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Paper Citation Record · LEDGER

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

As of 7 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 11 inbound Pith citation observations for arXiv:2510.03206.

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

pith.paper-citation-record.v1
2510.03206 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T10:15:10.746336Z

measured 69 of 69 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:09:22.325150Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact43
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dfa62b26-777d-4d9f-91d2-dc8206bb346d · outbound

This paper cites GPT-4 Technical Report.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner GPT-4 Technical Report

Reference 1

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local_arxiv, observed 2026-05-18T10:16:14.121323Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:dd72360cd8a318467e3d5bc66b77e6d871573fbfe9edc53424a8254fc9c8617a

Observation 4827e47e-7413-4482-a797-1ec2fa46bef1 · outbound

This paper cites Why masking diffusion works: Condition on the jump schedule for improved discrete diffusion.arXiv preprint arXiv:2506.08316.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Why masking diffusion works: Condition on the jump schedule for improved discrete diffusion.arXiv preprint arXiv:2506.08316

Reference 2

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arxiv_id, observed 2026-05-18T10:16:14.118281Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:88483359bc2872ae7754dcd7b4c8cccfeda67cacbb467865be7a28a4062a7c02

Observation f6e8f25c-cde7-4e6e-bd16-b91dd587e3b6 · outbound

This paper cites Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA

Reference 3

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arxiv_id, observed 2026-05-18T10:16:14.131572Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:64d2f87577137f342c3382a51b56f533520b595819a54c0e734c2d931bf25f23

Observation fdd83911-c2ec-4928-b0ad-608acb45c788 · outbound

This paper cites Mixture-of-recursions: Learning dynamic recur- sive depths for adaptive token-level computation.arXiv preprint arXiv:2507.10524.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Mixture-of-recursions: Learning dynamic recur- sive depths for adaptive token-level computation.arXiv preprint arXiv:2507.10524

Reference 4

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arxiv_id, observed 2026-05-18T10:16:14.124924Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:b06f962a20fc7a6782744ecfb85b633727ceaaa5779b33c99903b2591b3b6dee

Observation 2b8304db-04cf-43ed-8c6d-73622e3a9f2f · outbound

This paper cites Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 5

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arxiv_id, observed 2026-05-18T10:16:14.128308Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:780bc5258b6b61f9e097d77fe9497b4f93dffbc390a5eff08375fca54241ebbc

Observation 04ce1a9c-a4a7-461c-8452-cb7aefbc8856 · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 6

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local_arxiv, observed 2026-05-18T10:16:13.996601Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:d5f4d35843cb46ac30b1d8976a436f488cef8f52e87b1ee283d6742382aeaebc

Observation 8a8970c2-ce9a-4841-9cb9-875c3c7ed5ec · outbound

This paper cites Compressed Chain of Thought: Efficient Reasoning Through Dense Representations.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Reference 7

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local_arxiv, observed 2026-05-18T10:16:13.975044Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:6e7368decb09e54570ac94c0239c0b228fb9892b60006aa851057ffb48733278

Observation 6e6747b9-de62-4e6f-9779-65fac187a958 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

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local_arxiv, observed 2026-05-18T10:16:13.993157Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:250ccca2844f5506f29da87294118c632ad5d0df4c1b7b5816c047c18ca569fa

Observation 24752e6f-26fc-419d-82c6-e5a0672d3921 · outbound

This paper cites Universal Transformers.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Universal Transformers

Reference 9

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local_arxiv, observed 2026-05-18T10:16:14.018047Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:c012c18b30fca701953297738772de3f6dab5b3c9d5fe576fba5c309b6b8bb7e

Observation d93d815a-b9da-4beb-9ab4-431bb92fa4b6 · outbound

This paper cites Continuous diffusion for categorical data.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Continuous diffusion for categorical data

Reference 10

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local_arxiv, observed 2026-05-18T10:16:14.039795Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:0318ce4a8c67cc1a6df41e05f46c614af310e38a06638437edc46d49d792195b

Observation 9ca8e407-aee7-4d64-b2b6-b56a0c604ce5 · outbound

This paper cites Learning Iterative Reasoning through Energy Diffusion.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Learning Iterative Reasoning through Energy Diffusion

Reference 11

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arxiv_id, observed 2026-05-18T10:16:13.984129Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:3db501ed8a72d3febfe03460d5ed17159de14ab57ad06d2c7828fa7fa066df65

Observation 547cb5db-c348-4027-bc09-67ed8809d07b · outbound

This paper cites Looped Transformers for Length Generalization.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Looped Transformers for Length Generalization

Reference 12

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arxiv_id, observed 2026-05-18T10:16:13.990243Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:9d7691c3a98a993cd17314be438c60f42f458f9cc6ddbd67503ab8f2f78493ec

Observation be702957-a151-4224-85a9-63fa0d4d27b0 · outbound

This paper cites La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching

Reference 13

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arxiv_id, observed 2026-05-28T02:04:09.240417Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:cfccda8017c19b737798f7dda6787d4fede4f2d38faf256c3ca90f9c27874f18

Observation 9b58bb96-6af0-4af5-8f0a-8c473044e670 · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 14

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arxiv_id, observed 2026-05-20T06:50:38.345995Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:e437b7e6c5ab3af502c9c9456a2557bf6e6e240e0b3ad0b548511fe34c84d888

Observation f1e6ca43-ead5-45bd-8f09-09a3b46c3591 · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Reference 15

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arxiv_id, observed 2026-05-20T19:59:37.219442Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:9686bf07aefdd310d5558c8752b88793fb8229d70cfd98148b178ac50b10bdf8

Observation 9e49b96e-8959-4739-99cb-49ff062aafe7 · outbound

This paper cites DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 16

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arxiv_id, observed 2026-05-18T10:16:14.114595Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:358566bd33943cf60b8f92d31ecba548c395f61aa5ca5ef7236654c942ef28cf

Observation e7dc7271-3170-42a4-b1b7-e0d26dd96056 · outbound

This paper cites Continuous chain of thought enables parallel exploration and reasoning.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Continuous chain of thought enables parallel exploration and reasoning

Reference 17

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arxiv_id, observed 2026-05-18T10:16:14.026094Z

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

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:432574ae640c23145a22a6e05b953ddcc4fe4615f32fb9b8fdd0f997e677414b

Observation 846e0603-dc69-4687-8f5e-d4fda42a6517 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 18

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local_arxiv, observed 2026-05-18T10:16:14.107194Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:0ca9e3fcc059eb914faf0811a491d83900aa25ca096d0630d02662a5b5f0ccce

Observation 47331e24-ca13-4b62-93e9-10b376dea0ef · outbound

This paper cites SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Reference 19

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arxiv_id, observed 2026-05-18T10:16:14.011266Z

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

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:66e5fb9a5ae895c59e8230225fda746686679c3f41aa13944a0282b566b71c36

Observation 5c7c90e8-74d6-4928-b39f-cd1711159047 · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Training Large Language Models to Reason in a Continuous Latent Space

Reference 20

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local_arxiv, observed 2026-05-18T10:16:14.103489Z

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

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:9b87ab00de5627a45d480398a5ad48280a891d396c2a5e88c7bfc24e8e97940a

Observation cf7f418f-6657-44cf-8841-fd3e0f8073a8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Classifier-Free Diffusion Guidance

Reference 21

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local_arxiv, observed 2026-05-18T10:16:14.014330Z

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

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:e88ef5c01478da7ba9df31ef271af419836a1b346bf894a92030474bcac0ecc0

Observation b021ff8b-7dc9-4b56-ad20-f4e8d510e775 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Denoising Diffusion Probabilistic Models

Reference 22

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local_arxiv, observed 2026-05-18T10:16:14.100133Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:1535e69e80692c06d0f71c50ee77075e60205020a24a90f420dcba2bcac0214b

Observation 56bfbda1-683b-4fb9-8d47-3eedf29945a3 · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 23

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arxiv_id, observed 2026-05-18T10:16:14.022179Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:e890d2bd16524910cb04753771184d6fbf6831856dea64942371dafdb755b3d7

Observation 7f391f38-6c0d-4a69-80e5-37c86663cf12 · outbound

This paper cites arXiv preprint arXiv:2504.16064 , year=.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner arXiv preprint arXiv:2504.16064 , year=

Reference 24

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arxiv_id, observed 2026-05-18T10:16:14.043400Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:e5c21f0ff345b74ad5a6710e2853d293e8cf069e9d9bc1e265a2cc8145b9e581

Observation 91592df9-8a6c-4a13-a836-db447686ebd9 · outbound

This paper cites Geometric Representation Condition Improves Equivariant Molecule Generation.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 25

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arxiv_id, observed 2026-05-18T10:16:14.032845Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:d2367a0388abaab0fb19b018c8e12566e5c90fc5a74c54e97acd2de351e9accb

Observation bdea260c-3f86-4527-93f7-1c2d20df2a73 · outbound

This paper cites Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 26

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local_arxiv, observed 2026-05-18T10:16:14.092457Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:4d5ec7cfcd6fe10f0037e25b7fa62265b3cced789688cf9f4b7c6417f5d638d4

Observation 063565ba-d1f2-4960-a4c6-cdc7ffd8eb85 · outbound

This paper cites TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner TESS: Text-to-Text Self-Conditioned Simplex Diffusion

Reference 27

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arxiv_id, observed 2026-05-18T10:16:14.036608Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:65e9eff2ad5c147d416efb039d6ef8f86827cbc3f5973f211702d32f44547231

Observation e15e1e69-f3e4-467c-9301-5bd418ed179d · outbound

This paper cites A little depth goes a long way: The expressive power of log-depth transformers.CoRR, abs/2503.03961.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner A little depth goes a long way: The expressive power of log-depth transformers.CoRR, abs/2503.03961

Reference 28

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arxiv_id, observed 2026-05-18T10:16:14.085600Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:abe3b65705214c0b3f8ad62f9aa109b7af947af12006eda496c10d97f8fcd6fa

Observation 3aa04b36-619e-44b1-9688-6b59f029eaf3 · outbound

This paper cites CoTFormer: A Chain-of-Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner CoTFormer: A Chain-of-Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference

Reference 29

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arxiv_id, observed 2026-05-18T10:16:14.054842Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:521dab6d0f2d79bd4b3ff3d27e267bd37cbf517fcb55df24609a2385cf037a47

Observation 466a6848-b691-412d-a297-a33e698a1921 · outbound

This paper cites Large Language Diffusion Models.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Large Language Diffusion Models

Reference 30

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local_arxiv, observed 2026-05-18T10:16:14.051122Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:816be41c7735b99a59cf4f03487d6fc0b285f4111cb7f3622e49744c95fe831c

Observation b6823db5-8ced-4261-abe6-91eda3219f1b · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 31

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arxiv_id, observed 2026-05-18T12:06:09.375609Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:cbd16aa92edae036d6d6313d5b5f9482584424925f1790d331fe5399d9883933

Observation 0364710c-cbf6-428f-a93c-4a312b68dfc0 · outbound

This paper cites Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces

Reference 32

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metadata mismatch
arxiv_id, observed 2026-05-18T10:16:14.077587Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:8fbe9fa5a07326b853754b77c67446c0692a1c3a3cf119cad1454b0c60e0e128

Observation 18f277db-627a-4fdb-975f-9c50c1f0d0e8 · outbound

This paper cites The diffusion duality.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner The diffusion duality

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.058532Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:6df8f4a3051d4e70e8c063dbaba2d6c77403e3329574e56c98c95fc74e09b239

Observation d9cca2d0-50a0-414e-84a8-f613b453f372 · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.089168Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:053e658a4d0635f0acf1a59d610cb1cb595614feb58f6836fe73ad9636096246

Observation b16ab29f-2883-4c2f-a139-a0ffb9c4af3e · outbound

This paper cites Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.062043Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:c4d4042048f10fe3b28ab2413632a224a775788e7666c06fc64cc0232dc31ae8

Observation 18359401-d2dd-4983-af18-7d7b6aa7f866 · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:14.069863Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:b04867abd799545647de74463a8df0e6356e6ee4153468a4638ea7ce9ec22b1c

Observation 592ea9eb-3ab6-4974-a75d-e6e4016db4be · outbound

This paper cites Denoising Diffusion Implicit Models.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Denoising Diffusion Implicit Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:14.065892Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:f93660aaa44019d47d4b0bf77cc59d7f678f5ee4294041ff459e752e79007209

Observation 6e8c6485-dde2-4c7b-a82c-4270c8f17e61 · outbound

This paper cites Generalized Interpolating Discrete Diffusion.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Generalized Interpolating Discrete Diffusion

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.029609Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:d82ecaf19cc36945dc6da627bfaa88092ee2b4107819af969724314d4ab99379

Observation 02e5d02e-19e9-4612-a793-e631782e74ac · outbound

This paper cites Learning diffusion models with flexible representation guidance.arXiv preprint arXiv:2507.08980.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Learning diffusion models with flexible representation guidance.arXiv preprint arXiv:2507.08980

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.047555Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:906105fa63b885a18cbd6617c6a0bd806cb733891665bc1b6cf38c2c221cd400

Observation 8e20147d-5814-4dd2-a8bd-427e4936d365 · outbound

This paper cites On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.073803Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:cebf75092275e8533bc34a9bb1b84f2b619c1811ffa5df3f7ab47a561ad573c3

Observation 3cfbf628-d9ba-4f32-9f2a-a689a2a14428 · outbound

This paper cites Qwen2.5 Technical Report.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Qwen2.5 Technical Report

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:13.980673Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:77d11747621a221742bbe01629441f19ffa25e03a0bd05dd265a62643124109f

Observation c42590b9-826e-4ca9-9f6d-70bf4264b09c · outbound

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

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Dream 7B: Diffusion Large Language Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:13.987041Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:a260d1fc3a7e371ddfaa866f3433cc5a43d2c6815e5d1478f89a1dcb89da93ea

Observation ba03d9af-b1c5-4c8e-b3bf-a238e368297f · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:14.081404Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:3558325f871150a4bd9f7c69483a1746e4f1fb2af4aab23de1fd8d4972604014

Observation 49b0e67d-3144-4c0f-b4c3-68cf88cae989 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:13.977887Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:cb7cc81df2cca8b645c850241c1e5e4a9b76d0ac38d6737268fb1cdf27ebc409

Observation b15b3493-8c48-4c1a-a558-583e048370b9 · outbound

This paper cites Reasoning by superposition: A theoretical perspective on chain of continuous thought.CoRR, abs/2505.12514.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Reasoning by superposition: A theoretical perspective on chain of continuous thought.CoRR, abs/2505.12514

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.000368Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:c2fa7975ad84f99e992dbc9deb0ac52c515ff50494b26d9a223d8ff992d6f687

Observation 2313354c-c291-470c-b515-9fdee068fe39 · outbound

This paper cites an unresolved cited work.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:14.543341Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:fa30518242b8d561ba16f62e3f4a7b0738378e961f57471d4696afa66888788f

Observation fffb03a9-e480-4a7c-9c22-6c5ba685d844 · outbound

This paper cites Subsequent methods (Ou et al., 2024; Sahoo et al., 2024; Shi et al.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Subsequent methods (Ou et al., 2024; Sahoo et al., 2024; Shi et al

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.541361Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:37478ae6e050bac783f7a5233a418b4c22c8e56fa26d69d466f0253e7c55e025

Observation 61abaf24-c83d-41ae-b7b7-e7ed524e6f51 · outbound

This paper cites an unresolved cited work.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:14.539247Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:eaf52497518a2beed53ec8ed57885776e7035cec71161fcd35a1b6bbafca344c

Observation e5c2687b-85c7-44be-883e-179072b2be5d · outbound

This paper cites an unresolved cited work.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:14.537144Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:7909e556089177b35671f404d28326f21e0c3685b7b89cc190fcbe998452c1fc

Observation 435db0e7-d905-44fe-a7a7-49a27c8902e1 · outbound

This paper cites an unresolved cited work.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:14.534986Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:642e806ded6c2cdb1d6d3c9e8ae334cc1dbc5af5231c73792b68cca07514a0e3

Observation 46ebae0f-c143-452d-ad29-474dbe028958 · outbound

This paper cites DUO (Sahoo et al.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner DUO (Sahoo et al

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.532976Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:f4af9a377d0583cb550ee77c5e14202abc95f718d42ea2c1fa71f56bb69c637d

Observation a96d413a-4e80-48be-afd9-2db41efa7017 · outbound

This paper cites In comparison, our work generalize their results and provide systematic 14 Preprint.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner In comparison, our work generalize their results and provide systematic 14 Preprint

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.530592Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:d645bda60d6373b2c4b5b08f81fa85a65ddac8bc7c977434911ff9756f1e4149

Observation e2b647ff-30f1-400c-8928-1ad34a099880 · outbound

This paper cites For any {pt}t∈[0,1] ∈F disc(θ), the embedded marginal qt :=E ♯pt ∈eFdisc(θ) is supported on afiniteset in RL×d.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner For any {pt}t∈[0,1] ∈F disc(θ), the embedded marginal qt :=E ♯pt ∈eFdisc(θ) is supported on afiniteset in RL×d

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.527726Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:992e7d0f9c01e7d1bbe21861a5d20ee626a1b218f9f4a3b0ecc3087a9a17f0c3

Observation edb09db3-b4d3-4feb-a3be-33cbe750ea5a · outbound

This paper cites single time-conditioned network.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner single time-conditioned network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.518336Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:b9d902275b51fbbd7b011b1e2f92cace930069efcbd55fc5e6657800758d3049

Observation 42d67da6-2c53-4b12-a8cf-5d9184b3c9de · outbound

This paper cites an unresolved cited work.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:14.520383Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:31ad84c5578a8619f2c1e458d59c9ad2d81f83ebca0ca4544095e76ebf8306e8

Observation 02474261-c17c-4307-9165-57860f0fc172 · outbound

This paper cites This selection is consistent with the analysis in the main text.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner This selection is consistent with the analysis in the main text

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.545343Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:212d8ecc8eb19f08ede27e2ab6767bfe581cae362447578b5e0e7af6a501c66e

Observation cef1d3a4-d021-4277-a41b-84bc023859f4 · outbound

This paper cites VP” refers to the variance preserving schedule in DDPM, and “Linear.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner VP” refers to the variance preserving schedule in DDPM, and “Linear

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.524865Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:38c6ca66dbdad5a04cc7680e2f7a0fe466f03d4c2a547c0fc96430c70cc27d6c

Observation 26f38a0a-2c1f-46c5-a070-10f64f93c092 · outbound

This paper cites The continuous forward process then starts with ˜z0 instead of the original z0.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner The continuous forward process then starts with ˜z0 instead of the original z0

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:14.522757Z

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=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:a79de2185e8314d06e1c530ccedb1637f9e241fe5b898afdb75e58186a98d445

Pith citing papers

Observation a1e4de1c-e410-48a5-86d2-fa3e39484fb4 · inbound

CANDI: Hybrid Discrete-Continuous Diffusion Models cites this paper.

CANDI: Hybrid Discrete-Continuous Diffusion Models Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T08:09:22.325150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:09:22.325150Z digest=sha256:5452f47d456050743b7d0f7e66138ca0582ea7c1a56d2f42042d6ce9c46a4ecb

Observation e43b6bb8-b460-44f2-ab3d-8bf74f80634f · inbound

Co-Generative De Novo Functional Protein Design cites this paper.

Co-Generative De Novo Functional Protein Design Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:48:13.393140Z

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=2026-05-09T15:18:49.411291Z digest=sha256:f004e0b4de4b35b44c874705c85d05e8662a59359bc3c28b8d10c7b677ebd9d0

Observation 4181d55e-7bf6-442c-bf1f-8f846eb133d0 · inbound

Solve the Loop: Attractor Models for Language and Reasoning cites this paper.

Solve the Loop: Attractor Models for Language and Reasoning Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T05:42:20.994495Z

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=2026-05-13T05:39:09.529461Z digest=sha256:c66c31267438c60e2538673fd3b8bfa6979fb00f4bd8f76569367b8d5f631326

Observation 71535d3d-a56c-4596-982e-c456433ad7e2 · inbound

Understanding and Accelerating the Training of Masked Diffusion Language Models cites this paper.

Understanding and Accelerating the Training of Masked Diffusion Language Models Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-14T20:39:28.852212Z

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=pdf_text observed=2026-05-14T20:31:04.491385Z digest=sha256:d6bc903beffb164267ba3bdda8977b346b80d78b6a2515c62674d12b8ec265d8

Observation fab0fd61-e63a-4289-8569-eabed0080539 · inbound

Understanding and Accelerating the Training of Masked Diffusion Language Models cites this paper.

Understanding and Accelerating the Training of Masked Diffusion Language Models Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-02T14:15:54.195601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:15:54.195601Z digest=sha256:aaff19a3081186859d7e1bc9a3796fadb59a82244791208f45f7b634ff047575

Observation 0290d428-4317-4534-9d95-3aca3e325458 · inbound

DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling cites this paper.

DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T04:40:23.355718Z

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=pdf_text observed=2026-05-25T04:39:14.465855Z digest=sha256:40c8b098ccc82d4d96655172739998f8e515f0ad85151f08ec59333e6d26c071

Observation bf442159-ee3f-4afb-aabf-6f288306c9ab · inbound

Continuous Language Diffusion as a Decoder-Interface Problem cites this paper.

Continuous Language Diffusion as a Decoder-Interface Problem Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-06-27T18:31:07.864391Z

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=pdf_text observed=2026-06-27T18:27:10.422343Z digest=sha256:af831f518add5043152fcf4914716277f5b2d9f2650b644dc4f68f864871d685

Observation 1c83458e-e572-4f99-93fa-79d725c53047 · inbound

Recursive Scaling in Masked Diffusion Models cites this paper.

Recursive Scaling in Masked Diffusion Models Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T19:58:54.950485Z

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=2026-06-27T01:44:05.022187Z digest=sha256:efcc0e7e7a712af38be8187e7a2d0b9f8420caa8fac9392edde143530340004a

Observation f34647fc-2706-4be7-9a45-d1b951149d32 · inbound

Masked Language Flow Models cites this paper.

Masked Language Flow Models Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:06:02.632079Z

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=2026-06-29T01:17:56.122002Z digest=sha256:17243c43a75ab47e5ba3b027d2acb73390d49bba68a80ccf3889cbc6f9ec33a6

Observation 5b430f77-ea5c-4f77-85c8-fd0059bb85fa · inbound

Token Time Continuous Diffusion for Language Modeling cites this paper.

Token Time Continuous Diffusion for Language Modeling Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 28

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no resolver link, observed 2026-08-02T14:47:41.124976Z

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source=pdf_text observed=2026-08-02T14:47:41.124976Z digest=sha256:f7d9ba0db43529f849f4d9bff9bda9298cc2ebaa99541c6d782ae01c37ff5a77

Observation 4884bf01-b83b-4e0e-8d68-06458551725e · 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 Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner

Reference 105

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no resolver link, observed 2026-08-01T14:25:47.407238Z

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source=arxiv_source observed=2026-08-01T14:25:47.407238Z digest=sha256:1842a9e40ef7f312fa4757d845d4c3e01af493c44ecb6211ffa1b5a69b39821f