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Paper Citation Record · LEDGER

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 52 inbound Pith citation observations for arXiv:2208.04202.

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

pith.paper-citation-record.v1
2208.04202 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 52 of 52 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:51:01.432420Z

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

0 of 0 outbound references displayed

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External citation measurements

81
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4d9efefd-c65a-4b78-936b-063e063e018d · inbound

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models cites this paper.

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 1

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arxiv_id, observed 2026-05-20T06:50:38.286324Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T06:50:38.258692Z digest=sha256:d5aa642f8a7d6b6790c3ea8579bcf2e8b3ca10e6dc570a9d632c930e1f9f1c16

Observation 275bf520-d88b-4b78-97d2-be77dc0e2150 · inbound

Continuous diffusion for categorical data cites this paper.

Continuous diffusion for categorical data Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 11

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arxiv_id, observed 2026-05-18T03:30:22.141666Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T03:30:22.025578Z digest=sha256:a991b28dbf14750b15a74ef0f06ab7a41e093d5946c0d59be68820c12f84fb2a

Observation e05b2d76-9360-4da1-9578-745506e24951 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 75

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arxiv_id, observed 2026-05-16T08:12:31.388876Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:5a99e7fc18c019ac952595885d19dc688db9e978186f750dd141dfb7367743bb

Observation 4cc56589-a6fe-4994-867c-175570242cef · inbound

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

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 1

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arxiv_id, observed 2026-05-13T02:59:23.870157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T02:59:23.837269Z digest=sha256:0ffa474d0f489644abb3cb9bf2b4ccccd438a0d4d3a17db1710b81199bfc18af

Observation c1ee6285-147a-4f49-84da-611dec9aaf1c · inbound

HouseTune: Two-Stage Floorplan Generation with LLM Assistance cites this paper.

HouseTune: Two-Stage Floorplan Generation with LLM Assistance Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:51:01.432420Z digest=sha256:657536d3c1986ec18f069edb48d7b63c8b92667dcb4741d07820f6cde3791582

Observation ccef0c1a-a0f9-49c8-ab34-d512a345abe4 · inbound

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model cites this paper.

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 7

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source=pdf_text observed=2026-08-12T12:24:55.219635Z digest=sha256:2f1c013b83e007e0ad3619de19e5de0c34cded8cf7de3185e023f1ba8a3037e4

Observation 2bb28a40-ae9a-4eb5-93b1-5c7126b9263f · inbound

Panoptic Diffusion Models: co-generation of images and segmentation maps cites this paper.

Panoptic Diffusion Models: co-generation of images and segmentation maps Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 10

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source=arxiv_source observed=2026-08-11T23:02:16.120211Z digest=sha256:32969d93ba5c2eee0f83f0e736d2ba51bc4b1e67e68b5b9e20dafa125a64dc0f

Observation 4d548e13-3cf5-4307-aa7d-a1ed5689ff5b · inbound

Factorized Video Autoencoders for Efficient Generative Modelling cites this paper.

Factorized Video Autoencoders for Efficient Generative Modelling Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 8

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source=pdf_text observed=2026-08-11T21:30:03.640968Z digest=sha256:70fe1a4297868dc7b0bd4c25cf5c8052908b3a5fb90983162ecde7d7a03c1e4d

Observation 01636d89-6222-4275-844b-968f3e177d34 · inbound

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks cites this paper.

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 63

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source=pdf_text observed=2026-08-11T18:06:11.483467Z digest=sha256:d27093b8a2674d458c3fa162bab6fcd21c97092d671a93edae9e1ee247a1f7eb

Observation 2f56a1d2-0998-4c99-9fb4-a4bf73db0424 · inbound

Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution cites this paper.

Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 13

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source=pdf_text observed=2026-08-11T11:38:24.400914Z digest=sha256:28a3d17fe8b4b0329fc402891e95cea0077ca8fd5b3f9f78e31afd8439dce0a7

Observation 7203fae7-e095-4923-9c80-a057ab80e1cd · inbound

Dual Diffusion for Unified Image Generation and Understanding cites this paper.

Dual Diffusion for Unified Image Generation and Understanding Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 12

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source=pdf_text observed=2026-08-10T23:02:07.591748Z digest=sha256:f2d63fd34983b9f7fbfdabb64e02bd42ff04e261ee6f64a17d7045a47611082d

Observation 0706661f-e94e-4081-b000-0bc171da4569 · inbound

Large Language Models to Diffusion Finetuning cites this paper.

Large Language Models to Diffusion Finetuning Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 2018

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:55.464466Z digest=sha256:50fb55e950f77ea23b6d347133e8119c279d8421959ebae7d1fe86676e966858

Observation 1fde2634-03fa-48db-a9c3-a763dbb9345b · inbound

Efficient Diffusion Models: A Survey cites this paper.

Efficient Diffusion Models: A Survey Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 2018

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no resolver link, observed 2026-08-09T16:13:35.767609Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:13:35.767609Z digest=sha256:e2728b33bba3b1348dba9b4c72f0cb7640aadc545d075cf0b6b6e767ae3abdfd

Observation 626451f0-b75b-447e-ab29-2be2722aec21 · inbound

Theoretical Benefit and Limitation of Diffusion Language Model cites this paper.

Theoretical Benefit and Limitation of Diffusion Language Model Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 11

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source=arxiv_source observed=2026-08-07T20:56:22.739266Z digest=sha256:10908976e9bfdb193a9738912d7626ef30708fb32c93012dd2cfb97122b9408f

Observation 0f74e20c-a10a-4793-86b0-2e8a4632ff79 · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 46

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arxiv_id, observed 2026-05-11T01:42:55.193501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:3714d8de037c2f5a8862bcfe93f992133571fd8cecde6f177c90f4e191b4c75d

Observation 1234a14f-1c07-489c-9fe8-d74f0af1f105 · inbound

Learning Genomic Structure from $k$-mers cites this paper.

Learning Genomic Structure from $k$-mers Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 19

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no resolver link, observed 2026-08-07T15:00:49.575504Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:49.575504Z digest=sha256:6ef59f2e30fb3cd047f0fedd476b9e8ac443e210bde41721ed1fc3e4b6e2eda4

Observation 826ada18-bbca-486e-abb0-90a06845a8e1 · inbound

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 89

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arxiv_id, observed 2026-05-17T03:46:06.312461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 08f27d32-77cd-48c5-a5f4-41694f585fd7 · inbound

Applications of Modular Co-Design for De Novo 3D Molecule Generation cites this paper.

Applications of Modular Co-Design for De Novo 3D Molecule Generation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:00.148687Z digest=sha256:b2c1e79663119fbf2e0ccbc943a7f065db8e42936811379a7297c39a729e7bd4

Observation f67d8e02-5f2f-4421-b3d8-f1da4c42f35f · inbound

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly cites this paper.

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 3

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source=arxiv_source observed=2026-08-07T13:26:22.495580Z digest=sha256:b55046fe789c2484ed54d74cb9f584256c00f03b1d024b427c67724bc5541cbc

Observation 894480e6-58d3-4343-abf7-f22f00fc0640 · inbound

TrajFlow: Multi-modal Motion Prediction via Flow Matching cites this paper.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 47

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.769719Z digest=sha256:0e1d5c6977e2e72f25df728909b921b5e2e8737db987498709bd02921fd54b12

Observation 71dbcc7d-98ba-4a84-ab08-013cdf62394e · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:48:39.299295Z digest=sha256:de21886298588eac5355d8253cf5763baa6c439b030a1b4c3724f19933d78090

Observation f5bb0fb7-9040-432b-a5e2-5a0633b079f1 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:23.025747Z digest=sha256:3754fbd2ee5513eaa463b9193fe19dcb431c0083ab165e635d2421f09902fabe

Observation b0fa07ab-34ea-4f8c-9c14-c19f0cbf81bc · inbound

The Philosophy and Physics of Duality cites this paper.

The Philosophy and Physics of Duality Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:32:07.423687Z digest=sha256:868b6fa67d15b735bb653b5ad303c97da3d13282e7195f03bd6d11af814404ee

Observation 0a2f1641-0347-45f8-ad61-af1924a68ba4 · inbound

SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion cites this paper.

SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:43:42.404439Z digest=sha256:2d0dce065ce0cdfaba1f3ca75e8452e6b93cbf41e558ab230b0220a7ee7e8523

Observation d000b2f0-3e47-4c7b-bc31-a64b339ac0cb · inbound

LLaDA-VLA: Vision Language Diffusion Action Models cites this paper.

LLaDA-VLA: Vision Language Diffusion Action Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 8

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source=pdf_text observed=2026-08-04T22:55:29.831085Z digest=sha256:6fc7342f97334ccb1646b8af838f1060a0a191803538986199ad0d627af8b907

Observation ff3fae01-91d5-48b5-bb51-d7b75d33a7d5 · inbound

Inpainting-Guided Policy Optimization for Diffusion Large Language Models cites this paper.

Inpainting-Guided Policy Optimization for Diffusion Large Language Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 11

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source=arxiv_source observed=2026-08-04T17:57:46.949498Z digest=sha256:90b4155a850fa19f60bc431eb4cb521fb2f414929762baa822cfcf576cdf5a63

Observation 29a287a3-f63b-4ccc-a1ca-5a5551d04db2 · inbound

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

CANDI: Hybrid Discrete-Continuous Diffusion Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:09:17.423679Z digest=sha256:6c21d807118956732e2f92bbfdc69c709935a4c57c5df0fce2511a07764d9f49

Observation 87231de0-7fae-44ac-a936-de7cb778ff45 · inbound

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 13

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source=pdf_text observed=2026-08-03T15:46:06.476387Z digest=sha256:c678abebc610a191723062faca217cc65ec2b46faa79ae2531ae582adce4af49

Observation 56a78ade-ea5e-4f3d-910c-f63fc6d310b2 · inbound

Protein Autoregressive Modeling via Multiscale Structure Generation cites this paper.

Protein Autoregressive Modeling via Multiscale Structure Generation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 9

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arxiv_id, observed 2026-05-21T13:24:11.284361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T13:21:53.668727Z digest=sha256:fec2b5d9c487e2e87b7df1f3e913dc003d2b12f2f82758d5a700a9835aef5295

Observation f6b759b9-c42e-433e-9c00-acdf3e212cee · inbound

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

Flow Map Language Models: One-step Language Modeling via Continuous Denoising Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 38

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arxiv_id, observed 2026-05-15T21:10:19.210172Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T21:01:42.916835Z digest=sha256:15ac64d0aa86f440d5c698a6f07d9e1467e73410ad52af4dad42ff6ad8d28a0a

Observation 10ed26c8-0c81-4146-aa79-1a981a207ce6 · inbound

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

Flow Map Language Models: One-step Language Modeling via Continuous Denoising Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 38

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arxiv_id, observed 2026-05-21T12:24:10.592170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T12:23:49.031978Z digest=sha256:136fe1a632fb54b3c8ddd78d75ea23f93c2c45a5f3e525994982b10d1995432a

Observation 8447635e-cde6-4c44-baf8-70e5f7a3f626 · inbound

Gumbel Distillation for Parallel Text Generation cites this paper.

Gumbel Distillation for Parallel Text Generation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T17:49:49.320322Z digest=sha256:fcf4592e99d5cf7cebfa94e8c155dfce63839a2d7cf6677a1d24e9a9755b21cf

Observation df0c4b38-2ced-4a63-b0a6-3dfa393a130f · inbound

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling cites this paper.

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 4

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arxiv_id, observed 2026-05-11T08:50:59.518122Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:26:53.241071Z digest=sha256:d4747953c88bfca2bbf9044e9ee3551019acd7398182efb739097c9782794bc9

Observation 0366da38-5726-4ea7-b703-b8adcf55016e · inbound

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training cites this paper.

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 201

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arxiv_id, observed 2026-05-11T12:46:03.894954Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T03:04:54.146481Z digest=sha256:fc579a976c833a67160bb136669878694786487ae1338abeb3a9834075751136

Observation b894e5b5-e5e6-4279-a827-5ce0bc51ffc2 · inbound

$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction cites this paper.

$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 3

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arxiv_id, observed 2026-05-11T12:46:25.492440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T02:56:32.367404Z digest=sha256:e115f22f0b6414e11c5f4a5d60ca4f64a7f4a30ee0c1456f5e4f03dc67f98801

Observation d7f9282e-d4d0-40ce-8b0e-45634b4f3935 · inbound

Simple Self-Conditioning Adaptation for Masked Diffusion Models cites this paper.

Simple Self-Conditioning Adaptation for Masked Diffusion Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:33.506227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T16:38:22.306140Z digest=sha256:e0d91076aa94071ac3bfd4a77c9319617dcdb331541af114feebaa5161cad41a

Observation d169ac96-4801-4859-b905-17da94772aa2 · inbound

Coupling Models for One-Step Discrete Generation cites this paper.

Coupling Models for One-Step Discrete Generation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:00:55.037893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:58:10.909499Z digest=sha256:9e483f78f72754e99bbc3f45d0fb8d5d693175c87e6cc7a41f27c813f8eae62f

Observation a6f7751b-7a81-46ff-8f8e-b794203483a4 · inbound

BitLM: Unlocking Multi-Token Language Generation with Bitwise Continuous Diffusion cites this paper.

BitLM: Unlocking Multi-Token Language Generation with Bitwise Continuous Diffusion Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:05.326607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T01:54:23.273159Z digest=sha256:632006e38be53c9dac56c9060b5d52d8b5b616c34d22ad60954aa623856251ca

Observation 52880562-8001-4b16-a0ac-55fe3b9a1aeb · inbound

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention cites this paper.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:53:04.641918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T05:52:14.089334Z digest=sha256:5fe4164f9f1671094af8306bee42e7729d6ea36ad262df129b7f1146472885f4

Observation ad738634-47ed-40c5-bb17-eaa30fb77b53 · inbound

BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference cites this paper.

BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:43:15.918439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T08:34:28.624577Z digest=sha256:8e7755e43d42fe1bb2ce8c182f1679c526b9db0514d127e2ba9d579413c6103c

Observation 40db3e8f-c4e9-4176-b485-96109f14b143 · inbound

Variational Learning for Insertion-based Generation cites this paper.

Variational Learning for Insertion-based Generation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:26:17.757727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T15:23:32.821620Z digest=sha256:ec11003498916640a9c6b47c1ac7523d3b32cef22351e0049f75274160f5f510

Observation 412f5a60-2fef-4489-9304-0db36894b833 · inbound

Property-Informed Diffusion-Based Text-to-Microstructure Generation cites this paper.

Property-Informed Diffusion-Based Text-to-Microstructure Generation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:25.133229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T19:48:27.318590Z digest=sha256:573179e1cb4388a866bb653d6c61d02189b79a5c8cef307de61aebb780f90f85

Observation 6204e9d3-684d-4c1c-b0f9-8b16a90f8abe · inbound

FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows cites this paper.

FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:19:30.004069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T18:17:25.479543Z digest=sha256:cf99c253849e8639d853c7560e96e3ab2ac30e44bd4af730f6defe644b3ad345

Observation 83133e6f-d6ef-4f69-87a4-222e6cc6bf80 · inbound

Neural Architecture Distributions: A New Paradigm for Stochastic Segmentation cites this paper.

Neural Architecture Distributions: A New Paradigm for Stochastic Segmentation Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:59:38.353919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T14:56:52.316735Z digest=sha256:ee360f9fc405ed3e3b9cb8ce4a70b4e804ce00c9b90c9f0b2d9c007379743794

Observation f7c5e9a6-9437-4450-a707-8c3d40b85988 · inbound

Modular Diffusion Models for Structured Visual Recognition cites this paper.

Modular Diffusion Models for Structured Visual Recognition Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:09:43.116042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T10:29:04.711627Z digest=sha256:c5919cf0e780b14894fba7b0a4a98b9e0d0098ac1b5b5657a69f586b55ff3ac3

Observation 0810526b-92e4-4f41-8266-134504019441 · inbound

Masked Language Flow Models cites this paper.

Masked Language Flow Models Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:06:02.664543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T01:17:56.122002Z digest=sha256:251ddb681e408f9a7b928e0569279000ed31ab9189a9a79a146b2dbca46d310c

Observation 50910bb2-1866-49a9-bc9c-98a5df05dc81 · inbound

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement cites this paper.

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:04:28.463260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T07:55:28.254309Z digest=sha256:e5ba5d17160de910dc935e4e2009f3f6326085cbca9ae5cf876ca01d04a9aa8d

Observation 29aedbae-512d-4782-8138-bdeb81e720ba · inbound

Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs cites this paper.

Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:58.650265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-02T13:17:01.144370Z digest=sha256:bbfd818f0d8f00c4a78dde6bde5c538dfa3faf385c46ed114b64b2ac9444e196

Observation e5696531-b9ad-497e-82f8-c796d190024f · inbound

Self-conditioned Flow Map Language Models via Fixed-point Flows cites this paper.

Self-conditioned Flow Map Language Models via Fixed-point Flows Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:58.542798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-02T13:01:21.252611Z digest=sha256:4a2bf469a1d330a0c42af247b2c2fbbcba88bd357e897f4a7a4cf43b792caab1

Observation 6ddd1c37-fdec-48d3-9f2b-59d7cf6cc01b · inbound

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding cites this paper.

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.585386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-03T17:30:39.458521Z digest=sha256:ce00d8421ae44f5caaed6e39041e9c95f3757465e3951134726cbfb1640680e0

Observation 300f6da9-df23-436e-b842-0e851817e251 · inbound

Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery cites this paper.

Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T22:56:37.659585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-09T22:53:25.139723Z digest=sha256:dda36668c85788f89602e5b88a5849f068ed0e2a56e157367efa367ead16a623

Observation b4c5b4e5-c694-4aa0-9e09-508f322afe8f · inbound

Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution cites this paper.

Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T22:57:59.754749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:57:59.754749Z digest=sha256:7d081eaf89ccc4b23602407849a43cf939e86ade3538150cf76b700e53acc736