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Paper Citation Record · LEDGER

Anchored Diffusion Language Model

As of 18 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 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:59.036768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:38:59.036768Z digest=sha256:0fe45a1d57cec94c3671cad168bc0e2e3ca239630985435f5842222e81e7d6d6

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:38:59.283765Z digest=sha256:038cbf714cdfc6b0f72b1e943aaa27354d1a364a8598e8ad15129ad387dd1607

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:38:59.384307Z digest=sha256:473c3d5f64d0e346689ca9321eebdfc36a5f129f2297a81dfcdb23d7a9835eaa

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:38:59.491670Z digest=sha256:4217ce43738f753812a1916757832eb7d1c936291c3b7ca8cf4a3e2343b74e37

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:38:59.603802Z digest=sha256:3a0b2bf617c89b29d319a33a3e3e6fa5b88172d2eacb2ae7bad6badf8ebb2fc1

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:38:59.998900Z digest=sha256:7cea5f31c6d5308c86a7a703e0b98d44a0256dd2777da60cd1b5d1683ec5ba25

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:11.891851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:00.380299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:00.380299Z digest=sha256:11fd27ab90371b90ab8ece362fe29b23816ef47cda17d28911ee108a9dc33186

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:00.510403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:00.510403Z digest=sha256:c757d08a01e0beaee681e0c18ce50ccd7c7b6019acf6e92a9a5a96ae5df7d6c3

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

This paper cites Hierarchical neural story generation.

Anchored Diffusion Language Model Hierarchical neural story generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:00.638726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

This paper cites Openwebtext corpus.

Anchored Diffusion Language Model Openwebtext corpus

Reference 17

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:01.064162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:11.025766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:01.958228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:02.207206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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no resolver link, observed 2026-08-07T14:39:02.677502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:39:02.771744Z digest=sha256:f1aaaebe341cd99004c5f7856b42493633ff8449bce1bb6f8ff34c452905c494

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:02.946694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:03.045391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:03.045391Z digest=sha256:cbd0374b64d79142084bcc508218b656ab45ebb6a2801995af2668bd961fdfa3

Observation 2736cb81-4fe8-4890-b218-59b68f90631b · outbound

This paper cites Pointer sentinel mixture models.

Anchored Diffusion Language Model Pointer sentinel mixture models

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee196ebe-5ce9-4170-905b-7b07569b7f71 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:39:03.276776Z digest=sha256:6b8e196f6bdb3eb355c01672cdcd810ea5899a323e0bd20eb228a8bd74070bb5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:39:03.445119Z digest=sha256:c3f68bf3f9f2636aee85e8cc3423e8b2b5c4287116c17eeb843fe246721b0c84

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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Observation 7680496e-5f4d-4d5d-aacb-0bf7e735aadd · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Observation fd292724-2db5-482f-af43-3364a677df73 · outbound

This paper cites MAUVE : Measuring the gap between neural text and human text using divergence frontiers.

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

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

This paper cites Language models are unsupervised multitask learners.

Anchored Diffusion Language Model Language models are unsupervised multitask learners

Reference 43

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Observation 8978d614-a598-42a6-bac7-83ff302481c8 · outbound

This paper cites Reasoning to learn from latent thoughts.

Anchored Diffusion Language Model Reasoning to learn from latent thoughts

Reference 44

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Observation 8e61fd0c-1dd6-4922-ab9a-390a94f8e4d9 · outbound

This paper cites Simple and effective masked diffusion language models.

Anchored Diffusion Language Model Simple and effective masked diffusion language models

Reference 45

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Observation c27fcd28-eb64-47d7-a8e6-c16b594a524a · outbound

This paper cites Language models are greedy reasoners: A systematic formal analysis of chain-of-thought.

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

Reference 46

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source=arxiv_source observed=2026-08-07T14:39:04.501098Z digest=sha256:149635594d2a44caab0573a18c4387d1c2785a43a83549a030795ae2dc43b85a

Observation 9d85ea14-51fc-4f58-8f3c-55d150be0204 · outbound

This paper cites CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation.

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

Reference 47

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source=arxiv_source observed=2026-08-07T14:39:04.630297Z digest=sha256:456e783a81f4cf505717f2f2114bb09d73bd2fdb08034f22e5af0743323f1702

Observation 52797b49-6834-454f-90ce-4cbc17988167 · outbound

This paper cites Simplified and generalized masked diffusion for discrete data.

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

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Observation b083c11b-c25a-4976-ad72-58da2ff4e6da · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

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

Reference 50

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source=arxiv_source observed=2026-08-07T14:39:05.033943Z digest=sha256:cc8c65f6622d53a89548a6155e536e711d1f704ff4f19194a2bcf07bf6b3b2ee

Observation f46065ab-0d67-417a-b070-80c721e3d288 · outbound

This paper cites Axiomatic attribution for deep networks.

Anchored Diffusion Language Model Axiomatic attribution for deep networks

Reference 51

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source=arxiv_source observed=2026-08-07T14:39:05.162980Z digest=sha256:c5b6e4120646165e320bf02a910ddf94152b98bda8c61282228eafa8453c66e3

Observation 0e1b0904-a9cd-48b1-be79-e270eb47cf16 · outbound

This paper cites Omninet: Omnidirectional representations from transformers.

Anchored Diffusion Language Model Omninet: Omnidirectional representations from transformers

Reference 52

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:39:05.284703Z digest=sha256:3e0ae94a4b34b6763b18074bf3b3729c9f367b4326f6141d200e9c167476f6fe

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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source=arxiv_source observed=2026-08-07T14:39:05.403656Z digest=sha256:4f83c3a090cda8d8dab41fb025f5154c03f74ba3435df5cf8875cfaf2e65c79e

Observation f75ed19a-4e6c-489f-b379-66ccc26975cf · outbound

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

This paper cites Glauber generative model: Discrete diffusion models via binary classification.

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

Reference 56

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:39:05.799813Z digest=sha256:35786c420c6ba1a44cfd4d1ffa6b77b9428eba514a9e393564c1264e3da4f5f3

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

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Observation 63b72750-fdb6-4100-8109-9922448c60fb · outbound

This paper cites Remasking discrete diffusion models with inference-time scaling.

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

Reference 60

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Observation 11f7d00d-5aa2-45ec-b584-68d78733c570 · outbound

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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source=arxiv_source observed=2026-08-07T14:39:06.462125Z digest=sha256:a75a70a414c855ea71126b45a083b304399f6704663bcb00014483a30309d280

Observation 24b1131a-576b-42be-8812-9106dfe1551b · outbound

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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Observation eb49ba51-7621-4309-9ee0-36f2b9f81b18 · outbound

This paper cites write newline.

Anchored Diffusion Language Model write newline

Reference 63

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source=arxiv_source observed=2026-08-07T14:39:06.681448Z digest=sha256:54dd07ea47bce93f4dac37e64ca922a9d9f339fc448a239821effa47973d9efa

Pith citing papers

Observation 5512026d-d41a-443f-ade3-0fabd8784bef · inbound

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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Unavailable: canonical work link unavailable.

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Observation 76a6718c-3712-4070-94ae-99d94950cdb0 · inbound

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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Observation 98138791-d3ff-4bb0-9903-83f93e5f0495 · inbound

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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Observation 710b71cf-b638-4670-a564-36bfa08915ac · inbound

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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5d124acd-12a4-473e-b721-cbdfd00e0c33 · inbound

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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verified exact
arxiv_id, observed 2026-05-14T20:47:58.428582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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verified exact
arxiv_id, observed 2026-07-01T20:46:14.279785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Unavailable: canonical work link unavailable.

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