Paper Citation Record · LEDGER

Discrete Diffusion Models for Language Generation

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.07050.

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

pith.paper-citation-record.v1
2507.07050 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:16.542893Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

19 of 19 outbound references displayed

verified exact2
verified fuzzy10
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f9698b5-2c6b-4211-8b37-c88e84f3d698 · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

Discrete Diffusion Models for Language Generation Structured denoising diffusion models in discrete state-spaces

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.611333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a6feff3-1a51-41f9-bfcb-d3be1040eefd · outbound

This paper cites A Survey on Prompting Techniques in LLMs.

Discrete Diffusion Models for Language Generation A Survey on Prompting Techniques in LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:14.708593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce4eb66-27c3-4748-b9c6-cbcdfaeda1be · outbound

This paper cites Better Character Language Modeling Through Morphology.

Discrete Diffusion Models for Language Generation Better Character Language Modeling Through Morphology

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:40:17.026246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01d44170-dda4-4d28-8530-e68eb0168c11 · outbound

This paper cites Pixelsnail: An improved autoregressive generative model.

Discrete Diffusion Models for Language Generation Pixelsnail: An improved autoregressive generative model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.451288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2313e17d-c595-41fd-a20e-d44b74b33b3e · outbound

This paper cites What is Wrong with Perplexity for Long-context Language Modeling?.

Discrete Diffusion Models for Language Generation What is Wrong with Perplexity for Long-context Language Modeling?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:14.958556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913bf053-fc2b-4313-a0b0-0ebbbc97201e · outbound

This paper cites Tokenization.

Discrete Diffusion Models for Language Generation Tokenization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.306143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81042e1d-c918-4f57-8cd5-138f10f92159 · outbound

This paper cites Towards tokenization evaluation.

Discrete Diffusion Models for Language Generation Towards tokenization evaluation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.122089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e296281-5dbc-4921-a388-5c6e3e97914d · outbound

This paper cites Symbolic word clustering for medium-size corpora.

Discrete Diffusion Models for Language Generation Symbolic word clustering for medium-size corpora

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.939447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a0565da-494a-4d33-bca4-825eda32c7c6 · outbound

This paper cites Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives.

Discrete Diffusion Models for Language Generation Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:40:16.808044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7712b52-8ed0-4f89-84ef-65b0f0097fde · outbound

This paper cites Denoising diffusion probabilistic models.

Discrete Diffusion Models for Language Generation Denoising diffusion probabilistic models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.586673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 784b5583-5fda-4eaa-a593-d2fdcec0cbf9 · outbound

This paper cites Perplexity—a measure of the difficulty of speech recognition tasks.

Discrete Diffusion Models for Language Generation Perplexity—a measure of the difficulty of speech recognition tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.646192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2fb9456-7366-424c-b15a-85ee72c20059 · outbound

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

Discrete Diffusion Models for Language Generation Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.709512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10694754-3c99-41c6-b911-bc3333cdfc21 · outbound

This paper cites Pointer sentinel mixture models, 2016.

Discrete Diffusion Models for Language Generation Pointer sentinel mixture models, 2016

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.801263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83109dfd-3cac-44c3-92a6-121ce7312d6c · outbound

This paper cites Medt: Using multimodal encoding-decoding network as in transformer for multimodal sentiment analysis.

Discrete Diffusion Models for Language Generation Medt: Using multimodal encoding-decoding network as in transformer for multimodal sentiment analysis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.321695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 424668e7-2533-4d82-932e-7bcb73032617 · outbound

This paper cites Fast Generation for Convolutional Autoregressive Models.

Discrete Diffusion Models for Language Generation Fast Generation for Convolutional Autoregressive Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.999387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1daa0d-a929-4539-9dd9-e18bad6dfcd6 · outbound

This paper cites Simple and effective masked diffusion language models.

Discrete Diffusion Models for Language Generation Simple and effective masked diffusion language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.022259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cff98cdc-e57f-4ed7-9e95-f9aae1859154 · outbound

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

Discrete Diffusion Models for Language Generation Simplified and generalized masked diffusion for discrete data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:17.615458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fc99b8c-52a7-413c-9d0e-3e587396e6b8 · outbound

This paper cites Attention is all you need.

Discrete Diffusion Models for Language Generation Attention is all you need

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:17.213433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5733989-2b94-4abc-b44a-80c0534065e8 · outbound

This paper cites MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts.

Discrete Diffusion Models for Language Generation MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:16.542893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.