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Paper Citation Record · LEDGER

Breaking the Factorization Barrier in Diffusion Language Models

As of 15 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 3 inbound Pith citation observations for arXiv:2603.00045.

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

pith.paper-citation-record.v1
2603.00045 v3

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:24:17.672851Z

measured 9 of 9 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:49:46.952354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:29.863138Z

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 322091f7-a4b9-44b9-a7c3-9ecbeafd8fbd · outbound

This paper cites For leaf nodes, we evaluate the probability of the observed value (or 1 if the variable is missing).

Breaking the Factorization Barrier in Diffusion Language Models For leaf nodes, we evaluate the probability of the observed value (or 1 if the variable is missing)

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T03:24:17.540300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:24:17.540300Z digest=sha256:0667184ac0615fce0d650b9753a70ea939a6a796350c455ad19b33811a5b467e

Observation a323a057-42a3-4b84-8368-e5aa8a7992b9 · outbound

This paper cites evidence-adjusted.

Breaking the Factorization Barrier in Diffusion Language Models evidence-adjusted

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T03:24:17.614141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:24:17.614141Z digest=sha256:2966ea2be695b1ce86d57c714d400bc0062d02e91aac0703223e9640905cd260

Observation b0a3745c-aab7-4d7e-90f8-73d8b386d5c0 · outbound

This paper cites evidence.

Breaking the Factorization Barrier in Diffusion Language Models evidence

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T03:24:17.672851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:24:17.672851Z digest=sha256:b8d742cb726b5fa8b718bb057ef3fc07da5bab77e1112667ddf30489c81a8a76

Observation 60f83042-6697-4b7f-bff5-c8e69fbafe6b · outbound

This paper cites content/CVPR2022/html/Chang_MaskGIT_ Masked_Generative_Image_Transformer_ CVPR_2022_paper.html.

Breaking the Factorization Barrier in Diffusion Language Models content/CVPR2022/html/Chang_MaskGIT_ Masked_Generative_Image_Transformer_ CVPR_2022_paper.html

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T03:24:17.303183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:24:17.303183Z digest=sha256:fdd48729c4744cd8d9f2b24a406e0e389cfd484bfd6ef46bc315243c42538d61

Observation f7fb96c5-4d1d-4155-ace4-e97b5cb58529 · outbound

This paper cites You are a helpful assistant.

Breaking the Factorization Barrier in Diffusion Language Models You are a helpful assistant

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T03:24:17.474354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:24:17.474354Z digest=sha256:5b389c3571f9c4172493f6f508729403c140c57a4272f673227abe5e3ca54db2

Observation 06145e30-e430-49b5-8e8b-35310eebdacb · outbound

This paper cites Let's Verify Step by Step.

Breaking the Factorization Barrier in Diffusion Language Models Let's Verify Step by Step

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T03:24:17.378719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:24:17.378719Z digest=sha256:58719c3e8d3e5452d1da4493919d9687925b981a6a9241c4fac480f2f3d4400d

Pith citing papers

Observation 3cdccac0-171b-4201-a928-9f266d21e9de · inbound

Unified Energy for Invariant and Independent Decoding in Diffusion Language Models cites this paper.

Unified Energy for Invariant and Independent Decoding in Diffusion Language Models Breaking the Factorization Barrier in Diffusion Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-21T01:19:53.651220Z

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=2026-06-27T16:51:04.460958Z digest=sha256:e3e3a2b52ceb4aad604342019a614c931dce2297cec89fa902f7a7797d10490d

Observation 062dc5a8-a17b-402b-bc54-5a1465bc78a7 · inbound

Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs cites this paper.

Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs Breaking the Factorization Barrier in Diffusion Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-21T01:19:53.651220Z

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=2026-07-02T13:17:01.144370Z digest=sha256:29728e5c715b0ba518814e148100807199b934dff7b56bfacc7368b8b354ad64

Observation 38e5eefa-e5d6-4c84-b706-65712de34467 · inbound

Tensor-Train Joint Modeling for Few-Step Discrete Diffusion cites this paper.

Tensor-Train Joint Modeling for Few-Step Discrete Diffusion Breaking the Factorization Barrier in Diffusion Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T08:49:46.952354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:49:46.952354Z digest=sha256:518fb63428977f716b298da017bfc7fbef7f96f643d5692d35e1f60f65d0238b