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Paper Citation Record · LEDGER

Discrete Diffusion Models for Language Generation

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:14.668267Z digest=sha256:0a7ecf3601660b8bf4ea12d164ce166aeab6da7a104439e32cbcd144fafc4798

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:40:14.708593Z digest=sha256:6232cd97b7cf3fd3c6e7382b866de7db7eb15d84fb5cb1a300ba939ce5e0f619

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:14.712057Z digest=sha256:ae1cdddac42ff409f8fe4028325ffc64171c9865e68d581afa55b54bd5b8d62f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:14.844067Z digest=sha256:fa508f7d99723616c4388ab12b110df0268836434f976fa7085d13c38f33f541

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:40:14.958556Z digest=sha256:4622daf2889245d79a7978325a543743ffa91bbd183047266206e7cdd20c7000

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:15.085959Z digest=sha256:787eb6c889dbd8e64824fccf1111c1c2128dac86933f0d50b3436f87ec97eec1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:15.220078Z digest=sha256:44f56a8f01a64591130cd02b7862d84ccbd43d0a8172ae1b5fba73cb9a7dc2ba

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:15.357100Z digest=sha256:b3b36a8839526898d9b45b0d856b47256c9500f6af94e2128b6b942ea102a31d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:15.512385Z digest=sha256:9d6529375a44beadcec09b5be37f000d0ae89487b411023ca7e855c22d4ebe05

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.

source=arxiv_source observed=2026-08-06T20:40:15.586673Z digest=sha256:f416ca5601ea74b02eb97133b22a38ba36b4940022b19cf9363df54ce133f3bb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:15.665906Z digest=sha256:80b177847d8f67c339091b238ce0512a40803cc5ae1c39e0ab9bb9e0c3c4f5a2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:40:15.709512Z digest=sha256:897b5c16be7c6227ad1635a483da533e8a461fbeda3140e96d1bbd5b059efbaf

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.

source=arxiv_source observed=2026-08-06T20:40:15.801263Z digest=sha256:31dfc2a9dacc93ccc8765ec378e03c228c44479d475c74bf182c82af359d6e3c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:15.894671Z digest=sha256:948fc9447f84c82afa12d35919b1e6b4a90f52578f924b2fc930041543a9c41a

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.

source=arxiv_source observed=2026-08-06T20:40:15.999387Z digest=sha256:e315aac17062ece0406e1299aaa8a0728f2a8e960e4967a1baa959a90b47c7f3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:16.107743Z digest=sha256:357fff0e39470f7a568348baa4ff138a718ba04123ee1696d3226d89106db27d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:16.231773Z digest=sha256:097bf2a95bc6c9fc183dd4c2f38fe096e247bb94d1a0ebfe5f6d3399f1ddf8cf

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:40:16.370715Z digest=sha256:734866965fcacdd3f0c2d893c67722b9aba7bb5384b4d9d78d45bb4df2c20b30

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.

source=arxiv_source observed=2026-08-06T20:40:16.542893Z digest=sha256:44e27e6516f59a5ba0e8129acd8a2fc8ace7c1ba099e293cf041ed7a1515dc8b

Pith citing papers

No inbound Pith citation observations are available.