Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1710.04019.
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 2026-08-06T23:12:54.528240Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T19:27:19.459400Z
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 22086e8e-994a-4bf9-9b0d-5fde0f6db52a · inbound
Simplex2Vec embeddings for community detection in simplicial complexes cites this paper.
Simplex2Vec embeddings for community detection in simplicial complexes An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T18:36:07.955329Z
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 a618a91f-938c-4e8c-b178-61d85f9ec52c · inbound
Ontology Neural Network and ORTSF: A Framework for Topological Reasoning and Delay-Robust Control cites this paper.
Ontology Neural Network and ORTSF: A Framework for Topological Reasoning and Delay-Robust Control An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:54.528240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 135c2ffd-cf8e-4314-bcc3-6e1193f26ec4 · 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 An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:05.043254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9b90894-4748-4cb0-a978-d86cd4d636f8 · inbound
Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology cites this paper.
Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:13:47.715592Z
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 72f7b813-4537-4b9e-9ecd-0244c0edad45 · inbound
Scale-dependent Temporal Signatures of Arboviral Transmission in Urban Environments cites this paper.
Scale-dependent Temporal Signatures of Arboviral Transmission in Urban Environments An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:05:59.271420Z
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 2f172c36-a339-4970-be0d-0a022c331803 · inbound
A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.
A renormalization-group inspired lattice-based framework for piecewise generalized linear models An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:31:07.672034Z
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 6819f3ca-f016-4f78-9943-4d3dbe804b2e · inbound
Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization cites this paper.
Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T23:37:52.633445Z
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 73a5b07c-67ed-4584-844b-251530311082 · inbound
Power Grid Topology Control cites this paper.
Power Grid Topology Control An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 92
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T19:27:19.460748Z
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 071a7f04-4c6c-4ba4-8760-ed3a8b2c0d44 · inbound
Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.
Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Reference 185
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T04:39:47.514463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.