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Paper Citation Record · LEDGER

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.18171.

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

pith.paper-citation-record.v1
2509.18171 v5

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:34:04.564720Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

38 of 38 outbound references displayed

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  • unresolved38
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c6c85df-e1c3-4896-ad84-fa66336c9465 · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis , " * write output.state after.block = add.period write newline

Reference 1

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Observation a0580802-bc3b-4142-8bca-84cec55193a8 · outbound

This paper cites write newline.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis write newline

Reference 2

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Observation 666066c3-01f8-47d6-bfa0-2d28a8723a80 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Federated Learning Based on Dynamic Regularization

Reference 3

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Observation 85bd3e0f-d600-4212-8268-79b428ba0415 · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 4

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Observation 6d331bf4-fe51-4281-8629-b60112b87185 · outbound

This paper cites Momentum Benefits Non-IID Federated Learning Simply and Provably.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 5

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Observation 08dc3db0-6aa5-4d5a-9076-589c5b19fc0c · outbound

This paper cites Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data

Reference 6

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Observation da63fb7f-f318-4a7f-b86e-e3e3695a4a56 · outbound

This paper cites Buffer-based Gradient Projection for Continual Federated Learning.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Buffer-based Gradient Projection for Continual Federated Learning

Reference 7

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Observation 7eb7e16a-9c76-442b-9f08-32888de5d6be · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 8

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Observation 9153562c-26e5-44d2-bcf2-682c5e231e8c · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Fast Graph Representation Learning with PyTorch Geometric

Reference 9

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 11

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 12

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Observation b35b706a-19fb-4a5f-b95f-b563a65d6d0e · outbound

This paper cites Federated Graph Semantic and Structural Learning.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Federated Graph Semantic and Structural Learning

Reference 13

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Observation a9c48c96-3b86-4fd7-a960-2c4ed9513d3d · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis P.; Rebjock, Q.; Stich, S.; and Jaggi, M

Reference 14

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Observation a6c4131d-8193-4528-af33-712bb6dee344 · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 15

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Observation cced5eb0-e204-4d87-b03b-54d4bfdf0bf3 · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments

Reference 16

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 17

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Observation bd4de08a-4674-4bcd-9964-6493158db49f · outbound

This paper cites K.; Zaheer, M.; Sanjabi, M.; Talwalkar, A.; and Smith, V.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis K.; Zaheer, M.; Sanjabi, M.; Talwalkar, A.; and Smith, V

Reference 18

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Observation ac2c5cf5-a0d2-4e8b-9a30-703d665d6e86 · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 19

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Observation 065dd48d-cd2c-4720-a1f0-327cbf857de0 · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 20

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Observation b0800bb6-fef3-48f9-9368-4be8300a359b · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Adaptive Federated Optimization

Reference 21

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 22

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 23

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Observation 9c51f869-04ae-442e-9742-f25557c7055c · outbound

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 24

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis U.; Cordonnier, J.-B.; and Jaggi, M

Reference 25

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Influence-oriented Personalized Federated Learning

Reference 27

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

Reference 29

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 30

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 32

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Reference 33

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Reference 34

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Y.; Kou, Z.; and Wang, D

Reference 35

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 36

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 37

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Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-04T16:34:04.564720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:34:04.564720Z digest=sha256:b360c1ca563b7696e443a2b64289a7a9be4f5a3ae4abccf9a5afcf3ecbbecaa2

Pith citing papers

No inbound Pith citation observations are available.