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Paper Citation Record · LEDGER

Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.10511.

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

pith.paper-citation-record.v1
2410.10511 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:22:42.173007Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:17:07.219396Z

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 f8d8081e-7d1f-45a1-afd2-82d0bc05528c · inbound

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders cites this paper.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T00:59:25.243464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:59:25.243464Z digest=sha256:962749ef3824613fb0994cad63cbbf533be21558fac5c8d9b7c04effd0019020

Observation 9150376d-81ad-4bcb-b174-0056d66e846b · inbound

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

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T15:33:13.310907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:33:13.310907Z digest=sha256:69dde53c4fe046f4ca00d8acbdf605e199c043084a427a1b94a81db0adb5de7a

Observation 51b913ed-3f84-47ad-ac19-9eda566c17f7 · inbound

Masked Autoencoders Are Effective Tokenizers for Diffusion Models cites this paper.

Masked Autoencoders Are Effective Tokenizers for Diffusion Models Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-09T04:47:30.371836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:47:30.371836Z digest=sha256:f064610b15b8982b2df58679f2e9eb00c50fc867c67f6da3abc3440ccd709716

Observation 4b3b4637-606d-4387-a2e8-4a8d96afee18 · inbound

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation cites this paper.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:37:35.508796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.508796Z digest=sha256:1ba9f56edc6d18ec9722f679b57e1c2045545679c5c802aff53c721e1db92b6c

Observation f1c71bc0-3881-4ff2-b10e-c26aebe4ca0b · inbound

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling cites this paper.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T18:22:42.173007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:22:42.173007Z digest=sha256:f488599c96b7f71753e11c3d66fa26cb38f7d0086e0a593a0c016a5e13e1a762

Observation 8ae2911c-9309-4785-9cb9-92a70293b402 · 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 Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.220706Z

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=sha256:214473ca0f4bc8f60ebf3ef689b4a69919b12293b351853a004d75145c6f6a56