Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows | Paper Citation Record

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

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This paper cites Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Large scale GAN training for high fidelity natural image synthesis

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows A continuous time framework for discrete denoising models

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This paper cites Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 7

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This paper cites Block neural autoregressive flow.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Block neural autoregressive flow

Reference 8

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This paper cites Go with the flow: Adaptive control for neural odes.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Go with the flow: Adaptive control for neural odes

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This paper cites Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Reference 10

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This paper cites Neural ordinary differential equations.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Neural ordinary differential equations

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Observation 09a63e2d-9e6b-47a5-984c-eeb43562b583 · outbound

This paper cites Residual energy-based models for text generation.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Residual energy-based models for text generation

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This paper cites Continuous diffusion for categorical data.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Continuous diffusion for categorical data

Reference 15

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This paper cites Nice: Non-linear independent components estimation.International Conference on Learning Representations workshop Track, 2014.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Nice: Non-linear independent components estimation.International Conference on Learning Representations workshop Track, 2014

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This paper cites Density estimation using real NVP.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Density estimation using real NVP

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This paper cites Augmented neural odes.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Augmented neural odes

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This paper cites Discrete Flow Matching.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Discrete Flow Matching

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This paper cites MADE: masked autoen- coder for distribution estimation.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows MADE: masked autoen- coder for distribution estimation

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This paper cites Better & Faster Large Language Models via Multi-token Prediction.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Better & Faster Large Language Models via Multi-token Prediction

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This paper cites OpenWebText Corpus.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows OpenWebText Corpus

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This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sher- jil Ozair, Aaron C.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sher- jil Ozair, Aaron C

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This paper cites Bayesian Flow Networks.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Bayesian Flow Networks

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Observation e27e4b0f-c070-4450-96b7-54794d6c9294 · outbound

This paper cites Hashimoto.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Hashimoto

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This paper cites Deep residual learning for image recognition.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Deep residual learning for image recognition

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This paper cites Flow++: Improving flow-based generative models with variational dequantization and architecture design.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Flow++: Improving flow-based generative models with variational dequantization and architecture design

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This paper cites Denoising diffusion probabilistic models.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Denoising diffusion probabilistic models

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Observation 4bdcb3de-0b2e-451e-b131-39af3c87fd7d · outbound

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Argmax flows and multinomial diffusion: Learning categorical distributions

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Courville

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This paper cites A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.Communications in Statistics-Simulation and Computation, 18(3):1059– 1076, 1989.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.Communications in Statistics-Simulation and Computation, 18(3):1059– 1076, 1989

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Scaling up gans for text-to-image synthesis

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows A style-based generator architecture for generative adversarial networks

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This paper cites Maximum likelihood training of implicit nonlinear diffusion model.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Maximum likelihood training of implicit nonlinear diffusion model

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Kingma and Prafulla Dhariwal

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Auto-Encoding Variational Bayes

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Improved variational inference with inverse autoregressive flow.Advances in neural information processing systems, 29, 2016

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This paper cites Hashimoto.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Hashimoto

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Observation f51e0ac8-b7e9-4549-b6e3-51622a79ea16 · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Categorical normalizing flows via continuous transforma- tions

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Observation 1d2c0ccc-379e-4446-a02b-1c4b34831820 · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows DeepSeek-V3 Technical Report

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Theodorou

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Think While You Generate: Discrete Diffusion with Planned Denoising

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Discrete diffusion modeling by estimat- ing the ratios of the data distribution

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Maximum likelihood training for score-based diffusion odes by high order denoising score matching

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Observation cdc0e2a7-5680-47b8-a959-a4cea2490e2b · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows text8 Corpus

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Concrete score match- ing: Generalized score matching for discrete data

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Masked autoregressive flow for density estimation

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, and Balaji Lakshminarayanan

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Observation 7495996a-bb6e-4d56-b59e-0e23dca13292 · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Transformer Neural Autoregressive Flows

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Observation b8d8147c-7f3d-4b0e-abb2-2b6200e22a15 · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Sdxl: Improving latent diffusion models for high-resolution image synthesis

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Routledge, 2018

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Observation 9d6ba36d-65ee-49ec-a4d1-50fd1ca2a2e6 · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Remarks on a multivariate transformation.The annals of mathematical statistics, 23(3):470–472, 1952

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:37.256059Z

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Observation f836a96f-dca2-4bc4-ade2-12ddde48a7ac · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Simple and Effective Masked Diffusion Language Models

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Observation f451da14-d9b6-477f-b4cc-7de2d94a0f88 · outbound

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Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Step-unrolled denoising autoencoders for text generation

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Observation 5a9e5645-cedb-40ae-b06b-1eea0d305415 · outbound

This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Simplified and Generalized Masked Diffusion for Discrete Data

Reference 58

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Observation 5a540c5d-7964-41fe-98e3-306f14c8dd89 · outbound

This paper cites Training and inference on any-order autore- gressive models the right way.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Training and inference on any-order autore- gressive models the right way

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.820790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2af32222-26f9-4143-8f40-436fd68ec888 · outbound

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.664468Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ef5208d-0e6e-4159-b044-2783dea51834 · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Maximum likelihood training of score-based diffusion models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.525870Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff5c641d-2f03-48e9-b49a-6db8b163b3fd · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.359511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b1b0a7a-e709-436d-97d7-37ee9f471161 · outbound

This paper cites f-VAEs: Improve VAEs with Conditional Flows.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows f-VAEs: Improve VAEs with Conditional Flows

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:26.859944Z

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Observation 37c59f73-e769-4915-9b45-eb3129f0fc1e · outbound

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

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Score-based continuous- time discrete diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.233653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00c86ea8-5aa4-4d62-b6b1-835356c12d54 · outbound

This paper cites Neural discrete representation learning.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Neural discrete representation learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:36.073758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4ee3fd38-4717-416d-a654-b98c2220431f · outbound

This paper cites Attention is all you need.(nips), 2017.Advances in neural information processing systems, 30, 2017.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Attention is all you need.(nips), 2017.Advances in neural information processing systems, 30, 2017

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.969991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50d0678d-d33f-461f-81a9-6ef99bfce36a · outbound

This paper cites Digress: Discrete denoising diffusion for graph generation.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Digress: Discrete denoising diffusion for graph generation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.825933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6830c3b-aa4c-48d5-a0e0-ab99f666a84c · outbound

This paper cites Stabilizing Generative Adversarial Networks: A Survey.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Stabilizing Generative Adversarial Networks: A Survey

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:27.540596Z

Source-reported events for the cited work

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Observation 42388cbf-e9c9-40d5-9e64-c420b334bb83 · outbound

This paper cites Energy-Based Diffusion Language Models for Text Generation.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Energy-Based Diffusion Language Models for Text Generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:27.645274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896146bb-a990-4ff3-954e-093d5e1bf887 · outbound

This paper cites Seqgan: Sequence generative adversarial nets with policy gradient.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Seqgan: Sequence generative adversarial nets with policy gradient

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.693100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f037e215-73a4-4023-96bd-0aa1bd80e113 · outbound

This paper cites Normalizing Flows are Capable Generative Models.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Normalizing Flows are Capable Generative Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:27.887508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8d1794-512e-4942-9a03-9db74aa55b03 · outbound

This paper cites Learning structured latent factors from dependent data:a generative model framework from information-theoretic perspective.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Learning structured latent factors from dependent data:a generative model framework from information-theoretic perspective

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.517612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97d4a4c3-4f93-4f0b-9d2a-b0d548dddceb · outbound

This paper cites Susskind.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Susskind

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:35.305356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a83834a-2085-4d31-8f56-d45a618a08a3 · outbound

This paper cites Robust and controllable object-centric learning through energy-based models.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Robust and controllable object-centric learning through energy-based models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.970344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8766bd6-628f-49a2-88d6-80225ea14b67 · outbound

This paper cites Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:28.479602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03194e4e-0677-4876-a857-1317bc0334e8 · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:35.131890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ec40076-0fcc-49f9-9515-e3d34cb97e67 · outbound

This paper cites A Reparameterized Discrete Diffusion Model for Text Generation.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows A Reparameterized Discrete Diffusion Model for Text Generation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:28.657707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c239c8f5-0ac0-4a6f-b97a-2c098841553c · outbound

This paper cites Open-sora: Democratizing efficient video production for all,.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Open-sora: Democratizing efficient video production for all,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.693564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b6aff9f-7bf1-47a9-804d-95f629f3a730 · outbound

This paper cites Perceptual generative autoencoders.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Perceptual generative autoencoders

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.847450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 131cc242-056c-49f6-9589-b975269b4cde · outbound

This paper cites Ziegler and Alexander M.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Ziegler and Alexander M

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.047296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d70c588-425a-47ef-8d40-91e3a5fbf0ee · outbound

This paper cites Dvornek, Sekhar Tatikonda, and James S.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Dvornek, Sekhar Tatikonda, and James S

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:34.448336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19e313f9-339c-4bf1-acd3-746fc6c6beef · outbound

This paper cites Differentiating ycdf = Φ(u t,i) with respect to ut,i yields dycdf dut,i = N(u t,i; 0,1), where N(u t,i; 0,1) is the PDF of the standard normal distribution.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Differentiating ycdf = Φ(u t,i) with respect to ut,i yields dycdf dut,i = N(u t,i; 0,1), where N(u t,i; 0,1) is the PDF of the standard normal distribution

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:33.861841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6035bc44-16c1-4295-ae37-8e21387d3939 · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:33.640939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d57d8f7-2173-48d3-9e2a-3e20c38c166f · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:33.443716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 486e68a3-d494-4ba0-b495-a48a1a3be176 · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:33.261085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99610cad-4d44-41a4-8a7f-4160086435b6 · outbound

This paper cites For a given component k, z follows a single multivariate Gaussian distribution N(m k, σ2 kId).

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows For a given component k, z follows a single multivariate Gaussian distribution N(m k, σ2 kId)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:33.082583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84c0d40b-d689-4a71-80c7-6235cc1c7586 · outbound

This paper cites We denote this by α(i) k (z<i) and compute it using Bayes’ rule: P(K=k|z <i) = p(z<i|K=k)P(K=k) p(z<i) = p(z<i|K=k)P(K=k)PV j=1 p(z<i|K=j)P(K=j).

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows We denote this by α(i) k (z<i) and compute it using Bayes’ rule: P(K=k|z <i) = p(z<i|K=k)P(K=k) p(z<i) = p(z<i|K=k)P(K=k)PV j=1 p(z<i|K=j)P(K=j)

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:32.875696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5c725e3-6878-4ee7-be37-c645f228c300 · outbound

This paper cites This corresponds to minimizingKL(q in∥pmodel).

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows This corresponds to minimizingKL(q in∥pmodel)

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:32.684737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d09be4c-dcc4-4e75-8397-6d1a51f6706d · outbound

This paper cites Flexible Patch Size.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Flexible Patch Size

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:32.545944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f6282bb-b67a-4d1c-bdb8-b43ccdcfc352 · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:32.389680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e292e8de-8de5-4a3e-8bea-35eb22c245e6 · outbound

This paper cites ,zt−1)will converge to(µ x1 ,.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows ,zt−1)will converge to(µ x1 ,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:32.270096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b85e9ee-8bcb-46d6-8b61-1c8fbaa62efc · outbound

This paper cites equation 71) evaluated at zt ≈µ xt will behave as follows: If µk are distinct, then for zt ≈µ xt, Nxt (zt) will be large, while Nj(zt) for j̸=x t will be very small.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows equation 71) evaluated at zt ≈µ xt will behave as follows: If µk are distinct, then for zt ≈µ xt, Nxt (zt) will be large, while Nj(zt) for j̸=x t will be very small

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:32.115556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1b6365d5-24f3-4594-a1a7-51bd18d552d8 · outbound

This paper cites RealNVP [17] built upon this by introducing scaling and shifting operations, thereby increasing model flexibility.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows RealNVP [17] built upon this by introducing scaling and shifting operations, thereby increasing model flexibility

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:31.979099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a42cfea9-05fc-4fc0-bf5f-fba8575da275 · outbound

This paper cites Other prominent generative models include Variational Autoencoders (V AEs) [38] and Generative Adversarial Networks (GANs) [23].

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Other prominent generative models include Variational Autoencoders (V AEs) [38] and Generative Adversarial Networks (GANs) [23]

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:31.830540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe394e88-a1d0-4d1f-ae90-a37efe35185c · outbound

This paper cites analog bits,.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows analog bits,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:31.641308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 525f75c3-7a9a-4953-948d-083700b9c0bb · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:21.223874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74109a62-ed49-49e6-b98c-111d29dd0967 · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:34.294408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50485a9d-ab1f-4388-93fd-7043c9f27feb · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:36.970843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 164476e6-6f8e-4954-a05f-e9a1575f0201 · outbound

This paper cites an unresolved cited work.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:34.593796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers