Paper Citation Record · LEDGER

ControlAR: Controllable Image Generation with Autoregressive Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.02705.

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

pith.paper-citation-record.v1
2410.02705 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:32.673269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:27:18.940120Z

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 42072c7d-ee52-4170-b6b3-5cdffd77c909 · inbound

PacTure: Efficient PBR Texture Generation on Packed Views with Visual Autoregressive Models cites this paper.

PacTure: Efficient PBR Texture Generation on Packed Views with Visual Autoregressive Models ControlAR: Controllable Image Generation with Autoregressive Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:27:18.942672Z

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.

Observation e905aac1-5880-438b-960c-264a181b3209 · inbound

Universal Physics Simulation: A Foundational Diffusion Approach cites this paper.

Universal Physics Simulation: A Foundational Diffusion Approach ControlAR: Controllable Image Generation with Autoregressive Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:32.673269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4cf60e-1b67-4a64-89a7-b9696078b866 · inbound

NanoControl: A Lightweight Framework for Precise and Efficient Control in Diffusion Transformer cites this paper.

NanoControl: A Lightweight Framework for Precise and Efficient Control in Diffusion Transformer ControlAR: Controllable Image Generation with Autoregressive Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:37.440571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7077bec3-187c-4f98-be8f-daf647365a46 · inbound

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking cites this paper.

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking ControlAR: Controllable Image Generation with Autoregressive Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:43:51.179109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353dd516-a154-4e42-a326-0db14e89307d · inbound

DeepInflation: an AI agent for research and model discovery of inflation cites this paper.

DeepInflation: an AI agent for research and model discovery of inflation ControlAR: Controllable Image Generation with Autoregressive Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T10:42:31.530838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bb3568-aa5d-412e-afcb-444cf1000876 · inbound

Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk? cites this paper.

Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk? ControlAR: Controllable Image Generation with Autoregressive Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:16:31.440529Z

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.

Observation f0e73101-72f5-403f-8049-d35feef81f27 · inbound

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution cites this paper.

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution ControlAR: Controllable Image Generation with Autoregressive Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:04.499309Z

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.

Observation e4c4c506-5f26-46e5-928e-e50d03ce5253 · inbound

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models cites this paper.

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models ControlAR: Controllable Image Generation with Autoregressive Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:37:29.510818Z

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.