Paper Citation Record · LEDGER

The Future of Large Language Model Pre-training is Federated

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.10853.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.10853 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:42.951028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:49:16.398618Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c5c9e9a-a28e-4f9c-8be1-1ddcfe7c7ce4 · inbound

Incentivizing Permissionless Distributed Learning of LLMs cites this paper.

Incentivizing Permissionless Distributed Learning of LLMs The Future of Large Language Model Pre-training is Federated

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:20.559975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9670be89-79d8-4266-9918-a33f2a890c84 · inbound

DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models cites this paper.

DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models The Future of Large Language Model Pre-training is Federated

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:23.000067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74818b1-1c84-44a9-8e63-33dcd4088cbe · inbound

MuLoCo: Muon is a practical inner optimizer for DiLoCo cites this paper.

MuLoCo: Muon is a practical inner optimizer for DiLoCo The Future of Large Language Model Pre-training is Federated

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:28.605003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8937877-051a-4ec1-a802-8a7859d30690 · inbound

Navigating the Edge-Cloud Continuum: A State-of-Practice Survey cites this paper.

Navigating the Edge-Cloud Continuum: A State-of-Practice Survey The Future of Large Language Model Pre-training is Federated

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:42.951028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f314605-7427-41c9-af25-912dc3203d5c · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality The Future of Large Language Model Pre-training is Federated

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.736432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8517dcd5-2414-4025-abd9-4f79f99f7dc7 · inbound

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape cites this paper.

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape The Future of Large Language Model Pre-training is Federated

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:48.429028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ace5f62-36c0-451e-88ca-4613beb1cd68 · inbound

A Comprehensive Data-centric Overview of Federated Graph Learning cites this paper.

A Comprehensive Data-centric Overview of Federated Graph Learning The Future of Large Language Model Pre-training is Federated

Reference 181

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:16.018738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d29132d8-2348-4478-b9d5-661968dcc2fb · inbound

Collaborative Threshold Watermarking cites this paper.

Collaborative Threshold Watermarking The Future of Large Language Model Pre-training is Federated

Reference 2023

Resolution: malformed identifier; no resolver link, observed 2026-08-03T01:03:13.745609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d7d900-459f-4270-b6e8-e841bd0f7870 · inbound

Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach cites this paper.

Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach The Future of Large Language Model Pre-training is Federated

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:49:16.399958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.