Paper Citation Record · LEDGER

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation

As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.27978.

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

pith.paper-citation-record.v1
2606.27978 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:58:23.066578Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact15
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90d23192-46b7-4356-86ff-c485e5ed208a · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T04:58:23.066578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad54187-286f-419d-93e8-553daec3db32 · outbound

This paper cites PixelFlow: Pixel-Space Generative Models with Flow.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation PixelFlow: Pixel-Space Generative Models with Flow

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:03:52.176135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc363d8c-9c35-4b26-8117-143339b2f1dd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Adam: A Method for Stochastic Optimization

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.192512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04a4d078-1c43-4674-a6f9-125cc3d5c7b5 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Back to Basics: Let Denoising Generative Models Denoise

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.200152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8215ed3b-f68c-4847-82c4-f3e1ccb927ae · outbound

This paper cites Fractal Generative Models.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Fractal Generative Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:03:52.190127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b579ae4e-7eee-4560-bec8-3f8c4228a7bf · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.197484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc74f7bf-aca8-458c-965e-0f26f548eeab · outbound

This paper cites Decoupled Weight Decay Regularization.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Decoupled Weight Decay Regularization

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.192818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d28ee7cd-d6a3-410d-863d-c6992944e5c8 · outbound

This paper cites Uni- 3dar: Unified 3d generation and understanding via autoregression on compressed spatial tokens.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Uni- 3dar: Unified 3d generation and understanding via autoregression on compressed spatial tokens

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:03:52.187105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c13c7250-02ea-497c-8330-040c204792c9 · outbound

This paper cites Autoregressive Speech Synthesis without Vector Quantization.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Autoregressive Speech Synthesis without Vector Quantization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:03:52.202816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17538e1e-d20e-427b-abe3-291f7a6ad7d2 · outbound

This paper cites GLU Variants Improve Transformer.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation GLU Variants Improve Transformer

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.178604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 682b1f2b-d92b-4f9d-8fc6-496217efd2fd · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.195038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 872c762f-f2b1-4f41-a771-c244ed291497 · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation MAGI-1: Autoregressive Video Generation at Scale

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.169519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8639a8e8-bfdf-495c-9d24-7ac1aa8a5726 · outbound

This paper cites JetFormer: An Autoregressive Generative Model of Raw Images and Text.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation JetFormer: An Autoregressive Generative Model of Raw Images and Text

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:03:52.163282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c598a02c-4799-443c-80ee-43fe9f1c2e98 · outbound

This paper cites PixNerd: Pixel Neural Field Diffusion.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation PixNerd: Pixel Neural Field Diffusion

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:03:52.166667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1d09ca0-451c-4d3e-bbac-1d6837c7e98f · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Vector-quantized Image Modeling with Improved VQGAN

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.178392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c6ce3766-0037-4599-8b9f-158aa42e238b · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.195462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a2b551f-2059-4eaf-ba69-dc0f1817285e · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Diffusion Transformers with Representation Autoencoders

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:03:52.157950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0810648f-63cf-4e90-94d1-c8ebb19c4938 · outbound

This paper cites Class conditioning is injected through K=16 learnable prefix tokens, obtained from an embedding table indexed by the class label and prepended to the patch sequence.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation Class conditioning is injected through K=16 learnable prefix tokens, obtained from an embedding table indexed by the class label and prepended to the patch sequence

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T04:58:23.066578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6804b3cd-568a-4b83-bfd0-e87d1d3cf173 · outbound

This paper cites With probabilitypsample, a training example is selected for masking; within selected examples, each token is replaced by a learned mask embedding with probability ptoken.

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation With probabilitypsample, a training example is selected for masking; within selected examples, each token is replaced by a learned mask embedding with probability ptoken

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T04:58:23.066578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.