848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T05:56:52.205196Z digest=sha256:c7197bcadf4601c3990939d32854ddd7c25d91f401aa12c3c3127eaf48919748

Observation 5df0ceeb-4069-44fe-81af-c4435df11617 · inbound

CASCADE: Context-Aware Relaxation for Speculative Image Decoding cites this paper.

CASCADE: Context-Aware Relaxation for Speculative Image Decoding Autoregressive Image Generation without Vector Quantization

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:55:55.108189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:08:27.374066Z digest=sha256:effcac978cbf3b401d19837e6592cab998b901e823ce23876063eb3d0afbaf3f

Observation 11195ed6-f89b-48c7-afac-4870b7a5c75d · inbound

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation cites this paper.

CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation Autoregressive Image Generation without Vector Quantization

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:42:15.869370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T04:40:25.725622Z digest=sha256:1114a4e53a6c0786f54adda7106ee7b83880d449105ae2672781968b500ce71d

Observation af527313-38cf-4cd4-a697-068cc30399d6 · 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 Autoregressive Image Generation without Vector Quantization

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:51.047755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T22:41:44.510546Z digest=sha256:e5b414f31ad3b5e2b4bcecf27da50fcb9adb3f22c9994e555dd15a37df1d4d93

Observation 7ea5590a-3903-473b-9036-dd00d0c2f084 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Autoregressive Image Generation without Vector Quantization

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:03:15.284353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T11:59:54.139888Z digest=sha256:79e62f20765cf4147cb73e5141b90b06b5838ce64eb621e431ebc794559c20c8

Observation 951950ae-c8aa-464b-9366-89bd5c7d0ead · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Autoregressive Image Generation without Vector Quantization

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:45:00.703179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T18:39:40.667006Z digest=sha256:c74b4764bbc136760478d0aff976028ebe65ed84e703b7f618c36f921f1e2f10

Observation 08dfffa3-a1d9-42c4-b0b9-038ac0701895 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Autoregressive Image Generation without Vector Quantization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T13:49:19.696301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:49:19.696301Z digest=sha256:fb11d1aadb23f72e7bc437afaac44c1a17bdcfc42a60ba812910e31d544eb592

Observation dad91f52-f94d-41cf-9d64-0f721ae82904 · inbound

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

Vision Foundation Models as Generalist Tokenizers for Image Generation Autoregressive Image Generation without Vector Quantization

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.515389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T11:01:24.738195Z digest=sha256:dbd375a445facb2d2460e5d24a5943eaf09fda4cc76718b411b87f8e5fb25786

Observation a0a82740-a9c3-459f-b544-db1c8d9388a0 · inbound

Hierarchical Policy Learning via Spectral Decomposition cites this paper.

Hierarchical Policy Learning via Spectral Decomposition Autoregressive Image Generation without Vector Quantization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:04:20.717344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T06:54:29.971971Z digest=sha256:01c10f79f4b0be964346fe41b2601b3d71c036e00f20791e0c6f72e5a71644a1

Observation 1ac16127-092b-4769-94aa-2905eb528ac3 · inbound

MemLearner: Learning to Query Context memory for Video World Models cites this paper.

MemLearner: Learning to Query Context memory for Video World Models Autoregressive Image Generation without Vector Quantization

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:41.896692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T05:30:56.140465Z digest=sha256:3d637be13428c01aebd3432d4d7a02099ee35b885cfaafbceefbe553cb812c81

Observation 75a29bc3-bf2e-4ceb-8e48-8156a2afd77e · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Autoregressive Image Generation without Vector Quantization

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:43.379289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-03T17:34:37.552706Z digest=sha256:e3ec6154f9f9e3ebc92dcd8065876768cb48bf3e8714e49c0da1e5c80c7d842e

Observation fea5a449-874f-42bd-b6e4-43df16ca43f4 · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation Autoregressive Image Generation without Vector Quantization

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-03T12:14:42.016370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:14:42.016370Z digest=sha256:115a7910a93c2e2a8d58739a930a1b8c845db7edd332811e3808528ad2bb4e63

Observation 1b801f70-f9fc-4b67-82e0-5f53863603c0 · inbound

Beyond Token-Level Cross-Entropy: Fr\'echet Distributional Post-Training for Autoregressive Image Generation cites this paper.

Beyond Token-Level Cross-Entropy: Fr\'echet Distributional Post-Training for Autoregressive Image Generation Autoregressive Image Generation without Vector Quantization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T00:44:16.795663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:44:16.795663Z digest=sha256:e1255557dc3721b06cefa5dfdeed6b0d7a08b204e4f2ad7f4e15aed186fc0162

Observation 3f5ac14a-3f3a-4fc7-88bb-52131be6511c · inbound

Token Radius Attention for Efficient Video Generation cites this paper.

Token Radius Attention for Efficient Video Generation Autoregressive Image Generation without Vector Quantization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T06:03:02.524354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:03:02.524354Z digest=sha256:6f5b3d771249da0fdb19f2139f4630b186929d849476378a2abf775a8830a46c