Paper Citation Record · LEDGER

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2511.13645.

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

pith.paper-citation-record.v1
2511.13645 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:50:37.831316Z

measured 19 of 19 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0db94bf4-b8d3-49ff-a2c2-ac1e8a944328 · outbound

This paper cites ACM Transactions on Mathematical Software47(4), 64:1–64:32 (2021).https: //doi.org/10.1145/3460772.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation ACM Transactions on Mathematical Software47(4), 64:1–64:32 (2021).https: //doi.org/10.1145/3460772

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.375308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c5bedc-a762-45ef-a959-6255b2f9ec63 · outbound

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

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.388444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef032f48-a233-4dd8-b420-7bb4e1bdd96a · outbound

This paper cites In: ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) (2021).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) (2021)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.399430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e64f8c-6b0d-4dcd-b42e-9520459f33a9 · outbound

This paper cites In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2019).https://doi.org/10.1145/3292500.3330925.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2019).https://doi.org/10.1145/3292500.3330925

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.406648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593be96a-5707-4213-9782-3770d293a93b · outbound

This paper cites Project documentation / arXiv preprint (2024),https://www.dgl.ai/dgl_docs/ api/python/dgl.graphbolt.html.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation Project documentation / arXiv preprint (2024),https://www.dgl.ai/dgl_docs/ api/python/dgl.graphbolt.html

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.464984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c51dcdfe-1765-4192-882b-30b1f691a02a · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation Fast Graph Representation Learning with PyTorch Geometric

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.566744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2688e162-257c-447f-9ea7-5e3b6e5c71fb · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2017).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: Advances in Neural Information Processing Systems (NeurIPS) (2017)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.649669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bfa285-0707-46a7-8b4b-55ea9b002742 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2020).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: Advances in Neural Information Processing Systems (NeurIPS) (2020)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.709589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3490037-25c8-4731-a114-1161be8b1b64 · outbound

This paper cites In: European Conference on Computer Systems (EuroSys) (2021).https://doi.org/10.1145/3447786.3456244.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: European Conference on Computer Systems (EuroSys) (2021).https://doi.org/10.1145/3447786.3456244

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.763750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708ff31e-e2dd-4223-9766-42debe542ebe · outbound

This paper cites In: HPDC (2023).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: HPDC (2023)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.871060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45250245-230a-4e39-abc1-745efb926d01 · outbound

This paper cites Decoupled Weight Decay Regularization.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation Decoupled Weight Decay Regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:36.984864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be008193-9266-4075-8a5b-4677074be702 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2018).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: International Conference on Learning Representations (ICLR) (2018)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.113864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f0031ca-812c-4895-bbd1-ab265eb37b91 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2019).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: Advances in Neural Information Processing Systems (NeurIPS) (2019)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.236835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6858a279-606b-461f-bb91-03403e9e61e4 · outbound

This paper cites Documentation (2024), https:// pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation Documentation (2024), https:// pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.390309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed52db58-f612-4c58-bf89-f48963576d82 · outbound

This paper cites ACM Transactions on Mathematical Software11(1), 37–57 (1985).https://doi.org/10.1145/3147.3165.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation ACM Transactions on Mathematical Software11(1), 37–57 (1985).https://doi.org/10.1145/3147.3165

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.481488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd5c7c4-ecac-49ae-a657-8f3f173c6c1a · outbound

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

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.593627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f16213-8fae-461a-9222-061100bcca60 · outbound

This paper cites In: USENIX Symposium on Operating Systems Design and Implementation (OSDI) (2021), https://www.usenix.org/conference/osdi21/presentation/wang-yuke.

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: USENIX Symposium on Operating Systems Design and Implementation (OSDI) (2021), https://www.usenix.org/conference/osdi21/presentation/wang-yuke

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.650060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad07ed6f-db8f-45dc-8c79-58fc0afbf992 · outbound

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

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.746200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e50545c7-537b-4c68-94eb-c3bfa8ea7b0b · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2019).

FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation In: Advances in Neural Information Processing Systems (NeurIPS) (2019)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:37.831316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.