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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 2026-08-06T06:34:29.942622+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.105804Z digest=sha256:80b1469a148fd8df6e827cd80485a4c65ce537a39f7bce828854e5d097520ee0

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.114133Z digest=sha256:9e772af0e70376449a49249484fe2120ddacd6c39f1747ef75f855e486fdca63

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.117922Z digest=sha256:271d0d7ed55076e05a6fb467b979958a53d897e6836bda5509742a16961e89c9

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.121664Z digest=sha256:142dbcb9a8d1f3dfb97d279d03f42ad6d8ac80e5cf124ae544056862f04b3c06

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.125305Z digest=sha256:89877bbaa3011eb0e7d8010f3d4dd8701f0d6241edd174528023058cbe09d29b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.129245Z digest=sha256:79d0db5f450d7f1d623741af1d88cea33602854f61018e288fcdf2b0a82e57d8

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.

source=pdf_text observed=2026-08-05T05:33:03.133194Z digest=sha256:88adb8566f62833b779233961dfcedec6d1911c19bdbeaa0ea4b5da6ad15579d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.138123Z digest=sha256:add66f5a7e0d8ddbb1a6b3e6d0bb40c9ffe00df45bcb8a2fb6bdff13d92d7da5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.142135Z digest=sha256:2afaf6d76b1e6f3b2b2cb1102ac432f52d873a310d2d25a4fd735f2810b32cd2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.149988Z digest=sha256:839a27cd77e69e0731b534991da55cfd462e97983d79b2e54d9015949b245c34

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.153585Z digest=sha256:e8b1e1f23562d2714c936727d6fc0538d0181ee998d27ed94cc2dedf8fb69be8

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.157279Z digest=sha256:b50bc5e5579a3fd48ff3674a7ba93b129ff9a36b7d3a9ddb50a1329bbc69bfc5

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.160982Z digest=sha256:68564ac808884120e64ef9a56f54707900f6b3b2aab73e7bff5d2cfff617a39f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.164629Z digest=sha256:a42cbcaf2aec1acd31f4bad961d5a86653c9bfdb444998578d8ac77774586bfc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.168094Z digest=sha256:1f1c9c10c46941409c05a121c5e2bc1ddd9d503b2b4b9a48b6e0f984a8d90b1d

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.171486Z digest=sha256:65794e7ed40ba821383f1e7a5541ff35c74c880c1bed4451fafb0d130c7d5879

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.174935Z digest=sha256:bd7fd4de68c6f3973f70483c77f390b7f00a8c0b3bfcd13852e42f1e66a673e9

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.178736Z digest=sha256:e0ea659bf365677f50b3beb589c67e29cba8cacf78bdb1e4470e56d325bb2f66

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.182383Z digest=sha256:4dd571bdfe7e332d66dae7e87ddf2a952cb3cb5da8a057155d916d0cd055e800

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.185920Z digest=sha256:24bd6552d63287c00057665db5c0a59994606fcd8d2fad210305c94c2e6d8fa7

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.189612Z digest=sha256:0d8972b3235d5c01f151ec06b890ae80e1dfcdf7daa00bec1da113644f182294

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.193159Z digest=sha256:74923e1e85fea3181e9d98726c5f2eb1a2f3b17b88bf8325edc7c2b157a1c5ef

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.196947Z digest=sha256:ed79218892a9f7deec152f25bf295cfbc3b88a85ae5e8c4c9f6bfc10f2ef4ea6

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.204299Z digest=sha256:b4334ab90ae206d06d394ccf7f50949aff7b4250a30488b4c4cb9bcbf5a58cab

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.207831Z digest=sha256:77c890e008746fcae3d9107325f886cac9391226492d60e26e0b2fbf4c142540

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.211726Z digest=sha256:ce7cafe19bdc19c8cb36c960bcd25d0f5cee263449331fb95eadd2ae88226e89

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.215421Z digest=sha256:d8aaa7b030f1d75048fc3ebd1d80af153f6ed0935134ab5a5ed87354eb333f3e

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.219059Z digest=sha256:67c944d33ab1de293f145a3fed0b2bae6a027b194134ebc8077f77c5526f48a4

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.226755Z digest=sha256:29271726bb6d05d2fdcc9438270c26790ba60a9274e33d64095a1baf9605d3c9

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.230367Z digest=sha256:1bfb3c00c8047e45e21b8515c8783d1efadeffa36271adea4d4dcb4d46c2da54

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.233922Z digest=sha256:329a6dcd9c4f423bedd9c3e6974199e58e27befc538c03f74d2e1c71c3d8588f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.223083Z digest=sha256:54b5045148bc71f6cc158947c0e5f30df5f8a3508045b6dbc9d8d78849d315d5

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

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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 2026-08-06T06:34:29.942622+00:00.

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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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T05:33:03.245275Z digest=sha256:3c63b6ff2766bbf6fbac2cfe2b97d5df0190f2026769e0551086bf571922f68d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.249070Z digest=sha256:f4d61fbc910a62cda695988b02def8ceaa5997e8049f7176c734839a467aae93

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

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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 2026-08-06T06:34:29.942622+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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
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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 2026-08-06T06:34:29.942622+00:00.

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