Paper Citation Record · LEDGER

Understanding over-squashing and bottlenecks on graphs via curvature

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2111.14522.

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

pith.paper-citation-record.v1
2111.14522 v3

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measured 34 of 34 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:59.261554Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

34
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b9f851d1-0599-43c3-81bf-c9a31287be06 · inbound

Even Sparser Graph Transformers cites this paper.

Even Sparser Graph Transformers Understanding over-squashing and bottlenecks on graphs via curvature

Reference 46

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Observation 2cd97b5b-3b93-4e16-ab0b-582c0b30be76 · inbound

ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment cites this paper.

ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment Understanding over-squashing and bottlenecks on graphs via curvature

Reference 1999

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Observation 47b4368c-0bb8-450d-8ae0-6a1c786e88dc · inbound

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy cites this paper.

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Understanding over-squashing and bottlenecks on graphs via curvature

Reference 59

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Observation 7232c5e4-5021-4556-a012-8dae7549c9aa · inbound

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing cites this paper.

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing Understanding over-squashing and bottlenecks on graphs via curvature

Reference 47

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Observation 61b3e8bb-7bae-4920-916c-ccb441ff4b50 · inbound

DeltaGNN: Graph Neural Network with Information Flow Control cites this paper.

DeltaGNN: Graph Neural Network with Information Flow Control Understanding over-squashing and bottlenecks on graphs via curvature

Reference 34

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Observation fa794898-9877-4b8c-aed2-46798d50f845 · inbound

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils cites this paper.

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils Understanding over-squashing and bottlenecks on graphs via curvature

Reference 66

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Observation 3f88838f-aef2-4158-8d61-872470f50081 · inbound

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations cites this paper.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Understanding over-squashing and bottlenecks on graphs via curvature

Reference 8

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Observation 91496b6a-26f4-4be2-983d-56cfc670bc5d · inbound

Policy Guided Tree Search for Enhanced LLM Reasoning cites this paper.

Policy Guided Tree Search for Enhanced LLM Reasoning Understanding over-squashing and bottlenecks on graphs via curvature

Reference 53

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Observation 3101780f-f191-4272-933c-5c7301f4db5d · inbound

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection cites this paper.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Understanding over-squashing and bottlenecks on graphs via curvature

Reference 45

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Observation ef427f0e-cb06-443b-9fd0-5267563b69f2 · inbound

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph cites this paper.

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph Understanding over-squashing and bottlenecks on graphs via curvature

Reference 22

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Observation 935cb4c4-4453-4426-87ef-32934446eae3 · inbound

Lower Ricci Curvature for Hypergraphs cites this paper.

Lower Ricci Curvature for Hypergraphs Understanding over-squashing and bottlenecks on graphs via curvature

Reference 36

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Observation 9f12cfe2-9235-4a93-878e-823464677781 · inbound

GFLC: Graph-based Fairness-aware Label Correction for Fair Classification cites this paper.

GFLC: Graph-based Fairness-aware Label Correction for Fair Classification Understanding over-squashing and bottlenecks on graphs via curvature

Reference 262

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Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials cites this paper.

Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials Understanding over-squashing and bottlenecks on graphs via curvature

Reference 63

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CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning cites this paper.

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Understanding over-squashing and bottlenecks on graphs via curvature

Reference 77

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Observation d48748c6-65ed-48f2-9920-e98d64d301bc · inbound

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction cites this paper.

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction Understanding over-squashing and bottlenecks on graphs via curvature

Reference 17

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Observation 15a16c80-36db-4337-b282-1849e5e9dc2d · inbound

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks cites this paper.

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks Understanding over-squashing and bottlenecks on graphs via curvature

Reference 55

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Observation fa8ba451-dabc-4bb7-a5fc-bff7b5412ee8 · inbound

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks cites this paper.

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks Understanding over-squashing and bottlenecks on graphs via curvature

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T23:12:24.048271Z

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Observation 43c2d638-d3bb-427b-8ed8-603a09f511c7 · inbound

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation cites this paper.

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation Understanding over-squashing and bottlenecks on graphs via curvature

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:25:28.578223Z

Source-reported events for the cited work

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Observation 62e3b160-3195-4b41-a528-5c63feb54d00 · inbound

Learning from Historical Activations in Graph Neural Networks cites this paper.

Learning from Historical Activations in Graph Neural Networks Understanding over-squashing and bottlenecks on graphs via curvature

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:15:25.458657Z

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Observation 2344cfb9-2fc7-4834-91d1-e7c13ef378bd · inbound

Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks cites this paper.

Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks Understanding over-squashing and bottlenecks on graphs via curvature

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:00:51.777382Z

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Observation 0f7198a1-ecb5-4145-9405-fab19dbe4dba · inbound

Cheeger--Hodge Contrastive Learning for Structurally Robust Graph Representation Learning cites this paper.

Cheeger--Hodge Contrastive Learning for Structurally Robust Graph Representation Learning Understanding over-squashing and bottlenecks on graphs via curvature

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:51:24.679783Z

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Observation 8ac3bd40-a7c2-489a-a8d1-f5a31d7e415a · inbound

Mesh Based Simulations with Spatial and Temporal awareness cites this paper.

Mesh Based Simulations with Spatial and Temporal awareness Understanding over-squashing and bottlenecks on graphs via curvature

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:20.024379Z

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Observation 2fd0c427-bc93-4bc7-bac4-f2cee5b69736 · inbound

TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection cites this paper.

TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection Understanding over-squashing and bottlenecks on graphs via curvature

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.518333Z

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Observation f8d60f5e-d043-4922-a92d-013b4e99550a · inbound

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation cites this paper.

Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation Understanding over-squashing and bottlenecks on graphs via curvature

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:22.399807Z

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Observation 59d26d3a-6f86-4b8e-8db0-36a1aa31c3c7 · inbound

Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning cites this paper.

Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning Understanding over-squashing and bottlenecks on graphs via curvature

Reference 178

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.477556Z

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Observation e0d796e1-9857-45b6-a05a-20959b2a4b55 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Understanding over-squashing and bottlenecks on graphs via curvature

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:37:19.201766Z

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Observation 8affb66b-6c95-44d1-9793-9ecb184a6336 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Understanding over-squashing and bottlenecks on graphs via curvature

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:37:29.967485Z

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Learning the Universe with the 2nd Generation of CAMELS: Varying 35 parameters of the IllustrisTNG model in (50Mpc/h)^3 boxes cites this paper.

Learning the Universe with the 2nd Generation of CAMELS: Varying 35 parameters of the IllustrisTNG model in (50Mpc/h)^3 boxes Understanding over-squashing and bottlenecks on graphs via curvature

Reference 82

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Observation aff89f66-00da-4b6f-8e35-7a05d78563b8 · inbound

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network cites this paper.

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network Understanding over-squashing and bottlenecks on graphs via curvature

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.427140Z

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Observation 98b8f39b-bdc7-45ba-92a6-fa6b83bce991 · inbound

On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer cites this paper.

On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer Understanding over-squashing and bottlenecks on graphs via curvature

Reference 15

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Schreier-Coset Graph Rewiring cites this paper.

Schreier-Coset Graph Rewiring Understanding over-squashing and bottlenecks on graphs via curvature

Reference 2013

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Markov and lattice bases for Forman-Ricci curvature of graphs cites this paper.

Markov and lattice bases for Forman-Ricci curvature of graphs Understanding over-squashing and bottlenecks on graphs via curvature

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T18:20:37.926737Z

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LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN cites this paper.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Understanding over-squashing and bottlenecks on graphs via curvature

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T14:25:55.857074Z

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AutoGrable: What Is a Good Graph for a Table? cites this paper.

AutoGrable: What Is a Good Graph for a Table? Understanding over-squashing and bottlenecks on graphs via curvature

Reference 21

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