Paper Citation Record · LEDGER

Petals: Collaborative Inference and Fine-tuning of Large Models

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2209.01188.

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

pith.paper-citation-record.v1
2209.01188 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:43:55.157274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.413185Z

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 f1d03d2e-b163-4e9e-9d45-cb29792f4ade · inbound

eFedLLM: Efficient LLM Inference Based on Federated Learning cites this paper.

eFedLLM: Efficient LLM Inference Based on Federated Learning Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:43:55.157274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff17317-eb88-4327-b6a9-dea4360a9bff · inbound

Lion Cub: Minimizing Communication Overhead in Distributed Lion cites this paper.

Lion Cub: Minimizing Communication Overhead in Distributed Lion Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T13:13:25.970177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1edecbc2-59c2-40ce-a0aa-4b757f49a5fa · inbound

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem cites this paper.

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T18:31:21.680182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3582bcaa-18b2-435a-bc51-fe6dea68a540 · inbound

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training cites this paper.

Label Privacy in Split Learning for Large Models with Parameter-Efficient Training Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:42.761185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab43b71-6667-4f82-9b80-b2798066f7c8 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:04.550553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641f29ab-e41c-47fd-9499-c9961485dcc7 · inbound

Glinthawk: A Two-Tiered Architecture for Offline LLM Inference cites this paper.

Glinthawk: A Two-Tiered Architecture for Offline LLM Inference Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T18:01:46.211564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 131adf9f-b057-4545-b833-12f871d3de3b · inbound

DeServe: Towards Affordable Offline LLM Inference via Decentralization cites this paper.

DeServe: Towards Affordable Offline LLM Inference via Decentralization Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:16:53.020140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bec0824-2538-4bbb-9fe7-0753fe207d8b · inbound

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T23:17:19.708148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3743d6-38b0-495b-a278-4c1245722ebb · inbound

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism cites this paper.

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:10.010089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1081ef37-4f04-41eb-92e4-23bba293fb47 · inbound

PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs cites this paper.

PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:08.561889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f55509-b7cc-4233-9df3-793d9fc1dd26 · inbound

A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation cites this paper.

A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:45.399565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d03ce45d-4208-48a0-963a-5d9fcd8c351c · inbound

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization cites this paper.

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:04:17.833332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d27c0c1-94e9-4435-9b22-f717d5ef6dde · inbound

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks cites this paper.

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks Petals: Collaborative Inference and Fine-tuning of Large Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:43:23.576366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1cd8aab7-3852-4fa8-a0e1-a943d0ba6db9 · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

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

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:40:00.415349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Decentralised AI Training and Inference with BlockTrain cites this paper.

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.