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Paper Citation Record · LEDGER

Discrete Markov Bridge

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.19752.

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

pith.paper-citation-record.v1
2505.19752 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:14.293280Z

measured 52 of 52 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.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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  • verified fuzzy19
  • unresolved31
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 984a620d-e4be-4da6-88ec-7ea7817aca62 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Discrete Markov Bridge Score-based generative modeling through stochastic differential equations

Reference 1

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Observation 6c4e1918-28a8-47b7-bcab-3bf994af0e22 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Discrete Markov Bridge Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 2

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source=pdf_text observed=2026-08-07T14:17:11.292112Z digest=sha256:fc005adb4ad5f3015f25d27b7a565454afaf0339bf6fdcf56aa614e53153b1fd

Observation 03c6041d-d2b2-4300-b724-9a61553c8ee8 · outbound

This paper cites A continuous time framework for discrete denoising models, 2022.

Discrete Markov Bridge A continuous time framework for discrete denoising models, 2022

Reference 3

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source=pdf_text observed=2026-08-07T14:17:11.405277Z digest=sha256:f5ccbce8563e243c935fa3b85ee36f76b30a6181d9f56ec2d0a1dbc9d466f00b

Observation 30fc5d1c-cfeb-4ef7-837c-5d5aece19f34 · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.CoRR, 2023.

Discrete Markov Bridge Discrete diffusion modeling by estimating the ratios of the data distribution.CoRR, 2023

Reference 4

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source=pdf_text observed=2026-08-07T14:17:11.454664Z digest=sha256:cca54f7e4a92bab1f08dc58c082b75992b90a3ffcee7761577610072c5f9ba0d

Observation 9c66423e-5249-4183-8c2b-a8dfb0d6ad89 · outbound

This paper cites Auto-encoding variational bayes.International Conference on Learning Representations (ICLR), 2014.

Discrete Markov Bridge Auto-encoding variational bayes.International Conference on Learning Representations (ICLR), 2014

Reference 5

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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.

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Observation ec2da5ca-0c7b-4300-8800-8875dbf23d66 · outbound

This paper cites Neural discrete representation learning,.

Discrete Markov Bridge Neural discrete representation learning,

Reference 6

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source=pdf_text observed=2026-08-07T14:17:11.464272Z digest=sha256:e5172e554bb1ae7ddc99073e305f2a05153acbc7f796f864a8819f92e70dcc03

Observation 28888fe4-034d-4fe5-b13e-7a27f71de82b · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

Discrete Markov Bridge Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 7

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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.

source=pdf_text observed=2026-08-07T14:17:11.512241Z digest=sha256:06bce562c14904001559c1728bbab7a07922603eb5578876d710d60dcc47fab1

Observation e55bc0b1-5cc9-4f73-9468-4d29ac6d1ddc · outbound

This paper cites Concrete Score Matching: Generalized Score Matching for Discrete Data.

Discrete Markov Bridge Concrete Score Matching: Generalized Score Matching for Discrete Data

Reference 8

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source=pdf_text observed=2026-08-07T14:17:11.539037Z digest=sha256:08da6d1d700b1b80c5e715ce90130334d3461fd5b4666e6f964c584df8ed44fe

Observation b103a83a-fcce-4d73-adda-fe9597284133 · outbound

This paper cites Non-autoregressive sequence generation.

Discrete Markov Bridge Non-autoregressive sequence generation

Reference 9

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source=pdf_text observed=2026-08-07T14:17:11.573503Z digest=sha256:dd55b48a7f73e1c9f6dfca0d9f67f2fd4e5ec3d5a7465d2a14ebefa3bbff999a

Observation 8319e021-4698-4a84-b46f-2a0fcf841ca9 · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach.CoRR, 2019.

Discrete Markov Bridge Roberta: A robustly optimized bert pretraining approach.CoRR, 2019

Reference 10

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source=pdf_text observed=2026-08-07T14:17:11.623207Z digest=sha256:a68439d407d4764189dc1619110b1a4e96cbe516dbbdef09731fb3c3eb6e52a1

Observation 807e7acd-e864-45d2-b5e2-aae4d6ada0e1 · outbound

This paper cites Bert: Pre-training of deep bidi- rectional transformers for language understanding.

Discrete Markov Bridge Bert: Pre-training of deep bidi- rectional transformers for language understanding

Reference 11

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source=pdf_text observed=2026-08-07T14:17:11.628049Z digest=sha256:2a1422cb0dc404f6e1538e7802f7e6a73f9b447ee165d05efcfd54de0519a2ab

Observation 707e3a29-3734-4888-b25d-c0c00b53dd2a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Discrete Markov Bridge Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 12

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source=pdf_text observed=2026-08-07T14:17:11.683372Z digest=sha256:d8434cb89170e6ab548274244490b376401ae54eb99f3feec03efe066b2ca0cc

Observation 41b8f902-2c8c-4dc5-a909-77491b1d8bb4 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Discrete Markov Bridge Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 13

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source=pdf_text observed=2026-08-07T14:17:11.708129Z digest=sha256:9ee3fe62d971277b9986348e64900dd45ddc48bce1f557efcc31641fca33f926

Observation a9499e92-cba9-440e-b332-45d5e90bcd4c · outbound

This paper cites Albert: A lite bert for self-supervised learning of language representations, 2020.

Discrete Markov Bridge Albert: A lite bert for self-supervised learning of language representations, 2020

Reference 14

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

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Observation 2775b5c7-3113-4c63-94bb-46d50b688b2d · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Discrete Markov Bridge Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 15

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source=pdf_text observed=2026-08-07T14:17:11.761719Z digest=sha256:f528dde1c5b3c7ce3ab96527a7d39692ae5f86999673241efbe38153c84477c2

Observation 305e42cd-b38a-4430-806a-63917c371591 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Discrete Markov Bridge Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 16

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source=pdf_text observed=2026-08-07T14:17:11.835889Z digest=sha256:ea170f99eda77f6e5e2ae2ac0e306a82c04b6eae107a3ad1fe41b9b83a0f4bc3

Observation c380f3a1-4dab-40dd-9e26-57dbe526f9e4 · outbound

This paper cites Deep residual learning for image recognition, 2015.

Discrete Markov Bridge Deep residual learning for image recognition, 2015

Reference 17

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raw_fallback, observed 2026-08-07T14:17:17.427255Z

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.

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Observation 6e404cb8-983a-4671-b5fc-f046bc57e94b · outbound

This paper cites Denoising diffusion implicit models, 2022.

Discrete Markov Bridge Denoising diffusion implicit models, 2022

Reference 18

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source=pdf_text observed=2026-08-07T14:17:12.004447Z digest=sha256:1718d27ded1820cac5908800af89704a32523c8c98d5ffe79404edaf351fa3ab

Observation ca59db53-ddac-4bca-8be6-25c9d9e67125 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

Discrete Markov Bridge Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 19

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source=pdf_text observed=2026-08-07T14:17:12.135705Z digest=sha256:8856f14e8b4060360e0bf177a8cbaf66a2c0dae87d925db7af5c783383b7f954

Observation 024c0cbd-102c-4f46-be46-5a6c6905f398 · outbound

This paper cites Diffusion-lm improves controllable text generation.Advances in neural information processing systems, 35:4328–4343, 2022.

Discrete Markov Bridge Diffusion-lm improves controllable text generation.Advances in neural information processing systems, 35:4328–4343, 2022

Reference 20

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Observation 676180f1-f400-489d-ada9-37704337d1d8 · outbound

This paper cites Hashimoto.

Discrete Markov Bridge Hashimoto

Reference 21

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Observation ce1ed870-b5f8-4cac-8398-b24847321cd8 · outbound

This paper cites Score-based continuous-time discrete diffusion models, 2023.

Discrete Markov Bridge Score-based continuous-time discrete diffusion models, 2023

Reference 22

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raw_fallback, observed 2026-08-07T14:17:17.204881Z

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

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Observation 7c298ad4-f7f8-4511-aacb-0efe3d90795e · outbound

This paper cites Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, and Jonas Adler.

Discrete Markov Bridge Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, and Jonas Adler

Reference 23

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Observation 39d66d04-2755-43e3-b68b-5e61b2a7a651 · outbound

This paper cites Large language diffusion models, 2025.

Discrete Markov Bridge Large language diffusion models, 2025

Reference 24

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raw_fallback, observed 2026-08-07T14:17:16.749051Z

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.

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Observation 3397a982-44ad-4385-a8b6-a9e2c4050a40 · outbound

This paper cites Variational Diffusion Models.

Discrete Markov Bridge Variational Diffusion Models

Reference 25

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Observation 83a3332d-2e9a-42ae-a652-ad60a67a6af8 · outbound

This paper cites Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Discrete Markov Bridge Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 26

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Observation 9cb65da5-b2b0-4e8a-896a-17c78584e56d · outbound

This paper cites Variational inference with normalizing flows, 2016.

Discrete Markov Bridge Variational inference with normalizing flows, 2016

Reference 27

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Observation 4046703c-7761-4d19-92b0-d851cfebd931 · outbound

This paper cites Kingma and Prafulla Dhariwal.

Discrete Markov Bridge Kingma and Prafulla Dhariwal

Reference 28

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Observation d115dcc9-8389-4261-91c4-1538020834c2 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022.

Discrete Markov Bridge Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022

Reference 29

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Observation eeb529c0-7bcd-4853-9cb0-97c4af47a568 · outbound

This paper cites Fuchs, Ingmar Posner, and Max Welling.

Discrete Markov Bridge Fuchs, Ingmar Posner, and Max Welling

Reference 30

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raw_fallback, observed 2026-08-07T14:17:16.560818Z

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

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Observation a732e125-1030-49d2-84f8-1f5bcd61e2cd · outbound

This paper cites Albergo, Nicholas M.

Discrete Markov Bridge Albergo, Nicholas M

Reference 31

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

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Observation c04dfa79-d029-4263-b837-fe0a56bf3143 · outbound

This paper cites Zico Kolter.

Discrete Markov Bridge Zico Kolter

Reference 32

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

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Observation 638f06a9-1cbc-4696-9326-4297c7a60edf · outbound

This paper cites Generative Adversarial Networks.

Discrete Markov Bridge Generative Adversarial Networks

Reference 33

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Observation 469a9313-f514-44aa-b7b8-6fe0a20a4d32 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions, 2021.

Discrete Markov Bridge Argmax flows and multinomial diffusion: Learning categorical distributions, 2021

Reference 34

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raw_fallback, observed 2026-08-07T14:17:16.077431Z

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

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Observation c07ffb8b-7e56-4e01-a812-c584a18520e1 · outbound

This paper cites Image style transfer based on improved convolutional neural.

Discrete Markov Bridge Image style transfer based on improved convolutional neural

Reference 35

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raw_fallback, observed 2026-08-07T14:17:14.759496Z

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

source=pdf_text observed=2026-08-07T14:17:13.229918Z digest=sha256:ebbcbba5f95845b9083a46c90c1719000267e99f980bdb2e883411082eec3e42

Observation 7956723f-dfc8-45e3-a839-6816f0fdcf00 · outbound

This paper cites Latent Normalizing Flows for Discrete Sequences.

Discrete Markov Bridge Latent Normalizing Flows for Discrete Sequences

Reference 36

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local_arxiv, observed 2026-08-07T14:17:14.534205Z

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

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Observation b2891114-0d7b-49c5-8f1c-6850d8e965fa · outbound

This paper cites Discrete flows: Invertible generative models of discrete data.

Discrete Markov Bridge Discrete flows: Invertible generative models of discrete data

Reference 37

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raw_fallback, observed 2026-08-07T14:17:15.922566Z

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

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Observation 00a2e2f6-3151-4bba-8ce5-9d1a14497600 · outbound

This paper cites Training and Inference on Any-Order Autoregressive Models the Right Way.

Discrete Markov Bridge Training and Inference on Any-Order Autoregressive Models the Right Way

Reference 38

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Observation 4bed6894-c34c-45c2-bbf7-b241b40d3d30 · outbound

This paper cites Bayesian flow networks,.

Discrete Markov Bridge Bayesian flow networks,

Reference 39

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raw_fallback, observed 2026-08-07T14:17:15.734881Z

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.

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Observation 74682962-66fd-4683-8468-78a85216d018 · outbound

This paper cites Denoising diffusion probabilistic models.

Discrete Markov Bridge Denoising diffusion probabilistic models

Reference 40

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no resolver link, observed 2026-08-07T14:17:13.650263Z

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source=pdf_text observed=2026-08-07T14:17:13.650263Z digest=sha256:abf7c82e5abc51e99c7fe528edd109d6ef5fe04be6c043518af3528f302b7e48

Observation 3dc5d892-c263-490e-9e3f-6881aab72dbe · outbound

This paper cites Implicit generation and modeling with energy based models.

Discrete Markov Bridge Implicit generation and modeling with energy based models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:15.548928Z

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.

source=pdf_text observed=2026-08-07T14:17:13.710720Z digest=sha256:c31d05f6079125ca3981d6af03d129c602c9b85f8c534d1b6681833589ef7272

Observation 72b333de-aa19-4062-a9a2-40a412cdd146 · outbound

This paper cites Your classifier is secretly an energy based model and you should treat it like one.

Discrete Markov Bridge Your classifier is secretly an energy based model and you should treat it like one

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T14:17:15.296324Z

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.

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Observation 8701d267-c48d-492e-bba3-16dadf72908a · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Discrete Markov Bridge Large scale GAN training for high fidelity natural image synthesis

Reference 43

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Source-reported events for the cited work

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Observation eaef7edc-3f41-4ab3-9b2f-bcc0cfbc52fc · outbound

This paper cites Training Generative Adversarial Networks with Limited Data.

Discrete Markov Bridge Training Generative Adversarial Networks with Limited Data

Reference 44

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Observation c262f64b-4234-41cb-a89b-bdc780686d23 · outbound

This paper cites Conditional image generation with PixelCNN decoders.

Discrete Markov Bridge Conditional image generation with PixelCNN decoders

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T14:17:15.098930Z

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.

source=pdf_text observed=2026-08-07T14:17:13.983684Z digest=sha256:c25e2a143460fc46935de0923ce92df3055c9bb177ad9dec28ab835bc292a2ca

Observation 1cc0068b-8fbc-4edb-9c49-e30f3260f108 · outbound

This paper cites Autoregressive quantile networks for generative modeling.

Discrete Markov Bridge Autoregressive quantile networks for generative modeling

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-07T14:17:14.958302Z

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.

source=pdf_text observed=2026-08-07T14:17:14.044504Z digest=sha256:62061925c56cb2c34205506853bb9abda1af1df3989952b0a66efc0ab2aada6a

Observation c02105a2-7daf-4276-a002-68eb61063311 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Discrete Markov Bridge Generative modeling by estimating gradients of the data distribution

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:14.085368Z digest=sha256:3db14e07535ae3ffcfc1e85ceb086f99f482ee65da8d6eb0e9a362cc15360d63

Observation f4f711ed-5b69-4dde-920c-9a6e17f9b427 · outbound

This paper cites Spectral normalization for generative adversarial networks.

Discrete Markov Bridge Spectral normalization for generative adversarial networks

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:14.142708Z digest=sha256:a75f4e7838a202e2d0eeef072c3b40a4dcb4abbbea4fe1369f88b45cad6b4300

Observation 6f5df098-990f-47ad-bc98-5ef9cae06809 · outbound

This paper cites Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling.

Discrete Markov Bridge Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:14.217872Z digest=sha256:fa2daedc5cd97c6065539f8751f5a91b8d10f587963931a43335d158ce6aa5d5

Observation 6207ec8b-2696-4fef-8d94-7db899c7d664 · outbound

This paper cites Decoupled Weight Decay Regularization.

Discrete Markov Bridge Decoupled Weight Decay Regularization

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:17:14.293280Z digest=sha256:c0ef7fb5097492c047e3df17ba5e30260bec80cbe71ee50b6d31c4ba618559c8

Observation b04d0b76-f7bf-446b-82ae-80aa4c656131 · outbound

This paper cites Neural Discrete Representation Learning.

Discrete Markov Bridge Neural Discrete Representation Learning

Reference 2018

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source=pdf_text observed=2026-08-07T14:17:11.482229Z digest=sha256:d07f2f770d7c4be1dbff74591969feca4694ef1330fb2710d133ef6316e58c4a

Observation 088c4e74-d84b-4948-bdd1-24d539c2d4fd · outbound

This paper cites Bayesian Flow Networks.

Discrete Markov Bridge Bayesian Flow Networks

Reference 2024

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source=pdf_text observed=2026-08-07T14:17:13.588399Z digest=sha256:15f49058ee639abf3444ca516063db78a9e3a576cdcc8fa45dcdf1769a744810

Pith citing papers

No inbound Pith citation observations are available.