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Paper Citation Record · LEDGER

Paris: A Decentralized Trained Open-Weight Diffusion Model

As of 13 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.

pith.paper-citation-record.v1
2510.03434 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:37:34.639991Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:23:12.827343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:54:01.330849Z

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72190659-5e59-4cdd-aa08-d0817dd10ff8 · outbound

This paper cites Layer Normalization.

Paris: A Decentralized Trained Open-Weight Diffusion Model Layer Normalization

Reference 1

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Observation 3266fca7-6121-459c-9ea9-bd02715c1019 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

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

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

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

This paper cites DiLoCo: Distributed Low-Communication Training of Language Models.

Paris: A Decentralized Trained Open-Weight Diffusion Model DiLoCo: Distributed Low-Communication Training of Language Models

Reference 4

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source=arxiv_source observed=2026-08-04T12:37:33.139636Z digest=sha256:27b9c59be477d0cdc774694409e859a2116f90068b874e64acc1154c7a46e668

Observation 9f0cc554-e99c-44b9-8ee9-b7407e2186e8 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

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

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

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

This paper cites Gpipe: Efficient training of giant neural networks using pipeline parallelism.

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

This paper cites Auto-encoding variational B ayes.

Paris: A Decentralized Trained Open-Weight Diffusion Model Auto-encoding variational B ayes

Reference 8

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source=arxiv_source observed=2026-08-04T12:37:33.426820Z digest=sha256:d274ec74435bd85f5c977cc1edf4939e10b45d2497be829f2d689913273ef135

Observation 2fe7bba0-96c8-4a1c-94ee-c0be2a47bd5c · outbound

This paper cites an unresolved cited work.

Paris: A Decentralized Trained Open-Weight Diffusion Model Unresolved cited work

Reference 9

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Observation aa4f3678-a5f3-4288-bcfc-3852b9cb1f9f · outbound

This paper cites SGDR : Stochastic gradient descent with warm restarts.

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

This paper cites Decoupled weight decay regularization.

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

This paper cites Some methods for classification and analysis of multivariate observations.

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

This paper cites Decentralized diffusion models.

Paris: A Decentralized Trained Open-Weight Diffusion Model Decentralized diffusion models

Reference 13

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source=arxiv_source observed=2026-08-04T12:37:33.780486Z digest=sha256:c53d214401908eff72110d6d0baaf123ce8670e1c3ef712f39952f493d187bee

Observation e1c0bc11-4be8-46d1-a7c1-62e319f34377 · outbound

This paper cites Mixed precision training.

Paris: A Decentralized Trained Open-Weight Diffusion Model Mixed precision training

Reference 14

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source=arxiv_source observed=2026-08-04T12:37:33.820285Z digest=sha256:2cf58ad36de9655c0e262393f3876886f349c491e58598294e002b3ae367514e

Observation 6ee1cdc5-7d89-4288-b30d-6ce6d29383b2 · outbound

This paper cites Pipedream: generalized pipeline parallelism for dnn training.

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

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

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

This paper cites Scalable Diffusion Models with Transformers.

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

This paper cites Acceleration of stochastic approximation by averaging.

Paris: A Decentralized Trained Open-Weight Diffusion Model Acceleration of stochastic approximation by averaging

Reference 18

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source=arxiv_source observed=2026-08-04T12:37:34.100004Z digest=sha256:81e92ee861f9961bf0010fbdd8a1af894b6eba4f39b05ded517eca906e3368f3

Observation 93602a09-5f11-4bdb-952e-1b0f8f8aee53 · outbound

This paper cites Learning transferable visual models from natural language supervision.

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

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

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

This paper cites U-net: Convolutional networks for biomedical image segmentation.

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

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

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

This paper cites LAION -5b: An open large-scale dataset for training next generation image-text models.

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

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

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

This paper cites Local SGD Converges Fast and Communicates Little.

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

This paper cites Attention is all you need.

Paris: A Decentralized Trained Open-Weight Diffusion Model Attention is all you need

Reference 26

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Pith citing papers

Observation 326aa4a1-8bed-479c-a1ed-5b70fd028b49 · inbound

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models cites this paper.

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 cites this paper.

Paris 2.0: A Decentralized Diffusion Model for Video Generation Paris: A Decentralized Trained Open-Weight Diffusion Model

Reference 2

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arxiv_id, observed 2026-08-03T03:15:20.746338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T22:46:36.367934Z digest=sha256:385de20d1d16cb650b6c30a07b46221c0716b3d615ed9847b55283d470c6f18a

Observation 6f0571ee-3b41-4206-a5c3-2c11a65a3369 · inbound

WorldDiT: A Unified Diffusion Architecture for World and Action Modeling cites this paper.

WorldDiT: A Unified Diffusion Architecture for World and Action Modeling Paris: A Decentralized Trained Open-Weight Diffusion Model

Reference 9

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