Paper Citation Record · LEDGER

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts

As of 9 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2601.05680.

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

pith.paper-citation-record.v1
2601.05680 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:37:46.119765Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

7 of 7 outbound references displayed

verified exact0
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d62ad9ff-717b-4ea7-8c77-772dc65447d0 · outbound

This paper cites We excluded paired data with text longer than 50 words or SVG longer than 256 atomic units.

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts We excluded paired data with text longer than 50 words or SVG longer than 256 atomic units

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.114727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4636962b-2dc0-403e-9cac-1dbf23d1e7d5 · outbound

This paper cites During training, each latent vector z is processed through the denoising MLP, sampling the timestep t 4 times each.

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts During training, each latent vector z is processed through the denoising MLP, sampling the timestep t 4 times each

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.119765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67b15a5-d9e2-4dd2-817d-3354b6b87649 · outbound

This paper cites During training, each latent vector z is processed through the denoising MLP, sampling the timestep t 30 times each.

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts During training, each latent vector z is processed through the denoising MLP, sampling the timestep t 30 times each

Reference 1024

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.099387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65304612-b059-4a94-89ec-6f7a4531cc66 · outbound

This paper cites We focused on the top 13 component types, following the approach of (Lee et al., 2020).

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts We focused on the top 13 component types, following the approach of (Lee et al., 2020)

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.104043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e5d580-e238-4a74-8a14-294876fe2ddd · outbound

This paper cites DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation.

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.088224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 891ed38e-8ed0-4114-9d6d-1174acb17797 · outbound

This paper cites FIGR: Few-shot Image Generation with Reptile.

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts FIGR: Few-shot Image Generation with Reptile

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.094156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a95917e-b10d-424b-a5d5-6f264f75ecc4 · outbound

This paper cites B.3 ADDITIONALRESULTS PubLayNet.Figure C and Figure D present additional qualitative results for the completion task and unconditioned generation task on PubLayNet, respectively.

Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts B.3 ADDITIONALRESULTS PubLayNet.Figure C and Figure D present additional qualitative results for the completion task and unconditioned generation task on PubLayNet, respectively

Reference 4090

Resolution: unresolved; no resolver link, observed 2026-08-03T11:37:46.109245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.