Pith. sign in

Paper Citation Record · LEDGER

Learning-Order Autoregressive Models with Application to Molecular Graph Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.05979.

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

pith.paper-citation-record.v1
2503.05979 v2

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:20:05.380692Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.650228Z

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 88592b47-97a8-44e2-ac17-c132e84e448c · inbound

Any-Order Flexible Length Masked Diffusion cites this paper.

Any-Order Flexible Length Masked Diffusion Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:05.380692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:20:05.380692Z digest=sha256:fe94bbca23195c5221db9cef8cb0208efa7336773394a2a22173771eabd69096

Observation 6e7cbfc6-179a-4ed1-a3a0-76c15df8e8cc · inbound

SIGMA: Semantic Identifier Grouping for Molecular Autoregression cites this paper.

SIGMA: Semantic Identifier Grouping for Molecular Autoregression Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T05:46:03.844443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:46:03.844443Z digest=sha256:5927862dac08038fecdf090a61c1e0f5492e3dbfeeffa3371791035dc3827e5f

Observation 2c9639c9-63d1-4c7f-a7f3-cfb0666c9df1 · inbound

ReLU Networks for Exact Generation of Similar Graphs cites this paper.

ReLU Networks for Exact Generation of Similar Graphs Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:51.059932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:38:54.623816Z digest=sha256:1c384290f44cb04d5dc0b267a0026d0eca93a61cef938f38d3d52acce7f8bb24

Observation 911e1f3c-9e4a-4745-80e6-9f0f2dfe7a01 · inbound

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster cites this paper.

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:27:53.551060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T00:26:58.820675Z digest=sha256:63f64c732014e14bbbf461a06f25f1bd46c83728b52b9ddcadda98c400b0b1ce

Observation 2919688d-faa3-4e71-986a-1e42bdbe0528 · inbound

Adaptive Order Policies for Masked Diffusion cites this paper.

Adaptive Order Policies for Masked Diffusion Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:42:49.816216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T23:33:40.937370Z digest=sha256:5e7cd8a750d76f4fdde7e9a417aa35205978de8d79bf45a4126a1d1bcc3fb663

Observation 9681eff4-067f-4e3a-ba22-a8b85e46a76a · inbound

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding cites this paper.

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:43.651639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-03T17:30:39.458521Z digest=sha256:b2ceec3ab245d2ed0f8e789cdab9fd83233db95d027b443fca0105aad0c990db