Paper Citation Record · LEDGER

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2508.18052.

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

pith.paper-citation-record.v1
2508.18052 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:07:21.637122Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

11 of 11 outbound references displayed

verified exact0
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65babbfa-b4c2-4654-8113-2a5ae34fe7db · outbound

This paper cites In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=lxHgXYN4bwl.

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=lxHgXYN4bwl

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.833071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33c58a4f-7c57-4740-8602-c4fe99581214 · outbound

This paper cites In: Topological, Algebraic and Geometric Learning Workshops 2022.

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks In: Topological, Algebraic and Geometric Learning Workshops 2022

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.817397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfd87126-773b-4565-8f7e-5fa402283923 · outbound

This paper cites Neural Networks173, 106213 (2024).

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks Neural Networks173, 106213 (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.801159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed53e976-d246-48cd-b970-047cc67d3adf · outbound

This paper cites On the approximation capability of GNNs in node classification/regression tasks.

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks On the approximation capability of GNNs in node classification/regression tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T17:07:21.601278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68bf6ea4-50d0-4fdc-9928-4ebfca3fcc9b · outbound

This paper cites In: 2015 30th annual ACM/IEEE symposium on logic in computer science.

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks In: 2015 30th annual ACM/IEEE symposium on logic in computer science

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.784611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66787ea4-7686-49aa-ba4b-71e1ecdebac6 · outbound

This paper cites Physical Chemistry Chemical Physics 22(45), 26478–26486 (2020).

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks Physical Chemistry Chemical Physics 22(45), 26478–26486 (2020)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.769167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c77225e-cdfe-4218-80d3-c67c1b9348a1 · outbound

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

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T17:07:21.617750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 237ea73f-92e7-4300-91dd-bdde8fd0cea7 · outbound

This paper cites IEEE Transactions on Neural Networks 20(1), 81–102 (2008).

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks IEEE Transactions on Neural Networks 20(1), 81–102 (2008)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.753763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af768bfb-2348-4c0d-a7cc-d10ab53ea888 · outbound

This paper cites iEEE Access9, 79143– 79168 (2021).

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks iEEE Access9, 79143– 79168 (2021)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.737342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80462aaf-ee66-428f-a5e1-0b349311d95c · outbound

This paper cites In: 7th International Conference on Learning Representa- tions, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks In: 7th International Conference on Learning Representa- tions, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:07:21.721685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62123336-2a55-4078-b82c-0f29f62e3cd9 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks How Powerful are Graph Neural Networks?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:07:21.637122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.