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Paper Citation Record · LEDGER

Specformer: Spectral Graph Neural Networks Meet Transformers

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:52:31.527930Z

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 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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-22T13:00:19.490600Z digest=sha256:32d030c86433a3292afb6273fbc9b845756d7bdb7595cd37a40fb4b39da2b767

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:32:08.154085Z digest=sha256:8c27a3b68e66c9372e3d32be101f51502411d2b545f33411a595202364519bab

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=sha256:7d0082c9c93780a98b95ed4e1d05f10c17764643305893c5d69a610006f5f3a8

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T20:57:28.908553Z digest=sha256:001d037cc57a4bf7ef2888bc3f863938336adf536b1768fa0b952749d1ad86c9

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T21:52:24.486564Z digest=sha256:ea6a831f7ba686f2efb5f9756eb46848de567bde55256218f02a2a6a987ec140

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T06:39:02.277629Z digest=sha256:2b57d84a4426e7de28b5a494b6f1bf4c481327f15ae9337280523d19b8678aea

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T05:27:30.274067Z digest=sha256:2d2502612fc299e980f3ae7c70cccaf63dba03da71d09e599ba6800c02ca97f7

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T00:04:33.871925Z digest=sha256:aaf253ab39b07d8a7deedb288cd709b5d47946c4dd058293696b3fad2298698a

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:ba57df6d5ab76022051b61a11d1933ab5641dba66d406890549194f5119e3111