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Paper Citation Record · LEDGER

Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:59:25.243464Z

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:d8d42a47b20cec10578ef21602caa347d2784d8467719898135ed6ca136133ff

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=sha256:79c4dbee98cb8dd5638a95eea01f0204160dac023a1341b2168939de60c1e020

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:ff1be2ac21662e98005f1d12f664c31f4ae8d2d165dbbbcc63d6d15e58829411

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:cf7e9ed281d62fe42215fa618b566ad780f66e08970f65f947bab04e19ef568a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:1d1e707a5a97e043a17b9d5c7ff52445805687c6eaecd3514ba5cfa0435c70ea