Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T08:41:11.486329Z
Paper Citation Record · LEDGER
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.
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Source: paper_references, paper_reference_links, observed 2026-08-01T08:41:11.486329Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:34:23.972864Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T13:34:24.602813Z
100 of 106 outbound references displayed
External citation measurements
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Observation d6a6a7f1-ddd0-4ec2-96fd-7cca7dc7448d · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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Observation c7cf0faf-d03f-403c-bf84-3c6363b7cd9a · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Reference 38
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Observation 02480333-c11d-4330-8b61-9bad12f6756e · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Improving and generalizing flow-based generative models with minibatch optimal transport
Reference 39
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Observation 9dec99ac-33c9-4bd6-bdf5-5b9f5755eb7c · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Learning with minibatch Wasserstein: asymptotic and gradient properties
Reference 40
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Observation 6512728f-ad0b-4c62-bac3-15aa79e97626 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation The bitter lesson.Incomplete Ideas (blog), 13(1):38, 2019
Reference 41
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Observation ff5cb82f-7496-4f36-a148-425e766e1ee9 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Deep unsupervised learning using nonequilibrium thermodynamics
Reference 42
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Observation 95fdf436-7b12-4c18-b026-94c9d6033fee · outbound
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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Observation 44be4544-1aef-4a81-a48e-b79e111ff4f6 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Improved Baselines with Representation Autoencoders
Reference 44
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Observation c981edfa-b637-4f04-888f-c15eda786170 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion Transformers with Representation Autoencoders
Reference 45
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Observation b47c3290-5575-436a-ba1e-a7f2251738e0 · outbound
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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Observation 3b5c18fe-151b-434e-8ba0-cb426d178d57 · outbound
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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Observation 8760b9d3-a16a-4546-9c15-874efeb6938b · outbound
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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Observation e43cacd8-259f-40f0-ad5b-4fabd1a32690 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation something something
Reference 49
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Observation 79782013-9f20-46c6-8303-b0b40128b22f · outbound
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
Reference 50
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Observation dad8b34d-87de-4a2e-a435-c31a3732d5f9 · outbound
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
Reference 51
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Observation 5ee2a5e1-1984-4a6e-b34a-9f492ee146e2 · outbound
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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Observation c3b248c5-9a30-46a3-b87e-05e27a5e6fe9 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Slowrun: Language modeling with infinite compute, fixed data, 2026
Reference 53
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Observation cffc3888-ece0-4a0e-a482-50a8eeb44672 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Pre-training under infinite compute
Reference 54
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Observation 0dc97cd9-72cf-4963-9c20-d542b4903cac · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation sd-vae-ft-mse, 2023
Reference 55
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Observation 17ed9dba-a2fd-4df0-a313-b9478ce0f835 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Scalable diffusion models with transformers, 2023
Reference 56
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Observation 0e5ef910-2136-4c76-b44c-ef221bac426b · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Fast training of diffusion models with masked transformers, 2023
Reference 57
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Observation 40f64df5-1871-45ba-95ae-15ffe27885a1 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Mdtv2: Masked diffusion transformer is a strong image synthesizer, 2023
Reference 58
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Observation d5e26cde-d7d4-4e57-b848-aad23b684804 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Reconstruction vs
Reference 59
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Observation 401a55df-dfc9-4711-bc1c-fbd406070f0f · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Representation alignment for generation: Training diffusion transformers is easier than you think,
Reference 60
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Observation d7427359-ecae-4bf6-99d6-a646461d3523 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Ddt: Decoupled diffusion transformer, 2025
Reference 61
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Observation 626cea65-1f64-44c9-90d1-693247fb1fee · outbound
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
Reference 62
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Observation b5652622-9374-4d94-9003-d7d9ee702aa5 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Dinov2: Learning robust visual features without supervision, 2023
Reference 63
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Observation 4c53297d-a12e-443d-9cba-5e58da8f55f4 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Reference 64
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Observation bc5dff03-7473-48ca-a698-8b513b172116 · outbound
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
Reference 65
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Observation b7c881cb-edb4-46b4-ab36-f4c2b7922b19 · outbound
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
Reference 66
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Observation 5b641e22-5a56-44b2-bdfb-245361d310a9 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Better & faster large language models via multi-token prediction, 2024
Reference 67
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Observation 22f08360-23c1-412f-bb76-1a6dfd60b2de · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation The free transformer, 2025
Reference 68
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Observation 450f36dc-7179-4144-a485-09f06cb68896 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Energy-Based Transformers are Scalable Learners and Thinkers
Reference 69
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Observation 9c90a561-f38a-4c5f-b04f-a77a6fe52321 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Self-supervised learning from images with a joint-embedding predictive architecture, 2023
Reference 70
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Observation d75beefd-9e2d-4b9f-a765-38c2d4d3b6ec · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation A path towards autonomous machine intelligence version 0.9
Reference 71
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Observation 9c4ec1fd-cc49-4f8a-808f-da4a6df731c5 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Unresolved cited work
Reference 72
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Observation dc6647c5-0f56-417d-b2f6-b6f755e8a4b9 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Learning iterative reasoning through energy minimization
Reference 73
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Observation 0a807b3e-0789-4952-9386-80f0493c7cdb · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Distribution Matching in Variational Inference
Reference 74
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Observation 33482f5f-4d4c-4d4e-be1f-de56de4ac9ed · outbound
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
Reference 75
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Observation e9eecf3c-a226-48e6-830f-aabd0999d6db · outbound
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
Reference 76
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Observation f3e1b247-a286-4779-8f1e-f44820c54e7c · outbound
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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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
Reference 78
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Observation 87c1daa1-e2a1-4dd2-8668-cced382834ab · outbound
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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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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Observation 14e0c764-3d15-4a43-89ee-fc2e38bca704 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation On Memorization in Diffusion Models
Reference 81
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Observation d0519950-19f0-49cb-a875-1b674c41079a · outbound
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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Observation b9709a42-97de-4310-8440-6015daa5d804 · outbound
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
Reference 83
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Observation 55f47114-4246-4568-bcc0-385017bc6011 · outbound
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Transformer flops
Reference 84
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Observation 8a2704be-9987-4841-ac93-160b7e4130d6 · outbound
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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Reference 91
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Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Density estimation using real nvp
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Reference 99
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