Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1812.09764.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T15:39:50.447896Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:59:39.625974Z
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 77f6d260-6ab2-4d96-8b70-e157a5984b1a · inbound
A Quotient Homology Theory of Representation in Neural Networks cites this paper.
A Quotient Homology Theory of Representation in Neural Networks Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T15:39:50.447896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc88f46f-175d-446a-8e2e-88ae768e1e41 · inbound
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data cites this paper.
Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:05.063555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca22721c-8ec1-4160-9a3c-c54cc0894c7d · inbound
Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension cites this paper.
Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:22:33.238566Z
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.
Observation 5df84db9-fee6-4bb2-a99f-6f5ee434394f · inbound
Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation cites this paper.
Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T21:37:04.895721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff0f1d6f-d452-47f2-bc97-ba588875cfdf · inbound
Motif-based filtrations for persistent homology: A framework for graph isomorphism and property prediction cites this paper.
Motif-based filtrations for persistent homology: A framework for graph isomorphism and property prediction Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:48:02.057487Z
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.
Observation 1ec09933-8840-4c4a-b2f7-6248d5106d66 · inbound
TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection cites this paper.
TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:26:24.521713Z
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.
Observation 3e94c990-fd98-469f-8af8-f7992c0ca549 · inbound
HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts cites this paper.
HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:55:04.784943Z
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.
Observation 652072d7-51d5-4bc8-893c-a88367280f22 · inbound
A Three Axis Evaluation Framework for Mapper Algorithms cites this paper.
A Three Axis Evaluation Framework for Mapper Algorithms Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T07:59:39.627531Z
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.