Decentralised AI Training and Inference with BlockTrain | Paper Citation Record

Observation 19f9ff04-e378-46af-b535-aacc2aac2a54 · outbound

This paper cites Aethir whitepaper.

Decentralised AI Training and Inference with BlockTrain Aethir whitepaper

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4946433-7f79-4343-83dd-78c88d351913 · outbound

This paper cites Akash network: Decentralized cloud infrastructure marketplace.

Decentralised AI Training and Inference with BlockTrain Akash network: Decentralized cloud infrastructure marketplace

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e930d0-716a-46ce-bfda-2484d22d3ea5 · outbound

This paper cites QSGD : Communication-efficient SGD via gradient quantization and encoding.

Decentralised AI Training and Inference with BlockTrain QSGD : Communication-efficient SGD via gradient quantization and encoding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab0aac6-b262-4569-b06c-3d469f8f32e2 · outbound

This paper cites Stochastic gradient push for distributed deep learning.

Decentralised AI Training and Inference with BlockTrain Stochastic gradient push for distributed deep learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 100afbbc-9688-4052-9921-b49f09ae9268 · outbound

This paper cites Greedy layerwise learning can scale to ImageNet.

Decentralised AI Training and Inference with BlockTrain Greedy layerwise learning can scale to ImageNet

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e4d162b-f32b-4db1-ad14-6fea2b35386e · outbound

This paper cites How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation.

Decentralised AI Training and Inference with BlockTrain How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a859c551-f4d1-4ad7-8613-dd6b32adc55a · outbound

This paper cites Greedy layer-wise training of deep networks.

Decentralised AI Training and Inference with BlockTrain Greedy layer-wise training of deep networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247f4aeb-23bd-4916-8580-02635402f24d · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Decentralised AI Training and Inference with BlockTrain Flower: A Friendly Federated Learning Research Framework

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad48dd8c-258e-4152-a3fb-27a6f1be971f · outbound

This paper cites Training transformers together.

Decentralised AI Training and Inference with BlockTrain Training transformers together

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405d78aa-0b88-4617-a7de-1aecc61a7cc5 · outbound

This paper cites Petals: Collaborative Inference and Fine-tuning of Large Models.

Decentralised AI Training and Inference with BlockTrain Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c94076-ebfd-4cdb-906a-d328ff1339c0 · outbound

This paper cites Distributed deep learning in open collaborations.

Decentralised AI Training and Inference with BlockTrain Distributed deep learning in open collaborations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 581f7009-d95a-4aa1-9150-306cd498b727 · outbound

This paper cites FLock: Defending Malicious Behaviors in Federated Learning with Blockchain.

Decentralised AI Training and Inference with BlockTrain FLock: Defending Malicious Behaviors in Federated Learning with Blockchain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51646666-7d4f-4119-ba3b-3c88e434897f · outbound

This paper cites DiPaCo: Distributed Path Composition.

Decentralised AI Training and Inference with BlockTrain DiPaCo: Distributed Path Composition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103db19b-15ab-43dd-8925-a843cfb19809 · outbound

This paper cites DiLoCo : Distributed low-communication training of language models.

Decentralised AI Training and Inference with BlockTrain DiLoCo : Distributed low-communication training of language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6491a8b3-c876-44e0-90ed-f4ebe26a1a39 · outbound

This paper cites Joint statement on competition in generative AI foundation models and AI products.

Decentralised AI Training and Inference with BlockTrain Joint statement on competition in generative AI foundation models and AI products

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f10e8f5f-d9d7-40aa-a34d-775c37f6cd5c · outbound

This paper cites FLock : Federated machine learning on blockchain.

Decentralised AI Training and Inference with BlockTrain FLock : Federated machine learning on blockchain

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e69b2b-95f3-4a1d-afc4-e5ac12db2217 · outbound

This paper cites FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.

Decentralised AI Training and Inference with BlockTrain FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad81ff6-a1fe-4f25-9ec2-390217962095 · outbound

This paper cites FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression.

Decentralised AI Training and Inference with BlockTrain FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bfaf590-4352-4e56-ab3f-c55b92b64f94 · outbound

This paper cites RL swarm: A framework for collaborative reinforcement learning.

Decentralised AI Training and Inference with BlockTrain RL swarm: A framework for collaborative reinforcement learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec9a9fa0-f6a3-4e81-9a2b-426109a53c66 · outbound

This paper cites FedML: A Research Library and Benchmark for Federated Machine Learning.

Decentralised AI Training and Inference with BlockTrain FedML: A Research Library and Benchmark for Federated Machine Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd30402-e6af-4aed-98df-aa5577ee0fff · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

Decentralised AI Training and Inference with BlockTrain The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db77157e-2b88-4424-9b1e-bdbfbb079cf3 · outbound

This paper cites Denoising diffusion probabilistic models.

Decentralised AI Training and Inference with BlockTrain Denoising diffusion probabilistic models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5bdaa8d-cd99-4d99-b64a-684f4083ebe2 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Decentralised AI Training and Inference with BlockTrain Estimation of non-normalized statistical models by score matching

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebdc850d-ab2b-471e-b7ab-9bc46d4a425f · outbound

This paper cites Decoupled neural interfaces using synthetic gradients.

Decentralised AI Training and Inference with BlockTrain Decoupled neural interfaces using synthetic gradients

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d469e1d-4c0b-4743-8b6e-15df9c522b53 · outbound

This paper cites INTELLECT-1 Technical Report.

Decentralised AI Training and Inference with BlockTrain INTELLECT-1 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c41c56-1a82-4196-83d0-fc4d7f4bb7d7 · outbound

This paper cites OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training.

Decentralised AI Training and Inference with BlockTrain OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee499d7a-620a-4c15-ad9c-10e508a15c82 · outbound

This paper cites Stich, and Martin Jaggi.

Decentralised AI Training and Inference with BlockTrain Stich, and Martin Jaggi

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a5bea9-e85a-4f88-832d-e75f7e751863 · outbound

This paper cites Stich, and Ananda Theertha Suresh.

Decentralised AI Training and Inference with BlockTrain Stich, and Ananda Theertha Suresh

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff687a76-da4f-476a-b6a2-5de0722b3d69 · outbound

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

Decentralised AI Training and Inference with BlockTrain Elucidating the design space of diffusion-based generative models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4ee33aa-6390-4c5e-ba38-a4787f7cef53 · outbound

This paper cites Stich, and Martin Jaggi.

Decentralised AI Training and Inference with BlockTrain Stich, and Martin Jaggi

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bfa2e38-e433-4d9e-be3f-17f231769263 · outbound

This paper cites an unresolved cited work.

Decentralised AI Training and Inference with BlockTrain Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b62d11-0540-4409-977e-bba0a919589e · outbound

This paper cites Madhyastha, and Mosharaf Chowdhury.

Decentralised AI Training and Inference with BlockTrain Madhyastha, and Mosharaf Chowdhury

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9d1502-f48b-42bc-aebc-618839339cc9 · outbound

This paper cites Madhyastha, and Mosharaf Chowdhury.

Decentralised AI Training and Inference with BlockTrain Madhyastha, and Mosharaf Chowdhury

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0234b2-5548-4e7d-8b1a-8ec8e31bf731 · outbound

This paper cites Deeply-supervised nets.

Decentralised AI Training and Inference with BlockTrain Deeply-supervised nets

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009dda4f-9d7d-4ecd-89e4-767b95e248e6 · outbound

This paper cites Difference target propagation.

Decentralised AI Training and Inference with BlockTrain Difference target propagation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd94ee50-d4a0-4886-b0fe-3a2337f9ecdb · outbound

This paper cites Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models.

Decentralised AI Training and Inference with BlockTrain Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a082207c-f7ea-4158-a2b5-6e7dfc517bc8 · outbound

This paper cites Federated optimization in heterogeneous networks.

Decentralised AI Training and Inference with BlockTrain Federated optimization in heterogeneous networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0de6314-163e-47d6-88d5-80140275f877 · outbound

This paper cites Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent.

Decentralised AI Training and Inference with BlockTrain Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a638064-016a-49ef-88f6-900c53794dff · outbound

This paper cites an unresolved cited work.

Decentralised AI Training and Inference with BlockTrain Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ed3859-8351-4063-b148-1aab847b72ae · outbound

This paper cites Decentralized diffusion models.

Decentralised AI Training and Inference with BlockTrain Decentralized diffusion models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d1b535-a189-4686-bbae-a272bcaf7edf · outbound

This paper cites Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Ag \"u era y Arcas.

Decentralised AI Training and Inference with BlockTrain Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Ag \"u era y Arcas

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 164d96db-acbd-4d76-b646-8a68ae54719d · outbound

This paper cites Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices.

Decentralised AI Training and Inference with BlockTrain Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049724a7-0536-4651-b10d-0423cbb276a2 · outbound

This paper cites Dual-use foundation models with widely available model weights.

Decentralised AI Training and Inference with BlockTrain Dual-use foundation models with widely available model weights

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171a32e1-8ad7-42eb-83c8-eda0398cd900 · outbound

This paper cites DisTrO : Distributed training over-the-internet.

Decentralised AI Training and Inference with BlockTrain DisTrO : Distributed training over-the-internet

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 312f825e-6596-40c1-8aa0-dbd15c20daaf · outbound

This paper cites Democratizing AI : The psyche network architecture.

Decentralised AI Training and Inference with BlockTrain Democratizing AI : The psyche network architecture

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb77d02-e78a-414e-b7dd-0e66b901a181 · outbound

This paper cites Competition in artificial intelligence infrastructure.

Decentralised AI Training and Inference with BlockTrain Competition in artificial intelligence infrastructure

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d9eac8a-9c42-4a19-a0c7-75869b7619f3 · outbound

This paper cites Bittensor: A peer-to-peer intelligence market.

Decentralised AI Training and Inference with BlockTrain Bittensor: A peer-to-peer intelligence market

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63be351-8362-46d4-8cb1-56f82f3b0033 · outbound

This paper cites an unresolved cited work.

Decentralised AI Training and Inference with BlockTrain Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26791764-eff7-4df4-a3b7-3be1c006c59d · outbound

This paper cites Agora: A decentralized pipeline-parallel training system.

Decentralised AI Training and Inference with BlockTrain Agora: A decentralized pipeline-parallel training system

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb6b80d-8e94-4611-bd0e-cdf857ae384d · outbound

This paper cites Hogwild!: A lock-free approach to parallelizing stochastic gradient descent.

Decentralised AI Training and Inference with BlockTrain Hogwild!: A lock-free approach to parallelizing stochastic gradient descent

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33672b7f-98cc-480b-a73c-86ea3bb10ef7 · outbound

This paper cites Towards crowdsourced training of large neural networks using decentralized mixture-of-experts.

Decentralised AI Training and Inference with BlockTrain Towards crowdsourced training of large neural networks using decentralized mixture-of-experts

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f6571b-421d-49f4-b711-901622350b63 · outbound

This paper cites Hivemind : Decentralized deep learning in PyTorch.

Decentralised AI Training and Inference with BlockTrain Hivemind : Decentralized deep learning in PyTorch

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb51bc9f-5987-4789-9ed5-bf4f2b42d50b · outbound

This paper cites Moshpit SGD : Communication-efficient decentralized training on heterogeneous unreliable devices.

Decentralised AI Training and Inference with BlockTrain Moshpit SGD : Communication-efficient decentralized training on heterogeneous unreliable devices

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0863fe62-1918-45c4-bcad-2d469e721d13 · outbound

This paper cites SWARM parallelism: Training large models can be surprisingly communication-efficient.

Decentralised AI Training and Inference with BlockTrain SWARM parallelism: Training large models can be surprisingly communication-efficient

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7166fcb-2d00-4e0a-8745-1069082e6b43 · outbound

This paper cites Computing Power and the Governance of Artificial Intelligence.

Decentralised AI Training and Inference with BlockTrain Computing Power and the Governance of Artificial Intelligence

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fe9e06-7aff-4415-839f-dbe2b5cd6c2d · outbound

This paper cites Diffusionblocks: Block-wise neural network training via diffusion interpretation.

Decentralised AI Training and Inference with BlockTrain Diffusionblocks: Block-wise neural network training via diffusion interpretation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 349bd4d7-8883-44e2-a099-3e8bee6bb28c · outbound

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

Decentralised AI Training and Inference with BlockTrain Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a446325e-292d-47a4-873a-e88354b39f97 · outbound

This paper cites Artificial intelligence index report 2025.

Decentralised AI Training and Inference with BlockTrain Artificial intelligence index report 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5f6de4-47b4-4c59-9395-e2399c6a456b · outbound

This paper cites an unresolved cited work.

Decentralised AI Training and Inference with BlockTrain Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993953e3-9cb7-4f4c-97e8-670a6f783b74 · outbound

This paper cites Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Decentralised AI Training and Inference with BlockTrain Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c3238f4-3a9f-4371-8648-360c6f97139a · outbound

This paper cites AI foundation models: Technical update report.

Decentralised AI Training and Inference with BlockTrain AI foundation models: Technical update report

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12497eb-5c83-4a71-86d0-e7f8e3869127 · outbound

This paper cites Gated linear networks.

Decentralised AI Training and Inference with BlockTrain Gated linear networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcbb64b5-30c4-4f2c-9953-40abae18b78c · outbound

This paper cites A connection between score matching and denoising autoencoders.

Decentralised AI Training and Inference with BlockTrain A connection between score matching and denoising autoencoders

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf1b449-b27d-4636-a04c-2ea9fba8c7b4 · outbound

This paper cites Concentrating intelligence: Scaling and market structure in artificial intelligence.

Decentralised AI Training and Inference with BlockTrain Concentrating intelligence: Scaling and market structure in artificial intelligence

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b430420-9deb-45d0-a759-75574861d9bd · outbound

This paper cites PowerSGD : Practical low-rank gradient compression for distributed optimization.

Decentralised AI Training and Inference with BlockTrain PowerSGD : Practical low-rank gradient compression for distributed optimization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1dd7ec-f7dd-43d0-8f1e-c3e097b6f31c · outbound

This paper cites Shastry, Suhas Manamohan, Subhadeep Mukherjee, Vibhor Garg, Rajesh Sarveswara, Katharina H \"a ndler, Peter Pickkers, N.

Decentralised AI Training and Inference with BlockTrain Shastry, Suhas Manamohan, Subhadeep Mukherjee, Vibhor Garg, Rajesh Sarveswara, Katharina H \"a ndler, Peter Pickkers, N

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad08ce43-9ca8-4f73-898d-638b67ba81ad · outbound

This paper cites Decentralized Training of Foundation Models in Heterogeneous Environments.

Decentralised AI Training and Inference with BlockTrain Decentralized Training of Foundation Models in Heterogeneous Environments

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers