Paper Citation Record · LEDGER

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.14061.

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

pith.paper-citation-record.v1
2404.14061 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:26.594537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.123392Z

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 a82e58d2-3c03-40b5-8116-38f1ecfa67b2 · inbound

S2FGL: Spatial Spectral Federated Graph Learning cites this paper.

S2FGL: Spatial Spectral Federated Graph Learning FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:26.594537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81a293e-e02c-4ee1-9949-43f04fa517d8 · inbound

A Comprehensive Data-centric Overview of Federated Graph Learning cites this paper.

A Comprehensive Data-centric Overview of Federated Graph Learning FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:12.657935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a54451-8149-4978-8a65-d71286b51eb9 · inbound

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach cites this paper.

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T06:16:58.319019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395ada64-404d-4e7f-bc8d-39ceea6bfb34 · inbound

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning cites this paper.

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:42:30.409271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bacd728-092b-4ace-ab08-689456d0e399 · inbound

Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach cites this paper.

Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.125915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53b4f2db-fa63-4300-be35-5410bb753130 · inbound

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity cites this paper.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T00:38:04.251575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.