Pith. sign in

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 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.208996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:11.208996Z digest=sha256:d7c458d9ffeb7ca8e77fe92877a9eb672a383acdd5026194e68d8f8dfac41425

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.292112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.405277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:18.340466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:11.454664Z digest=sha256:41c7c9291b165a64af2cf5d3e2d8b0a1a654a3bc23c87ae251a2c78f0ee0b3fd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:18.107680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:11.459227Z digest=sha256:7e3cedfc98f4adfc836b5147fff35f9bfaf254fa574bdcc89c53cb7dd8ab4491

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

This paper cites Neural discrete representation learning,.

Discrete Markov Bridge Neural discrete representation learning,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.464272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:17.947239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:11.512241Z digest=sha256:a11fa7f1862bb75dbc318080174f7b350e7e4789b3723aa05ff3421427a2f7a0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.539037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.573503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:17.799076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:11.623207Z digest=sha256:371c3e860cb52af95189fc5f4e2dde014a7e3e17b0bcfa94fc7c36293c6d1739

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.628049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.683372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.708129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:17.578730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:11.712171Z digest=sha256:87d3ba3a19106b6baea2ae26ee4db2e1e739c5a3583121467ecada8fe645f670

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.761719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.835889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:11.899191Z digest=sha256:a57200e5094be51ecc5e1b377b26968e1ace98f2672a7bf3660503464326f845

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.004447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.135705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.220269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.220269Z digest=sha256:8e680767d1f961c491a7de42918fc896f58e635c28dc6fa0f08d07df40c4b00d

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

This paper cites Hashimoto.

Discrete Markov Bridge Hashimoto

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.288744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.288744Z digest=sha256:17422c1898bb2a3fc90cba014ef877a5c9f826b78bbd34d84f659fb0ff859e40

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:12.327644Z digest=sha256:c5b07fdad52b33bfb061e58506fda10211ea3d6609b3bed6a25ba772d0b6e9bf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:16.978455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:12.347536Z digest=sha256:f7c16d8ccd198e849ef6f59221e8ce157062fb628d060ba7fd07d690a265b4f6

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:12.431911Z digest=sha256:1a7eded0688fb3ccf765bacad41f404adc83af302b8f05b8e497c68374427686

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

This paper cites Variational Diffusion Models.

Discrete Markov Bridge Variational Diffusion Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.497382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.497382Z digest=sha256:5513e0ab2e46cf98eb6def41c22ea289208f8df964aee9331a8bb8e0272ea8ca

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.592899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.592899Z digest=sha256:f64d845000f800f9998f1767aab9c02bdfb6e87089aaa2d01c838004464f370d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.652975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.652975Z digest=sha256:4fdc741f2525a4cb4c7c1cab1e09b7b6e4a5f75a92a34b0a909276d725835cac

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

This paper cites Kingma and Prafulla Dhariwal.

Discrete Markov Bridge Kingma and Prafulla Dhariwal

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.685045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.685045Z digest=sha256:946cc0a1a7de5372b957f2c140ee4b0312fef0e5523adb12e7bc45dd2a270711

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:12.777245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:12.777245Z digest=sha256:3effb8afd7b03dd4ae1bbf3c02abedb5e44c7e28e52c3e5555ed7a5bb39dd980

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:12.868991Z digest=sha256:254a470c6809ffa14f360b945044c034d388858ee7d116cfd6afcc7869b010ad

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

This paper cites Albergo, Nicholas M.

Discrete Markov Bridge Albergo, Nicholas M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:16.409469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:12.930700Z digest=sha256:bf41a3a13d0cc19970a8203f7566343122377832ebebc0e47b66995c025db340

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

This paper cites Zico Kolter.

Discrete Markov Bridge Zico Kolter

Reference 32

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.001999Z digest=sha256:6ee7209bdb9541c69ed7b8768f701f5876e329f36b0cd12c5df270df589e6a29

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

This paper cites Generative Adversarial Networks.

Discrete Markov Bridge Generative Adversarial Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:13.081125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:13.081125Z digest=sha256:1450661b47c6c51ee7066c03e886796e82d5a415e5fe5637b8701fd978b1095a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.163970Z digest=sha256:a7a2de561164402c23b702777111bb0812a1e3c36a589899ab961b9833fa251d

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.229918Z digest=sha256:35c2255a75419e226aea49e46374a78395d75688278b0f8de35d3895648a849a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.317111Z digest=sha256:f82b337959c3e906b6af65f684d9c00f2788fcab4044e95416b14847b7d4dca1

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.389277Z digest=sha256:484f936f3ddb82325b384e38083e0596d8dd9b07fd8103b51572f85e3ab2bfed

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:13.445303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:13.445303Z digest=sha256:270453675724af7b82012ca7d68fb692cd8ec29ad5adab85017e2dc31f7886ec

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

This paper cites Bayesian flow networks,.

Discrete Markov Bridge Bayesian flow networks,

Reference 39

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.521776Z digest=sha256:114c3aae4466cdfddfc0a71827a264b2025bb5e065df79018869d006df98d00e

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

This paper cites Denoising diffusion probabilistic models.

Discrete Markov Bridge Denoising diffusion probabilistic models

Reference 40

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.710720Z digest=sha256:e81447127908eeadf02c9395831c67bc2ba3a07a221488eee06d9ea7e78369bb

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.778668Z digest=sha256:937b537f1592a036faaac1462a2f725ad572ddcc4382af029fa264988949e3fd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:13.852738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:13.852738Z digest=sha256:77e5b26ac7297e2abcd2e5a3209d7a43a16e3264dd49e2d524d583787b544b47

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:13.923032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:13.923032Z digest=sha256:358939ac393310201097fa29a4eefd40d5a29084a3d9752ef7c1ef7072521efe

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:13.983684Z digest=sha256:37db098ffc3e9b06395dd8737887270210152346ec7cb78ca5c8c078e703bb75

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:17:14.044504Z digest=sha256:7887c8c94652d643b9354c119bc5c46ace2e04ba219e5158ff6948c01837e72e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:14.085368Z

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:14.142708Z

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:14.217872Z

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:14.293280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:11.482229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:13.588399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Pith citing papers

No inbound Pith citation observations are available.