Paper Citation Record · LEDGER

Understanding over-squashing and bottlenecks on graphs via curvature

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:00:21.553574Z

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

Reference resolution

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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 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

Resolution: unresolved; no resolver link, observed 2026-08-07T00:00:21.553574Z

Source-reported events for the cited work

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Observation 391f259f-70b5-4e96-8264-41497731792e · inbound

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

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:09.126827Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:27.447922Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-05T18:41:20.063418Z

Source-reported events for the cited work

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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

Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c299072-f75c-42dd-8bf6-a337ac5df24c · inbound

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T19:31:11.023284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-07-11T20:32:51.641968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6082c823-b302-42b5-aba5-ef2f98e9d69f · inbound

Schreier-Coset Graph Rewiring cites this paper.

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

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-01T07:18:41.130386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116483aa-5667-489f-8656-6b372ffdecb8 · inbound

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.