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Paper Citation Record · LEDGER

Autoregressive Models in Vision: A Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2411.05902.

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

pith.paper-citation-record.v1
2411.05902 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:51:18.564403Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.859276Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 b9586c45-5905-4b34-b0da-3be87381ae11 · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Autoregressive Models in Vision: A Survey

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:23.551098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:23.551098Z digest=sha256:0612351d976f57281a4a04afb46706b1121b45f06e913b9c08f99f38ed4647d3

Observation 78fdd273-787d-4a46-bdf7-d02c1498ef5f · inbound

BulletGen: Improving 4D Reconstruction with Bullet-Time Generation cites this paper.

BulletGen: Improving 4D Reconstruction with Bullet-Time Generation Autoregressive Models in Vision: A Survey

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:03:01.094244Z

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=2026-05-19T08:02:14.123151Z digest=sha256:14708bea5827644d3832ab26ca23f33a17ea6f87e54c5ad4cc45b16d993599f9

Observation 5b25831e-5295-43d6-83c5-bfc7c54cf5a3 · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving Autoregressive Models in Vision: A Survey

Reference 137

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:04.806091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.806091Z digest=sha256:79a063873976c7bacd375a7968514d6f500f4678d632abed433bf2070da1bc21

Observation b0b0ce77-cd97-4ce9-b230-1575e9c3cc68 · inbound

A Survey on Training-free Alignment of Large Language Models cites this paper.

A Survey on Training-free Alignment of Large Language Models Autoregressive Models in Vision: A Survey

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-05T21:18:49.044177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:18:49.044177Z digest=sha256:1998846812d5d85d50d6dddf6c79d2ce668dfd5243c190a5a6ee6442cb53adb1

Observation e5ef6492-9158-4167-bb9e-38560576de78 · inbound

A Unified Low-level Foundation Model for Enhancing Pathology Image Quality cites this paper.

A Unified Low-level Foundation Model for Enhancing Pathology Image Quality Autoregressive Models in Vision: A Survey

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T13:00:48.189650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:00:48.189650Z digest=sha256:f714a0fca15eee768488d9da459c16a33bde276b6d6d2c3604b4a46616c34303

Observation b63d9169-def5-4af6-ab4a-891d9b6a018c · inbound

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications cites this paper.

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications Autoregressive Models in Vision: A Survey

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:40:31.101868Z

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=2026-05-17T23:40:01.988138Z digest=sha256:5eb65b7a30f562a19071018f6d8dd4afb5fbc54c98cace26b5a82b64ae3f001c

Observation 32756b07-7c5a-4a08-8075-2cd47f5efb29 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs Autoregressive Models in Vision: A Survey

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:22.428411Z

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=2026-05-09T18:53:06.494640Z digest=sha256:49a769b71f78c89e463d475ebef586da4fb303c9554dfd40ff159fba39651f30

Observation feacafef-7fb4-4d97-94b4-479f6d129e74 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs Autoregressive Models in Vision: A Survey

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:50:51.575223Z

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=2026-05-11T01:49:15.136031Z digest=sha256:0e8078d39c396a71d9e0798aa89435738e6feeb466f20fc387196cf7361550bd

Observation a077f488-522c-4d11-a33e-fa4372dce36e · inbound

PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images cites this paper.

PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images Autoregressive Models in Vision: A Survey

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:15.894857Z

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=2026-06-28T15:50:54.950899Z digest=sha256:521e341762604cab000da23df11d13e5f43fb16b6091d35686a19eebe375c3ac

Observation 23c1441d-9ebf-42aa-9d12-905d76aafc44 · inbound

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics cites this paper.

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics Autoregressive Models in Vision: A Survey

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:43.309763Z

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=2026-06-27T04:25:27.067362Z digest=sha256:6249d473299fb6b2e97c1dc0d20ba0d89028d5dc6c5d88b852820975effb728a

Observation 4e4dd0b6-d32f-4088-9f05-e56e3726c784 · inbound

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks cites this paper.

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks Autoregressive Models in Vision: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.860606Z

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=2026-06-26T05:51:01.446139Z digest=sha256:3cfdbd49c3efc960f1905efbb3d91edc3efdd67ee52896938d31fd2721ab4ef8

Observation 76e2d6b2-bba3-4df6-8425-cba8a7dc73e6 · inbound

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? cites this paper.

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models? Autoregressive Models in Vision: A Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.564403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:51:18.564403Z digest=sha256:a7b2247faed10dfc3cbf72ea15b433de4f658b37d0541ff07b4a4947d04f487c