Paper Citation Record · LEDGER

Sign and Basis Invariant Networks for Spectral Graph Representation Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2202.13013.

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

pith.paper-citation-record.v1
2202.13013 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:08:42.247083Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

25
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0136128f-b10f-47a7-adb3-76a742ecc1e6 · inbound

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning cites this paper.

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:08:42.247083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8278240d-36be-4789-9138-f40021a26115 · inbound

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection cites this paper.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:24.833923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cfdf188-8284-417d-ad4c-deb144c27e28 · inbound

Generalizable Spectral Embedding with an Application to UMAP cites this paper.

Generalizable Spectral Embedding with an Application to UMAP Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:55.295995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45de988-5cf3-4f00-a09c-3cec1d97ba6f · inbound

Chordless Structure: A Pathway to Simple and Expressive GNNs cites this paper.

Chordless Structure: A Pathway to Simple and Expressive GNNs Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:13.201599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19c27b2-18e0-40ea-843e-a88e9620839b · inbound

Graph Positional Autoencoders as Self-supervised Learners cites this paper.

Graph Positional Autoencoders as Self-supervised Learners Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:19.774771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb5d4b1-36b9-43c1-92f5-a25cde9f3e71 · inbound

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices cites this paper.

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.550197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72ff5aa6-e70e-4484-9bc8-fbe481c3cf57 · inbound

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:46:23.171156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0c3f535-3bd2-4caf-9316-70711cda3293 · inbound

On the Expressive Power of Permutation-Equivariant Weight-Space Networks cites this paper.

On the Expressive Power of Permutation-Equivariant Weight-Space Networks Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T05:57:09.614855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 250f4516-5e92-4833-8e76-414590f7861a · inbound

Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning cites this paper.

Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:21:32.267606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f72b868-5110-42f1-a89c-d1b79a85c535 · inbound

When Do Graph Foundation Models Transfer? A Data-Centric Theory cites this paper.

When Do Graph Foundation Models Transfer? A Data-Centric Theory Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:33:15.259267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f207a31a-281f-4641-8e23-ae630a3822a0 · inbound

MidSurfNet: Learnable Face Pairing and Interference Implicit Fields for Generalized Mid-surface Abstraction cites this paper.

MidSurfNet: Learnable Face Pairing and Interference Implicit Fields for Generalized Mid-surface Abstraction Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:26:23.891362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5dfbde0-c0e4-4b13-88c8-12421b4cedee · inbound

Canopy: A Heterograph Foundation Model for Metabolic Engineering cites this paper.

Canopy: A Heterograph Foundation Model for Metabolic Engineering Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-08T13:04:56.557624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f665a27f-3c79-4a5e-8c7e-4751f2680ac3 · inbound

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion cites this paper.

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:07:42.005823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b29559e7-4090-4c89-b96e-700ddcfffa65 · inbound

Distance-Preserving Embeddings in Inhomogeneous Random Graphs cites this paper.

Distance-Preserving Embeddings in Inhomogeneous Random Graphs Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Reference 176

Resolution: unresolved; no resolver link, observed 2026-07-14T00:37:04.989965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.