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Paper Citation Record · LEDGER

Theoretical Benefit and Limitation of Diffusion Language Model

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 10 inbound Pith citation observations for arXiv:2502.09622.

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

pith.paper-citation-record.v1
2502.09622 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:23.416767Z

measured 81 of 81 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:07.986871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T09:11:10.008464Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact3
  • verified fuzzy24
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b76e7ec-1281-4ece-9181-511376f61d84 · outbound

This paper cites write newline.

Theoretical Benefit and Limitation of Diffusion Language Model write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-07T20:56:22.619373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.619373Z digest=sha256:dac95d40924d0f81189587a6e53823b7999d2dffca03620e9778b62f9a4b7281

Observation bd180ca2-5312-4fba-a8bc-02840e23238f · outbound

This paper cites GPT-4 Technical Report.

Theoretical Benefit and Limitation of Diffusion Language Model GPT-4 Technical Report

Reference 2

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no resolver link, observed 2026-08-07T20:56:22.631620Z

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source=arxiv_source observed=2026-08-07T20:56:22.631620Z digest=sha256:e64f1344b5ba7d7b968627cae4abe9ac874f3f90c03bb5ec5337723eeb70cfa6

Observation 9997875a-79df-42c5-b806-19a900d5fe75 · outbound

This paper cites D., Ho, J., Tarlow, D., and van den Berg, R.

Theoretical Benefit and Limitation of Diffusion Language Model D., Ho, J., Tarlow, D., and van den Berg, R

Reference 3

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verified fuzzy
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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.

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Observation 7abcba89-5081-4997-82b5-1c2ebaddf8fe · outbound

This paper cites Program Synthesis with Large Language Models.

Theoretical Benefit and Limitation of Diffusion Language Model Program Synthesis with Large Language Models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.650902Z digest=sha256:7bb7429a3280f8c562fc7b2c15df4ebbbc7265d8b5c7944cfb6b4a465494eefc

Observation 5c0c5678-6b91-45fb-a50e-1204301e899c · outbound

This paper cites Dirichlet diffusion score model for biological sequence generation.

Theoretical Benefit and Limitation of Diffusion Language Model Dirichlet diffusion score model for biological sequence generation

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.467761Z

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.

source=arxiv_source observed=2026-08-07T20:56:22.667801Z digest=sha256:12e0bfabb0c8667654002c655d6491029557220f72f74241a70c210e42c4161e

Observation 8ad678c9-e333-48e7-8327-e35526c2d907 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Theoretical Benefit and Limitation of Diffusion Language Model Neural Machine Translation by Jointly Learning to Align and Translate

Reference 6

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no resolver link, observed 2026-08-07T20:56:22.679855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.679855Z digest=sha256:72dfa309dc6daaca9296528e841843144cd1ff5f2a95cb06d4aa0cd12b2056cf

Observation bf57cf1a-42bf-4339-a452-42a5a0793855 · outbound

This paper cites F., Della Pietra, V.

Theoretical Benefit and Limitation of Diffusion Language Model F., Della Pietra, V

Reference 7

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verified fuzzy
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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.

source=arxiv_source observed=2026-08-07T20:56:22.687629Z digest=sha256:5a9b8cca4c1d90180ca02fcaa523ff7b4066c2367f2a9cd34d5f0bbce383b6ac

Observation 99a3ade1-01ed-4c45-a675-b0e6669a7610 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Theoretical Benefit and Limitation of Diffusion Language Model Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 8

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no resolver link, observed 2026-08-07T20:56:22.696457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.696457Z digest=sha256:3fb60b2561481df4ae49ed3e8dfe63ea47f7f9a638900056cf555fc96550a2a9

Observation 4bdd7fbd-72fb-43b9-9900-3cc9996e9c76 · outbound

This paper cites D., Rainforth, T., Deligiannidis, G., and Doucet, A.

Theoretical Benefit and Limitation of Diffusion Language Model D., Rainforth, T., Deligiannidis, G., and Doucet, A

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.389836Z

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.

source=arxiv_source observed=2026-08-07T20:56:22.705374Z digest=sha256:97750fcac4a5eb486db9620e0b0a81d2e357713fee524e43528bd60d5abcb3be

Observation 89cd1267-936a-4cd3-8454-f1171013c162 · outbound

This paper cites Generative flows on discrete state-spaces: Enabling multimodal flows with applications to protein co-design.

Theoretical Benefit and Limitation of Diffusion Language Model Generative flows on discrete state-spaces: Enabling multimodal flows with applications to protein co-design

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.338149Z

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.

source=arxiv_source observed=2026-08-07T20:56:22.712921Z digest=sha256:37e343a81bd3d00b882c25cb7aef200cf1fb431056dd121f4a5372cb1f67fa85

Observation 626451f0-b75b-447e-ab29-2be2722aec21 · outbound

This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Theoretical Benefit and Limitation of Diffusion Language Model Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.739266Z digest=sha256:10908976e9bfdb193a9738912d7626ef30708fb32c93012dd2cfb97122b9408f

Observation 5bd51ce7-1a78-4e9d-86b7-79a7392318ca · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Theoretical Benefit and Limitation of Diffusion Language Model Training Verifiers to Solve Math Word Problems

Reference 12

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unresolved
no resolver link, observed 2026-08-07T20:56:22.764603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e16aef3-0e63-4404-9460-3b6f45b75975 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Theoretical Benefit and Limitation of Diffusion Language Model Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 13

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no resolver link, observed 2026-08-07T20:56:22.793041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.793041Z digest=sha256:894283806dbea5b1e9ba0eaf8e53d5761b93c043711206c0c39597e8e0c19cf2

Observation 7d24be8d-a491-4826-b8d0-6d7022568ae6 · outbound

This paper cites Fisher Flow Matching for Generative Modeling over Discrete Data.

Theoretical Benefit and Limitation of Diffusion Language Model Fisher Flow Matching for Generative Modeling over Discrete Data

Reference 14

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unresolved
no resolver link, observed 2026-08-07T20:56:22.815651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.815651Z digest=sha256:0440475b2e83aa04f70b38b5a241c90539fed5a929bb12383944a816a50b015d

Observation 3f79a9bf-67ab-4de9-bc8f-00e288e00bf2 · outbound

This paper cites M., Dias Tadeu, T., and Paraboni, I.

Theoretical Benefit and Limitation of Diffusion Language Model M., Dias Tadeu, T., and Paraboni, I

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.297604Z

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.

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Observation a76a5031-57cd-4398-8513-2761ae2c9a3e · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Theoretical Benefit and Limitation of Diffusion Language Model BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 16

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verified fuzzy
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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.

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Observation 8a645d33-b790-466e-a40a-bf9830f069a4 · outbound

This paper cites Continuous diffusion for categorical data.

Theoretical Benefit and Limitation of Diffusion Language Model Continuous diffusion for categorical data

Reference 17

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unresolved
no resolver link, observed 2026-08-07T20:56:22.854970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35fe20d9-ef02-462c-ba3b-f9e8eb496d28 · outbound

This paper cites an unresolved cited work.

Theoretical Benefit and Limitation of Diffusion Language Model Unresolved cited work

Reference 18

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unresolved
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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.

source=arxiv_source observed=2026-08-07T20:56:22.863245Z digest=sha256:6ea7bdd5325fdd51b4c54efe1904103a1811a0370bd129e80bb6f9c6b97e3b3f

Observation 62ce9f39-a967-4c3f-acff-0f08f1319836 · outbound

This paper cites and Chiriatti, M.

Theoretical Benefit and Limitation of Diffusion Language Model and Chiriatti, M

Reference 19

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verified fuzzy
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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.

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Observation 3266d654-67fd-4218-a892-b189512d113c · outbound

This paper cites Discrete Flow Matching.

Theoretical Benefit and Limitation of Diffusion Language Model Discrete Flow Matching

Reference 20

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unresolved
no resolver link, observed 2026-08-07T20:56:22.880965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e03921ca-9b7f-4636-bb55-fbf2a1e836a6 · outbound

This paper cites Scaling Diffusion Language Models via Adaptation from Autoregressive Models.

Theoretical Benefit and Limitation of Diffusion Language Model Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5851597-9fb9-4055-a96e-3bcb31c5c1e6 · outbound

This paper cites and Hashimoto, T.

Theoretical Benefit and Limitation of Diffusion Language Model and Hashimoto, T

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.141744Z

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.

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Observation d94360f3-3dbf-4029-babe-60e2739db3da · outbound

This paper cites Diffusionbert: Improving generative masked language models with diffusion models.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusionbert: Improving generative masked language models with diffusion models

Reference 23

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verified fuzzy
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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.

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Observation 79d73e62-b155-431e-8112-c7824f8a8cf1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Theoretical Benefit and Limitation of Diffusion Language Model Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 24

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no resolver link, observed 2026-08-07T20:56:22.913797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.913797Z digest=sha256:ab7a429cb28a02144bef02cf55b102248d69d4fc77cc76b21cb4038a20cda475

Observation 3d4d48e0-1e9c-4f2f-a3d9-736194377d27 · outbound

This paper cites Denoising diffusion probabilistic models.

Theoretical Benefit and Limitation of Diffusion Language Model Denoising diffusion probabilistic models

Reference 25

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no resolver link, observed 2026-08-07T20:56:22.922477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ad02b212-88c4-430e-8010-61dea17a81b0 · outbound

This paper cites Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?.

Theoretical Benefit and Limitation of Diffusion Language Model Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 26

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unresolved
no resolver link, observed 2026-08-07T20:56:22.933369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation abf0484c-9cf1-4f44-8754-5a7a8783965d · outbound

This paper cites On the Learning of Non-Autoregressive Transformers.

Theoretical Benefit and Limitation of Diffusion Language Model On the Learning of Non-Autoregressive Transformers

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:56:24.741217Z

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.

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Observation fb9261aa-7593-4a35-bdb4-d860cd5400f2 · outbound

This paper cites L., Bahl, L.

Theoretical Benefit and Limitation of Diffusion Language Model L., Bahl, L

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.011821Z

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.

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Observation aaa8d118-04ee-4a0d-bfbe-566f4054e075 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Theoretical Benefit and Limitation of Diffusion Language Model Elucidating the design space of diffusion-based generative models

Reference 29

Resolution
verified fuzzy
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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.

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Observation 73e3c32e-5a1d-46d3-b944-e5ee4a85b4b8 · outbound

This paper cites Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions.

Theoretical Benefit and Limitation of Diffusion Language Model Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 621c137d-5202-4ad6-b533-6715d3e3b516 · outbound

This paper cites Fast inference from transformers via speculative decoding.

Theoretical Benefit and Limitation of Diffusion Language Model Fast inference from transformers via speculative decoding

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a0a03aa-d9a0-443f-8e9b-ad7ff0354e10 · outbound

This paper cites Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines.

Theoretical Benefit and Limitation of Diffusion Language Model Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Reference 32

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no resolver link, observed 2026-08-07T20:56:22.991987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.991987Z digest=sha256:e48831ab0a67aca6360a3c13847b0fce1aff349d483f9f3b1a06b7e005d394cf

Observation bab792dc-5e2e-400c-b4c0-4ba44b40f565 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Theoretical Benefit and Limitation of Diffusion Language Model Rouge: A package for automatic evaluation of summaries

Reference 33

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unresolved
no resolver link, observed 2026-08-07T20:56:23.000055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.000055Z digest=sha256:eadfaa8fa179acb586d27223393e7f8080193c4c75a859e7d8493a195a7ce05e

Observation 98fe0eaf-9983-4524-9b4a-58990c1f93f1 · outbound

This paper cites Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens.

Theoretical Benefit and Limitation of Diffusion Language Model Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.009766Z digest=sha256:99a16806e5706c866831ef78b43e6dded389898fccd8af01a2ad54d612663b92

Observation d9302ad3-dbf7-4719-90d9-a645174c1c9d · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

Theoretical Benefit and Limitation of Diffusion Language Model Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.856386Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.019248Z digest=sha256:99e55d19de61a6e6c8d9daa606980a34be75b4731b705d57c008c13a93901e42

Observation e6c3ef90-a67a-4187-a876-6e1dbd742e89 · outbound

This paper cites Diffusion Guided Language Modeling.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusion Guided Language Modeling

Reference 36

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.036132Z digest=sha256:f1588261ec351847e0be7dc7bf310f8f818aa2c3d0231ada7426aef10d369af5

Observation 0c4b590d-d500-490c-b85c-21a90c2846e2 · outbound

This paper cites Beyond perplexity: Examining temporal generalization in large language models via definition generation.

Theoretical Benefit and Limitation of Diffusion Language Model Beyond perplexity: Examining temporal generalization in large language models via definition generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.820872Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.050630Z digest=sha256:8a1f22ff596ee3e3baac8b26204687432c011c3fe3a258d218fef620f085be28

Observation 701f5e3f-dc2e-460f-90c8-128bbbad300f · outbound

This paper cites and Bunke, H.

Theoretical Benefit and Limitation of Diffusion Language Model and Bunke, H

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.761436Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.065741Z digest=sha256:210b7f1b33872f66b0e3f18075296156d9d8028cd8e89c766e4cb76eb9c7b637

Observation f92d1691-fcd7-4173-8891-d81b562c0438 · outbound

This paper cites Concrete score matching: Generalized score matching for discrete data.

Theoretical Benefit and Limitation of Diffusion Language Model Concrete score matching: Generalized score matching for discrete data

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.722686Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.076893Z digest=sha256:da97ba06ce6d6e7345c69991530fff82f6bb43c81d795301dcc4df285617a968

Observation a6f7fbce-4971-4391-9dd5-fda405a491c7 · outbound

This paper cites Scaling up Masked Diffusion Models on Text.

Theoretical Benefit and Limitation of Diffusion Language Model Scaling up Masked Diffusion Models on Text

Reference 40

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no resolver link, observed 2026-08-07T20:56:23.086307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.086307Z digest=sha256:aec1e3b0e4f44d05bd69f226f03a5ce1f189ae43e44534a6cf9987fe251f7cb9

Observation d282bd3b-8900-4c85-b849-3f3bdb774c8d · outbound

This paper cites Large Language Diffusion Models.

Theoretical Benefit and Limitation of Diffusion Language Model Large Language Diffusion Models

Reference 41

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no resolver link, observed 2026-08-07T20:56:23.094043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.094043Z digest=sha256:ada680b67fd57dc7bbd7421abc2a674a63f9dbcd05d853883007d62c0515179c

Observation 819865f2-5e65-4127-bd5f-1a2867beb907 · outbound

This paper cites Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.

Theoretical Benefit and Limitation of Diffusion Language Model Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 42

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no resolver link, observed 2026-08-07T20:56:23.102309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.102309Z digest=sha256:ac34c92c25b0b69164312fe4e70353294394be33a1b2d7f67897b1d068c63da2

Observation f9521dc3-06bb-487f-ad55-40d14889c3dc · outbound

This paper cites An Empirical Study of the Non-determinism of ChatGPT in Code Generation.

Theoretical Benefit and Limitation of Diffusion Language Model An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 43

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unresolved
no resolver link, observed 2026-08-07T20:56:23.111096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.111096Z digest=sha256:bc37b3f45017dc621975418c0193b7e483ceb04beaf0a6bae3b9fdb375b8bc4b

Observation 347d4662-a8b0-4efc-b993-f474958a4d34 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Theoretical Benefit and Limitation of Diffusion Language Model Bleu: a method for automatic evaluation of machine translation

Reference 44

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no resolver link, observed 2026-08-07T20:56:23.123653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.123653Z digest=sha256:cb4a926ec0aeee93d7f5ff314e3f36841e01ab77617699feabfe721f2d669a84

Observation 161caf89-bf23-4b42-849d-49466d23c864 · outbound

This paper cites Semi-Parametric Inducing Point Networks and Neural Processes.

Theoretical Benefit and Limitation of Diffusion Language Model Semi-Parametric Inducing Point Networks and Neural Processes

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:56:24.296007Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.141559Z digest=sha256:a9d46438c39bb6cb8ddbfed5a3a3bd47d9729ed5d09cfbc662a80ff7b98ee8d2

Observation 1fdd8eb6-1011-4f5e-adae-4609106fd827 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Theoretical Benefit and Limitation of Diffusion Language Model Code Llama: Open Foundation Models for Code

Reference 46

Resolution
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no resolver link, observed 2026-08-07T20:56:23.158419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.158419Z digest=sha256:3cf9ab85022834ad13c40d456616ce15e6cd18f8bd9be4f34d7a20e1f3f05d6d

Observation 43a96002-b401-4a6f-a54f-e20889d0be1e · outbound

This paper cites S., Arriola, M., Schiff, Y., Gokaslan, A., Marroquin, E., Chiu, J.

Theoretical Benefit and Limitation of Diffusion Language Model S., Arriola, M., Schiff, Y., Gokaslan, A., Marroquin, E., Chiu, J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.667726Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.172459Z digest=sha256:22d1bc9ecfca6ed901acfc2f9e62b788e1472c01c34c1b5f4404e0bd47b4aea0

Observation 105a5554-31db-44d5-b3a1-5642113395e9 · outbound

This paper cites Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36, 2024.

Theoretical Benefit and Limitation of Diffusion Language Model Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.618654Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.181068Z digest=sha256:5d1a75992ac3ffeac1867046594d9079d39cb29030712c38e0532c191fac1463

Observation cd583044-fc3a-4ada-9d2b-4bb61cfcd90e · outbound

This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Theoretical Benefit and Limitation of Diffusion Language Model Simplified and Generalized Masked Diffusion for Discrete Data

Reference 49

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no resolver link, observed 2026-08-07T20:56:23.187790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.187790Z digest=sha256:5aa01cef94618f35a796620c199390714dc1175abcdf9af0373ff07fb4856ed8

Observation d58ffe27-7fa5-4637-8e14-c5a7d417976b · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Theoretical Benefit and Limitation of Diffusion Language Model Deep unsupervised learning using nonequilibrium thermodynamics

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.580640Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.196261Z digest=sha256:a5f9105c1434094ce49b796475c2ad84319754a68d03181e58dea1fe7b01e646

Observation 9f8484a2-b566-4957-8300-5d0135b6f56c · outbound

This paper cites Denoising diffusion implicit models.

Theoretical Benefit and Limitation of Diffusion Language Model Denoising diffusion implicit models

Reference 51

Resolution
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no resolver link, observed 2026-08-07T20:56:23.206567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.206567Z digest=sha256:6d39c2e1f020fcc6b1e9c68d6c3228d65411b5ee3dd5a5348171e85a0efcdb98

Observation d571cfa9-61a1-41b5-8298-c2b4b188125c · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

Theoretical Benefit and Limitation of Diffusion Language Model P., Kumar, A., Ermon, S., and Poole, B

Reference 52

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no resolver link, observed 2026-08-07T20:56:23.219714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.219714Z digest=sha256:1694f72e3cbe08b8ef62eb08caff07009e561d02b88533471114b255a65b6bca

Observation 3526f03f-16f6-42f2-b233-a548e3065ad3 · outbound

This paper cites and Yang, Y.

Theoretical Benefit and Limitation of Diffusion Language Model and Yang, Y

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.455982Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.229188Z digest=sha256:0c99c1c213b8181c4fba55f2c8bf705b8b1ba8d80b88deffc53f073738dce43d

Observation 32d08e0e-e371-40f5-9e9c-c5ba9d74281d · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Theoretical Benefit and Limitation of Diffusion Language Model Sequence to Sequence Learning with Neural Networks

Reference 54

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no resolver link, observed 2026-08-07T20:56:23.238088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.238088Z digest=sha256:075a3baf4bb135a9d42b8b2ded49eec2c5568309e259fa9bf8ef63066b045b46

Observation 122e8c5c-e89b-439a-9f60-78c52e171997 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Theoretical Benefit and Limitation of Diffusion Language Model Qwen2.5: A party of foundation models, September 2024

Reference 55

Resolution
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no resolver link, observed 2026-08-07T20:56:23.247937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.247937Z digest=sha256:f584f440ff31a412056ea76b6c8582b6bc2066160e3cb582b4e27fac5b9ede42

Observation 06dd4555-62ce-4838-9254-c6753cdadc98 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

Theoretical Benefit and Limitation of Diffusion Language Model DiGress: Discrete Denoising diffusion for graph generation

Reference 56

Resolution
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no resolver link, observed 2026-08-07T20:56:23.257925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.257925Z digest=sha256:7fa714cebd595e03d627096c42f4bd3830c3df94bdde42682376a8ec8000c755

Observation 0303dd05-51cb-4811-b4ca-0aad2969a592 · outbound

This paper cites S., and Kuleshov, V.

Theoretical Benefit and Limitation of Diffusion Language Model S., and Kuleshov, V

Reference 57

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unresolved
no resolver link, observed 2026-08-07T20:56:23.268683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.268683Z digest=sha256:2567aab295913c9e09ad4d6fab3e2cbf5af77bfba0a6482960d9f2e1ac77e13f

Observation 89e701e3-ac8d-42d9-b97a-51ad6c74e356 · outbound

This paper cites Emergent abilities of large language models.

Theoretical Benefit and Limitation of Diffusion Language Model Emergent abilities of large language models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.378957Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.278043Z digest=sha256:6d35bae7641e026749b558178480b3c13c835b343cbe267d93cb85a298bd552a

Observation 069e906b-4201-41e4-bada-a6f73dab4a93 · outbound

This paper cites V., and Zhou, D.

Theoretical Benefit and Limitation of Diffusion Language Model V., and Zhou, D

Reference 59

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unresolved
no resolver link, observed 2026-08-07T20:56:23.284980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.284980Z digest=sha256:af3ae0de0b2eba09353f9bc58c92cdae87305eed917c9909a263ef94ca28d63f

Observation 21099ad6-f3dc-4c3f-9f12-70b29ad04160 · outbound

This paper cites V., Zhou, D., et al.

Theoretical Benefit and Limitation of Diffusion Language Model V., Zhou, D., et al

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.315339Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.297175Z digest=sha256:8e616100123d438c0df6b2012d0bc3b82e58ca8b6204c0204c26179908bde460

Observation af133cb8-dbdb-45ae-a41a-2ebfefdc47a5 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Theoretical Benefit and Limitation of Diffusion Language Model Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 61

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no resolver link, observed 2026-08-07T20:56:23.311897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.311897Z digest=sha256:082fb94cd04fad30505aa378db15cb0eb4630b1a2ea9a19f6225215ce6b4a9ed

Observation d3ff5632-c04c-4a6c-9624-e2b631866c1b · outbound

This paper cites Energy-Based Diffusion Language Models for Text Generation.

Theoretical Benefit and Limitation of Diffusion Language Model Energy-Based Diffusion Language Models for Text Generation

Reference 62

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no resolver link, observed 2026-08-07T20:56:23.328062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.328062Z digest=sha256:83b2cafb5118c4492718954d0a83ee4026579da17fe826764de1c093a4970f5b

Observation 758101c7-beb0-47a5-8a65-442c5c0c10a2 · outbound

This paper cites Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 63

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no resolver link, observed 2026-08-07T20:56:23.336842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.336842Z digest=sha256:fe3263e9c245b9429d7bf171f2dcf68c6a7cd4c0bf61a407b5184a399cec75d5

Observation 74795814-0e02-4cc2-a284-16481f204859 · outbound

This paper cites Dream 7b, 2025.

Theoretical Benefit and Limitation of Diffusion Language Model Dream 7b, 2025

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.277373Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.347775Z digest=sha256:45996bec33b8a7c0779589d4eef7d384b9ddf7171ac4d09ee4a6d92aa28e61e5

Observation f4e9dd0d-20b8-41ff-b0c1-db52cbefb657 · outbound

This paper cites Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models.

Theoretical Benefit and Limitation of Diffusion Language Model Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

Reference 65

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no resolver link, observed 2026-08-07T20:56:23.356626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.356626Z digest=sha256:ef805ad47a9df7710e61e16fa03f12a9f6ea10d3f0606b2cffa3d1f167223c3f

Observation c085a6e0-54b8-4583-bfcc-139d90618342 · outbound

This paper cites Tractable control for autoregressive language generation.

Theoretical Benefit and Limitation of Diffusion Language Model Tractable control for autoregressive language generation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:25.237272Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.366557Z digest=sha256:88269e52a96461db5e9158ea0bb7bb0e76f5cca0e7a50a8824576dfc2cb8aa58

Observation 40383f12-5a59-4677-ac88-3d5fcf060f18 · outbound

This paper cites Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows.

Theoretical Benefit and Limitation of Diffusion Language Model Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:56:23.735322Z

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.

source=arxiv_source observed=2026-08-07T20:56:23.375162Z digest=sha256:e43ce619f96f1ce38a8b468005a11e2dfc801c78b943f68b34e9518eefcd0d7c

Observation 6e27657f-33d2-43de-8940-aeec6c96cc39 · outbound

This paper cites Unified Discrete Diffusion for Categorical Data.

Theoretical Benefit and Limitation of Diffusion Language Model Unified Discrete Diffusion for Categorical Data

Reference 68

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no resolver link, observed 2026-08-07T20:56:23.386394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.386394Z digest=sha256:b4d32748cada80b2cd7cbfad41aac94ac6e717265066a2ae2c0a65b8855dbaee

Observation f5ea7dcc-99d5-40db-9061-e44beeeeb32a · outbound

This paper cites Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Theoretical Benefit and Limitation of Diffusion Language Model Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 69

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unresolved
no resolver link, observed 2026-08-07T20:56:23.393698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.393698Z digest=sha256:cfabc0e003130f172de52a5213df49743135dfc885d192938a26be710f36ec42

Observation 3863f122-3454-4f04-b875-2ec1e9f77e41 · outbound

This paper cites A Reparameterized Discrete Diffusion Model for Text Generation.

Theoretical Benefit and Limitation of Diffusion Language Model A Reparameterized Discrete Diffusion Model for Text Generation

Reference 70

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unresolved
no resolver link, observed 2026-08-07T20:56:23.400893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.400893Z digest=sha256:3d1b0926914ab4a3c4fef7bcc0b1ab65a0490472a605b32b998c361302679e5b

Observation 5e414939-47b1-4acb-9f83-fa8af65d1907 · outbound

This paper cites Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning.

Theoretical Benefit and Limitation of Diffusion Language Model Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning

Reference 71

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no resolver link, observed 2026-08-07T20:56:23.416767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.416767Z digest=sha256:843dce38467f909b9d25301bcf0d8e43867afc0333ff4a7ab02b68a82a8482e1

Pith citing papers

Observation 10e23769-69f6-4a87-a5bf-2af6e0fd18ac · inbound

dKV-Cache: The Cache for Diffusion Language Models cites this paper.

dKV-Cache: The Cache for Diffusion Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 17

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no resolver link, observed 2026-08-07T15:17:07.986871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:17:07.986871Z digest=sha256:65f4eea8803f040ebab76710a2c8db2adec02357a571e64f76fe75c2e34bfe0f

Observation 532ae6df-95f8-46fe-828b-d3186996a125 · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Theoretical Benefit and Limitation of Diffusion Language Model

Reference 11

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no resolver link, observed 2026-08-05T13:52:04.105363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:52:04.105363Z digest=sha256:8a603a0133ed81177577a1e7c131ab702631a79629a061f716534ba577a069b8

Observation b1e3c841-b528-40e5-a751-e608e5ffd1c5 · inbound

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs cites this paper.

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs Theoretical Benefit and Limitation of Diffusion Language Model

Reference 4

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no resolver link, observed 2026-08-04T11:28:09.266361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:28:09.266361Z digest=sha256:7526ec7a3736c79f56e2c6fdde461e1d8a00657deb9fc221df079c531f68c2d6

Observation b86e5c39-e570-4c43-9e50-b500e339f023 · inbound

CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit cites this paper.

CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit Theoretical Benefit and Limitation of Diffusion Language Model

Reference 5

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arxiv_id, observed 2026-05-18T09:11:10.011193Z

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.

source=pdf_text observed=2026-05-18T09:06:25.049493Z digest=sha256:7cbaa166a642ce72b0c0fae2ead008f5364d553b02f217a89cee4ea65ba5260e

Observation 6f1b55d6-7405-4338-816d-a4a13e5e273f · inbound

CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit cites this paper.

CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit Theoretical Benefit and Limitation of Diffusion Language Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T11:16:45.624184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:16:45.624184Z digest=sha256:e0e98b4f74bb4a10161da77aec356858c7a93dc9d3b43d626ec74e95c178895f

Observation 2b3002b6-130c-4702-a325-6558959cb1b1 · inbound

Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding cites this paper.

Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding Theoretical Benefit and Limitation of Diffusion Language Model

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T08:14:35.573164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:14:35.573164Z digest=sha256:8d41d923018e2689f8ecf74bbc8b0682003720b9affe49a5a338a0b702e6e984

Observation 6340eabb-75c2-4da2-adc6-4e790fd1058a · inbound

Sentence Curve Language Models cites this paper.

Sentence Curve Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T05:40:36.147398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:40:36.147398Z digest=sha256:0b06ffb03d1300fc1a3a29d76b541985812533589f2875eeb6007def21858c2a

Observation 70c75c76-77ac-45e3-b0ae-cc7229f39f67 · inbound

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching cites this paper.

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching Theoretical Benefit and Limitation of Diffusion Language Model

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:29:24.643905Z

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.

source=pdf_text observed=2026-05-10T10:28:00.424341Z digest=sha256:10ff077b92d7b20727c9dbd906a1672ca370383cf11e66837b9ef3feec6d37c4

Observation 31ba1570-c942-4947-b9b5-7fef66ac9518 · inbound

Stability-Weighted Decoding for Diffusion Language Models cites this paper.

Stability-Weighted Decoding for Diffusion Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:31.352221Z

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.

source=pdf_text observed=2026-05-10T06:12:37.804816Z digest=sha256:acb52457836cf08f4e9d5acdaf643dbe453cd7f1bfb1cfbb3a29b8d14e7034c3

Observation 778735d2-0eed-499c-ae36-9eaa98d95be7 · inbound

Differences in Text Generated by Diffusion and Autoregressive Language Models cites this paper.

Differences in Text Generated by Diffusion and Autoregressive Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:59:27.099348Z

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.

source=pdf_text observed=2026-05-14T20:59:06.804446Z digest=sha256:696ec7ea6ba978ca10061e8acfc7a2084632651debafaeee8105625b81c5c037