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Paper Citation Record · LEDGER

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.04082.

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

pith.paper-citation-record.v1
2309.04082 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:15:14.554148Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T21:16:34.189991Z

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 ec75c617-7719-4489-b793-0eef44da4777 · inbound

Spectro-Riemannian Graph Neural Networks cites this paper.

Spectro-Riemannian Graph Neural Networks Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T19:15:14.554148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:15:14.554148Z digest=sha256:9ce73a7bac811c56f2b584d2b3855262abdc700291f63326450c88b8dc27554f

Observation 9828adae-cbc2-49c2-af99-6a04c7196935 · inbound

Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT) cites this paper.

Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT) Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T19:49:52.865703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:49:52.865703Z digest=sha256:ec6e2fba3f44fd36bbd2a1ce1d1265f01fc4bd5102649bdc7482641395a876ea

Observation 449b3631-7e06-47b9-9c2f-0de3005be198 · inbound

Geometric Machine Learning on EEG Signals cites this paper.

Geometric Machine Learning on EEG Signals Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T19:48:59.121473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:48:59.121473Z digest=sha256:9bf15284cba1adce332d3145a5ace2ddcc2ca1e568b0474b6b13c4895f9f14e4

Observation 9977efe5-e23a-49a1-a64f-aa3ea99d5ae6 · inbound

HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection cites this paper.

HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T10:09:23.698731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:09:23.698731Z digest=sha256:e202682f41e2a2702f996ead9bded31753f08a5c3b6499ef436ae009d09b4e32

Observation 314b9f74-df73-4bbf-bb9b-0aa627a4e478 · inbound

Riemannian Geometry for Pre-trained Language Model Embeddings cites this paper.

Riemannian Geometry for Pre-trained Language Model Embeddings Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-09T21:16:34.191429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-09T21:11:02.461038Z digest=sha256:3e39ae09cae3f2f7069040b32b3ec3437ba3bf64a27f29b88dc8646e21d1b959