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Paper Citation Record · LEDGER

Hierarchical Graph Pooling with Structure Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1911.05954.

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

pith.paper-citation-record.v1
1911.05954 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:24:57.552829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:45:40.676796Z

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 0ec379b0-3071-46b2-a7e4-c4433c99b011 · inbound

NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer cites this paper.

NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer Hierarchical Graph Pooling with Structure Learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T20:24:57.552829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:24:57.552829Z digest=sha256:b383ed43d49979e160ab7b3d26a653e62966839e5699b9b0823af45991c325c1

Observation 0977e407-03f5-4297-b0a4-948a6f514176 · inbound

Towards Data-centric Machine Learning on Directed Graphs: a Survey cites this paper.

Towards Data-centric Machine Learning on Directed Graphs: a Survey Hierarchical Graph Pooling with Structure Learning

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-12T10:46:14.909611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:46:14.909611Z digest=sha256:bc31388f458b9381d6aac1f28c8f9fc8617cd156d2776487e8c3377d2dd26b50

Observation 76fd278a-6524-4bca-98b6-51af050bce62 · inbound

Graph Structure Refinement with Energy-based Contrastive Learning cites this paper.

Graph Structure Refinement with Energy-based Contrastive Learning Hierarchical Graph Pooling with Structure Learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T11:25:03.376146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:25:03.376146Z digest=sha256:2f00342e94a6f5cba374aefa2c1c972589cf7cad547eff6066f4e9b45aa53f4b

Observation a70a52b9-1843-4f6a-9ed2-3030a9328c7b · inbound

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks cites this paper.

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks Hierarchical Graph Pooling with Structure Learning

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:12:38.342023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T06:10:49.711018Z digest=sha256:4616d8acc627b7efecaacddef64408c4af9826f41b02650de7f20efe6fa96613

Observation 411dee0f-bcaf-43e8-bea0-f51e7126b352 · inbound

MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration cites this paper.

MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration Hierarchical Graph Pooling with Structure Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:21.421814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:19:21.421814Z digest=sha256:f2a54d0d09ece05d97044ea5d070d7befb729a065e900bd1f5acd899c0074233

Observation 2d5969b8-edba-4ada-b1af-517205c2759b · inbound

The Generalized Skew Spectrum of Graphs cites this paper.

The Generalized Skew Spectrum of Graphs Hierarchical Graph Pooling with Structure Learning

Reference 203

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:02.044686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:02.044686Z digest=sha256:9f8e5976ba61c491af53d3b70eba6fb60e9f6c017408ddf8f70ffe4f40f770c7

Observation 0f28c391-16e1-4eac-accf-c793bdbbec20 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Hierarchical Graph Pooling with Structure Learning

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.678221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:b69741799d605c0ea3af57186ee8e3cbbf49c6960adaa953cc1a04f5e4cae9cd