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Paper Citation Record · LEDGER

Breaking the Factorization Barrier in Diffusion Language Models

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:0162cb03cd061e1ae9f85b5d1aeec8704526e53f1668d4136477e613051cd768

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=sha256:73c6ad2d6b5800f4a53cab7e7ec7da6cd59e0085fe9c92b06fdf76c78f8e05fb

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=sha256:9de354e328a21be729d0cd33d87374c31c9ab404c1150e509f982516e8cae14d

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:f54d8d83b7cf6022572908709017a2f1752b59819bcc30949cbf1292709d2aca

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=sha256:8ca3bfa8ddb773616f4463ee1ba47b651af64bae34907da19d2a5a00e2e01eb2

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=sha256:90156620378639bab21c8506af2cd509c68aaa53c34e108591d7d54398173385

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T16:51:04.460958Z digest=sha256:e95f3ce68f4bae5f54121dcd6c7d26b25e22a2704935f47c728cba057e979d31

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T13:17:01.144370Z digest=sha256:9f390e910f4bc2ea782d30e57414dddbee6188e6e0bb2e1bdddfaac90c5cfe6c

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:cfa6aaedb6e6af62ce0dc5496dd2442263d6a88b3cd643e7706648e078ccd011