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Paper Citation Record · LEDGER

Schreier-Coset Graph Rewiring

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.27479.

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

pith.paper-citation-record.v1
2607.27479 v1

Coverage vector

measured 24 of 24 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T07:18:41.707407Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

24 of 24 outbound references displayed

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Outbound references

Observation 773c399b-8bed-4e22-b33a-52606b0da0cc · outbound

This paper cites Eigenvalues, expanders and superconcentrators.

Schreier-Coset Graph Rewiring Eigenvalues, expanders and superconcentrators

Reference 1

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source=pdf_text observed=2026-08-01T07:18:39.250725Z digest=sha256:a5f44353e8b3552dc64edaa55febe091a73a50ffde78eec325dc25522de9addd

Observation 762a8f53-3faa-4851-b25d-e0aedd6ace37 · outbound

This paper cites Cooperative Graph Neural Networks.

Schreier-Coset Graph Rewiring Cooperative Graph Neural Networks

Reference 9

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source=pdf_text observed=2026-08-01T07:18:40.206357Z digest=sha256:22a0c73743c58992834155133e1209219af8a8f1a3a720779c946aeddf15379b

Observation 82bdd919-d089-4b04-b264-115a0cb8f79f · outbound

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

Schreier-Coset Graph Rewiring Semi-Supervised Classification with Graph Convolutional Networks

Reference 12

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source=pdf_text observed=2026-08-01T07:18:40.618180Z digest=sha256:ab9be8abfde4bf8fa5a8cec9875f080c413ca8515d02ad9405c5427e373c6130

Observation b5f3495f-3ab3-430c-9ea8-4f30599d5874 · outbound

This paper cites TUDataset: A collection of benchmark datasets for learning with graphs.

Schreier-Coset Graph Rewiring TUDataset: A collection of benchmark datasets for learning with graphs

Reference 13

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source=pdf_text observed=2026-08-01T07:18:40.715193Z digest=sha256:dea401d9d258820c00c33dcf0930a8566f0999ac41c4c7353ca89884cbdfac42

Observation 39e8d401-4f43-4b0f-b7cc-48f9d0d53325 · outbound

This paper cites MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit.

Schreier-Coset Graph Rewiring MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit

Reference 14

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source=pdf_text observed=2026-08-01T07:18:40.787967Z digest=sha256:0edae8028ac4fe2d15de5caf2c375d36f20898edd26997ea317ff4ea7d64f048

Observation a62e182a-9ee8-48b4-91ff-2b84d53b32c7 · outbound

This paper cites Probabilistically Rewired Message-Passing Neural Networks.

Schreier-Coset Graph Rewiring Probabilistically Rewired Message-Passing Neural Networks

Reference 15

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source=pdf_text observed=2026-08-01T07:18:40.873867Z digest=sha256:4d0d1bb859f205d2f1ae66bf3f2a5ceacc08142bffec6040ca6b140f3d96a797

Observation 04e3fa1c-35f0-4102-a681-4e4302d6142a · outbound

This paper cites Recipe for a General, Powerful, Scalable Graph Transformer.

Schreier-Coset Graph Rewiring Recipe for a General, Powerful, Scalable Graph Transformer

Reference 16

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source=pdf_text observed=2026-08-01T07:18:40.951654Z digest=sha256:9f50d7151e04dc733b31107b09c9413034b7b11864c1793ade1a268711b597b0

Observation a11db2a5-8745-4653-945d-b5da18862065 · outbound

This paper cites Graph Attention Networks.

Schreier-Coset Graph Rewiring Graph Attention Networks

Reference 19

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source=pdf_text observed=2026-08-01T07:18:41.198045Z digest=sha256:0231377b836b33c30e0bb33422f75a1d75a4ae45695935960598788b07e3d16b

Observation 508424c4-6e76-4f56-9016-bc096dfb0bc7 · outbound

This paper cites For sufficiently large primesp, the Cayley graphs ofGp = SL(2,F p)with generating set Sp form a family of (combinatorial) expanders [Bourgain and Gamburd, 2008].

Schreier-Coset Graph Rewiring For sufficiently large primesp, the Cayley graphs ofGp = SL(2,F p)with generating set Sp form a family of (combinatorial) expanders [Bourgain and Gamburd, 2008]

Reference 21

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Observation e72ae040-03a4-48aa-888f-fee963934b9e · outbound

This paper cites In particular, the eigenvalues of the transition matrices ofPCay(Gp,Sp) are strictly greater than -1.

Schreier-Coset Graph Rewiring In particular, the eigenvalues of the transition matrices ofPCay(Gp,Sp) are strictly greater than -1

Reference 22

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source=pdf_text observed=2026-08-01T07:18:41.496485Z digest=sha256:6b9ddbe6f6e97562fc459c3fc1fddbc81c58869a24acd5530d77fc7857068fb5

Observation 3866b23f-ef3f-46e7-88a0-56aa0998052c · outbound

This paper cites bottleneck.

Schreier-Coset Graph Rewiring bottleneck

Reference 23

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source=pdf_text observed=2026-08-01T07:18:41.593097Z digest=sha256:95c2064acb0a1d2a7c8f15610a4ddf80a81974c33bd94102ce0fdb8917d21f5e

Observation 5c89782a-05f6-4c7c-b3f3-8937d764b27e · outbound

This paper cites Cayley Graph Propagation.

Schreier-Coset Graph Rewiring Cayley Graph Propagation

Reference 1974

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source=pdf_text observed=2026-08-01T07:18:41.277902Z digest=sha256:8bea035410a740884dab7ec08cb01d35c9e002631084034525f66e3300cb5c16

Observation dc67f43d-7c07-4c33-b34f-c23a8e5a5bcd · outbound

This paper cites On the Bottleneck of Graph Neural Networks and its Practical Implications.

Schreier-Coset Graph Rewiring On the Bottleneck of Graph Neural Networks and its Practical Implications

Reference 1984

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source=pdf_text observed=2026-08-01T07:18:39.343238Z digest=sha256:928a406323d1f552a471b675aa8637e57661baf91675a27da4ac9782fa9bfdd8

Observation a2d8ffde-7af0-4ccf-ab8e-46b56873e89a · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Schreier-Coset Graph Rewiring Pitfalls of Graph Neural Network Evaluation

Reference 2008

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Observation 9a2c2dcc-70d5-47c9-a7f7-ed5de0b206e3 · outbound

This paper cites PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.

Schreier-Coset Graph Rewiring PANDA: Expanded Width-Aware Message Passing Beyond Rewiring

Reference 2009

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

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

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

Reference 2013

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source=pdf_text observed=2026-08-01T07:18:41.130386Z digest=sha256:5d434ad8907c758171b8eb957ca70b0a22f63e746dcb6a31d661b03c7d5e3179

Observation aafc2f8a-541d-4ca8-8f05-e96aafcaf0a7 · outbound

This paper cites Effective Resistances in Non-Expander Graphs.

Schreier-Coset Graph Rewiring Effective Resistances in Non-Expander Graphs

Reference 2015

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source=pdf_text observed=2026-08-01T07:18:39.851259Z digest=sha256:f1305c92af6f35b421ce147b7d054df237e9ab74bf70d672f9f962202aee7bbd

Observation 770d34a7-bb94-4f74-801a-b75044e9b8a4 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Schreier-Coset Graph Rewiring Inductive Representation Learning on Large Graphs

Reference 2017

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source=pdf_text observed=2026-08-01T07:18:40.359327Z digest=sha256:a760c647aac6757d293f07e691808b9050f3b75189202822674b40a78406ddcb

Observation 0995c730-d844-4ed1-8fd5-1bc3faacb4a4 · outbound

This paper cites Graph Convolutional Matrix Completion.

Schreier-Coset Graph Rewiring Graph Convolutional Matrix Completion

Reference 2018

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source=pdf_text observed=2026-08-01T07:18:39.743196Z digest=sha256:58151503e2d82615fd705dcca0f4810f2204605fa54af79e092f792257d680fd

Observation 4aee73d1-9969-4be9-8306-c7f353a7f6af · outbound

This paper cites FoSR: First-order spectral rewiring for addressing oversquashing in GNNs.

Schreier-Coset Graph Rewiring FoSR: First-order spectral rewiring for addressing oversquashing in GNNs

Reference 2019

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Observation ad5d2e89-3f43-4b79-a3ab-e7c7f975df31 · outbound

This paper cites Random 4-regular.

Schreier-Coset Graph Rewiring Random 4-regular

Reference 2020

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Observation 74195980-f355-4fcf-951f-7e3d9d646904 · outbound

This paper cites oversquashing.

Schreier-Coset Graph Rewiring oversquashing

Reference 2021

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source=pdf_text observed=2026-08-01T07:18:39.450676Z digest=sha256:7187566f01443352f7a05f43c10afb377e096a0149bcffaa4d22ca4c8963851a

Observation 7ea488ce-d608-4bdd-b9be-6da7779f89ca · outbound

This paper cites Semi-supervised learning (chapelle, o.

Schreier-Coset Graph Rewiring Semi-supervised learning (chapelle, o

Reference 2023

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source=pdf_text observed=2026-08-01T07:18:39.964166Z digest=sha256:28146edfbaa431fb57fd898f5d66b112c0836d88556d0a8ac8c954fcb8d6564d

Observation a360e305-2a49-4ebc-8461-1f8cbc9b4c8e · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Schreier-Coset Graph Rewiring Relational inductive biases, deep learning, and graph networks

Reference 2024

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