Pith. sign in

Paper Citation Record · LEDGER

Geometry-Aware Spiking Graph Neural Network

As of 18 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2508.06793.

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

pith.paper-citation-record.v1
2508.06793 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:39:44.375837Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T09:18:17.246863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:23:10.829265Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2476863-0122-4dbc-a062-8eaf61de6c24 · outbound

This paper cites A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.

Geometry-Aware Spiking Graph Neural Network A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks

Reference 2018

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:39:44.830745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T22:39:43.974869Z digest=sha256:751f332b45020d63cda50e9a0aeafa0fab6aa9c8b7fe3fb69d1c71a08bfbde56

Observation f9b47bd0-97ad-4802-9cef-4d1cf3018fb3 · outbound

This paper cites Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.

Geometry-Aware Spiking Graph Neural Network Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:39:44.611171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T22:39:44.212594Z digest=sha256:afba92ac12a0467def53b0077086970c4a75551ece182f3d12d2191737d83ff1

Observation 876b4c2f-5a23-47d1-ae60-4c6632a5197d · outbound

This paper cites Spiking Graph Convolutional Networks.

Geometry-Aware Spiking Graph Neural Network Spiking Graph Convolutional Networks

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:44.375837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:39:44.375837Z digest=sha256:85e023eecc02a9fdbae0595afb22266969dd6009b35eb30b28f57d72e6c16f26

Observation 27c14a64-9222-4a04-a586-cd12c4f19092 · outbound

This paper cites In Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval, 372–382.

Geometry-Aware Spiking Graph Neural Network In Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval, 372–382

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:45.080792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T22:39:44.091983Z digest=sha256:27794a63fb69493c5f2763c3e38052eca6feeddc61b503e6c9a96ce1ff0c022d

Pith citing papers

Observation a7de29e6-caf9-4e27-8bda-c379555844b0 · inbound

Dyonic Black Holes in Lorentz-Violating Gravity with a Background Kalb--Ramond Field cites this paper.

Dyonic Black Holes in Lorentz-Violating Gravity with a Background Kalb--Ramond Field Geometry-Aware Spiking Graph Neural Network

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:23:10.830732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T09:18:17.246863Z digest=sha256:f0444345b0207cc2a521538fac0920afc567ac708854a76d898e981ae913853d