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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.01024.

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

pith.paper-citation-record.v1
2606.01024 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:39:11.170970Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4f7a2dc-bc49-4b96-90ce-1feab8fe6f27 · outbound

This paper cites an unresolved cited work.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:8bbe2bbdbc7201678b68aec2bd8d66fe5231450a345af61369bf0a3446114e4c

Observation 4b0d66d8-70b4-40b3-861b-cdfd3db66192 · outbound

This paper cites International Conference on Learning Representations , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs International Conference on Learning Representations , year=

Reference 2

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no resolver link, observed 2026-06-28T17:39:11.170970Z

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:80b70a221dab207931478baeec516c40ffab499fc6a71d0322c2b509a404cad0

Observation d90defaf-229a-4b5d-bbe6-aebd2e8b1111 · outbound

This paper cites International Conference on Learning Representations , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs International Conference on Learning Representations , year=

Reference 3

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no resolver link, observed 2026-06-28T17:39:11.170970Z

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:d253dbd65965c400d14d18cb7bbfdc8e26c37a605c4bf69fcc18db644429843c

Observation 1359391e-50f2-49ba-b468-b2a03efd25fc · outbound

This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Reference 4

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local_arxiv, observed 2026-07-01T20:46:14.274937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:a5d9d02361087d4a79bed1adf88f8f95bd1b99d89b82d6deb84afdc14b3831b9

Observation 85c4a120-9228-4b34-abe9-ecf16c19849a · outbound

This paper cites Sdar: A syn- ergistic diffusion-autoregression paradigm for scalable sequence generation.arXiv preprint arXiv:2510.06303.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Sdar: A syn- ergistic diffusion-autoregression paradigm for scalable sequence generation.arXiv preprint arXiv:2510.06303

Reference 5

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arxiv_id, observed 2026-07-01T20:46:14.262520Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:13838c66330398a2d1784e9ce6e99d5d03f48c9e921c2551996eb865130af8a8

Observation 947ab651-0c42-47ec-b52e-d9e7c9175778 · outbound

This paper cites Beyond hard masks: Progressive token evolution for diffusion language models.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Beyond hard masks: Progressive token evolution for diffusion language models

Reference 6

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arxiv_id, observed 2026-07-01T20:46:14.269679Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:80ed1a068c105816e175f04eb61e2875c4c1e64745554499a5b0dd7ec715a09c

Observation 9066bd78-db62-409a-83fe-a17ade3912d7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 7

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:3777cc26e03abec08e17169971f3f1f28fd718ad8c26ab070fe6bb5db029a0ac

Observation a14c2ad6-cab5-45b2-94ac-6778927f90c4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 8

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:3cf1bc8c8c4bbf275f9015e2863e51e741aaad70440305461b436701c96da83e

Observation 477aa3e4-e9d4-40ba-8e69-49c45af6adcd · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Proceedings of the 41st International Conference on Machine Learning , year=

Reference 9

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:b9123f1fbf9c74e7ea683c20b030f6d321a72fc6cf6bde6d6d39e996bd9eda96

Observation 331788a4-b3ac-48a1-9eb4-9df870b72496 · outbound

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

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Discrete Stochastic Localization for Non-autoregressive Generation

Reference 10

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local_arxiv, observed 2026-07-01T20:46:14.272154Z

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:837fa62676b6e28a4ca8dc3cb09558b12a26867bc959ae844123eb5c41d73a02

Observation e7a25d7b-aa43-4329-9aa5-081b90a4912f · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs The Thirteenth International Conference on Learning Representations , year=

Reference 11

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:1836e2378293b10a75043bc9cdfbaed51fd523a6765f43ff4a6b281880a6386a

Observation dbc3081d-b39d-4663-81c8-fac11fe2f693 · outbound

This paper cites Mercury: Ultra-Fast Language Models Based on Diffusion.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Mercury: Ultra-Fast Language Models Based on Diffusion

Reference 12

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local_arxiv, observed 2026-07-01T20:46:14.277498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:51720e59a861d44e16d854073cc54c7a6fc880cf925ea1e8fd062be59b793c8e

Observation 707c6bdc-d71b-4b16-aa0c-86ada959e637 · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Proceedings of the 42nd International Conference on Machine Learning , year=

Reference 13

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no resolver link, observed 2026-06-28T17:39:11.170970Z

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:c3d66de4d2c9e4dfde456aa350d13a881b98e1995776ebed1e87bb48fcb3e44b

Observation 24d64394-46eb-4135-8ca2-998768434179 · outbound

This paper cites arXiv preprint arXiv:2602.01362 , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs arXiv preprint arXiv:2602.01362 , year=

Reference 14

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verified exact
arxiv_id, observed 2026-07-01T20:46:14.282739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:c32ec16162a8038b6f05e92fa6bed1f5fad21b092db7d9560960422019127928

Observation e7de4b82-6195-451d-b9dc-452d184e9892 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Dream 7B: Diffusion Large Language Models

Reference 15

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metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.267752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:7e066c42bb65b853b30b963b418afd72d40116734a24b78fb1845cd18da569ae

Observation 1d089f4d-580c-45ed-8e06-58e84ceb9873 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 16

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:76d9979cfcb711e0c3a5d110359fbfed9341a1e3829686de59a3a57f5c5cc252

Observation abc7e4ab-8c2a-4f6e-9495-ed98592e7df0 · outbound

This paper cites Diffusion-.

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

Reference 17

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:be40852085b7685094d8e0c5ba8ae194a74a326060fec557dddd179b671b33a8

Observation 0e5519d0-ca5f-4b31-a9fb-c1616a5017d0 · outbound

This paper cites Continuous diffusion for categorical data.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Continuous diffusion for categorical data

Reference 18

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metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.269971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:61ae184498b43e875bd132834b3b52fa569c194cf7e637ba497977e40126f1ce

Observation 2762e1c6-0693-4aa0-b973-5e4d760bb851 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 19

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:0224ef7f646b125322f6fed72741eba034ad5057d4111975a95a384802d75ebb

Observation 6e68fa99-dab0-4da9-a262-537e527efbb7 · outbound

This paper cites 2023 , address=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs 2023 , address=

Reference 20

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:965e231d0a8658682047d799b6855140e873fff0d3c0eef7c332850eeab05de1

Observation e7fb15f5-4e1d-4a5b-a6f4-c5956c224e86 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 21

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:4b3a5afa880a7c4e50b2fa0f6084de33874609a77e7a23674e61d9d2956e974d

Observation e5b32a72-9221-4594-bc6d-545925579f56 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 22

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:e37feaa515ffb366f8907fe45ccda371b7d312e9dfc696c639dbeac6e973ad93

Observation e6023c48-a3ee-4134-b61a-f8e588042a05 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 23

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:c654826c0b657f68489137fb2601d84c29074c71596e060954185ffc631e223c

Observation b74be104-94f2-4849-9579-e28ff8cae792 · outbound

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

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Fine-Tuning Masked Diffusion for Provable Self-Correction

Reference 24

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metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.284964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:4f0c61e557f9c05cabbf222820cc30621a3201728be491e90f10c62d5e3e7532

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

This paper cites Anchored Diffusion Language Model.

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

Reference 25

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

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:4acf3827fab3f2b7c41405d8e7bd6c38aad9fb6fa8cb843a2ee88a17fc7451ca

Observation 51da33a0-1349-4605-819f-63f8d9a3f086 · outbound

This paper cites an unresolved cited work.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:df211078d6dcd4149dc9486aad8911dd0af32b601346bec43bea38f5f3eb139b

Observation 0d615783-d21f-4997-8d95-4e973b2275da · outbound

This paper cites and Lapata, Mirella , booktitle=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs and Lapata, Mirella , booktitle=

Reference 27

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:b41960d6549308d67c32ee5b2b0473443e7cbd9436b204dd24056cccf0521f34

Observation 21419d16-2bd4-4531-88ea-1a27e39a8ae0 · outbound

This paper cites Abstractive Text Summarization using Sequence-to-sequence.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Abstractive Text Summarization using Sequence-to-sequence

Reference 28

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:e86265bf0af7bf5e52fbc40f18566fae9c85cee3018d6aa6da11b7d068e5fde6

Observation 0f20cba4-dbbd-45aa-a886-d55129db56f9 · outbound

This paper cites 2019 , address=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs 2019 , address=

Reference 29

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no resolver link, observed 2026-06-28T17:39:11.170970Z

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:21a62dc4b19ec9a4d946f585cb0a2c78cb726ba17dc9dd3da0b945f66f9fe3ba

Observation 4319f403-2eb7-4a81-9cd2-3208cbac29e0 · outbound

This paper cites Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) , pages=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) , pages=

Reference 30

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:3eb66d73c370edc1a71061ebaae8aab7e15539582c1eff168b9f66420d8b58ad

Observation 0ba9bb84-87fa-43c8-8652-21ad8927be0d · outbound

This paper cites Scaling behavior of discrete diffusion language models.CoRR, abs/2512.10858.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Scaling behavior of discrete diffusion language models.CoRR, abs/2512.10858

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-01T20:46:14.280049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:b5456c95541bdbcae77dc71a12cb476c593a64b76045b585cf74ea5556083a96

Observation 13ccd482-903e-4e61-97ef-801998765c0a · outbound

This paper cites LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

Reference 32

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local_arxiv, observed 2026-07-01T20:46:14.261479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:ee0dd096e7a46f5f892f79799183239bc12f3180aa7ce27ba81709714b3f1406

Observation 8c28019c-ded2-4b44-a9e5-fd83ffac1a07 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Advances in Neural Information Processing Systems , volume=

Reference 33

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:3e567bb594eba6df4c422916ccc9122e98b6666e2bf3dfab93e98ce597e8f406

Observation a8c50a92-6562-4189-934c-8672d28e6a79 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs The Eleventh International Conference on Learning Representations , year=

Reference 34

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:ed0bc24879a0d213d519faa25023af18b289488d7f4f4f6b687c6b0e81c26fdd

Observation 82e33a9f-e6ea-4aff-bf53-42d188df6942 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 35

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source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:bf05856c8d3298a97bd81e8fccd3e2daaa1084479d7d2a76e21171bae3280805

Observation c310c3cf-f474-4d75-accf-817a7cf6a70b · outbound

This paper cites an unresolved cited work.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:c016e5afa7663e060dfdbea49de61561a5241873db553a28988e2cb8332c0840

Observation 39fc371b-4f72-42de-99db-911c3c38a8eb · outbound

This paper cites Flow Map Language Models: One-step Language Modeling via Continuous Denoising.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Flow Map Language Models: One-step Language Modeling via Continuous Denoising

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.256354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:79448c985ec234dff92ac7e7494ff671682cc1a9ad7d1e9107fe0dd576cd24cb

Observation 8fc819f0-7aa1-4901-9ef2-3421b98358f5 · outbound

This paper cites an unresolved cited work.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-28T17:39:11.170970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:1a38e80058ac1abc2f72e238f52274210b8f6822cef598ec33e0d0dbc68fe29c

Observation 759dead9-e174-4afb-8358-c94f9612234c · outbound

This paper cites Introspective Diffusion Language Models.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Introspective Diffusion Language Models

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.277343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:eafaa73924f0842b884b5b4c12b7349f8f07b3f31aa7311a823553701dea9684

Observation 8c04cba7-8c99-4cb7-bd85-2ec291b4a099 · outbound

This paper cites , journal=.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs , journal=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T17:39:11.170970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:4f0419e7e462eca2af2444b6889f2aa2a9d4584a1cc1d7b7f9439d11e43cbbc8

Observation 53019029-aec6-4bd9-9a2f-27d89795909e · outbound

This paper cites an unresolved cited work.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T17:39:11.170970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:8beb1fd1232cca240853ca048a2928a8d8ff0a45df4fb6a6ac9bf5eb93efa8f2

Observation 63c21727-814a-4a73-97c9-547f37d4197b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Training Verifiers to Solve Math Word Problems

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:46:14.251984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T17:39:11.170970Z digest=sha256:9580c62008cc9aae9a42f759e8bc5b10acdea508f9c516d30260bcf460ea59a9

Pith citing papers

No inbound Pith citation observations are available.