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Paper Citation Record · LEDGER

Specformer: Spectral Graph Neural Networks Meet Transformers

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2303.01028.

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

pith.paper-citation-record.v1
2303.01028 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:17.583610Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:07:42.071714Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2810e68d-bb24-4bdd-b636-3e3db304d4c9 · inbound

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

Graph Positional Autoencoders as Self-supervised Learners Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:54:17.583610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:54:17.583610Z digest=sha256:80128b3ce49f38c098a9e7ec367a317ac6f3b4cb69048fca97fab219dba6e5b8

Observation 898077ce-6a64-438b-aaa4-edcf33646288 · inbound

OpenGT: A Comprehensive Benchmark For Graph Transformers cites this paper.

OpenGT: A Comprehensive Benchmark For Graph Transformers Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:17.015113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:17.015113Z digest=sha256:94315460cacc4fe80a9c8eae82472360a9ec6220b16da516674807789df55ef2

Observation 8b14beb2-b2da-45ef-8887-c32f7d75a174 · inbound

Spectral Manifold Harmonization for Graph Imbalanced Regression cites this paper.

Spectral Manifold Harmonization for Graph Imbalanced Regression Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:08.859146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:08.859146Z digest=sha256:4950e6799e8306f169d09fe07629858880c5439fba3740267e6b8d4a36d81a3a

Observation 32174239-559f-4121-9c59-b495a34f03db · inbound

S2FGL: Spatial Spectral Federated Graph Learning cites this paper.

S2FGL: Spatial Spectral Federated Graph Learning Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:24.351178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:24.351178Z digest=sha256:ff29b1d13b0a8bad6f704242b8cefc024699952eb6d1941497349150ad7cf6a3

Observation 7468a922-52cc-406a-b591-fe2e88eade72 · inbound

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression cites this paper.

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:01:33.892762Z

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.

source=arxiv_source observed=2026-05-22T13:00:19.490600Z digest=sha256:1f39957a28b020390bb55f987bb3c99c525e750f713665559dbdb62ff251c728

Observation 900869e8-6e55-4fc1-a65b-762f8b17a1f3 · inbound

Frequency-Corrupt Based Graph Self-Supervised Learning cites this paper.

Frequency-Corrupt Based Graph Self-Supervised Learning Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:32:52.061814Z

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.

source=pdf_text observed=2026-05-10T08:32:08.154085Z digest=sha256:e181b57f8465677900a034643634f14732572c17da2e2f1f4f6598281e3a662c

Observation e8bfbac5-4c04-4309-b791-085d52b25205 · inbound

Frequency-Corrupt Based Graph Self-Supervised Learning cites this paper.

Frequency-Corrupt Based Graph Self-Supervised Learning Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T16:10:59.588185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:10:59.588185Z digest=sha256:ce74d0aa06e1e5859040bc31b32443eb065642843dce2051aea738ac9ad5da53

Observation f5eaebf4-72f7-495d-bb2d-9079583e4616 · inbound

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement cites this paper.

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.610504Z

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.

source=pdf_text observed=2026-06-30T20:57:28.908553Z digest=sha256:8fb212f0038b5fac8cc993db21f832c19355436e9f4426768afd7f32382f92cd

Observation 97d04b63-bf24-411c-a8b2-158bdc0484fa · inbound

Composable Crystals: Controllable Materials Discovery via Concept Learning cites this paper.

Composable Crystals: Controllable Materials Discovery via Concept Learning Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:55:05.838408Z

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.

source=pdf_text observed=2026-06-30T21:52:24.486564Z digest=sha256:3910674feff87f18593ccf6df82731638fd64cbff4b7d839b510f32b750b5412

Observation 068612db-004a-4908-ad74-2047c5af6da1 · inbound

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision cites this paper.

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T06:43:06.062407Z

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.

source=pdf_text observed=2026-05-20T06:39:02.277629Z digest=sha256:3c866e6d1554ec08d08efcb8edbe92d38e7f48eefee621e6789f61cffe558671

Observation d2f4238d-de81-418f-a8cc-8337e5f7fc66 · inbound

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning cites this paper.

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:30:23.135390Z

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.

source=pdf_text observed=2026-05-25T05:27:30.274067Z digest=sha256:0f11cfc36efe1155e6ece094550cf22ddbfccd9b2c47699c0b86ff4e7db5d562

Observation 27512830-7702-4805-bbcb-d0f51c6228aa · 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 Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:07:42.087281Z

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.

source=pdf_text observed=2026-07-11T00:04:33.871925Z digest=sha256:584128b4d678efa16246d8796586b557d8ac01dc62834bd3d7384e427357632a

Observation 89b9b169-32c4-4e69-9a5b-c9c5f99c1f4e · inbound

Benchmarking Sheaf Neural Networks for Inductive Tasks cites this paper.

Benchmarking Sheaf Neural Networks for Inductive Tasks Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T04:52:31.527930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:52:31.527930Z digest=sha256:939becfd3ee9c2c87940533da79eb3bbb0925a7480c4c1292df20412c51ef9ee