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Paper Citation Record · LEDGER

Discrete Markov Bridge

As of 11 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

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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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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  • verified fuzzy19
  • unresolved31
  • parse uncertain0
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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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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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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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+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:ef57bd2985c1f476820d2d3bc48b89da2a248f6e291bf95cb398f65b82eb2400

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

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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:a804bff2151ec742c391b0f671d6934b1d99f2a38a70b104d51a66dd2379f700

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:b032200818f8fff512a8fe66400458dc54d838ea4c7b8dcf438bf881ee477749

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:ce03f5805223b547b17487eca526c8a1667ce50ee49f7f8134e74814fa868f8c

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:f6706ca6a7b2b0fd6e2ee0e6491201666d0d29bee86723f9fcaf70f600dc011b

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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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=sha256:1ddb29e9de1458e6f6280a045935e5de3bbdfc305c258a9391ec03976c8bc727

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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Observation c04dfa79-d029-4263-b837-fe0a56bf3143 · outbound

This paper cites Zico Kolter.

Discrete Markov Bridge Zico Kolter

Reference 32

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raw_fallback, observed 2026-08-07T14:17:16.271434Z

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

source=pdf_text observed=2026-08-07T14:17:13.229918Z digest=sha256:1bd34e81cb6d0ce48ae3ad5a4d9e33bd9ae74c3dc9b1c1144b305c08de7a57b3

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

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

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

source=pdf_text observed=2026-08-07T14:17:14.044504Z digest=sha256:cf18730d6486260e45d354572a1e6220128ffb54fa57b5c9a4aecfbecc7b2d69

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=sha256:686ac163d869da0bfe3f813c385977815795c365fa111756a94b54eacb51b523

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=pdf_text observed=2026-08-07T14:17:14.142708Z digest=sha256:7d67eb8aab795c31ccabdd10e44dc69d650d2f4f6ceb541ac9147d35208f216c

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=pdf_text observed=2026-08-07T14:17:14.217872Z digest=sha256:412e43c8698965cac734d6957ffd4d7751c26e8cfb34922e58aba7cdd748eed5

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=pdf_text observed=2026-08-07T14:17:14.293280Z digest=sha256:5d85e80c4c18750bc9edfa643e630dd2399b0e5f1ae0c3344cbc2b834cb4bd05

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=sha256:0a89d8122a64a4726cf46e0164e2bcf9ec2857d5fa15b2b999db7b14369c2086

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:fdac60ca99cbc76747d7829bfd17e098be6e34e95483a2a79e726ccf17edafcc

Pith citing papers

No inbound Pith citation observations are available.