Paper Citation Record · LEDGER

Autoregressive Models in Vision: A Survey

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:54:33.859863Z

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 bce9d780-065b-4b7d-85bf-3a1fd0ee2013 · inbound

PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs cites this paper.

PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs Autoregressive Models in Vision: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T13:54:33.859863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0035df-556a-42d0-a748-2c8e81ab871e · inbound

Identity-Preserving Text-to-Video Generation by Frequency Decomposition cites this paper.

Identity-Preserving Text-to-Video Generation by Frequency Decomposition Autoregressive Models in Vision: A Survey

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T12:10:27.372712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffca2200-517f-416f-a903-5e3ab4cda93e · inbound

[MASK] is All You Need cites this paper.

[MASK] is All You Need Autoregressive Models in Vision: A Survey

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T19:29:21.205007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-13T06:32:02.005865+00:00.

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.

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.

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.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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.