Paper Citation Record · LEDGER

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2509.05207.

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

pith.paper-citation-record.v1
2509.05207 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:33:03.274488Z

measured 47 of 47 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T07:23:38.552382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:01:12.093367Z

Reference resolution

46 of 46 outbound references displayed

verified exact2
verified fuzzy4
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a0cc724-f2bd-4883-8501-5c7b79fde9a5 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.105804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 397cf56b-0885-4859-876f-bdc05c4eae9c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.821383Z

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.

Observation d01a0fe4-5cd4-44f2-a687-bebf841b3cfe · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.809883Z

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.

Observation 7b9ee8d8-a8c0-4766-89f5-93c6f2f36b0a · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.797971Z

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.

Observation ef27c0b4-4708-43bb-af0f-ffa5caeb3f51 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.786583Z

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.

Observation fc3de817-e607-459b-a831-f3a490810738 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.775120Z

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.

Observation 3c653dc8-b7e2-407b-918a-0dc6e41356f8 · outbound

This paper cites FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.133194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772ead2e-72e9-4683-a115-7fd966e0d339 · outbound

This paper cites Stochastic Training of Graph Convolutional Networks with Variance Reduction.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.138123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d9d251-b78b-46c0-9f2c-3bd5b626cec5 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.142135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddfb8ab9-8f84-4fcb-9b2d-d09649119d61 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.742268Z

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.

Observation be94d438-b6b0-40b2-b874-e815702af042 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.730440Z

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.

Observation 10947421-e157-4539-ae77-18ae6e023255 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.718767Z

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.

Observation e558e02d-c343-4295-82e4-56f205ffc199 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.706585Z

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.

Observation 71eea410-4a66-4993-9e81-cfa1aab806d3 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.164629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78f5540-83d0-4b8b-86e4-d7977adbe7aa · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.168094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123b4b73-e277-44fc-8f37-e30bee1c207b · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.677572Z

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.

Observation 003981cb-ad90-4b39-9dfd-1cac8f81f6b5 · outbound

This paper cites Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:03.370344Z

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.

Observation 3fb681ba-d5ad-48d2-8cbb-68c5218bacec · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.665939Z

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.

Observation 779f5915-8875-4c29-b19d-3f52a0f87145 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.654657Z

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.

Observation 5bd9a4fa-a94d-4e68-b151-b382d6e7fa23 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.643037Z

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.

Observation 9102637b-d4c8-4003-8c81-aa94676c0785 · outbound

This paper cites Gunawi, Cody Hammock, Joe Mambretti, Alexander Barnes, François Halbach, Alex Rocha, and Joe Stubbs.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Gunawi, Cody Hammock, Joe Mambretti, Alexander Barnes, François Halbach, Alex Rocha, and Joe Stubbs

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:03.631593Z

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.

Observation aeb6bfe2-d6c2-41bc-8a66-38e7bd74a9a0 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.193159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4889846-0f79-42c3-bf6d-a2ec76f405d8 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.619844Z

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.

Observation 80f41558-e25c-4b28-8af4-e7da093823fa · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.597631Z

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.

Observation 590b66fb-edbe-43bb-bbb6-5e49f88ae02f · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.586151Z

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.

Observation 2f1459ff-ff8f-4e4f-a6cd-80c4c1a7405c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.574801Z

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.

Observation 50fbc67a-1120-4e63-b2b9-8a69823975e0 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.563690Z

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.

Observation 89054193-2810-4ea7-adcf-d73d3a9ed547 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.551751Z

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.

Observation bc82a5e1-8800-4764-a076-dc57d74464a2 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.528621Z

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.

Observation acee4cdb-2db0-4d5a-848c-6a03652a9957 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.516597Z

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.

Observation 170e3ddd-7c30-4c75-86d3-0444b9ab119c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.504639Z

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.

Observation 4d9aa573-1e8d-4b97-b65c-20d539bdd0c5 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.540366Z

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.

Observation 8b4c9cd2-871a-4433-ba99-7ffa3b84445c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.479713Z

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.

Observation d52b543e-7a87-4b50-b5bb-6ae5eb9a2d1c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.467867Z

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.

Observation 22fd8a61-583d-4812-b4ad-a15b3f6e583d · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.249070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa9b84e-3e2b-49fc-ae3a-7d9a7497ff03 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.491621Z

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.

Observation 0f72a4ea-75b4-4adc-8462-7aaa72690231 · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.256264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e514c172-a1d5-4f23-a143-177b25467d57 · outbound

This paper cites Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:03.312614Z

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.

Observation 01a4b769-7f77-4f9d-9415-41b32a1c29c1 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.443276Z

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.

Observation b9e3a585-7b7e-47c6-9454-20f7c7d5a973 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.455586Z

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.

Observation 7eacf3c2-d14b-4b85-bc59-66ad45cb104e · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.422376Z

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.

Observation 9fda5f4f-3b2b-4c86-91f7-d92d593d6d89 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.267499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f1bcc8-f6ee-4542-bb6c-2c2cb5586fc2 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:03.410127Z

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.

Observation ed8f03f3-18a5-4891-b25a-8e7e853a8435 · outbound

This paper cites InProceedings of the 4th annual ACM Web science conference.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks InProceedings of the 4th annual ACM Web science conference

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:03.833997Z

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.

Observation 2277e191-2b03-4cd7-b456-df148ca3adf2 · outbound

This paper cites InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:03.754022Z

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.

Observation 300635b7-4bd3-4d8a-bd8c-49ecc911ff7f · outbound

This paper cites Briefings in bioinformatics23, 4 (2022), bbac231.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Briefings in bioinformatics23, 4 (2022), bbac231

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:03.608599Z

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.

Pith citing papers

Observation ee5e9e9c-f4ff-4648-9c20-87d7abf0ca21 · inbound

GreenDyGNN: Runtime-Adaptive Energy-Efficient Communication for Distributed GNN Training cites this paper.

GreenDyGNN: Runtime-Adaptive Energy-Efficient Communication for Distributed GNN Training RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:12.096544Z

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.