DICE: Data Influence Cascade in Decentralized Learning | Paper Citation Record

Observation d71798a0-b04a-4fc2-955f-e40c99d3e542 · outbound

This paper cites Let G = (V, E) denote a decentralized communication topology, where V is the set of n nodes and E is the set of edges.

DICE: Data Influence Cascade in Decentralized Learning Let G = (V, E) denote a decentralized communication topology, where V is the set of n nodes and E is the set of edges

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.246360Z

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Observation 293fc0da-87a8-4cb6-bea9-27c44d32fa6d · outbound

This paper cites The proof is given below.

DICE: Data Influence Cascade in Decentralized Learning The proof is given below

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.208363Z

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Observation 21905d37-9235-46ff-9474-3f952b2922b4 · outbound

This paper cites andH(θt+1 k ; zt+1 k ) denotes the Hessian matrix of L with respect to θt+1 k evaluated at zt+1 k.

DICE: Data Influence Cascade in Decentralized Learning andH(θt+1 k ; zt+1 k ) denotes the Hessian matrix of L with respect to θt+1 k evaluated at zt+1 k

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.195129Z

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Observation 34535b09-5a2e-4d8b-b30d-a512cf4260e7 · outbound

This paper cites Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, and Fabio Roli.

DICE: Data Influence Cascade in Decentralized Learning Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, and Fabio Roli

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.488114Z

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Observation 7a4423b3-dc4a-45de-ab8a-8d57ad4448e2 · outbound

This paper cites On three-layer data markets.

DICE: Data Influence Cascade in Decentralized Learning On three-layer data markets

Reference 7

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Observation b52b3943-faa7-4bf1-89d6-7ac00e789d3c · outbound

This paper cites Heavy-Tail Phenomenon in Decentralized SGD.

DICE: Data Influence Cascade in Decentralized Learning Heavy-Tail Phenomenon in Decentralized SGD

Reference 12

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Observation 11d2aa9a-9eb8-49b2-92c2-c60fd6d178c7 · outbound

This paper cites Federated Learning of a Mixture of Global and Local Models.

DICE: Data Influence Cascade in Decentralized Learning Federated Learning of a Mixture of Global and Local Models

Reference 14

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Observation 04a3e2b6-d1fd-4b1b-9ead-ff64815de72a · outbound

This paper cites Algorithmic progress in language models.

DICE: Data Influence Cascade in Decentralized Learning Algorithmic progress in language models

Reference 16

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Observation 2cd088c1-e685-4744-ae3a-66be81076117 · outbound

This paper cites An empirical analysis of compute-optimal large language model training.

DICE: Data Influence Cascade in Decentralized Learning An empirical analysis of compute-optimal large language model training

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.435938Z

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Observation 07a44ee0-e93c-4d4c-9d71-4a30b70a4ca8 · outbound

This paper cites INTELLECT-1 Technical Report.

DICE: Data Influence Cascade in Decentralized Learning INTELLECT-1 Technical Report

Reference 18

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Observation 091e89a3-4673-4e9f-952d-a81eeea42bdd · outbound

This paper cites Subpopulation data poisoning attacks.

DICE: Data Influence Cascade in Decentralized Learning Subpopulation data poisoning attacks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.421611Z

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Observation bc55948c-4158-49e2-b982-3279b5e1075e · outbound

This paper cites Commodification of Compute.

DICE: Data Influence Cascade in Decentralized Learning Commodification of Compute

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:00:01.798983Z

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Observation ea08b743-7fbd-46a1-9924-c9859afbfd05 · outbound

This paper cites Gradient-based learning applied to document recognition.

DICE: Data Influence Cascade in Decentralized Learning Gradient-based learning applied to document recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.407892Z

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Observation 9808461b-dd4f-41fd-958a-11d8502767a8 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

DICE: Data Influence Cascade in Decentralized Learning Textbooks Are All You Need II: phi-1.5 technical report

Reference 22

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Observation e4f02968-3826-422c-8686-998dace71e56 · outbound

This paper cites The AI index 2024 annual report.

DICE: Data Influence Cascade in Decentralized Learning The AI index 2024 annual report

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.396434Z

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Observation c2b7e62a-c7cb-428a-a904-cdb4ab185395 · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

DICE: Data Influence Cascade in Decentralized Learning Beyond neural scaling laws: beating power law scaling via data pruning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.373336Z

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Observation 29d5b6b4-2646-4748-8912-2448b86c07fe · outbound

This paper cites Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks.

DICE: Data Influence Cascade in Decentralized Learning Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:00:01.734428Z

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Observation 030b126b-2072-4eb4-a114-41e05ec3cd5b · outbound

This paper cites Measure contribution of participants in federated learning.

DICE: Data Influence Cascade in Decentralized Learning Measure contribution of participants in federated learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.361255Z

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Observation 37ea4f57-0fca-48c4-91e7-2680c73a1783 · outbound

This paper cites Data Shapley in One Training Run.

DICE: Data Influence Cascade in Decentralized Learning Data Shapley in One Training Run

Reference 30

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Observation 71230808-806d-4cae-8353-94526e73dad6 · outbound

This paper cites A Framework for Incentivized Collaborative Learning.

DICE: Data Influence Cascade in Decentralized Learning A Framework for Incentivized Collaborative Learning

Reference 31

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Observation a0dc5265-eb7d-46f1-9729-5e28f43bab93 · outbound

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DICE: Data Influence Cascade in Decentralized Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:00:02.350627Z

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Observation c9f6b53a-593c-45e2-ab4d-0625386c1337 · outbound

This paper cites iDML: Incentivized Decentralized Machine Learning.

DICE: Data Influence Cascade in Decentralized Learning iDML: Incentivized Decentralized Machine Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:00:01.680936Z

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Observation 973c6c85-d771-4be5-adcd-b18fa220d467 · outbound

This paper cites A Comprehensive Survey of Incentive Mechanism for Federated Learning.

DICE: Data Influence Cascade in Decentralized Learning A Comprehensive Survey of Incentive Mechanism for Federated Learning

Reference 34

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Observation aa530fe3-099b-4cc6-8cc6-a54d5055f5ca · outbound

This paper cites Decentralized SGD and average-direction SAM are asymptotically equivalent.

DICE: Data Influence Cascade in Decentralized Learning Decentralized SGD and average-direction SAM are asymptotically equivalent

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.340816Z

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Observation 01f49f5c-b61c-4500-931e-544b3e5bf5b4 · outbound

This paper cites Data influence estimators are broadly categorized into static and dynamic approaches5.

DICE: Data Influence Cascade in Decentralized Learning Data influence estimators are broadly categorized into static and dynamic approaches5

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.329062Z

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Observation 7ed80cc4-5eff-4d9e-8144-a67aacf4887a · outbound

This paper cites Fu et al.

DICE: Data Influence Cascade in Decentralized Learning Fu et al

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.316418Z

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Observation 15e2ec9e-f7dd-47b6-95f1-2af830b641df · outbound

This paper cites The practicality of dynamic influence estimators is demonstrated by their applications in improving training processes in modern setups (Xia et al., 2024).

DICE: Data Influence Cascade in Decentralized Learning The practicality of dynamic influence estimators is demonstrated by their applications in improving training processes in modern setups (Xia et al., 2024)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.306497Z

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Observation 1463a718-8076-4a81-9101-ab182d0f6302 · outbound

This paper cites Additionally, privacy concerns in decentralized learning are also critical, with efforts focusing on differentially privacy (Cyffers et al., 2024; Allouah et al.,.

DICE: Data Influence Cascade in Decentralized Learning Additionally, privacy concerns in decentralized learning are also critical, with efforts focusing on differentially privacy (Cyffers et al., 2024; Allouah et al.,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.296140Z

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Observation e7fabb51-7167-4fdf-a332-a12405aa2447 · outbound

This paper cites Theoretical Development of Decentralized Learning.

DICE: Data Influence Cascade in Decentralized Learning Theoretical Development of Decentralized Learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.285638Z

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Observation e2b4f56a-0c86-4f4a-a2f5-139896ce7ba7 · outbound

This paper cites an unresolved cited work.

DICE: Data Influence Cascade in Decentralized Learning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:00:02.262657Z

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Observation 2fc23e50-0293-4fd9-86e1-d1b11385d582 · outbound

This paper cites an unresolved cited work.

DICE: Data Influence Cascade in Decentralized Learning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:00:02.230601Z

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Observation 1ced8ac2-6d9c-4a0a-bcdc-ae04da6698b9 · outbound

This paper cites (2021) employing cosine similarity to recursively partition clients after convergence and Kim et al.

DICE: Data Influence Cascade in Decentralized Learning (2021) employing cosine similarity to recursively partition clients after convergence and Kim et al

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.219719Z

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Observation fbfca786-44e1-422d-917b-82bc6477cdc8 · outbound

This paper cites , kρ) such that ks ∈ N(1) out (ks−1) for s = 1,.

DICE: Data Influence Cascade in Decentralized Learning , kρ) such that ks ∈ N(1) out (ks−1) for s = 1,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.174398Z

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Observation 3e7860a1-ae71-45aa-958d-8a918b40c93b · outbound

This paper cites an unresolved cited work.

DICE: Data Influence Cascade in Decentralized Learning Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:00:02.157157Z

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Observation 7ed25b35-292f-47c7-9f0e-477a2261d022 · outbound

This paper cites The number of participants (one GPU as a participant) is set to 16 and 32, with each participant holding 512 samples.

DICE: Data Influence Cascade in Decentralized Learning The number of participants (one GPU as a participant) is set to 16 and 32, with each participant holding 512 samples

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.140248Z

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Observation dbd7c86d-8f87-445b-a6ff-bbfa6c4b022d · outbound

This paper cites power asymmetries.

DICE: Data Influence Cascade in Decentralized Learning power asymmetries

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.126812Z

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Observation 49ffb797-b0e2-4ac3-b95a-7e515b1b1b60 · outbound

This paper cites influence cascade.

DICE: Data Influence Cascade in Decentralized Learning influence cascade

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.104737Z

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.

Observation 2cd52938-ee65-451a-8777-0bb9c4cb75ed · outbound

This paper cites The numerical labels on the nodes indicate the corresponding participants, aligning with the participant indices in Figure D.22.

DICE: Data Influence Cascade in Decentralized Learning The numerical labels on the nodes indicate the corresponding participants, aligning with the participant indices in Figure D.22

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.089678Z

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

Observation f5dfbf7d-b2f5-4cb4-9afb-be32c94f3057 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

DICE: Data Influence Cascade in Decentralized Learning Studying Large Language Model Generalization with Influence Functions

Reference 1960

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Observation 1391251c-cf01-44ff-a24c-164d56bf5db7 · outbound

This paper cites Unraveling the impact of training samples.

DICE: Data Influence Cascade in Decentralized Learning Unraveling the impact of training samples

Reference 1982

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.499512Z

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Observation f727385e-512f-4ccb-9750-9314de09df62 · outbound

This paper cites The Llama 3 Herd of Models.

DICE: Data Influence Cascade in Decentralized Learning The Llama 3 Herd of Models

Reference 1985

Resolution: unresolved; no resolver link, observed 2026-08-06T19:00:00.948194Z

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Observation 2250fe74-8c08-45ae-87d6-2b4daef550eb · outbound

This paper cites Three Approaches for Personalization with Applications to Federated Learning.

DICE: Data Influence Cascade in Decentralized Learning Three Approaches for Personalization with Applications to Federated Learning

Reference 2008

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Observation 472cc9f5-1497-47da-9baf-a717b6cda7ce · outbound

This paper cites Distributed subgradient methods for multi-agent optimization.

DICE: Data Influence Cascade in Decentralized Learning Distributed subgradient methods for multi-agent optimization

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.385188Z

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.

Observation e87587f0-567a-466f-bdfe-fe4ad68eaf6a · outbound

This paper cites Byzantine-Robust Decentralized Learning via ClippedGossip.

DICE: Data Influence Cascade in Decentralized Learning Byzantine-Robust Decentralized Learning via ClippedGossip

Reference 2016

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Observation 2311c6bc-39ee-4e52-a968-e8e56d3f6d8c · outbound

This paper cites Lu & De Sa (2021) present a systematic framework for federated and decentralized learning by categorizing decentralization into three distinct layers.

DICE: Data Influence Cascade in Decentralized Learning Lu & De Sa (2021) present a systematic framework for federated and decentralized learning by categorizing decentralization into three distinct layers

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.274183Z

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

Observation bf3d5f6e-eb3a-4800-aa37-7ea4a6e5415c · outbound

This paper cites Consent in Crisis: The Rapid Decline of the AI Data Commons.

DICE: Data Influence Cascade in Decentralized Learning Consent in Crisis: The Rapid Decline of the AI Data Commons

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T19:00:01.499384Z

Source-reported events for the cited work

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Observation 4581f219-a55e-46eb-8f6f-dac9a32201d5 · outbound

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

DICE: Data Influence Cascade in Decentralized Learning DiLoCo: Distributed Low-Communication Training of Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T19:00:00.918889Z

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Observation 53afb9e3-da8e-4e6d-9ab9-c06082e83d03 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DICE: Data Influence Cascade in Decentralized Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T19:00:01.156871Z

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Observation 780dcc89-bf50-40d0-8764-076783b137ec · outbound

This paper cites an unresolved cited work.

DICE: Data Influence Cascade in Decentralized Learning Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:00:02.476162Z

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.

Observation 2ee82b29-dc5d-413a-b4cf-eb55a656b2b9 · outbound

This paper cites Identifying a training-set attack’s target using renormalized influence estimation.

DICE: Data Influence Cascade in Decentralized Learning Identifying a training-set attack’s target using renormalized influence estimation

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.450846Z

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.

Observation 6262df47-8a09-437d-bd9c-f9ca88ca3ee9 · outbound

This paper cites On the Trade-off between Flatness and Optimization in Distributed Learning.

DICE: Data Influence Cascade in Decentralized Learning On the Trade-off between Flatness and Optimization in Distributed Learning

Reference 2023

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Observation 5db69213-c3de-42b1-a86f-6de4bb2f96a8 · outbound

This paper cites Cambridge bitcoin electricity consumption index (CBECI).

DICE: Data Influence Cascade in Decentralized Learning Cambridge bitcoin electricity consumption index (CBECI)

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.513767Z

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.

Observation f71d6b91-54e9-4dfa-9ece-565bbe8be35c · outbound

This paper cites FastIF: Scalable influence functions for efficient model interpretation and debugging.

DICE: Data Influence Cascade in Decentralized Learning FastIF: Scalable influence functions for efficient model interpretation and debugging

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:00:02.464082Z

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

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