Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T14:47:41.276459Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T14:47:41.276459Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
29 of 29 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aaa2f888-e44b-4439-a73a-fcc088565e3c · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8dbd241-4883-4f46-a343-9671ca6134f8 · outbound
Token Time Continuous Diffusion for Language Modeling Dirichlet diffusion score model for biological sequence generation
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63c70b89-ec62-4762-96c3-ac3cb5792139 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79e48127-74f6-4ef4-918b-480e6977318c · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6355e10-8ae7-4727-97d0-b4c567ceafcf · outbound
Token Time Continuous Diffusion for Language Modeling Continuous diffusion for categorical data
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25522045-961f-44a3-84b2-5955f3396938 · outbound
Token Time Continuous Diffusion for Language Modeling One Step Diffusion via Shortcut Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab5253a6-fb51-440b-b367-ab961292d3ff · outbound
Token Time Continuous Diffusion for Language Modeling Likelihood-based diffusion language models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63d433c6-5b51-4f1a-b308-a43edd48f639 · outbound
Token Time Continuous Diffusion for Language Modeling Continuous diffusion model for language modeling
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adf67ca4-000e-483b-bee8-d0b37172eda4 · outbound
Token Time Continuous Diffusion for Language Modeling Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96b7d668-0edf-4f03-9454-9b2754b9f3b8 · outbound
Token Time Continuous Diffusion for Language Modeling Flow Map Language Models: One-step Language Modeling via Continuous Denoising
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d00975e-ea92-4cbd-a6de-1d2efcc28514 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc56f6c2-907d-46bc-83e9-d518181c1406 · outbound
Token Time Continuous Diffusion for Language Modeling Stop-think-autoregress: Language modeling with latent diffusion planning.arXiv preprint arXiv:2602.20528, 2026
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 282c77ed-8c41-4af7-9c19-532cf4e6caa3 · outbound
Token Time Continuous Diffusion for Language Modeling Latent diffusion for language generation.Conference on Neural Information Processing Systems (NeurIPS), 2023
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b6a74a3-9c4e-4a4e-9e8b-18ece71fe609 · outbound
Token Time Continuous Diffusion for Language Modeling Large Language Diffusion Models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9548d13a-0dab-4d12-9332-c95ef877ae47 · outbound
Token Time Continuous Diffusion for Language Modeling Scalable diffusion models with transformers
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69e16102-4800-4698-995f-05c6e48014a2 · outbound
Token Time Continuous Diffusion for Language Modeling CANDI: Hybrid Discrete-Continuous Diffusion Models
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02df65f9-d0a8-4a67-9cf0-238734a52722 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9f904b0-1677-4f46-a379-50e3454aac8e · outbound
Token Time Continuous Diffusion for Language Modeling The diffusion duality.arXiv preprint arXiv:2506.10892, 2025
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b58565c-bde1-494c-837e-bee57be62950 · outbound
Token Time Continuous Diffusion for Language Modeling Progressive Distillation for Fast Sampling of Diffusion Models
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14a2b733-543b-4355-bdc2-7dca3c00764a · outbound
Token Time Continuous Diffusion for Language Modeling Simple guidance mechanisms for discrete diffusion models
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db9b2f19-d0bf-4c9e-bdff-9230f4150388 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81821656-982d-4515-af14-d69314cb33ec · outbound
Token Time Continuous Diffusion for Language Modeling Dirichlet flow matching with applications to dna sequence design
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 587186ff-59ae-4eba-8144-8037a631b6b8 · outbound
Token Time Continuous Diffusion for Language Modeling Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb16e73b-3690-4544-9d63-e09f1115cbb1 · outbound
Token Time Continuous Diffusion for Language Modeling Dream 7B: Diffusion Large Language Models
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 579b7708-36f3-40bd-84a7-44e69c362255 · outbound
Token Time Continuous Diffusion for Language Modeling DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b143ba4-91a3-4ee9-8a06-fdecde4a4a44 · outbound
Token Time Continuous Diffusion for Language Modeling Continuously augmented discrete diffusion model for categorical generative modeling.arXiv preprint arXiv:2510.01329, 2025
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a2d653b-4760-4572-9d87-f627738dfb52 · outbound
Token Time Continuous Diffusion for Language Modeling Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b430f77-ea5c-4f77-85c8-fd0059bb85fa · outbound
Token Time Continuous Diffusion for Language Modeling Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ffb81c0-ea7e-4fc3-a2f2-664da5f6d518 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.