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Paper Citation Record · LEDGER

TextLDM: Language Modeling with Continuous Latent Diffusion

As of 5 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2605.07748.

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

pith.paper-citation-record.v1
2605.07748 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:16:34.725872Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:25:17.754880Z

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

23 of 23 outbound references displayed

  • verified exact17
  • verified fuzzy5
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 07fef04e-ba4f-43e6-9c23-0197e0f18c29 · outbound

This paper cites Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.

TextLDM: Language Modeling with Continuous Latent Diffusion Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:59:41.530185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:ed0185e368747e53af2db98380af099c52e7bb5f111c11446fb5169e19c55747

Observation 82f20db7-0b78-4c89-9f75-4a69455fffad · outbound

This paper cites One billion word benchmark for measuring progress in statistical language modeling.

TextLDM: Language Modeling with Continuous Latent Diffusion One billion word benchmark for measuring progress in statistical language modeling

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T13:30:55.589040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:e532765f08a6bf4287ef6832b366b5c6fb8d706872b91eda828353b60bff11bb

Observation 9a09fdcc-5279-49a7-9a8a-260ac280eb1f · outbound

This paper cites Continuous diffusion for categorical data.

TextLDM: Language Modeling with Continuous Latent Diffusion Continuous diffusion for categorical data

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:22.553521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:38c96d42da5ca331a3654459dacc656dbb5c7228e4c73e183a8a8108569708fe

Observation 2ab6ed19-d27d-41ec-adc7-bda6070e3f2b · outbound

This paper cites TinyStories: How Small Can Language Models Be and Still Speak Coherent English?.

TextLDM: Language Modeling with Continuous Latent Diffusion TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:36:55.300854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:967f3c09320da06e642b8c0abdbe31af326d73f5b86b1d3e33ba5f4dc5da81fe

Observation 31743547-265b-4184-a3be-89513e821fca · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

TextLDM: Language Modeling with Continuous Latent Diffusion The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.104088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:510b31fe439b08944c4f6c7cf979c74b7e353ae4ea4daa84d6b3ab8e9f70ba82

Observation 8c671148-85c6-49ce-8966-47a04d93365e · outbound

This paper cites Classifier-Free Diffusion Guidance.

TextLDM: Language Modeling with Continuous Latent Diffusion Classifier-Free Diffusion Guidance

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.180164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:786846435a74987518f5f0121dcc8e72cf8599bb923d2a1b8ef9928ef86caeb5

Observation 809c4ea9-e59b-42e7-818b-51877a96367e · outbound

This paper cites Auto-Encoding Variational Bayes.

TextLDM: Language Modeling with Continuous Latent Diffusion Auto-Encoding Variational Bayes

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.162603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:f2e64d066f5a3b73fd6c8cabf07a67cd16becf36b6b78a1f31983452d9d86c81

Observation cde88fe8-7e2b-411c-a7bc-02f1da96eb85 · outbound

This paper cites Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.

TextLDM: Language Modeling with Continuous Latent Diffusion Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:54.049894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:5607c5836a1b7a5e20072724fda4291c604164c32c563071037937ce37aaf286

Observation 43c29621-dd22-4651-88cc-fcdc0eb245cb · outbound

This paper cites Flow Matching for Generative Modeling.

TextLDM: Language Modeling with Continuous Latent Diffusion Flow Matching for Generative Modeling

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.132035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:40cb89b3974f645779293038168016fb9af3f2c900c423b5a1d6fedb999ca559

Observation 034f9ba5-083c-432f-86b3-2d71315ba6d2 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

TextLDM: Language Modeling with Continuous Latent Diffusion Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.118354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:342126097b450a72766cff2c7dd43d623b2e3897d29c887bddf13586b64121e6

Observation b0481072-dd11-4a26-9164-6ddfc15780f9 · outbound

This paper cites Large Language Diffusion Models.

TextLDM: Language Modeling with Continuous Latent Diffusion Large Language Diffusion Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.141000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:4430ff2dec552144a71d3d450099868562895bc062cdf14ce8ac0c585eedffc0

Observation 9f4e33a7-2077-457d-ab65-6babe5f8bd51 · outbound

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

TextLDM: Language Modeling with Continuous Latent Diffusion Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 12

Resolution
verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:fcdf64c6096de975f72234ce4d06da8f16b108d72b5cd9d2419c731ca879f1ae

Observation e993d6f3-bc20-4168-9202-ac0c50a1837d · outbound

This paper cites Continuous autoregressive language models.

TextLDM: Language Modeling with Continuous Latent Diffusion Continuous autoregressive language models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:54.172169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:1687c8c2ecc62607fcf086823c52d86a9df4cd61b40e1fa8789913b979d1c091

Observation f6afcacb-f774-4637-9883-63fb0eab2ccb · outbound

This paper cites Denoising Diffusion Implicit Models.

TextLDM: Language Modeling with Continuous Latent Diffusion Denoising Diffusion Implicit Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.124362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:dc4cca7ca90c586a1333cd85e9e7060aeeb55b728f9c61f4e5ccad44d8ce35f5

Observation b5c0ecfe-444d-454d-88e6-08fbe075e609 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

TextLDM: Language Modeling with Continuous Latent Diffusion Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:03:28.218044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:564a291fb66e452350c192cf01cb520c5847999821e2a6f0c750b70af47c3296

Observation 73f8026c-6937-442c-be0d-e1ffcca01951 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

TextLDM: Language Modeling with Continuous Latent Diffusion Wan: Open and Advanced Large-Scale Video Generative Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.021823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:4b6ff9cdb45c420251e5cdc02fc3f5be2b09a1d3e8907157f930cf4c61e9236b

Observation 84f96f1a-bb24-4ae1-a081-f8345b5f4f60 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

TextLDM: Language Modeling with Continuous Latent Diffusion Emu3: Next-Token Prediction is All You Need

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:09.993852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:e9f077d0fc99ab8c7aaf048e1fd749465da18974b22bfb9bf2f64c3deb48f042

Observation 359394fb-2c96-42f2-b235-3fb9499b9c79 · outbound

This paper cites Qwen3 Technical Report.

TextLDM: Language Modeling with Continuous Latent Diffusion Qwen3 Technical Report

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-11T03:50:54.007547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:a6932647687818b53dca5097b7126c7e067fe0e68f1f5b5a94c3e8d3cbbe00f3

Observation f07bbcb6-3f89-43e6-a38b-6140e9d14829 · outbound

This paper cites In being supported by only bass.

TextLDM: Language Modeling with Continuous Latent Diffusion In being supported by only bass

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T13:30:55.585620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:88c05f44412c2c75e9c2772417b87032d3b1062692c4de9db01e1c1db660e0c9

Observation 57df19e3-b920-4f57-aba9-adb04a5813b2 · outbound

This paper cites an unresolved cited work.

TextLDM: Language Modeling with Continuous Latent Diffusion Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-14T13:30:55.582264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:4ee1a5ad2392f2c5adae6700bd60d782d6c79e4c99a5250462fe00aa8f591b96

Observation 12593dd3-ddd5-4c82-b3ac-b6a377fc73bf · outbound

This paper cites He returned to history, College of Philosophy, the University of History, and later returned to Harvard University, where he earned his.D.

TextLDM: Language Modeling with Continuous Latent Diffusion He returned to history, College of Philosophy, the University of History, and later returned to Harvard University, where he earned his.D

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T13:30:55.580714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:96ad03654a075d4a5ec7e706a95893c4d644f9b80c6a603374e0e4e49e1e40fa

Observation 221e508b-0c2d-4356-9185-ff32af385a2d · outbound

This paper cites Roeder was elected from the College of William and Mary in1982.

TextLDM: Language Modeling with Continuous Latent Diffusion Roeder was elected from the College of William and Mary in1982

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T13:30:55.584041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:73ed053ff558acc0aa1ebd3ea6fe01f214db89e0bbc22a8d915c3659d1bacd05

Observation 29ec3e6c-d9c1-4d07-8619-64df462cdf9a · outbound

This paper cites Roeder was elected from the University of Chicago, in 1982 with a teaching fellowship in history from Harvard University.

TextLDM: Language Modeling with Continuous Latent Diffusion Roeder was elected from the University of Chicago, in 1982 with a teaching fellowship in history from Harvard University

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T13:30:55.587385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T02:16:34.725872Z digest=sha256:f25ee795f3bfed45f32243719fc0af727561c620e215ec4dc272b0a366699ad3

Pith citing papers

Observation b51f3ec3-b239-4c63-8b1e-c139a9602f76 · inbound

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

Continuous Language Diffusion as a Decoder-Interface Problem TextLDM: Language Modeling with Continuous Latent Diffusion

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-06-27T18:31:07.747047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T18:27:10.422343Z digest=sha256:06ab379ac3a51e77083807ed6c75a178b9d289482f038ee471d027749d9d1d52

Observation dc7ef2a2-a21c-48ae-98fa-1cf36fcd4963 · inbound

AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling cites this paper.

AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling TextLDM: Language Modeling with Continuous Latent Diffusion

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T03:25:17.754880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:25:17.754880Z digest=sha256:f8ca17bb4928d2b54923a7bf57185978732691af8ad0586e04d0bbdd5714f098