Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.12033.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:51:05.672223Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:03:04.547564Z
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 a62dbec6-b04e-4523-8a6c-3269b9783e79 · inbound
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning cites this paper.
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:51:05.672223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4c8df5e-8c21-41f7-be6b-646077eb4a1a · inbound
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations cites this paper.
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:04.252934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9fbc3ad-08c9-4147-9ad3-f432a653a8e0 · inbound
Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology -- A Review cites this paper.
Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology -- A Review Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
Reference 228
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T18:03:04.551829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.