Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:20.547913Z
Paper Citation Record · LEDGER
A Geometric Approach to Problems in Optimization and Data Science
As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2504.16270.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact1
- verified fuzzy1
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch8
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a914bb28-572b-4f99-887a-5d3a54eabe45 · outbound
This paper cites Limit theorems for mixed-norm sequence spaces with applications to volume distribution.
A Geometric Approach to Problems in Optimization and Data Science Limit theorems for mixed-norm sequence spaces with applications to volume distribution
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.644846Z
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.
Observation 230993f3-e210-4135-8179-8101b04ea7e0 · outbound
This paper cites Concentration and regularization of random graphs.
A Geometric Approach to Problems in Optimization and Data Science Concentration and regularization of random graphs
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.621167Z
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.
Observation dc598150-40e8-49ca-8aaa-ae1f3fecfcfa · outbound
This paper cites Spectral hypergraph sparsification via chaining.
A Geometric Approach to Problems in Optimization and Data Science Spectral hypergraph sparsification via chaining
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.610218Z
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.
Observation 9b6ca058-9598-425f-8e0b-acd7f191630e · outbound
This paper cites Streaming Algorithms for Ellipsoidal Approximation of Convex Polytopes.
A Geometric Approach to Problems in Optimization and Data Science Streaming Algorithms for Ellipsoidal Approximation of Convex Polytopes
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.598778Z
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.
Observation 2162182f-3c13-433f-9363-8d20a3e18ee0 · outbound
This paper cites [JS00] William Johnson and Gideon Schechtman.
A Geometric Approach to Problems in Optimization and Data Science [JS00] William Johnson and Gideon Schechtman
Reference 204
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:17:20.909514Z
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.
Observation 87adcc76-5814-4a6c-a003-f00367db3c5a · outbound
This paper cites Spectral Hypergraph Sparsifiers of Nearly Linear Size.
A Geometric Approach to Problems in Optimization and Data Science Spectral Hypergraph Sparsifiers of Nearly Linear Size
Reference 1170
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.632572Z
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.
Observation 81acf1c5-8615-4c82-81aa-b35f5f710544 · outbound
This paper cites [Dat14] Big Data.
A Geometric Approach to Problems in Optimization and Data Science [Dat14] Big Data
Reference 2003
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:20.513671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cc06722-b2bf-4fa8-b6c0-dcba6d4febe9 · outbound
This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.
A Geometric Approach to Problems in Optimization and Data Science BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:20.519150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51155c3a-3587-42f4-8daf-a180bfae0de0 · outbound
This paper cites [GC23] XingGaoandYuCheng.Robustmatrixsensinginthesemi-randommodel.
A Geometric Approach to Problems in Optimization and Data Science [GC23] XingGaoandYuCheng.Robustmatrixsensinginthesemi-randommodel
Reference 2018
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-16T11:17:20.806684Z
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.
Observation 25d932f6-1b39-425d-8e9a-d9e8a2e4625e · outbound
This paper cites A Stochastic Newton Algorithm for Distributed Convex Optimization.
A Geometric Approach to Problems in Optimization and Data Science A Stochastic Newton Algorithm for Distributed Convex Optimization
Reference 2021
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.878068Z
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.
Observation 4f83eca0-1b01-4a7c-afce-af30327d893d · outbound
This paper cites Improved Iteration Complexities for Overconstrained $p$-Norm Regression.
A Geometric Approach to Problems in Optimization and Data Science Improved Iteration Complexities for Overconstrained $p$-Norm Regression
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:20.522094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15beeb72-97be-47fa-8c66-41a48a005c0c · outbound
This paper cites Algorithms approaching the threshold for semi-random planted clique.
A Geometric Approach to Problems in Optimization and Data Science Algorithms approaching the threshold for semi-random planted clique
Reference 2023
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T11:17:20.890617Z
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.
Observation 80e64c2a-5702-402c-9066-460ebc3aa026 · outbound
This paper cites Near-Optimal Streaming Ellipsoidal Rounding for General Convex Polytopes.
A Geometric Approach to Problems in Optimization and Data Science Near-Optimal Streaming Ellipsoidal Rounding for General Convex Polytopes
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:20.544162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66ea5029-a750-4297-81be-3a8cc0b07d71 · outbound
This paper cites Agnostic Federated Learning.
A Geometric Approach to Problems in Optimization and Data Science Agnostic Federated Learning
Reference 4625
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:20.547913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6eeda20-f524-4694-a709-149b4e9506bc · outbound
This paper cites Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff.
A Geometric Approach to Problems in Optimization and Data Science Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff
Reference 6774
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T11:17:20.901132Z
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.
Pith citing papers
No inbound Pith citation observations are available.