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Paper Citation Record · LEDGER

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators

As of 11 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2607.27891.

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

pith.paper-citation-record.v1
2607.27891 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:33:38.576612Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4737732d-c273-4774-b51f-3ad32ef961cc · outbound

This paper cites Predicting dynamic embedding trajectory in temporal interaction networks.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Predicting dynamic embedding trajectory in temporal interaction networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:37.751183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:37.751183Z digest=sha256:6ec12775a6121dc4d6e1d2c2f8b50909f78489a76f576a58145a7fb39d423964

Observation 572c86f7-f922-4b7b-a9d6-57bd0b10bc36 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:37.891887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:37.891887Z digest=sha256:95f81c69dc8fc0044c5ec311e66239b5b4bc61f940c7cd66a107e6a615428c72

Observation f10d81ff-daa4-4bc1-b29a-ee8c9ebf44fb · outbound

This paper cites Inductive representation learning on temporal graphs.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Inductive representation learning on temporal graphs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.029104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.029104Z digest=sha256:38e3ebda7e76f8fd68d7b471d19dc48569d2091a192b95f6c40974f45d9f8957

Observation b695c0a6-6d9d-4db7-8ed0-0aa97f67a573 · outbound

This paper cites Towards better dynamic graph learning: New architecture and unified library.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Towards better dynamic graph learning: New architecture and unified library

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.138772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.138772Z digest=sha256:bdbd96fa34f5224e7fb2035b464328fa1a119f658b82f9d4129eb31c3f959ab3

Observation d1c31c98-38a7-4674-a94d-118da0c40b33 · outbound

This paper cites Schardl, and Charles E.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Schardl, and Charles E

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.263153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.263153Z digest=sha256:b9df1a2a1929dbf4c2da410a6d9a72d1e3fa2c7eec7596a934c018ea23c0f270

Observation a1dc0397-6c77-4634-839e-f999e3ecb89c · outbound

This paper cites Learnable spectral wavelets on dynamic graphs to capture global interactions.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Learnable spectral wavelets on dynamic graphs to capture global interactions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.313142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.313142Z digest=sha256:dd0236c8c2611b4abfb51e522c4bf24d332a57d84a615a26b5db4456ea671eb8

Observation 55412864-2949-4772-a01b-e3e33a6ef596 · outbound

This paper cites Beyond spatio-temporal rep- resentations: Evolving fourier transform for temporal graphs.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Beyond spatio-temporal rep- resentations: Evolving fourier transform for temporal graphs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.391209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.391209Z digest=sha256:513b79f5e7b011d383a0fa4c0138e62fa7103fea7f40e34d8d00c92e00d60215

Observation f942b6cf-6790-44d6-8efa-7e2211df738b · outbound

This paper cites Inductive representation learning in temporal networks via causal anonymous walks.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Inductive representation learning in temporal networks via causal anonymous walks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.495169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.495169Z digest=sha256:27a52efd0c7632f1f63c3f819bdbf3971841f139fcfe88db136d7dfba8537dc6

Observation f39021a6-96f5-43da-a1f6-8a0c1fbd1185 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators Convolutional neural networks on graphs with fast localized spectral filtering

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T23:33:38.576612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:33:38.576612Z digest=sha256:2f8eba224ceb96acc1914d64b716da5ac4c710c88783f3a856619c97fe667b79

Pith citing papers

No inbound Pith citation observations are available.