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Paper Citation Record · LEDGER

Token Time Continuous Diffusion for Language Modeling

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.14106.

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

pith.paper-citation-record.v1
2607.14106 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:47:41.276459Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation aaa2f888-e44b-4439-a73a-fcc088565e3c · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993, 2021.

Token Time Continuous Diffusion for Language Modeling Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993, 2021

Reference 1

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source=pdf_text observed=2026-08-02T14:47:37.831368Z digest=sha256:a191b724f5270bf070d41c37ed36d17825445fa3997d05983e20a14b5905002e

Observation a8dbd241-4883-4f46-a343-9671ca6134f8 · outbound

This paper cites Dirichlet diffusion score model for biological sequence generation.

Token Time Continuous Diffusion for Language Modeling Dirichlet diffusion score model for biological sequence generation

Reference 2

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source=pdf_text observed=2026-08-02T14:47:37.902786Z digest=sha256:cc2924fb7e0605a4eecfe74fb995bca0781ca5a800ecea409963b99b3115c82e

Observation 63c70b89-ec62-4762-96c3-ac3cb5792139 · outbound

This paper cites How to build a consistency model: Learning flow maps via self-distillation.arXiv preprint arXiv:2505.18825, 2025.

Token Time Continuous Diffusion for Language Modeling How to build a consistency model: Learning flow maps via self-distillation.arXiv preprint arXiv:2505.18825, 2025

Reference 3

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source=pdf_text observed=2026-08-02T14:47:37.962955Z digest=sha256:3fa384a5c51244e5dc760d16dec10062e8eb68cddb511d2b20c48a2c2a81a5ae

Observation 79e48127-74f6-4ef4-918b-480e6977318c · outbound

This paper cites Fisher flow matching for generative modeling over discrete data.Advances in Neural Information Processing Systems, 37:139054–139084, 2024.

Token Time Continuous Diffusion for Language Modeling Fisher flow matching for generative modeling over discrete data.Advances in Neural Information Processing Systems, 37:139054–139084, 2024

Reference 4

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source=pdf_text observed=2026-08-02T14:47:38.057821Z digest=sha256:675db308a32320039641920647a542206396a54e81309874b118a1e07431e8a5

Observation f6355e10-8ae7-4727-97d0-b4c567ceafcf · outbound

This paper cites Continuous diffusion for categorical data.

Token Time Continuous Diffusion for Language Modeling Continuous diffusion for categorical data

Reference 5

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source=pdf_text observed=2026-08-02T14:47:38.206165Z digest=sha256:bca0fa61612765efcde2193a12633861f9e38905e54971397319d38efbabfb08

Observation 25522045-961f-44a3-84b2-5955f3396938 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Token Time Continuous Diffusion for Language Modeling One Step Diffusion via Shortcut Models

Reference 6

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source=pdf_text observed=2026-08-02T14:47:38.336610Z digest=sha256:3af7fd912e75f4d0b95be76d6ad6678b63495b515a9b7440cf9faa0b5e4a4af9

Observation ab5253a6-fb51-440b-b367-ab961292d3ff · outbound

This paper cites Likelihood-based diffusion language models.

Token Time Continuous Diffusion for Language Modeling Likelihood-based diffusion language models

Reference 7

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source=pdf_text observed=2026-08-02T14:47:38.475566Z digest=sha256:6a8f24caf420c5a42d696b027a54c45637e04317f5ecbd349fe3e5d39ce25b19

Observation 63d433c6-5b51-4f1a-b308-a43edd48f639 · outbound

This paper cites Continuous diffusion model for language modeling.

Token Time Continuous Diffusion for Language Modeling Continuous diffusion model for language modeling

Reference 8

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source=pdf_text observed=2026-08-02T14:47:38.629029Z digest=sha256:9fdc3dd544291fe23c9c66304fd60eb2d22b630a6d391ecb3eaf35519c606e85

Observation adf67ca4-000e-483b-bee8-d0b37172eda4 · outbound

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

Token Time Continuous Diffusion for Language Modeling Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 9

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source=pdf_text observed=2026-08-02T14:47:38.747246Z digest=sha256:5bbd8e8203f91ec69947685ea4c3d258d7d4034b9932c72c723ae373be0977db

Observation 96b7d668-0edf-4f03-9454-9b2754b9f3b8 · outbound

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

Token Time Continuous Diffusion for Language Modeling Flow Map Language Models: One-step Language Modeling via Continuous Denoising

Reference 10

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source=pdf_text observed=2026-08-02T14:47:38.912641Z digest=sha256:b9b2427fe2d6375f53de12458274f01083ad3631b0a4b1cea65d52d837371c31

Observation 1d00975e-ea92-4cbd-a6de-1d2efcc28514 · outbound

This paper cites Diffusion-lm improves controllable text generation.Advances in neural information processing systems, 35:4328–4343, 2022.

Token Time Continuous Diffusion for Language Modeling Diffusion-lm improves controllable text generation.Advances in neural information processing systems, 35:4328–4343, 2022

Reference 11

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source=pdf_text observed=2026-08-02T14:47:39.021787Z digest=sha256:998513edfb1949107de060e5ab7f1adcb000c0257956a7218302ce3e7c0e494f

Observation dc56f6c2-907d-46bc-83e9-d518181c1406 · outbound

This paper cites Stop-think-autoregress: Language modeling with latent diffusion planning.arXiv preprint arXiv:2602.20528, 2026.

Token Time Continuous Diffusion for Language Modeling Stop-think-autoregress: Language modeling with latent diffusion planning.arXiv preprint arXiv:2602.20528, 2026

Reference 12

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source=pdf_text observed=2026-08-02T14:47:39.177204Z digest=sha256:1eaf601532a232a9341da8d9923519e09539c070bcfc3e3ebcd7bfa07f6ea01c

Observation 282c77ed-8c41-4af7-9c19-532cf4e6caa3 · outbound

This paper cites Latent diffusion for language generation.Conference on Neural Information Processing Systems (NeurIPS), 2023.

Token Time Continuous Diffusion for Language Modeling Latent diffusion for language generation.Conference on Neural Information Processing Systems (NeurIPS), 2023

Reference 13

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source=pdf_text observed=2026-08-02T14:47:39.265837Z digest=sha256:5c4015797bf2fcd6ef83c417de3b768c5e006cc98fe6326c0a265484d12bdfc5

Observation 3b6a74a3-9c4e-4a4e-9e8b-18ece71fe609 · outbound

This paper cites Large Language Diffusion Models.

Token Time Continuous Diffusion for Language Modeling Large Language Diffusion Models

Reference 14

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source=pdf_text observed=2026-08-02T14:47:39.333808Z digest=sha256:cea69609eb0b4282dbc2cef62b7fe54573da07f1e9d02e4300188dc0857a15c0

Observation 9548d13a-0dab-4d12-9332-c95ef877ae47 · outbound

This paper cites Scalable diffusion models with transformers.

Token Time Continuous Diffusion for Language Modeling Scalable diffusion models with transformers

Reference 15

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source=pdf_text observed=2026-08-02T14:47:39.421723Z digest=sha256:ba51873c5cd7e8b50d1ef7dd3ca334fe9fc4674e67c3a469169564420d60fd93

Observation 69e16102-4800-4698-995f-05c6e48014a2 · outbound

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

Token Time Continuous Diffusion for Language Modeling CANDI: Hybrid Discrete-Continuous Diffusion Models

Reference 16

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source=pdf_text observed=2026-08-02T14:47:39.542467Z digest=sha256:9bf24149df66a0c5a096e2a6878f6769b593c67f38f69ad5dd0e4acbe15bf1e7

Observation 02df65f9-d0a8-4a67-9cf0-238734a52722 · outbound

This paper cites Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184, 2024.

Token Time Continuous Diffusion for Language Modeling Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184, 2024

Reference 17

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source=pdf_text observed=2026-08-02T14:47:39.672400Z digest=sha256:64e5324e87e5f221053c275e862fdf10fcf6c890ec9ecdb90c7e7bc45adc2430

Observation b9f904b0-1677-4f46-a379-50e3454aac8e · outbound

This paper cites The diffusion duality.arXiv preprint arXiv:2506.10892, 2025.

Token Time Continuous Diffusion for Language Modeling The diffusion duality.arXiv preprint arXiv:2506.10892, 2025

Reference 18

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source=pdf_text observed=2026-08-02T14:47:39.782256Z digest=sha256:a756bf3280b89834a1b50366186f593d4bd26c10041b64d6fd9c90df9040c0f5

Observation 3b58565c-bde1-494c-837e-bee57be62950 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Token Time Continuous Diffusion for Language Modeling Progressive Distillation for Fast Sampling of Diffusion Models

Reference 19

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source=pdf_text observed=2026-08-02T14:47:39.923409Z digest=sha256:9e75f3daf641fddd84fdd5a8eb7469edff2debaf319ecebd18a6cce1f0cb8e89

Observation 14a2b733-543b-4355-bdc2-7dca3c00764a · outbound

This paper cites Simple guidance mechanisms for discrete diffusion models.

Token Time Continuous Diffusion for Language Modeling Simple guidance mechanisms for discrete diffusion models

Reference 20

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source=pdf_text observed=2026-08-02T14:47:40.058481Z digest=sha256:2205c178f74904f8d6365fe80d0d05652a54e44bcc4c2ec6a776e4e9bdc0653b

Observation db9b2f19-d0bf-4c9e-bdff-9230f4150388 · outbound

This paper cites Causal language modeling can elicit search and reasoning capabilities on logic puzzles.Advances in Neural Information Processing Systems, 37:56674–56702, 2024.

Token Time Continuous Diffusion for Language Modeling Causal language modeling can elicit search and reasoning capabilities on logic puzzles.Advances in Neural Information Processing Systems, 37:56674–56702, 2024

Reference 21

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source=pdf_text observed=2026-08-02T14:47:40.135081Z digest=sha256:96664af4698a4cf2ba2e5949783a14fbaa189e9623569c9a3bc3a3af006c7464

Observation 81821656-982d-4515-af14-d69314cb33ec · outbound

This paper cites Dirichlet flow matching with applications to dna sequence design.

Token Time Continuous Diffusion for Language Modeling Dirichlet flow matching with applications to dna sequence design

Reference 22

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source=pdf_text observed=2026-08-02T14:47:40.210971Z digest=sha256:8227b10675a1b696d9f565c4a495775ed23466e658112903345366020eedfa43

Observation 587186ff-59ae-4eba-8144-8037a631b6b8 · outbound

This paper cites Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.

Token Time Continuous Diffusion for Language Modeling Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Reference 23

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Observation cb16e73b-3690-4544-9d63-e09f1115cbb1 · outbound

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

Token Time Continuous Diffusion for Language Modeling Dream 7B: Diffusion Large Language Models

Reference 24

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source=pdf_text observed=2026-08-02T14:47:40.443609Z digest=sha256:784d65cd9e627b333ad5c1a7d18b67485887a7cc4df12c133cb7110ec37c4f53

Observation 579b7708-36f3-40bd-84a7-44e69c362255 · outbound

This paper cites DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises.

Token Time Continuous Diffusion for Language Modeling DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

Reference 25

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source=pdf_text observed=2026-08-02T14:47:40.641224Z digest=sha256:243e750b634be3a8f1b47dba719827864ffa17d949eff669523f63a9b8f00413

Observation 2b143ba4-91a3-4ee9-8a06-fdecde4a4a44 · outbound

This paper cites Continuously augmented discrete diffusion model for categorical generative modeling.arXiv preprint arXiv:2510.01329, 2025.

Token Time Continuous Diffusion for Language Modeling Continuously augmented discrete diffusion model for categorical generative modeling.arXiv preprint arXiv:2510.01329, 2025

Reference 26

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source=pdf_text observed=2026-08-02T14:47:40.808175Z digest=sha256:eee12fde29610e65c3b0e7c19444f976382cf0f000f37fafce476218fe686a88

Observation 0a2d653b-4760-4572-9d87-f627738dfb52 · outbound

This paper cites Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Token Time Continuous Diffusion for Language Modeling Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 27

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source=pdf_text observed=2026-08-02T14:47:40.972694Z digest=sha256:c38ae2a7ce6970f3d5e417c5eb98f82b42c6aa5e9de618441e8f1e29e6837fe1

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

This paper cites Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner.

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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Observation 6ffb81c0-ea7e-4fc3-a2f2-664da5f6d518 · outbound

This paper cites • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research.

Token Time Continuous Diffusion for Language Modeling • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research

Reference 29

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