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Paper Citation Record · LEDGER

ImageFolder: Autoregressive Image Generation with Folded Tokens

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2410.01756.

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

pith.paper-citation-record.v1
2410.01756 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:30.459345Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:38:28.817961Z

Reference resolution

0 of 0 outbound references displayed

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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 bed95b59-8dbe-47e9-b14f-81879ea35bba · inbound

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

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 30

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no resolver link, observed 2026-08-12T12:06:00.979246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:06:00.979246Z digest=sha256:24d2afe0fbb50be8d4a9de70c8c2669e727a54fbd6ad24c36c89b14dee969b04

Observation 832c8996-a5a4-4d51-954e-2590435a78e5 · 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 ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 38

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no resolver link, observed 2026-08-12T00:56:59.629870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:56:59.629870Z digest=sha256:97e716c09cba4ce9d70b3df32414a722bfe061510a6c49b02d9f2e0b324b39a8

Observation aaf32f44-beb5-4cd4-9243-500be08e40c1 · inbound

Scaling Image Tokenizers with Grouped Spherical Quantization cites this paper.

Scaling Image Tokenizers with Grouped Spherical Quantization ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 4

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no resolver link, observed 2026-08-11T23:20:11.073371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:20:11.073371Z digest=sha256:1bbbf8298f4213358df6516bc9dba671cd45fca12c3fa4933a55a552b6334915

Observation cc9ee8dd-5b24-4b43-a77a-ddfbe1152e28 · inbound

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

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 25

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unresolved
no resolver link, observed 2026-08-11T22:54:20.522317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:54:20.522317Z digest=sha256:55f4ef0f4c424824887e424057b1202fc89f42c096be1a5f6bc1a8e082fa6c6b

Observation 55624c75-2e9b-4d23-aa3d-6e7fde01efe1 · inbound

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis cites this paper.

Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 37

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no resolver link, observed 2026-08-11T21:29:34.451237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:34.451237Z digest=sha256:a66a92efd39b631aaec3f8bc27785ff3ba62583a2bb764133933170cf5b6260c

Observation 2881563e-06ee-46ce-a4d5-84293a2247eb · inbound

Visual Lexicon: Rich Image Features in Language Space cites this paper.

Visual Lexicon: Rich Image Features in Language Space ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 38

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unresolved
no resolver link, observed 2026-08-11T19:22:55.217594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:55.217594Z digest=sha256:4350db2449394476d24619ae438e400d1eaae296058c72d850d76485d985e374

Observation df8efca0-fc8c-4a60-8b5f-7d84a0996983 · inbound

CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction cites this paper.

CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 34

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no resolver link, observed 2026-08-11T19:22:28.274515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:28.274515Z digest=sha256:ed85382007b0e6987a9704b7e42aa5c7ec11d27042b4e19db00d9d084289999e

Observation 499d77d8-1899-444e-8516-fa819ab0cbaa · inbound

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

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 62

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no resolver link, observed 2026-08-11T15:33:13.291256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:33:13.291256Z digest=sha256:f3123dedc324fc86ae91769b2e5478939e43e999d2d872cbd28282f2dcd7d0c0

Observation f2321931-1577-4967-8bc1-521a7293ab18 · inbound

Next Patch Prediction for Autoregressive Visual Generation cites this paper.

Next Patch Prediction for Autoregressive Visual Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 49

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unresolved
no resolver link, observed 2026-08-11T11:37:42.028863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:37:42.028863Z digest=sha256:94601cb7b423166b40fc1a08e5bfcb0e9d709045c4206f7ba51748ae70cdbe7e

Observation 30286c70-f0d9-41bc-bf97-62ed05f26b43 · inbound

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models cites this paper.

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 45

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unresolved
no resolver link, observed 2026-08-08T14:25:55.738517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:25:55.738517Z digest=sha256:8c27562e6019405300d9f1567c970d71d725e8700fe36ab366770b569acd5b40

Observation 2c8f42cf-5769-45ae-b5ad-a831411f96a8 · 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 ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 63

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no resolver link, observed 2026-08-15T22:21:30.459345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:30.459345Z digest=sha256:5a06c649acc5c8e0fd4c8b5be8fe0a1339d96bd633601bad58447a7a7ecf4f85

Observation 1e4b70dc-e21f-4f7f-ad8e-b513230f332b · inbound

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework cites this paper.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 50

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no resolver link, observed 2026-08-07T14:40:16.912616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:16.912616Z digest=sha256:d06f4193d60320ddc8dc38f85cc591f66ffa0e210d7881ed3475ca3b4214a8c9

Observation e7402fdf-de54-43c8-b179-ba2822a82963 · inbound

HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation cites this paper.

HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 25

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unresolved
no resolver link, observed 2026-08-07T10:47:52.342304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:52.342304Z digest=sha256:364df8ad327ae11c7bfb77857379b6a86f2ba599b4244113e19e3bd847e8031c

Observation 94441927-3fba-4097-aa24-4d85323b66dd · inbound

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective cites this paper.

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 41

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no resolver link, observed 2026-08-06T20:53:51.001183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:53:51.001183Z digest=sha256:ed63132c5387b0588199de636bdce3aec3235d6e6708d755e852212a7bdefc70

Observation 9a15ce32-99b5-49ca-8d2d-4d3790e7d293 · inbound

Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis cites this paper.

Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 18

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no resolver link, observed 2026-08-15T17:49:43.659509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:49:43.659509Z digest=sha256:de02205975949fa81b046105f1d0bcf2479b7432990a73b5923542f27fec6ab2

Observation c129526d-d8b1-42c3-a695-7b51aa3944d5 · inbound

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation cites this paper.

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 35

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verified exact
arxiv_id, observed 2026-05-21T17:00:24.110592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T16:57:09.843691Z digest=sha256:39272db69e37bd94e8766865a818a7b9fcaf365e2c9e996a427af06927af8e88

Observation 7c9fdf2a-d4cc-48b3-a9dd-d4d28bebc405 · inbound

Language-Guided Transformer Tokenizer for Human Motion Generation cites this paper.

Language-Guided Transformer Tokenizer for Human Motion Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 63

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unresolved
no resolver link, observed 2026-08-03T03:25:01.015059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:25:01.015059Z digest=sha256:3410a4430b7b3c24f020925f5bd5a58db85ebf310cde7827df989d0dbd54af6c

Observation 09949609-7993-4ae1-8e2a-af78e381ccc7 · inbound

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction cites this paper.

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 47

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metadata mismatch
arxiv_id, observed 2026-05-11T08:45:58.558880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:30:53.578491Z digest=sha256:62a95b2c34bb127e0cd4b95c1392eb1168a2fe1c344df616ec31de846e981659

Observation 8da6bca7-b891-4169-a2cc-b839f7494d03 · 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 ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T21:51:11.526347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:185ecb99680fa102d4361429dd33869edb411691cba103372111818b86afcd1d

Observation f1559262-224d-44f1-9e05-fb003bd5a13c · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T18:51:06.106220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T13:52:42.834440Z digest=sha256:4da5b13650309b2bb7217f5f2803b190346d48704e0e9683a53039beea693791

Observation 37377297-0e32-4a31-8956-939fae63d2b0 · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 19

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verified exact
arxiv_id, observed 2026-06-30T23:45:08.405282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T23:36:51.148162Z digest=sha256:def6529a3b68d94bd224ce3c1ff98ed42b246ebc36910a66ccfcea2a31c23dc2

Observation 17912036-6ec8-43dc-bb3a-864a1572f0ce · inbound

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion cites this paper.

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 47

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verified exact
arxiv_id, observed 2026-05-11T04:05:57.596052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:57:24.033068Z digest=sha256:93c7c7bb1c620f4005cb96a1b8127e6796a2dc4bc9c4080199f139ef00083869

Observation 8683721b-f159-42e7-87b9-ead524fecf49 · 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 ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 51

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arxiv_id, observed 2026-05-20T12:08:15.766012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T12:04:19.761430Z digest=sha256:74101fde20cc8559ad762d550d57e8e9498efde14e457d34f582077e4864ccd9

Observation 35a3c3f3-f2dc-45c9-a751-5897e4c373f8 · inbound

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

Vision Foundation Models as Generalist Tokenizers for Image Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 46

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verified exact
arxiv_id, observed 2026-05-20T11:03:13.505362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T11:01:24.738195Z digest=sha256:37de09197ca580f2728154c96151af822fed17cdad77df64e2a9a71c61495352

Observation 2b07b738-19ed-4e91-a393-bfced9d837b2 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 28

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verified exact
arxiv_id, observed 2026-06-29T18:13:49.038250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T18:06:01.684713Z digest=sha256:b7f08ce7b938c9ccebdc29166dafe5613a3b86b2a4e2eb4b25eb85d6278941e4

Observation 23d2b2c6-191c-44b0-8b2d-7c738ba24df3 · inbound

Fixed-Point Masked Generative Modeling cites this paper.

Fixed-Point Masked Generative Modeling ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 44

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verified exact
arxiv_id, observed 2026-06-28T23:22:47.319491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T23:18:27.050697Z digest=sha256:1b21a0f7b4184f33136584a1074ce2d83f89caf4dc956020eaf32884a56edc30

Observation 426bcb2f-4166-4dee-94a5-724f01eeb82f · inbound

Balancing Image Compression and Generation with Bootstrapped Tokenization cites this paper.

Balancing Image Compression and Generation with Bootstrapped Tokenization ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:55.467937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T03:07:33.054518Z digest=sha256:58d7e668ad1895c34a9746853b018da04cfccc8738335113ba12204d62c522ea

Observation 1cc79708-28e0-4ccd-9a75-e6951b1117d6 · inbound

AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens cites this paper.

AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 29

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arxiv_id, observed 2026-07-02T16:27:09.117096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T22:43:09.489524Z digest=sha256:959fcc3228cc6aa6f0615fa52c5a0587b11a6846ec9763a17f9881e8ff90ab76

Observation 280769d0-f1ae-473a-925a-d3bc569611a0 · inbound

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

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 25

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verified exact
arxiv_id, observed 2026-07-03T05:37:40.280769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T13:10:14.308216Z digest=sha256:9161fcf0a29bcbdb3171dbe4ee66f493512129ec17902301b34c70069f20ea37

Observation e3b60c85-bd9d-43fc-9357-5d022a1a207b · inbound

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

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 49

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metadata mismatch
arxiv_id, observed 2026-07-03T14:38:28.819341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:8217a9eb311fb670695679bab04f373770925d9f6e2e240865fac1e66a9bb6d3

Observation d8be1fea-6bcb-401a-bc7d-e3da85105ca0 · inbound

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts cites this paper.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 36

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metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.209220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:ff7aa5abe66e14dca9e94933340c0198f3368fb3484f38bc47f2d835ad71820b

Observation e11fcc61-85fd-46de-92a8-72ab290e30e0 · inbound

Orbis 2: A Hierarchical World Model for Driving cites this paper.

Orbis 2: A Hierarchical World Model for Driving ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 32

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no resolver link, observed 2026-08-01T22:05:03.320207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:05:03.320207Z digest=sha256:c276c963c48d784e890c537907d7de1e9e18060558c166477ecb7287cf708006

Observation a75947e9-8cd5-4698-a61a-9947aef30afb · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 55

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no resolver link, observed 2026-08-01T04:29:47.341170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:47.341170Z digest=sha256:faf1702d413b4b62220f1fc2535ef8f7256582f369ad3366f35f92f114ce8005

Observation cd358879-c884-476a-978b-545f7e2af462 · inbound

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

UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 37

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unresolved
no resolver link, observed 2026-07-31T22:25:12.380740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:25:12.380740Z digest=sha256:7377d5dac96a87cc5ef3226ce7924fe6721aa2570f31ee049126524d0ad8ab3d

Observation fbe590f5-d3f7-4fde-81cd-e79630b097cd · inbound

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation cites this paper.

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 45

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unresolved
no resolver link, observed 2026-08-01T02:14:09.733716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:14:09.733716Z digest=sha256:d36178475afdf430ebfca3c1f5a2e13ff38812f369ad7eb3e3a0a8b36c3c4eec