Paper Citation Record · LEDGER

Anchored Diffusion Language Model

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 7 inbound Pith citation observations for arXiv:2505.18456.

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

pith.paper-citation-record.v1
2505.18456 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:06.681448Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:16.805001Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:46:14.278414Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy24
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ce6cb26-551e-455f-a5d5-49119d6a7ef7 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Anchored Diffusion Language Model The claude 3 model family: Opus, sonnet, haiku

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:13.879220Z

Source-reported events for the cited work

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Observation b1bb3506-e19b-4d4d-8151-510d0fa0130a · outbound

This paper cites Block diffusion: Interpolating between autoregressive and diffusion language models.

Anchored Diffusion Language Model Block diffusion: Interpolating between autoregressive and diffusion language models

Reference 2

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Source-reported events for the cited work

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Observation ff08b4e7-0388-41cc-91b2-1200997783c2 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

Anchored Diffusion Language Model Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:13.631420Z

Source-reported events for the cited work

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Observation cc57b84e-24e3-40ea-8834-ebc3b7ff25b9 · outbound

This paper cites A neural probabilistic language model.

Anchored Diffusion Language Model A neural probabilistic language model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:13.360816Z

Source-reported events for the cited work

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Observation 81891a66-8540-45eb-b175-327041b1a0b2 · outbound

This paper cites Language models are few-shot learners.

Anchored Diffusion Language Model Language models are few-shot learners

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:13.094828Z

Source-reported events for the cited work

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Observation 35e57478-4f96-48e0-aac6-7f9a88f8fd39 · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

Anchored Diffusion Language Model Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:12.874152Z

Source-reported events for the cited work

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Observation 8af44e27-6b6c-4645-9299-16e0d75906aa · outbound

This paper cites A continuous time framework for discrete denoising models.

Anchored Diffusion Language Model A continuous time framework for discrete denoising models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:12.661708Z

Source-reported events for the cited work

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Observation 8f049e08-84ba-4c18-815c-bb1dca98347f · outbound

This paper cites One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Anchored Diffusion Language Model One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 8

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Source-reported events for the cited work

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Observation 037a33cf-2f88-4974-8bc1-e460bc001008 · outbound

This paper cites What does bert look at? an analysis of bert’s attention.

Anchored Diffusion Language Model What does bert look at? an analysis of bert’s attention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:12.408545Z

Source-reported events for the cited work

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Observation fa02e8c1-7dd9-44fd-96e4-55f0f141745b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Anchored Diffusion Language Model Training Verifiers to Solve Math Word Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:59.998900Z

Source-reported events for the cited work

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Observation 06f5ca7c-9c2b-4507-ac30-4667e36e161d · outbound

This paper cites A discourse-aware attention model for abstractive summarization of long documents.

Anchored Diffusion Language Model A discourse-aware attention model for abstractive summarization of long documents

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:12.158053Z

Source-reported events for the cited work

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Observation 8f4ccba6-6bec-4dbc-a250-3aa4af905e41 · outbound

This paper cites Transformer-xl: Attentive language models beyond a fixed-length context.

Anchored Diffusion Language Model Transformer-xl: Attentive language models beyond a fixed-length context

Reference 12

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Observation 0c433977-63d8-4822-a18b-ff12c195ed25 · outbound

This paper cites Maximum likelihood from incomplete data via the em algorithm.

Anchored Diffusion Language Model Maximum likelihood from incomplete data via the em algorithm

Reference 13

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Source-reported events for the cited work

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Observation 8af0f5d5-6d4a-4931-8ef2-6e2bed1b5294 · outbound

This paper cites From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step.

Anchored Diffusion Language Model From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 14

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Source-reported events for the cited work

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Observation 17de1736-4bef-409e-89ab-df0d31db9acf · outbound

This paper cites Hierarchical neural story generation.

Anchored Diffusion Language Model Hierarchical neural story generation

Reference 15

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Source-reported events for the cited work

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Observation 76fb7c70-f37e-4c06-b2ae-96f846c8e646 · outbound

This paper cites an unresolved cited work.

Anchored Diffusion Language Model Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 3d5c6c26-b2cb-49da-af73-d0185d91a937 · outbound

This paper cites Openwebtext corpus.

Anchored Diffusion Language Model Openwebtext corpus

Reference 17

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Source-reported events for the cited work

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Observation fe14b957-2fdf-4166-b4dc-c4a87108df83 · outbound

This paper cites Think before you speak: Training language models with pause tokens.

Anchored Diffusion Language Model Think before you speak: Training language models with pause tokens

Reference 18

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Source-reported events for the cited work

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Observation 3e279421-604b-4a84-b640-52d5354052e1 · outbound

This paper cites Likelihood-based diffusion language models.

Anchored Diffusion Language Model Likelihood-based diffusion language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:11.339861Z

Source-reported events for the cited work

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Observation 81097abb-f2f3-4b0a-9020-67de277c70b2 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Anchored Diffusion Language Model Training Large Language Models to Reason in a Continuous Latent Space

Reference 20

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Source-reported events for the cited work

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Observation c8c17fe8-e82b-466b-8c11-1b357b0453a6 · outbound

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

Anchored Diffusion Language Model Diffusionbert: Improving generative masked language models with diffusion models

Reference 21

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Observation d7038d43-b11b-4815-bcf0-f3694ec56bea · outbound

This paper cites Denoising diffusion probabilistic models.

Anchored Diffusion Language Model Denoising diffusion probabilistic models

Reference 22

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Observation c2c09ced-eb9e-42cf-af79-e005c83c2df8 · outbound

This paper cites Interpolated estimation of markov source parameters from sparse data.

Anchored Diffusion Language Model Interpolated estimation of markov source parameters from sparse data

Reference 23

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Source-reported events for the cited work

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Observation 2e5e736b-6781-45fd-9021-bda6475a412d · outbound

This paper cites An introduction to variational methods for graphical models.

Anchored Diffusion Language Model An introduction to variational methods for graphical models

Reference 24

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Source-reported events for the cited work

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Observation 34f21089-e3fc-4115-b4b6-f8eb4f407f9d · outbound

This paper cites Generalization through memorization: Nearest neighbor language models.

Anchored Diffusion Language Model Generalization through memorization: Nearest neighbor language models

Reference 25

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Observation eff69f4d-420c-427a-993d-7eaace310741 · outbound

This paper cites Probabilistic graphical models: principles and techniques.

Anchored Diffusion Language Model Probabilistic graphical models: principles and techniques

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:10.657618Z

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Observation e18d0ff5-e2d8-463a-8ee1-c23d5b75cec7 · outbound

This paper cites Global optimality of the em algorithm for mixtures of two-component linear regressions.

Anchored Diffusion Language Model Global optimality of the em algorithm for mixtures of two-component linear regressions

Reference 27

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Observation 6f351d66-6edc-4ed1-8017-160b1b2aa5c3 · outbound

This paper cites Visualizing and understanding neural models in nlp.

Anchored Diffusion Language Model Visualizing and understanding neural models in nlp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:10.434128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0bc1f4f-b1ad-4f5b-9e33-62babb78f3f7 · outbound

This paper cites Diffusion- LM improves controllable text generation.

Anchored Diffusion Language Model Diffusion- LM improves controllable text generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:10.196642Z

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Observation 8c10c74b-be92-47fa-abfe-0ac42a4c9758 · outbound

This paper cites Diffusion- LM improves controllable text generation.

Anchored Diffusion Language Model Diffusion- LM improves controllable text generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.969440Z

Source-reported events for the cited work

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Observation f2482a7c-2923-4974-8a9b-db309645ec85 · outbound

This paper cites Assessing the ability of LSTM s to learn syntax-sensitive dependencies.

Anchored Diffusion Language Model Assessing the ability of LSTM s to learn syntax-sensitive dependencies

Reference 31

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Observation 6b6841c5-c06a-4b31-b4db-993a146c71a6 · outbound

This paper cites Think while you generate: Discrete diffusion with planned denoising.

Anchored Diffusion Language Model Think while you generate: Discrete diffusion with planned denoising

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.746665Z

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Observation 7f73c345-9412-4e2d-a716-d670484af5a6 · outbound

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

Anchored Diffusion Language Model Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 33

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Observation aa7e6ecf-d4cf-4448-a776-8d65fdc1da8d · outbound

This paper cites Building a large annotated corpus of english: The penn treebank.

Anchored Diffusion Language Model Building a large annotated corpus of english: The penn treebank

Reference 34

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This paper cites Pointer sentinel mixture models.

Anchored Diffusion Language Model Pointer sentinel mixture models

Reference 35

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This paper cites A view of the em algorithm that justifies incremental, sparse, and other variants.

Anchored Diffusion Language Model A view of the em algorithm that justifies incremental, sparse, and other variants

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.461268Z

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Observation b62f61ea-352b-4877-9944-e8392f11765a · outbound

This paper cites Scaling up masked diffusion models on text.

Anchored Diffusion Language Model Scaling up masked diffusion models on text

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:09.169622Z

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Observation 577880ad-df62-4238-a96f-b95136a3bd9c · outbound

This paper cites Large Language Diffusion Models.

Anchored Diffusion Language Model Large Language Diffusion Models

Reference 38

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This paper cites Your absorbing discrete diffusion secretly models the conditional distributions of clean data.

Anchored Diffusion Language Model Your absorbing discrete diffusion secretly models the conditional distributions of clean data

Reference 39

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Observation 9b78781d-9349-46ae-bce6-c001adcef62f · outbound

This paper cites The lambada dataset: Word prediction requiring a broad discourse context.

Anchored Diffusion Language Model The lambada dataset: Word prediction requiring a broad discourse context

Reference 40

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Observation 0383c29c-9de2-4043-987b-4abcc129ee00 · outbound

This paper cites Scalable diffusion models with transformers.

Anchored Diffusion Language Model Scalable diffusion models with transformers

Reference 41

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Anchored Diffusion Language Model MAUVE : Measuring the gap between neural text and human text using divergence frontiers

Reference 42

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Observation 11ff892a-711c-45b1-b894-c001827e7cfd · outbound

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Anchored Diffusion Language Model Language models are unsupervised multitask learners

Reference 43

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Anchored Diffusion Language Model Reasoning to learn from latent thoughts

Reference 44

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Anchored Diffusion Language Model Simple and effective masked diffusion language models

Reference 45

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Anchored Diffusion Language Model Language models are greedy reasoners: A systematic formal analysis of chain-of-thought

Reference 46

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Anchored Diffusion Language Model CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 47

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Anchored Diffusion Language Model Simplified and generalized masked diffusion for discrete data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:08.119929Z

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Observation 789076cb-57e4-4164-9f2f-b028fc30978f · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Anchored Diffusion Language Model Deep unsupervised learning using nonequilibrium thermodynamics

Reference 49

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Anchored Diffusion Language Model Roformer: Enhanced transformer with rotary position embedding

Reference 50

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Anchored Diffusion Language Model Axiomatic attribution for deep networks

Reference 51

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Anchored Diffusion Language Model Omninet: Omnidirectional representations from transformers

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:07.855647Z

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Observation 013a91ac-1994-4a00-ab92-2784262482ec · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Anchored Diffusion Language Model Gemini: A Family of Highly Capable Multimodal Models

Reference 53

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This paper cites BERT rediscovers the classical NLP pipeline.

Anchored Diffusion Language Model BERT rediscovers the classical NLP pipeline

Reference 54

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Observation d0bc9ceb-8d24-4520-b232-b4ad8704242a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Anchored Diffusion Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 55

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Observation 85cc6d48-6334-4d71-b06e-37ebd5d0a678 · outbound

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Anchored Diffusion Language Model Glauber generative model: Discrete diffusion models via binary classification

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:39:07.574901Z

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Observation 8dac312e-0a18-448f-9aef-879f82478e9d · outbound

This paper cites Generalized Interpolating Discrete Diffusion.

Anchored Diffusion Language Model Generalized Interpolating Discrete Diffusion

Reference 57

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Observation 5a49883a-7e80-453e-94d2-9a19b3764475 · outbound

This paper cites BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model.

Anchored Diffusion Language Model BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:06.099849Z

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Anchored Diffusion Language Model Remasking discrete diffusion models with inference-time scaling

Reference 60

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This paper cites Chi, Quoc V Le, and Denny Zhou.

Anchored Diffusion Language Model Chi, Quoc V Le, and Denny Zhou

Reference 61

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This paper cites Character-level convolutional networks for text classification.

Anchored Diffusion Language Model Character-level convolutional networks for text classification

Reference 62

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This paper cites write newline.

Anchored Diffusion Language Model write newline

Reference 63

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Pith citing papers

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A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models Anchored Diffusion Language Model

Reference 40

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Any-Order Flexible Length Masked Diffusion cites this paper.

Any-Order Flexible Length Masked Diffusion Anchored Diffusion Language Model

Reference 42

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Fine-Tuning Masked Diffusion for Provable Self-Correction cites this paper.

Fine-Tuning Masked Diffusion for Provable Self-Correction Anchored Diffusion Language Model

Reference 2021

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Discrete Stochastic Localization for Non-autoregressive Generation cites this paper.

Discrete Stochastic Localization for Non-autoregressive Generation Anchored Diffusion Language Model

Reference 14

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Discrete Stochastic Localization for Non-autoregressive Generation cites this paper.

Discrete Stochastic Localization for Non-autoregressive Generation Anchored Diffusion Language Model

Reference 21

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Observation 0e4092a3-c70b-4d7b-b303-7781e75e1e54 · inbound

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs cites this paper.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Anchored Diffusion Language Model

Reference 25

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Observation 3ebc75e4-5bf4-488f-b59e-58850309c538 · inbound

From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models cites this paper.

From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models Anchored Diffusion Language Model

Reference 48

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