Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:37:34.639991Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2510.03434.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:37:34.639991Z
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 2026-08-03T05:23:12.827343Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:54:01.330849Z
26 of 26 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 72190659-5e59-4cdd-aa08-d0817dd10ff8 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Layer Normalization
Reference 1
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Observation 3266fca7-6121-459c-9ea9-bd02715c1019 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Reference 2
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Observation ebb36620-1e58-4f58-b2b8-24d06819bf02 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 3
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Observation 735fd172-a4bc-4a6b-a7b2-3b5eb52e84cb · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model DiLoCo: Distributed Low-Communication Training of Language Models
Reference 4
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Observation 9f0cc554-e99c-44b9-8ee9-b7407e2186e8 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Gaussian Error Linear Units (GELUs)
Reference 5
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Observation b69e7c38-4f18-4203-b630-77567aad8b14 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 6
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Observation f32d92c7-1fea-4d9d-81b5-0b78532682dd · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Gpipe: Efficient training of giant neural networks using pipeline parallelism
Reference 7
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Observation fcc03b6f-bcbf-4232-a263-8c5de40ecbe3 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Auto-encoding variational B ayes
Reference 8
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Observation 2fe7bba0-96c8-4a1c-94ee-c0be2a47bd5c · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Unresolved cited work
Reference 9
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Observation aa4f3678-a5f3-4288-bcfc-3852b9cb1f9f · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model SGDR : Stochastic gradient descent with warm restarts
Reference 10
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Observation be925c22-19c6-4104-9930-7d76b993a11a · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Decoupled weight decay regularization
Reference 11
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Observation 5cd085c7-33c6-4159-aa44-4bb688d8ece7 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Some methods for classification and analysis of multivariate observations
Reference 12
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Observation ed527d9a-fc94-4264-94d2-a9484127beea · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Decentralized diffusion models
Reference 13
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Observation e1c0bc11-4be8-46d1-a7c1-62e319f34377 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Mixed precision training
Reference 14
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Observation 6ee1cdc5-7d89-4288-b30d-6ce6d29383b2 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Pipedream: generalized pipeline parallelism for dnn training
Reference 15
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Observation 32b2923c-5369-49fb-9da5-c53d54b68d2c · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model DINOv2: Learning Robust Visual Features without Supervision
Reference 16
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Observation a55515ea-9bcb-42cb-a51d-ca8c1da7f540 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Scalable Diffusion Models with Transformers
Reference 17
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Observation cbb04702-061a-4314-95e3-fd3e4994b6f2 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Acceleration of stochastic approximation by averaging
Reference 18
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Observation 93602a09-5f11-4bdb-952e-1b0f8f8aee53 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Learning transferable visual models from natural language supervision
Reference 19
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Observation 67e98256-4403-4dcf-a1a4-fe17f9bb52e4 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model High-resolution image synthesis with latent diffusion models
Reference 20
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Observation 1e8077c2-f2de-4808-8046-46ca22e8ea5a · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model U-net: Convolutional networks for biomedical image segmentation
Reference 21
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Observation 0b5980ef-3596-4b4a-95c9-c5f16b4b8354 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Photorealistic text-to-image diffusion models with deep language understanding
Reference 22
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Observation c7c31341-8965-4077-92a3-306489a1f130 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model LAION -5b: An open large-scale dataset for training next generation image-text models
Reference 23
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Observation 910c9db4-7a21-4434-a24f-66e4763a9188 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 24
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Observation ea7c4030-4c06-4afa-81b5-7303a6c385ea · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Local SGD Converges Fast and Communicates Little
Reference 25
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Observation 86362449-6df3-4a77-93f3-8afefe93e581 · outbound
Paris: A Decentralized Trained Open-Weight Diffusion Model Attention is all you need
Reference 26
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Observation 326aa4a1-8bed-479c-a1ed-5b70fd028b49 · inbound
Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Paris: A Decentralized Trained Open-Weight Diffusion Model
Reference 11
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Observation c7878e71-a3fa-491a-8d0a-77bce1c54218 · inbound
Paris 2.0: A Decentralized Diffusion Model for Video Generation Paris: A Decentralized Trained Open-Weight Diffusion Model
Reference 2
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f0571ee-3b41-4206-a5c3-2c11a65a3369 · inbound
WorldDiT: A Unified Diffusion Architecture for World and Action Modeling Paris: A Decentralized Trained Open-Weight Diffusion Model
Reference 9
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Unavailable: canonical work link unavailable.