Pith. sign in

Paper Citation Record · LEDGER

Theoretical Benefit and Limitation of Diffusion Language Model

As of 15 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 2026-08-15T06:32:42.880941+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

Resolution
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=sha256:60c79d7f44b16e1e96b86d14d3f0d73cd0a6dacf111a6615bc12c3d8c6ee366f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.631620Z digest=sha256:3cf23a888aac458b638a3c8b4f66e834f02ffebfc87cf39cd43cf4fde4c86702

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.504118Z

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=arxiv_source observed=2026-08-07T20:56:22.641190Z digest=sha256:5cc765cf6d13d76288cd8066b265179bbb570a9807290ee17246710a348cccdd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:22.650902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.650902Z digest=sha256:bbd2a4786b6d70bf3d92b497308ab76535787777ba1cdd98bae0d4d2ab08e834

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.667801Z digest=sha256:5230b0567805d024f4171324557c804c4d8f0510bb0590c3deed256bc7ad4c08

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

Resolution
unresolved
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=sha256:09ac453bd8e147002a875ea9003408a238ed0ee288604fd269b38a8a4710622f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.431894Z

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=arxiv_source observed=2026-08-07T20:56:22.687629Z digest=sha256:bdf792253882effd0e210cc3e3e82c01bb933b4f278d04ce7835036be9fb367b

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

Resolution
unresolved
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:efbc19bfbfc191517f354fe84bed22b1b36c12ee47c3d019ed5ce91a4e1cd2e4

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.705374Z digest=sha256:6ec237e7cbcbc2abf19f665ebf2416a496c2ff770ca0be41e5b0a68237c9d70c

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.712921Z digest=sha256:3d0bd36e731f66bc7180e2dc9e4f3808b63ff82868650f6ab207f93a8cb690f9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:22.739266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.739266Z digest=sha256:6f06c86e5ebfaaf931fd86edc4b05b5963ae95dd7502546780eaee560ecf0438

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.764603Z digest=sha256:664e89c966b73862a28dda36c2b9ee17b0281624d2daa8664943471fa52e0332

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

Resolution
unresolved
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=sha256:868771c924aa894e9993d8483267cade3b761138afbbc43f1df65af363a633e6

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

Resolution
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=sha256:801e8e6529177c0722192f1d6272279df10c54bb12bc6a91222a229c444bb76c

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.841735Z digest=sha256:c6614cd9000c37ba2c11c6150535d4e546f2934311bc673af0968112493ffaa3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.256129Z

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=arxiv_source observed=2026-08-07T20:56:22.848175Z digest=sha256:18728c2871b10238c83bc2f5247ccf1c173302d2027dbdc8a7c1e433a1c59add

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.854970Z digest=sha256:abbe3dc1ce474962b36245432033403a8919f64c4730864b98e54c93007651f0

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:56:26.226216Z

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=arxiv_source observed=2026-08-07T20:56:22.863245Z digest=sha256:752d82e91e6e6d2df3f5e7a01906d428199f08e54132cf78daa68898377f4089

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.177953Z

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=arxiv_source observed=2026-08-07T20:56:22.873923Z digest=sha256:f766ad60047d72c4d1944cedc7c6bb47292d526bea972442ed2a902006e290e2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.880965Z digest=sha256:69fc44811a9ca44f8dfea3ebf0ab4c9b6e8d294374d67c8933c1f74511313518

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:22.889150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.889150Z digest=sha256:81200970f4d62b33e6fa90501ae340c687808d35df92692905db664cd47349f6

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.896981Z digest=sha256:ab4e29df1f9d37962b46301b4720e7bfe8a1a25fe4b459040739410cd8cafa45

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:56:26.101893Z

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=arxiv_source observed=2026-08-07T20:56:22.905018Z digest=sha256:3cebcd026353d2b0083121c686bdbf37831dc967b2bc0c686d690a08a749279e

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

Resolution
unresolved
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=sha256:840aadb8a0b5a867d848f85c773d4eb13d67d80e7823fc9946f5d04b5ee44c48

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.922477Z digest=sha256:78e0f61ce1fec2a9df0b5b9a5274b561c8b23414d13ea11596f71599dc72426b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.933369Z digest=sha256:033b9b631a67184d0f9baa9f6229a32b59aee836fcab7f3ee450f3c3da9ac78d

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.939990Z digest=sha256:c4be8952cf0f9988da77264f0bc9855e03e6ed877830ff9cee4f8ff0a23dcee2

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:22.950502Z digest=sha256:daba122ec54f90c363f9e9414dc656550231186c0926195e85c31e73b89a5b02

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
raw_fallback, observed 2026-08-07T20:56:25.973364Z

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=arxiv_source observed=2026-08-07T20:56:22.956784Z digest=sha256:d03b018f027924ce8739195b71c249954a92078611b67cc2fec0233c244d94bc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:22.970265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.970265Z digest=sha256:22ac328f42538876337befce31d9bf84548663200d1a21312c000169e55b1cdd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:22.981353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:22.981353Z digest=sha256:ec7528168d56c2de030348bb73f647ead5d29eb384d77eff21e00fca843d0944

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

Resolution
unresolved
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=sha256:824b2364fe4f3eb82b4bf215150d1d781720c042888243013a8115dc95ac4d84

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

Resolution
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:b57c3e4e8ced1e0fb45e732b433a3999096ba00be1e715f1dd0cb318f5760138

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:23.009766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.009766Z digest=sha256:44085462c31e514e47fb1308e5919cbf917c347a4c050aaeb7f0de772e7e462f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.019248Z digest=sha256:698f104ca51ac96c8c9eaacde065015b29788421e3dd279cf7f88fa091e83619

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

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:23.036132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.036132Z digest=sha256:9bff642cf7ce5f0475b42d5b0c7822222a113b4c1486c12486b3ec7bed3e9df9

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.050630Z digest=sha256:7697aec521fe463a133dc63e0aa22f434ef4d089bf85db92cd8f5968822bd464

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.065741Z digest=sha256:c254ce6e58052db4bc5cce9a99e9ed718ddd22317213a0efde0b40cb9c60a5bf

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.076893Z digest=sha256:74b8d29bc941f8b631605e61f37b85906dbbcd8500ed03544ac0951b0e229bca

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

Resolution
unresolved
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:f9872fa7f5635d6bd36030b640b1364f353555313e3b55d156572b31f28d4b73

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

Resolution
unresolved
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=sha256:875ce15dba50c2ce509683116be9fda7a5c1b8a13743b9d794e063a372817898

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

Resolution
unresolved
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=sha256:52e750d899734f761d7dba04038c446f1aadbee2d888742dbdc9fa3fe7fcfbf7

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

Resolution
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:b58d3c3b5b4c1a4cc65fcd8f40048a04873a55dfa511e982925e85970b40e028

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

Resolution
unresolved
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=sha256:04e41a82c52d1d1a8e5dc8939d86601390200cae0581db163537351332dab6ab

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.141559Z digest=sha256:c0cd81177618f85273dcb80bdc51841745f37b475e8d129b78abcae052f8dc05

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
unresolved
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=sha256:86b45e12ace3809e9f6c7b1b5f39783c9e3c5e9027e89eb8f1c7c7efab286c9b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.172459Z digest=sha256:e70cf665820d585827114f215a49fd9b4e3ee0ac731df4892e719740cf2053fb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.181068Z digest=sha256:c16e9def9a949cad60e3f57c689b7aa9111629a6afbe407e02f858904b8a2cd4

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

Resolution
unresolved
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=sha256:1f5798d69c1f36ec3be5b7d15981e867e2aa886dab09f94110d98bc36cacaa7a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.196261Z digest=sha256:e5d4736a4d15a98f2ecd3de1263859feded8ad917323d74a945971d7168174a7

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
unresolved
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=sha256:37f0ca6bc8a01d55c64e47647809fe9e57e026f25204798dad8acd03a3e65d59

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

Resolution
unresolved
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:b6132f989e2a84a32b092f6cc2ad2da99234accbf240b8487f1cb6c88460c1b3

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.229188Z digest=sha256:5f91dbe644437f291a8a81a6603607f44312c9a415a1e2b89d239d10dd00e876

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

Resolution
unresolved
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:a5ef5d1ec5deb3b717486ebea94e74155f5a4172330c821e55e61891f652f362

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
unresolved
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:deb1cf5212d8ac847279531dd98d496ed2754bb9f7b6cbb90a4eb13a27ab4fe4

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
unresolved
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:c45a470b63f66ca31e7c63f2aa6f66f0a5d6ec9948a91b43339d1a5375600a0e

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

Resolution
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=sha256:3c09e7c8c86b13777ef38ad1d83ab6ffc23c8c248fe25d19f872189bfd1991b4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.278043Z digest=sha256:99075bb0e1e51e2a65c952e31830f0c2435fe874496fded17c66209d1fbc2274

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

Resolution
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=sha256:7fcde7de39737ca15ba52d556354a7f422ddb38c0a8c10dd3eaa3da259639fcb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.297175Z digest=sha256:ddd412aa424d9b9e25c05311259edf8447144705ff29cf7ab655ae5b5cbb4a2b

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

Resolution
unresolved
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:bf281f9c2006658547462e0297f07886acb38c575432f83f8a21579d91d3c44d

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

Resolution
unresolved
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=sha256:1bca72bc88caf532f29df60df32c5fed7c3f416d22b23f4e588164e4c057394d

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

Resolution
unresolved
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=sha256:09b1d3e8e4fb3119a3fc85e39cc875b3ff1b3a94eed22b4e49c2fd64f1b331eb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.347775Z digest=sha256:f928da5c8f97d05338576b4487f49b86ce8d49f78721d9748b3e5c17132165aa

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

Resolution
unresolved
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=sha256:452aca57ebb621aa7f968695fa0748be3fe219107bf3160492e7a27911cbb1cd

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.366557Z digest=sha256:4aa142794162336371a005deb23e4fdeafef7b10e7f11b28743eed9dc42bd97a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T20:56:23.375162Z digest=sha256:c686f5a36ceb200cd2abca05aa4f797cb04b19cefdeafd813b8173f0657b179d

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

Resolution
unresolved
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=sha256:6fe69f62d484da313ab34df761600a66782c9f21ee4f0950a0ebacfcff01822d

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

Resolution
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=sha256:1d768ece5ca54db608dc337391eca6393f9e3ceef4351694d3b016decc96e063

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

Resolution
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:f0ac0147ad0e16ae80ac6e87cf225adf6a983217855f2e78c0bc8cb36f9de527

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

Resolution
unresolved
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=sha256:5a7371d5cfee5e7db3705f61e5a4fc7eac3875b3da13831b49c7f755b358c354

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

Resolution
unresolved
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=sha256:619e3e6f781c6c8cdbaa3d1c9a271af73477a7d69929c31557c889a48f68b05e

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

Resolution
unresolved
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:b62cf8216ee3cf4fbfa3c96886ad8c2f1f0932d0b72ba791a8ba59c622e7f101

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

Resolution
unresolved
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=sha256:84882468b8bd509fff8bd353768c3dbfafe7d2712532f551a867e180dcf8ba56

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

Resolution
verified exact
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T09:06:25.049493Z digest=sha256:7d63031cf40740cc4d14cc4073f975c744cf64896fa461e7a1fd8f1e18081481

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:aecabfeec222285c77af14b791c99f97dde39f92c68ebac40872ac7539c0e359

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=sha256:74d4a928800ff90782c0f6f27e63e04804b59018713dadcc72d8336c6a40beba

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:bdb3b6304e2b108f4ddd792918bfea45d7ac15c329e4c554d65cb8bf58abc13c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T10:28:00.424341Z digest=sha256:d71f8a4366f26ca6cf2435e213451a7e3fe7b64666fc00cce69ad1da8aeea130

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T06:12:37.804816Z digest=sha256:67882c698c91be3ded16c546ed9331b7d3369cf137d29fbafeb5f4865f0deea0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T20:59:06.804446Z digest=sha256:dba2821708dcf505eaa6c44de988f85172e12139c501bfa549ac8ecf084c3cde