Paper Citation Record · LEDGER

Personalized Layer Selection for Graph Neural Networks

As of 11 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.14964.

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

pith.paper-citation-record.v1
2501.14964 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:51:26.533489Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy3
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 146548e5-b2ac-429a-9d3c-11a6cdfb1154 · outbound

This paper cites Sub-center arcface: Boosting face recognition by large-scale noisy web faces.

Personalized Layer Selection for Graph Neural Networks Sub-center arcface: Boosting face recognition by large-scale noisy web faces

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:51:26.826870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65033cf3-5946-4404-849c-2764c8630eac · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

Personalized Layer Selection for Graph Neural Networks Geom-GCN: Geometric Graph Convolutional Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.483149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9301c884-8085-4cc3-a2c6-02fdadb4583b · outbound

This paper cites Metric Learning with Adaptive Density Discrimination.

Personalized Layer Selection for Graph Neural Networks Metric Learning with Adaptive Density Discrimination

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:51:26.692934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c6b25a1e-a366-4d76-8b94-5003808473f5 · outbound

This paper cites DropEdge: Towards Deep Graph Convolutional Networks on Node Classification.

Personalized Layer Selection for Graph Neural Networks DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.493034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0712cec-502a-4126-9ede-d974167009f7 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

Personalized Layer Selection for Graph Neural Networks Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.508622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e69bb1-3379-4525-a437-26730ca72b7a · outbound

This paper cites Non-target-specific node injection attacks on graph neural networks: A hierarchical reinforcement learning approach.

Personalized Layer Selection for Graph Neural Networks Non-target-specific node injection attacks on graph neural networks: A hierarchical reinforcement learning approach

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:51:26.797748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2f19d02-acf9-4593-8627-cff015e074d9 · outbound

This paper cites Graph Attention Networks.

Personalized Layer Selection for Graph Neural Networks Graph Attention Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.518224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ddd136-80cf-434e-ae0a-7377e1049938 · outbound

This paper cites Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.

Personalized Layer Selection for Graph Neural Networks Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.523577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d73f23-a005-4614-914f-705392cae335 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Personalized Layer Selection for Graph Neural Networks How Powerful are Graph Neural Networks?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.528420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c2c418-0031-4687-bd22-5296812b208c · outbound

This paper cites PairNorm: Tackling Oversmoothing in GNNs.

Personalized Layer Selection for Graph Neural Networks PairNorm: Tackling Oversmoothing in GNNs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.533489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a33f61-8615-445f-a8c9-0dcf4504d151 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Personalized Layer Selection for Graph Neural Networks Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.503340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0d56fa-eb6f-44ef-acce-3cef27faa17c · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Personalized Layer Selection for Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.473403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e256e2fb-5980-41e2-be9d-a0e9c881b678 · outbound

This paper cites How Attentive are Graph Attention Networks?.

Personalized Layer Selection for Graph Neural Networks How Attentive are Graph Attention Networks?

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.449687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45228002-d333-425b-bab6-ef6be268cc21 · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

Personalized Layer Selection for Graph Neural Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.455103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48ef345-abcf-4700-8a07-1705e5eb7da3 · outbound

This paper cites Understanding convolution on graphs via energies.

Personalized Layer Selection for Graph Neural Networks Understanding convolution on graphs via energies

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.464405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0fb193a-e20c-41d3-9fd9-46fff6f0bedb · outbound

This paper cites Revisiting Graph Neural Networks: All We Have is Low-Pass Filters.

Personalized Layer Selection for Graph Neural Networks Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.478201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15173fff-907d-40c9-b4be-2fb821deed0b · outbound

This paper cites Drew: Dynamically rewired message passing with delay.

Personalized Layer Selection for Graph Neural Networks Drew: Dynamically rewired message passing with delay

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:51:26.812117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72faa079-8f2f-4976-a848-abb6b9f09896 · outbound

This paper cites Gradient Gating for Deep Multi-Rate Learning on Graphs.

Personalized Layer Selection for Graph Neural Networks Gradient Gating for Deep Multi-Rate Learning on Graphs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:26.498276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.