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Paper Citation Record · LEDGER

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2508.10711.

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

pith.paper-citation-record.v1
2508.10711 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:37:08.967195Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.418338Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation edc6200a-5307-46af-9c92-3cfdb25c77d6 · inbound

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models cites this paper.

Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T08:37:08.967195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:37:08.967195Z digest=sha256:2469bcee701c572ff3b05aeb16178ce461b1697829479b7f1c83b4d7dfbfe748

Observation bfdd9846-457f-4c2b-a6a0-fa98b8e20eea · inbound

PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks cites this paper.

PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:00:42.786426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T07:00:18.807922Z digest=sha256:9ad373b4dcb32f80695cbc216f26b1895ce9cca86dbd227543a55b5724956e73

Observation 0e7c4310-9f2e-41f7-9796-830036eaa138 · inbound

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens cites this paper.

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:02:19.780996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T05:01:11.880003Z digest=sha256:eeb3fa1b213df3b65932af32a6c20ecf85f3cb0bfaf54f8d3be1bf49431f45c8

Observation e985abad-9503-4258-b108-83fe222dc60d · inbound

Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting cites this paper.

Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:08:04.859807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T22:03:27.981438Z digest=sha256:7e758f0b4b6a22639c146330a399f38064253c5a51db60c08c06728eb84f3874

Observation f9844b41-8d17-4928-ba98-c896658bde83 · inbound

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation cites this paper.

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:50:37.073902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-15T12:50:13.764159Z digest=sha256:990e20832bd3aba0cbf2ce7b56e252e7f38cb65d0ac495d23908cfa9aa9f2bef

Observation 6f6ef27b-52ba-4d5a-9d5b-b6b30c7b23f8 · inbound

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation cites this paper.

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:40:58.113056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:00:50.105629Z digest=sha256:72ee77e70686e89a7f59d2be3889a3f14759d0528a941312edc98a801493c6df

Observation 4fa18364-f55a-4476-9e81-3af2ae313dab · inbound

Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator cites this paper.

Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:20:55.596964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:34:06.558546Z digest=sha256:552f2631c4f1ce28a9eef3a80a6921241e998b15324a00cf156617033002d29a

Observation 19bbb28e-7f47-4dba-b76f-fbf1bb4c1b2c · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:01:03.137066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:41:23.057949Z digest=sha256:b0ea05d2e30ed065112ec73ab7aa97af550120a35bb08d32da9dc667c2c0f99f

Observation 6472e8a1-d8f2-4a8e-8dc2-e3189779db30 · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 51

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=sha256:734a6c93eb2e75384dcfdcd7ef1811aac467ffc5ed155d41e06cfab97455dc31

Observation 26a7f1ea-5c29-474e-8958-77e998b00eb3 · 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 NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:11.560529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:8ac7bcd83dbcc185ccf1c86d163fe5dbe6aee20a98f0ff6cf01eb3df994301cc

Observation 5cce2100-9b19-4717-9a7d-20fa9edbd5f3 · inbound

Steering Visual Generation in Unified Multimodal Models with Understanding Supervision cites this paper.

Steering Visual Generation in Unified Multimodal Models with Understanding Supervision NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:41:10.111591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T14:48:22.805268Z digest=sha256:a0b0fe58bee6e71b587d77dd7d2e7cd722de453198fe6faeaeffd155838a334b

Observation 757e39f1-ce56-4b56-9bac-b5e9d9e723e8 · inbound

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation cites this paper.

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.523440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:20:25.071428Z digest=sha256:a022c795f70cbef3847ee448e46ca95c2c8a5b1a8257e3ebdd10d7d7a34e4635

Observation 36307d51-2891-4ee9-a280-0fe07ea3e4e9 · inbound

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation cites this paper.

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:02:23.624188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T05:54:24.248910Z digest=sha256:81f55e17b89bd84698953d86d449b89fa5e5ebb9c25f380a0204dca05aa5c176

Observation 06b86e01-f01e-4af9-962d-200098a59b44 · inbound

Generate "Normal", Edit Poisoned: Branding Injection via Hint Embedding in Image Editing cites this paper.

Generate "Normal", Edit Poisoned: Branding Injection via Hint Embedding in Image Editing NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:23.823688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:42:31.547395Z digest=sha256:3ebac80b45feda87590a3e743739b4f34d1e29c7c15549e19012e7652ed9a496

Observation e03e09b7-4b9d-4290-a315-7a79397e72cf · inbound

Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning cites this paper.

Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:33:57.668057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T04:33:51.535737Z digest=sha256:c62a30f4d5b2a50912298bae78eb77114ac9b04a05da2b63e243210f37cdea5e

Observation acf8a6b2-3271-4ca0-bdcb-b9482baf02d0 · inbound

Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning cites this paper.

Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:45:24.244834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T05:43:38.328972Z digest=sha256:a799d04a79221648d1cb0879e74772b8b9107513383b415a9ecb6adfc6a7ab84

Observation 3a776b73-fb74-47fe-80ef-1cbbabe84746 · inbound

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement cites this paper.

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:01.723038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T23:08:57.793923Z digest=sha256:a0b3daedefd7f572daf6db28f9aa17bf1728fa3fb4e136ef0c8f4ba92f1c604e

Observation 19dfa07d-2dbc-49ff-a6ca-17a5f9b46735 · inbound

Channel-wise Vector Quantization cites this paper.

Channel-wise Vector Quantization NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:44:01.484864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T22:40:05.761148Z digest=sha256:5180aedb31e42b8108a3faedfd97591693ae0b08e9566e9c1fac9353972036a5

Observation 42847af6-2c04-4cfa-a5c8-fda992bb1e6d · inbound

F3-Tokenizer: Taming Audio Autoencoder Latents for Understanding and Generation cites this paper.

F3-Tokenizer: Taming Audio Autoencoder Latents for Understanding and Generation NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.011188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T23:36:27.369551Z digest=sha256:3b723f18be8e9d8c39875d7581a92ae85297596d2a953311e956a8f75aa989d2

Observation 91eb9690-007e-4ce1-8383-78c7d784bd25 · inbound

ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing? cites this paper.

ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing? NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 25

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verified exact
arxiv_id, observed 2026-07-04T00:39:17.419935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T21:02:24.792139Z digest=sha256:d285ee9b4ff4b49c8e2f99cbcc6d5721e0feb98bbe6bcbd9be888c1a0953fc6b

Observation e17df1ca-5629-489d-bf29-6cb66225d845 · inbound

Editing Everything Everywhere All at Once cites this paper.

Editing Everything Everywhere All at Once NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:55:40.104960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T06:10:12.350268Z digest=sha256:9a1b7cc7ace42fff0dbbadf673f44e9c95e39352b90db2d93282528aec2d4a25