Paper Citation Record · LEDGER

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2506.19935.

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

pith.paper-citation-record.v1
2506.19935 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:36:29.477444Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:52.453229Z

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 734d04c6-042d-4d57-a68e-bb3ba9071a35 · inbound

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs cites this paper.

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:22:27.823087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a42cd66-af08-4b4a-873c-86025b970d1d · inbound

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs cites this paper.

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:29.477444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ca988f-1c48-488a-8d9a-474bcd3cd084 · inbound

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed cites this paper.

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:31:19.340170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25e6e6de-18e3-4888-bf32-ccd25690653d · 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 Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:38:43.670613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa9819f8-5cd2-4e2e-a43e-56c75313f540 · inbound

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding cites this paper.

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:07:52.501391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9319a5fe-0146-44eb-99a0-0ed727a83987 · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 186

Resolution: unresolved; no resolver link, observed 2026-08-02T05:17:47.735042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 564846fe-7fbb-417d-bb3f-e49b81286caf · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-01T20:54:15.037119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.