Paper Citation Record · LEDGER

Dolfin: Diffusion Layout Transformers without Autoencoder

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.16305.

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

pith.paper-citation-record.v1
2310.16305 v1

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 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:19:46.004346Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T10:20:15.560948Z

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 5f605fbe-8a40-4014-b3b7-13d2b15d36cc · inbound

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:40.049421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01288db-4b2c-44d5-a4a3-528f18d2d412 · inbound

Circuit Complexity Bounds for Visual Autoregressive Model cites this paper.

Circuit Complexity Bounds for Visual Autoregressive Model Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:46.329986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a347ca-144f-433d-9c17-4827a7b5a59f · inbound

On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis cites this paper.

On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:28.269883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd26f6b-04a2-4bcd-917b-86d90ebaa421 · inbound

High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.

High-Order Matching for One-Step Shortcut Diffusion Models Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T18:10:53.219758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a4cf96-039c-41a9-89c1-b42dfd5f68a3 · inbound

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies cites this paper.

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T18:11:44.860888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e961d5ce-0da8-4194-af36-ddf9fcd0bf03 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T16:39:14.300086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00723785-2991-4007-9275-8843d1c19b9d · inbound

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:20:15.568119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ad058c4-f0c3-4871-bb06-c41493397b9a · inbound

T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models cites this paper.

T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models Dolfin: Diffusion Layout Transformers without Autoencoder

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:19:46.004346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.