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Paper Citation Record · LEDGER

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation

As of 10 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 1 inbound Pith citation observation for arXiv:2607.27372.

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

pith.paper-citation-record.v1
2607.27372 v1

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:41:11.486329Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:34:23.972864Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:34:24.602813Z

Reference resolution

100 of 106 outbound references displayed

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Outbound references

Observation d6a6a7f1-ddd0-4ec2-96fd-7cca7dc7448d · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012

Reference 1

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Observation c42e6a53-460b-482a-b99a-eaeabb3453c7 · outbound

This paper cites Deep residual learning for image recognition.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Deep residual learning for image recognition

Reference 2

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Observation b4a4a141-9822-41c8-a5ce-3ec55a0cb439 · outbound

This paper cites End-to-end object detection with transformers.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation End-to-end object detection with transformers

Reference 3

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Observation 209beb9e-a7d5-44fd-a14e-50b45515fda4 · outbound

This paper cites Segment anything.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Segment anything

Reference 4

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Observation a852621a-0a7a-454a-9541-f8c06abc8255 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? InInternational Conference on Machine Learning (ICML), 2019.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Do imagenet classifiers generalize to imagenet? InInternational Conference on Machine Learning (ICML), 2019

Reference 5

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Observation 6c9f19ba-4c99-4e10-86df-13477be6c13d · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Benchmarking neural network robustness to common corruptions and perturbations

Reference 6

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Observation 0f50c475-efeb-44e7-980b-d30940b785f6 · outbound

This paper cites Earnshaw, Imran S.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Earnshaw, Imran S

Reference 7

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Observation ed243729-0b4c-4f3c-b97f-58ce6bf47e15 · outbound

This paper cites Sequence level training with recurrent neural networks.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Sequence level training with recurrent neural networks

Reference 8

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Observation bac78bac-91a9-4cdf-810f-b380c287c2aa · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Scheduled sampling for sequence prediction with recurrent neural networks

Reference 9

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Observation 871d312d-d61a-413e-a262-584745b90fd2 · outbound

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Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Unresolved cited work

Reference 10

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Observation 45862ed8-d303-4514-bddf-cba526943ad5 · outbound

This paper cites Elucidating the Exposure Bias in Diffusion Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Elucidating the Exposure Bias in Diffusion Models

Reference 11

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Observation 656272d7-642f-496e-b680-a34c7c2ebd46 · outbound

This paper cites Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

Reference 12

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Observation 48c42cc6-c5e4-4df1-866f-93a82c50eebc · outbound

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

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

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Observation a60a6fab-67ab-47b9-9637-70bf95ae869f · outbound

This paper cites Consistency models, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Consistency models, 2023

Reference 14

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Observation 92c151cc-babd-474f-a470-080a8f16cb93 · outbound

This paper cites Mean flows for one-step generative modeling.Advances in Neural Information Processing Systems, 38:75460–75482, 2026.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Mean flows for one-step generative modeling.Advances in Neural Information Processing Systems, 38:75460–75482, 2026

Reference 15

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Observation f288041e-935f-42ed-9f3d-939403f7e500 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Training Compute-Optimal Large Language Models

Reference 16

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Observation 59749137-1800-4187-828c-3cb848770ff7 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023

Reference 17

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Observation f63fa51e-8bd2-4013-8316-714d7b01eba9 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Planning with Diffusion for Flexible Behavior Synthesis

Reference 18

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Observation 6b026885-9b5c-4024-9039-4b1de2b9206e · outbound

This paper cites Mode forcing: A unifying and predictive theory of genera- tive modeling.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Mode forcing: A unifying and predictive theory of genera- tive modeling

Reference 19

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Observation ab4df2e0-6f59-4965-b7db-a13c0a0317e0 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 20

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Observation 4bc664db-14c5-4b86-9d62-82b6a6c0fcab · outbound

This paper cites Training products of experts by minimizing contrastive divergence.Neural computa- tion, 14(8):1771–1800, 2002.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Training products of experts by minimizing contrastive divergence.Neural computa- tion, 14(8):1771–1800, 2002

Reference 21

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Observation 2d336a95-0bed-48e6-8c9c-ea53dfd7bf5d · outbound

This paper cites Implicit generation and modeling with energy based models.Advances in neural information processing systems, 32, 2019.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Implicit generation and modeling with energy based models.Advances in neural information processing systems, 32, 2019

Reference 22

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Observation 2ddb17f4-1aea-4c71-969f-1803ba307def · outbound

This paper cites Flow Matching for Generative Modeling.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Flow Matching for Generative Modeling

Reference 23

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Observation 056f79f0-56e0-41d4-b4f9-324ab0b2fe92 · outbound

This paper cites A note on the evaluation of generative models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation A note on the evaluation of generative models

Reference 24

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Observation 98db6841-9e9e-45f7-94eb-4db49bb665a0 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Classifier-Free Diffusion Guidance

Reference 25

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Observation a50a89b0-1654-4f7b-93bf-d12762bc3040 · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Guiding a diffusion model with a bad version of itself

Reference 26

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Observation fecf4ec4-b578-40a2-9d8a-4126edc89f39 · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Simple and Effective Masked Diffusion Language Models

Reference 27

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Observation 97505943-2724-4971-991a-d4837d80e494 · outbound

This paper cites Murphy, and Tim Salimans.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Murphy, and Tim Salimans

Reference 28

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Observation 28e4784a-f022-4969-b643-f2a842975a24 · outbound

This paper cites Albergo, Nicholas M.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Albergo, Nicholas M

Reference 29

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Observation 63a360aa-43ed-4212-aa85-2c9987664f8e · outbound

This paper cites Jumpy generative models: Unleashing the hidden spectrum in generative modeling.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Jumpy generative models: Unleashing the hidden spectrum in generative modeling

Reference 30

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Observation 43525473-fc14-48e9-abdc-34b83d559b55 · outbound

This paper cites Gpt-4 technical report, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Gpt-4 technical report, 2023

Reference 31

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Observation c1e2d7b5-9007-41e2-901c-568e36e1e006 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation High-resolution image synthesis with latent diffusion models

Reference 32

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Observation 8ee63ce4-9132-4d9a-893d-6ebbd89be3d2 · outbound

This paper cites Stochastic multiple choice learning for training diverse deep ensembles.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Stochastic multiple choice learning for training diverse deep ensembles

Reference 33

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Observation c648228e-36b2-467e-bc1d-d0d0c3155e9a · outbound

This paper cites Implicit Maximum Likelihood Estimation.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Implicit Maximum Likelihood Estimation

Reference 34

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Observation 27afe137-d983-4718-8d26-58238c57ac25 · outbound

This paper cites Diverse imitation learning via self-organizing generative models.IEEE Transactions on Neural Networks and Learning Systems, 36(4):7145–7157, 2024.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diverse imitation learning via self-organizing generative models.IEEE Transactions on Neural Networks and Learning Systems, 36(4):7145–7157, 2024

Reference 35

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Observation 3348015c-e95a-4fc2-8db4-2dde7b8132bb · outbound

This paper cites Auto-Encoding Variational Bayes.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Auto-Encoding Variational Bayes

Reference 36

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Observation 938fd98b-8ca5-44c2-93a3-b3fe0052fcc7 · outbound

This paper cites NV AE: A deep hierarchical variational autoencoder.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation NV AE: A deep hierarchical variational autoencoder

Reference 37

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source=pdf_text observed=2026-08-01T08:41:05.749253Z digest=sha256:9bbbd853ee6a18db1714a6d0aaa0dc8b503122a011671d3882d063a212d39936

Observation c7cf0faf-d03f-403c-bf84-3c6363b7cd9a · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

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source=pdf_text observed=2026-08-01T08:41:05.827379Z digest=sha256:06405dd7d635690510bdf97392808b52f4e1fa6c96dafe243a09c5d040bc9d19

Observation 02480333-c11d-4330-8b61-9bad12f6756e · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Improving and generalizing flow-based generative models with minibatch optimal transport

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source=pdf_text observed=2026-08-01T08:41:05.922352Z digest=sha256:0145b22ec8ad6ae0bc4ec8e4c43287d29f08efb41c145d9ab4e5f766b9d5e751

Observation 9dec99ac-33c9-4bd6-bdf5-5b9f5755eb7c · outbound

This paper cites Learning with minibatch Wasserstein: asymptotic and gradient properties.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Learning with minibatch Wasserstein: asymptotic and gradient properties

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source=pdf_text observed=2026-08-01T08:41:06.030448Z digest=sha256:0131f636299fd10398c48e805a6044358f8b426e85710d4dd396719149dde04b

Observation 6512728f-ad0b-4c62-bac3-15aa79e97626 · outbound

This paper cites The bitter lesson.Incomplete Ideas (blog), 13(1):38, 2019.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation The bitter lesson.Incomplete Ideas (blog), 13(1):38, 2019

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source=pdf_text observed=2026-08-01T08:41:06.137753Z digest=sha256:e3fbe03a663c2bc520bf68c0be293f4c64d2cabed514f9ac58f794c99533096a

Observation ff5cb82f-7496-4f36-a148-425e766e1ee9 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 42

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source=pdf_text observed=2026-08-01T08:41:06.254003Z digest=sha256:737c301cc76961565a60ff169c4ac378dfe96a1132f240f34fa277ae1fc297a8

Observation 95fdf436-7b12-4c18-b026-94c9d6033fee · outbound

This paper cites Representation Fr\'echet Loss for Visual Generation.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Representation Fr\'echet Loss for Visual Generation

Reference 43

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source=pdf_text observed=2026-08-01T08:41:06.375333Z digest=sha256:6f9c520e1a5574400950b5c55a3fa2f461f16c4f8d30273f12e8dc4739251c4e

Observation 44be4544-1aef-4a81-a48e-b79e111ff4f6 · outbound

This paper cites Improved Baselines with Representation Autoencoders.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Improved Baselines with Representation Autoencoders

Reference 44

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source=pdf_text observed=2026-08-01T08:41:06.501303Z digest=sha256:623c62c18c0519fd39cf54170d186ae02cfaf81a41b8cb0d92c473137302723c

Observation c981edfa-b637-4f04-888f-c15eda786170 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion Transformers with Representation Autoencoders

Reference 45

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source=pdf_text observed=2026-08-01T08:41:06.611843Z digest=sha256:a6ee27c42ba35b4d8e2a130c5c5c42543b4e839adec1a7cc354d54c8d2ba7687

Observation b47c3290-5575-436a-ba1e-a7f2251738e0 · outbound

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

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 46

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source=pdf_text observed=2026-08-01T08:41:06.695356Z digest=sha256:d79bebad00b86b539d8c23892d544c931aebfd22e2b8575c7b188005655b987d

Observation 3b5c18fe-151b-434e-8ba0-cb426d178d57 · outbound

This paper cites Generative Frontiers: Why Evaluation Matters for Diffusion Language Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Generative Frontiers: Why Evaluation Matters for Diffusion Language Models

Reference 47

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source=pdf_text observed=2026-08-01T08:41:06.719845Z digest=sha256:a5200e87e1a0319dcb2a815c60d1fcbe8f622d7a544cb7a208f311f8bba3fdf4

Observation 8760b9d3-a16a-4546-9c15-874efeb6938b · outbound

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

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Reference 48

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source=pdf_text observed=2026-08-01T08:41:06.786957Z digest=sha256:537f969c738455bef9c2a6a2b4d5e1d59b09d389c17e400a1354289c4b7a75a3

Observation e43cacd8-259f-40f0-ad5b-4fabd1a32690 · outbound

This paper cites something something.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation something something

Reference 49

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source=pdf_text observed=2026-08-01T08:41:06.942897Z digest=sha256:121d139b17d86c8aa1cadd99d48756e592df0947fd68236d2d19f700c0903ad3

Observation 79782013-9f20-46c6-8303-b0b40128b22f · outbound

This paper cites Diffusion beats autoregressive in data-constrained settings.Advances in Neural Information Processing Systems, 38:10581–10606, 2026.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion beats autoregressive in data-constrained settings.Advances in Neural Information Processing Systems, 38:10581–10606, 2026

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source=pdf_text observed=2026-08-01T08:41:07.087782Z digest=sha256:a607fe05eedae94c680e6669a7e1bce9681cec46d54d84d8ef76c67845d4e5b6

Observation dad8b34d-87de-4a2e-a435-c31a3732d5f9 · outbound

This paper cites Deep double descent: Where bigger models and more data hurt.Journal of Statistical Mechanics: Theory and Experiment, 2021(12):124003, 2021.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Deep double descent: Where bigger models and more data hurt.Journal of Statistical Mechanics: Theory and Experiment, 2021(12):124003, 2021

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source=pdf_text observed=2026-08-01T08:41:07.164424Z digest=sha256:97aa33160a7041dc7bf1ebcecefcee9fded9c18fe3773253a5cd08da26417374

Observation 5ee2a5e1-1984-4a6e-b34a-9f492ee146e2 · outbound

This paper cites Deep Learning is Not So Mysterious or Different.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Deep Learning is Not So Mysterious or Different

Reference 52

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source=pdf_text observed=2026-08-01T08:41:07.252186Z digest=sha256:a926794984489efbe49ff13731b7a1be47c1b07554da54ac25728ef6add244a1

Observation c3b248c5-9a30-46a3-b87e-05e27a5e6fe9 · outbound

This paper cites Slowrun: Language modeling with infinite compute, fixed data, 2026.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Slowrun: Language modeling with infinite compute, fixed data, 2026

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source=pdf_text observed=2026-08-01T08:41:07.311294Z digest=sha256:bd57e5df9dc0299eb4ad6ce7d0226438bdb641ad0a59167411afcfa6fcac0b1a

Observation cffc3888-ece0-4a0e-a482-50a8eeb44672 · outbound

This paper cites Pre-training under infinite compute.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Pre-training under infinite compute

Reference 54

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source=pdf_text observed=2026-08-01T08:41:07.425835Z digest=sha256:2e72f35dfeb2ffd9f4026ac12089a70c9a6aed0200b3d8841d7fca8077aa9d0f

Observation 0dc97cd9-72cf-4963-9c20-d542b4903cac · outbound

This paper cites sd-vae-ft-mse, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation sd-vae-ft-mse, 2023

Reference 55

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source=pdf_text observed=2026-08-01T08:41:07.486830Z digest=sha256:e10e08a111163897f078f46bfef53dcd2158fa473bcb154b5842026823247e1c

Observation 17ed9dba-a2fd-4df0-a313-b9478ce0f835 · outbound

This paper cites Scalable diffusion models with transformers, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Scalable diffusion models with transformers, 2023

Reference 56

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source=pdf_text observed=2026-08-01T08:41:07.558635Z digest=sha256:4ce156c9a36917303b2807c03ca9d21714236893dc05651ad7ad729ee1b19bd0

Observation 0e5ef910-2136-4c76-b44c-ef221bac426b · outbound

This paper cites Fast training of diffusion models with masked transformers, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Fast training of diffusion models with masked transformers, 2023

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source=pdf_text observed=2026-08-01T08:41:07.616961Z digest=sha256:7da7bf2319d9db62f688db8128a0c28ef9c27edb9540b6819ebfbb143440bd7d

Observation 40f64df5-1871-45ba-95ae-15ffe27885a1 · outbound

This paper cites Mdtv2: Masked diffusion transformer is a strong image synthesizer, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Mdtv2: Masked diffusion transformer is a strong image synthesizer, 2023

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source=pdf_text observed=2026-08-01T08:41:07.691086Z digest=sha256:49bf0285e18338faf58a05f17b89bacfc7ea5e3b8e0542d1f4f8921f2bd3abc8

Observation d5e26cde-d7d4-4e57-b848-aad23b684804 · outbound

This paper cites Reconstruction vs.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Reconstruction vs

Reference 59

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source=pdf_text observed=2026-08-01T08:41:07.759675Z digest=sha256:96ec04830c83ff2e5aa1d814591d2a282e76101e6b36435a5661b1de61877fe1

Observation 401a55df-dfc9-4711-bc1c-fbd406070f0f · outbound

This paper cites Representation alignment for generation: Training diffusion transformers is easier than you think,.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Representation alignment for generation: Training diffusion transformers is easier than you think,

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source=pdf_text observed=2026-08-01T08:41:07.843944Z digest=sha256:0cce9d5ce917c388bc1074c312bcb688f4378aa6b51e46ae7e97867774ce44cc

Observation d7427359-ecae-4bf6-99d6-a646461d3523 · outbound

This paper cites Ddt: Decoupled diffusion transformer, 2025.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Ddt: Decoupled diffusion transformer, 2025

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source=pdf_text observed=2026-08-01T08:41:07.935698Z digest=sha256:723807a2c8f5d1234ef72f57c85cc26cab1099c1def58cf9d0514ecf58e0f6d4

Observation 626cea65-1f64-44c9-90d1-693247fb1fee · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers, 2025.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers, 2025

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source=pdf_text observed=2026-08-01T08:41:08.057279Z digest=sha256:995e0a72bb3f60338aea9f7bef38eda7120f7368dc79ce6ee26d7c604e0da0ed

Observation b5652622-9374-4d94-9003-d7d9ee702aa5 · outbound

This paper cites Dinov2: Learning robust visual features without supervision, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Dinov2: Learning robust visual features without supervision, 2023

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source=pdf_text observed=2026-08-01T08:41:08.151041Z digest=sha256:ed1d0a06585af98546349ba7f6462d9035f85a725a6d36d774c4a55caec1e338

Observation 4c53297d-a12e-443d-9cba-5e58da8f55f4 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation D4RL: Datasets for Deep Data-Driven Reinforcement Learning

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source=pdf_text observed=2026-08-01T08:41:08.231552Z digest=sha256:17605b2132640facfa3d73597261049e7af682e46a9f4afbe6af4fea65671df3

Observation bc5dff03-7473-48ca-a698-8b513b172116 · outbound

This paper cites Scaling up test-time compute with latent reasoning: A recurrent depth approach.Advances in Neural Information Processing Systems, 38:41340–41391, 2026.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Scaling up test-time compute with latent reasoning: A recurrent depth approach.Advances in Neural Information Processing Systems, 38:41340–41391, 2026

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source=pdf_text observed=2026-08-01T08:41:08.352459Z digest=sha256:12e3d9d724fce4026eb9a77bb13ea99dbba48ac828811e8db43cc4f00c5581b9

Observation b7c881cb-edb4-46b4-ab36-f4c2b7922b19 · outbound

This paper cites Visualizing the loss landscape of neural nets.Advances in neural information processing systems, 31, 2018.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Visualizing the loss landscape of neural nets.Advances in neural information processing systems, 31, 2018

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source=pdf_text observed=2026-08-01T08:41:08.435300Z digest=sha256:4c61bb399657abc31c6c757e12e8e441df72ae9805cda461ff81c3558dcd8053

Observation 5b641e22-5a56-44b2-bdfb-245361d310a9 · outbound

This paper cites Better & faster large language models via multi-token prediction, 2024.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Better & faster large language models via multi-token prediction, 2024

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source=pdf_text observed=2026-08-01T08:41:08.491914Z digest=sha256:dc9c366da0bfc2b061eab11cdac7df36fc6c86a8a35a07ed6e8d540e1cc00c6c

Observation 22f08360-23c1-412f-bb76-1a6dfd60b2de · outbound

This paper cites The free transformer, 2025.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation The free transformer, 2025

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source=pdf_text observed=2026-08-01T08:41:08.577688Z digest=sha256:33ca4796ed61d79d53739711734e6f4f5efc232a0ecbb179131548c33605305f

Observation 450f36dc-7179-4144-a485-09f06cb68896 · outbound

This paper cites Energy-Based Transformers are Scalable Learners and Thinkers.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Energy-Based Transformers are Scalable Learners and Thinkers

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source=pdf_text observed=2026-08-01T08:41:08.641850Z digest=sha256:e403abcf04c723d097130cf139926aea13cd31508f838a595bcb1265f7f82e20

Observation 9c90a561-f38a-4c5f-b04f-a77a6fe52321 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture, 2023.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Self-supervised learning from images with a joint-embedding predictive architecture, 2023

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source=pdf_text observed=2026-08-01T08:41:08.703046Z digest=sha256:42fba65fa18ac3c1e275b6bd6ddadb306b89eb42ebe4a83c893176eca0147821

Observation d75beefd-9e2d-4b9f-a765-38c2d4d3b6ec · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation A path towards autonomous machine intelligence version 0.9

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source=pdf_text observed=2026-08-01T08:41:08.794388Z digest=sha256:b291a205ef679905b6dd2966018a73df7378d271adcaed953b3a709a0385c7f9

Observation 9c4ec1fd-cc49-4f8a-808f-da4a6df731c5 · outbound

This paper cites an unresolved cited work.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-01T08:41:08.874643Z digest=sha256:84934ff7fca34326cdd7cf4fad449caadd460cc802c7513561f87cbe90c3a1a4

Observation dc6647c5-0f56-417d-b2f6-b6f755e8a4b9 · outbound

This paper cites Learning iterative reasoning through energy minimization.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Learning iterative reasoning through energy minimization

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source=pdf_text observed=2026-08-01T08:41:09.019459Z digest=sha256:12368d60df07de5b62832d52934edc901a86ba2d0ebc77297e14eb2fc68f526c

Observation 0a807b3e-0789-4952-9386-80f0493c7cdb · outbound

This paper cites Distribution Matching in Variational Inference.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Distribution Matching in Variational Inference

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source=pdf_text observed=2026-08-01T08:41:09.098125Z digest=sha256:897f056e993b876df401e8dda48f617895f19a5d3fa46328005677a7946f62d2

Observation 33482f5f-4d4c-4d4e-be1f-de56de4ac9ed · outbound

This paper cites Unified latents (ul): How to train your latents.arXiv preprint arXiv:2602.17270, 2026.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Unified latents (ul): How to train your latents.arXiv preprint arXiv:2602.17270, 2026

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source=pdf_text observed=2026-08-01T08:41:09.181252Z digest=sha256:7a1152e06381146c524c20d489f1fe2cdca1ffde7a800c26ec086f40d1172c17

Observation e9eecf3c-a226-48e6-830f-aabd0999d6db · outbound

This paper cites KL-regularized reinforcement learning is designed to mode collapse.arXiv preprint arXiv:2510.20817, 2025.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation KL-regularized reinforcement learning is designed to mode collapse.arXiv preprint arXiv:2510.20817, 2025

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source=pdf_text observed=2026-08-01T08:41:09.236796Z digest=sha256:0431d853439355805c6af56148c9b62650d63e05bb46b47e9b6904a840894ad0

Observation f3e1b247-a286-4779-8f1e-f44820c54e7c · outbound

This paper cites Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Reference 77

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source=pdf_text observed=2026-08-01T08:41:09.320896Z digest=sha256:1a282a715b999cb5006223bfadd8f0832196bb5dbc771862a5104d1fa940987e

Observation 6952a280-a2fc-40fd-8a28-d37681c5f779 · outbound

This paper cites Inference-aware fine-tuning for best-of-n sampling in large language models.arXiv preprint arXiv:2412.15287, 2024.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Inference-aware fine-tuning for best-of-n sampling in large language models.arXiv preprint arXiv:2412.15287, 2024

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source=pdf_text observed=2026-08-01T08:41:09.384405Z digest=sha256:66dd4e1132ea2ba6f5475fc3700e3df133b544758b2562977b101bed2365289e

Observation 87c1daa1-e2a1-4dd2-8668-cced382834ab · outbound

This paper cites Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Reference 79

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source=pdf_text observed=2026-08-01T08:41:09.464477Z digest=sha256:7a68e925d7fdd5de3f40ed0939052c7bbb9e911186f4596fdbeb6f8833e77847

Observation 066bd68e-88e9-4b5b-98f8-7b0183d3f226 · outbound

This paper cites Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Generalization in diffusion models arises from geometry-adaptive harmonic representations

Reference 80

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source=pdf_text observed=2026-08-01T08:41:09.550212Z digest=sha256:7f121f2caf98efd01aaaf6aa62174ba6d09a5af6e85bafc39dc5a510d6f2c0e6

Observation 14e0c764-3d15-4a43-89ee-fc2e38bca704 · outbound

This paper cites On Memorization in Diffusion Models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation On Memorization in Diffusion Models

Reference 81

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source=pdf_text observed=2026-08-01T08:41:09.604919Z digest=sha256:988032d8fa47626469f08ab0aeffa2af4b6fa14bc5d3844fc989f6ddd6384b5f

Observation d0519950-19f0-49cb-a875-1b674c41079a · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 82

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source=pdf_text observed=2026-08-01T08:41:09.659189Z digest=sha256:6d5b1ed47761d4ab09228c9bb8adf7bc012bd5fa8a37b885c1d01f2f790f31cd

Observation b9709a42-97de-4310-8440-6015daa5d804 · outbound

This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015

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source=pdf_text observed=2026-08-01T08:41:09.744659Z digest=sha256:27fd7acf3839cbbb6c6d96aba8353596ae91c9dee7e9a5777ed5c41a21014115

Observation 55f47114-4246-4568-bcc0-385017bc6011 · outbound

This paper cites Transformer flops.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Transformer flops

Reference 84

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source=pdf_text observed=2026-08-01T08:41:09.798025Z digest=sha256:70a6080249d5b8d681463a8708c3f861c4404a89c11a68888789bb928ebbff0c

Observation 8a2704be-9987-4841-ac93-160b7e4130d6 · outbound

This paper cites Learning from reward-free offline data: A case for planning with latent dynamics models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Learning from reward-free offline data: A case for planning with latent dynamics models

Reference 85

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source=pdf_text observed=2026-08-01T08:41:09.886453Z digest=sha256:9f9e2ef7d8cd6bcc4c7cb32cc6d287bc7b4d086140a1a0a9dc19bac59dfe63af

Observation bf8122ea-001f-41e2-b139-9d0221d8eeab · outbound

This paper cites Back to basics: Let denoising generative models denoise.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Back to basics: Let denoising generative models denoise

Reference 86

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source=pdf_text observed=2026-08-01T08:41:09.970200Z digest=sha256:68f4f32c6362277c40d08235721c976fe2f96ed7df16eafe15e0974cdc76bc8e

Observation 707e5643-8d0f-479e-9d43-6e613b00212a · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Elucidating the design space of diffusion-based generative models

Reference 87

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source=pdf_text observed=2026-08-01T08:41:10.060011Z digest=sha256:196fc74b469121817bd85360581abebb86a05d05bc94faea3ecf64a52d7e1c47

Observation a5daee6d-c7d4-42e4-bec8-96035f78f960 · outbound

This paper cites V-jepa 2: Self-supervised video models enable understanding, prediction and planning, 2025.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation V-jepa 2: Self-supervised video models enable understanding, prediction and planning, 2025

Reference 88

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source=pdf_text observed=2026-08-01T08:41:10.160611Z digest=sha256:2788f6b34ab46b19d8be73a2c6f448795a1b62ff43710823657b731c082cb3d2

Observation 9774176a-5e4d-4cc6-b821-584e6601a3e6 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation What matters in learning from offline human demonstrations for robot manipulation

Reference 89

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source=pdf_text observed=2026-08-01T08:41:10.256841Z digest=sha256:8fcbe8b8e6e67e3be4e37fb55d5537105b995b4aacc99dc434e3a2ac46b9e21e

Observation 328c7fd8-aae9-4ba8-a3ec-a86fdcb2c954 · outbound

This paper cites Qwen2.5 Technical Report.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Qwen2.5 Technical Report

Reference 90

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source=pdf_text observed=2026-08-01T08:41:10.347628Z digest=sha256:ceaa19748d61c2172cdfa74be73b5495b3144a4af904201f1dba2de67a616c2d

Observation c71cfb82-eccd-4edc-b428-33f046716863 · outbound

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

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 91

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source=pdf_text observed=2026-08-01T08:41:10.441176Z digest=sha256:e2de7422f4b694012a41fb4923b2ba8356c28553b3e28481eff0061aed2a738c

Observation 34dbf4aa-1c46-4642-8c37-f4cfaa697a58 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 92

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source=pdf_text observed=2026-08-01T08:41:10.556144Z digest=sha256:7358c687093e9f58913030127125123eda05374ac58088ca000461bad79a2748

Observation fde36bd1-fa4e-4257-8ebb-b66457ed94e2 · outbound

This paper cites Density estimation using real nvp.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Density estimation using real nvp

Reference 93

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source=pdf_text observed=2026-08-01T08:41:10.672015Z digest=sha256:121e6b825d9c3d8828b26688f44e458094423f07e2fba967d8be545c1cef2e05

Observation 37ab5b52-9979-4202-9da5-c9fb481e2bee · outbound

This paper cites Relaxing bijectivity constraints with continuously indexed normalising flows.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Relaxing bijectivity constraints with continuously indexed normalising flows

Reference 94

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source=pdf_text observed=2026-08-01T08:41:10.785454Z digest=sha256:1b8e27e50bb1fd5ac1c8dd8c3aec7255c403f16aba0dcd1f83d5fd1ab641bcf2

Observation ffb0fc24-254a-4c70-9a08-ee8ac643e46b · outbound

This paper cites Normalizing flows are capable generative models.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Normalizing flows are capable generative models

Reference 95

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source=pdf_text observed=2026-08-01T08:41:10.897312Z digest=sha256:69d69e16a96228b4a2bd26ea5ea7d3ebcd3b2d09ae4700b3cf5b08a44a2540f1

Observation 38f5d9af-4037-4f49-8cf2-b1c8b6f97589 · outbound

This paper cites Starflow-v: End-to-end video generative modeling with normalizing flows.arXiv preprint arXiv:2511.20462, 2025.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Starflow-v: End-to-end video generative modeling with normalizing flows.arXiv preprint arXiv:2511.20462, 2025

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source=pdf_text observed=2026-08-01T08:41:11.013527Z digest=sha256:a855b07ab6cda6c571fc539cf38fd4edf991a1f2be9c6aaf15652d66a8e11db2

Observation 6845c312-c272-45b3-9b9e-7cd93a752156 · outbound

This paper cites Minibatch optimal transport distances; analysis and applications.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Minibatch optimal transport distances; analysis and applications

Reference 97

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source=pdf_text observed=2026-08-01T08:41:11.129938Z digest=sha256:89e49b87d9fbab83a5d34856e95f7c96cd1d5254cc21afd34a55be570f978ee5

Observation 890c4287-2f71-4dba-a972-401de4b86830 · outbound

This paper cites Faster inference of flow-based generative models via improved data-noise coupling.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Faster inference of flow-based generative models via improved data-noise coupling

Reference 98

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source=pdf_text observed=2026-08-01T08:41:11.284469Z digest=sha256:ec80478cdc490247ff522ff3f25e45cb6df8e2c7fb4865b06c8857373a3ebb57

Observation ded3803e-0e14-4fd6-b1ac-bf1c3f7acc34 · outbound

This paper cites Beyond optimal transport: Model-aligned coupling for flow matching.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Beyond optimal transport: Model-aligned coupling for flow matching

Reference 99

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source=pdf_text observed=2026-08-01T08:41:11.348169Z digest=sha256:dcef060063692215bf59e6f4ce60c484491f07f23bc1f9647cde1457c6a0b198

Observation f93b5490-69f8-4ef3-9187-6375cfd3c579 · outbound

This paper cites Multiple choice learning: Learning to produce multiple structured outputs.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Multiple choice learning: Learning to produce multiple structured outputs

Reference 100

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source=pdf_text observed=2026-08-01T08:41:11.486329Z digest=sha256:758dc021774ea6a6c1fedab3dcb2038b4c8b80c953ea62db867e0b510c60d74a

Pith citing papers

Observation 4d4ddc57-f415-4674-9633-d7d9c8efde87 · inbound

Why the Third Axis Is Freedom cites this paper.

Why the Third Axis Is Freedom Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation

Reference 2026

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local_arxiv, observed 2026-08-08T13:34:24.607979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:34:23.972864Z digest=sha256:c41db9b38f28e52f9f508106b5e087ead54b71c2bacbedff3ed2dce84c86f9f1