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Paper Citation Record · LEDGER

Polyra Swarms: A Shape-Based Approach to Machine Learning

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2506.13217.

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

pith.paper-citation-record.v1
2506.13217 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:23.350602Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

  • verified exact12
  • verified fuzzy22
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c6937eb-037c-4916-b7f8-cc2b069662cc · outbound

This paper cites Adam, Martin Piccolrovazzi, Sebastian Eger, and Eckehard Steinbach.

Polyra Swarms: A Shape-Based Approach to Machine Learning Adam, Martin Piccolrovazzi, Sebastian Eger, and Eckehard Steinbach

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8cbd3e1-a609-486a-b315-a5256e0c239a · outbound

This paper cites Does deep learning learn to abstract? a systematic probing framework.

Polyra Swarms: A Shape-Based Approach to Machine Learning Does deep learning learn to abstract? a systematic probing framework

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 808160a6-0de7-4973-bafe-de8de23067ba · outbound

This paper cites Azzalini and A.

Polyra Swarms: A Shape-Based Approach to Machine Learning Azzalini and A

Reference 3

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1923de3d-2700-4671-a59b-44678083e288 · outbound

This paper cites Dynamic programming.

Polyra Swarms: A Shape-Based Approach to Machine Learning Dynamic programming

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c535b599-a05a-48d1-a593-1be34a297cfc · outbound

This paper cites Classification-based anomaly detection for general data.

Polyra Swarms: A Shape-Based Approach to Machine Learning Classification-based anomaly detection for general data

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T00:42:28.971056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:18.481485Z digest=sha256:3b436a11aff92b96d2e93e2c3c7bbf6f691d7f01cb0c9c10c0ea2139bd57e390

Observation 41bc1ad0-7509-4192-99ba-ddeadfae4cec · outbound

This paper cites an unresolved cited work.

Polyra Swarms: A Shape-Based Approach to Machine Learning Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-08-07T00:42:18.587061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:18.587061Z digest=sha256:21c26ce2c70cf4b286b3c1473c9cc215183802343fb168837a9ecffe45580425

Observation 8e225bdc-2f13-4c37-8b9d-8f7f346f3941 · outbound

This paper cites Analysis of explainers of black box deep neural networks for computer vision: A survey.

Polyra Swarms: A Shape-Based Approach to Machine Learning Analysis of explainers of black box deep neural networks for computer vision: A survey

Reference 7

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no resolver link, observed 2026-08-07T00:42:18.667336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:18.667336Z digest=sha256:6bad2db5f33c68453c810000e80008cafd846f2a0ce007234d2091a077019a14

Observation 5cf92172-2c57-47e4-b322-ffe55aad6c58 · outbound

This paper cites Giordano, Michele Pagano, and Teresa Pepe.

Polyra Swarms: A Shape-Based Approach to Machine Learning Giordano, Michele Pagano, and Teresa Pepe

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:18.770175Z digest=sha256:a84f25dc2e006095f8458c530d2e39ccd579ddafe2cf6a44996b10aa7e42e4b9

Observation 669c5894-8806-441d-9a99-db9c4c98a7dd · outbound

This paper cites Topology and data.

Polyra Swarms: A Shape-Based Approach to Machine Learning Topology and data

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:18.871461Z digest=sha256:648cca4a2c88131139ee2f379046be145d2dd5712eda8e0898cdfae1d0deb878

Observation f10d98a1-3546-406a-becb-7602ca52d068 · outbound

This paper cites Fast MCMC sampling algorithms on polytopes.

Polyra Swarms: A Shape-Based Approach to Machine Learning Fast MCMC sampling algorithms on polytopes

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:42:24.694825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:18.952429Z digest=sha256:001acfd1b47d783f3cb07cbb0ec615eed4b21f8bd179d570511389f9ae3f7222

Observation 088cb865-ae79-4469-b506-59c12690a0b4 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research.

Polyra Swarms: A Shape-Based Approach to Machine Learning The mnist database of handwritten digit images for machine learning research

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:19.060648Z digest=sha256:01149597abfa7d07c999a0551844457190bb2d1d3d5983ed9ec3b3dd5ba56a37

Observation f70e4aa3-c3b4-461f-a173-d8fcc13c6916 · outbound

This paper cites The Reflex Arc Concept in Psychology, volume 3.

Polyra Swarms: A Shape-Based Approach to Machine Learning The Reflex Arc Concept in Psychology, volume 3

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e897e7af-2c18-4e49-929f-4ac41d1e6125 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Polyra Swarms: A Shape-Based Approach to Machine Learning Diffusion models beat gans on image synthesis

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T00:42:28.947338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:19.246449Z digest=sha256:06e0dd7892b4f1f1ee320e076e334a8ecaa1b203ce47033d00a1b5d56ab0bdf8

Observation 84380c73-0a96-4541-95ca-8013b313f91c · outbound

This paper cites The Geometric Occam's Razor Implicit in Deep Learning.

Polyra Swarms: A Shape-Based Approach to Machine Learning The Geometric Occam's Razor Implicit in Deep Learning

Reference 14

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verified exact
local_arxiv, observed 2026-08-07T00:42:25.628425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:19.314026Z digest=sha256:9a01f68e72ad53d70d0c4d229c4e14f3c3692f4e462cb25bc3ff59f34603bedc

Observation 074c1f60-411a-4712-9674-58b281db4e5c · outbound

This paper cites Empirical comparison between autoencoders and traditional dimensionality reduction methods.

Polyra Swarms: A Shape-Based Approach to Machine Learning Empirical comparison between autoencoders and traditional dimensionality reduction methods

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:19.419260Z digest=sha256:83ba1f5f85be43fd883852821f2f0b6cd8122a80712345a2b9476809275f75bb

Observation cb16cf1f-b58f-4ba4-b64d-815daeab8085 · outbound

This paper cites A comparison of alternative tests of significance for the problem of \ m\ rankings.

Polyra Swarms: A Shape-Based Approach to Machine Learning A comparison of alternative tests of significance for the problem of \ m\ rankings

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:28.935918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:19.515719Z digest=sha256:b7d0f65e45b9d24d91ff44c1b33fd774caaeea8610753f0264f4726d3e830cd2

Observation a236e5a8-0f9c-45fb-9f04-ceab64174c93 · outbound

This paper cites Cardiovascular disease dataset, 2020.

Polyra Swarms: A Shape-Based Approach to Machine Learning Cardiovascular disease dataset, 2020

Reference 17

Resolution
verified exact
doi, observed 2026-08-07T00:42:24.355160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:19.623467Z digest=sha256:da92a2519eee3311949eb5886d6ab317e821b74a53bf60db42721196525d46b0

Observation 9294c6be-c755-4590-bb0e-3dd6d7989d01 · outbound

This paper cites Adbench: Anomaly detection benchmark.

Polyra Swarms: A Shape-Based Approach to Machine Learning Adbench: Anomaly detection benchmark

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:19.723556Z digest=sha256:27fac738cd8e40415322f91ec420c31576f085e7a0822e367e6961b7249ad583

Observation 5294b28f-0947-4e2f-9482-2e1539964ee8 · outbound

This paper cites Machine Learning with a Reject Option: A survey.

Polyra Swarms: A Shape-Based Approach to Machine Learning Machine Learning with a Reject Option: A survey

Reference 19

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Source-reported events for the cited work

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Observation aa2f0793-a8fc-4b36-bf00-8b0a47702ddd · outbound

This paper cites Deep learning with topological signatures.

Polyra Swarms: A Shape-Based Approach to Machine Learning Deep learning with topological signatures

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7bd3aea0-05c1-424e-8e6e-668f4d128ee1 · outbound

This paper cites A simple sequentially rejective multiple test procedure.

Polyra Swarms: A Shape-Based Approach to Machine Learning A simple sequentially rejective multiple test procedure

Reference 21

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source=arxiv_source observed=2026-08-07T00:42:19.976444Z digest=sha256:1130584ad2cfc31e1d7894f003d786b50b1064ed7115f25bedc3c4e0ffdb037d

Observation 3da2367c-2297-41ec-9aaa-0bec95c52962 · outbound

This paper cites Khan and Michael G.

Polyra Swarms: A Shape-Based Approach to Machine Learning Khan and Michael G

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 12226e6c-ca41-4d7c-83a7-3ed74f6b9c9c · outbound

This paper cites an unresolved cited work.

Polyra Swarms: A Shape-Based Approach to Machine Learning Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-07T00:42:20.123348Z digest=sha256:bc32eb09691dd044925ca9aa307a7206ae5f26d410aac7f83091a24e2e4d5668

Observation 7b527dcc-3bb0-443f-8dae-c5c985d3207f · outbound

This paper cites The self-organizing map.

Polyra Swarms: A Shape-Based Approach to Machine Learning The self-organizing map

Reference 24

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source=arxiv_source observed=2026-08-07T00:42:20.200957Z digest=sha256:335aa448b6674a1d93938c4c7251f0588f5b9d84e0d1f939f6ed9638a6c14381

Observation 29a0a69d-4610-4f7d-9451-743ebbfd1dea · outbound

This paper cites Siegelmann.

Polyra Swarms: A Shape-Based Approach to Machine Learning Siegelmann

Reference 25

Resolution
verified exact
doi, observed 2026-08-07T00:42:24.208075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3ab0b6ba-1ba0-4f74-841d-5a5f0a58ea38 · outbound

This paper cites On diffusion modeling for anomaly detection.

Polyra Swarms: A Shape-Based Approach to Machine Learning On diffusion modeling for anomaly detection

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e1178acc-8839-466b-9ab4-1f136d63f62e · outbound

This paper cites Mitchell.

Polyra Swarms: A Shape-Based Approach to Machine Learning Mitchell

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1b9caf68-3be9-4faa-af37-e9b2711e2f90 · outbound

This paper cites Meta-survey on outlier and anomaly detection.

Polyra Swarms: A Shape-Based Approach to Machine Learning Meta-survey on outlier and anomaly detection

Reference 28

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Observation aa73d1dc-1779-40c1-b390-408b47330532 · outbound

This paper cites Pardalos.

Polyra Swarms: A Shape-Based Approach to Machine Learning Pardalos

Reference 29

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5ac9af51-cee3-4a03-9568-f6d77a78757b · outbound

This paper cites Kepler’s goat herd: An exact solution to kepler’s equation for elliptical orbits.

Polyra Swarms: A Shape-Based Approach to Machine Learning Kepler’s goat herd: An exact solution to kepler’s equation for elliptical orbits

Reference 30

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verified exact
doi, observed 2026-08-07T00:42:23.884542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 670a4645-c5e8-4ed3-890a-59bd55007edc · outbound

This paper cites Functionalism as a philosophical theory of the cognitive sciences.

Polyra Swarms: A Shape-Based Approach to Machine Learning Functionalism as a philosophical theory of the cognitive sciences

Reference 31

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doi, observed 2026-08-07T00:42:23.698256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:20.815825Z digest=sha256:c265d98a724384ce9d9619f9657c8c35c00de9fd74c367a7081b4d47688ae36f

Observation 1d0329d9-4ff8-46e5-8ec9-b545f201d0b6 · outbound

This paper cites Interior Point Methods for Nonlinear Optimization, pages 215--276.

Polyra Swarms: A Shape-Based Approach to Machine Learning Interior Point Methods for Nonlinear Optimization, pages 215--276

Reference 32

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doi, observed 2026-08-07T00:42:23.533147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:20.920775Z digest=sha256:58025780908d3651b52d28e4b7f4cebbf9ef8999edd9f77d781d1a12a6ec453a

Observation 358561e7-0518-448b-809f-4078168980d0 · outbound

This paper cites Neural Transformation Learning for Deep Anomaly Detection Beyond Images.

Polyra Swarms: A Shape-Based Approach to Machine Learning Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Reference 33

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verified exact
local_arxiv, observed 2026-08-07T00:42:25.230572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:21.028639Z digest=sha256:51d9ffc9a4c3d7ec01bcf0db8f389e84a63dc812b4de3717714d073fd8842141

Observation 893e7baf-a1a1-4ee3-87dd-1029fb074af0 · outbound

This paper cites Ross Quinlan.

Polyra Swarms: A Shape-Based Approach to Machine Learning Ross Quinlan

Reference 34

Resolution
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raw_fallback, observed 2026-08-07T00:42:28.352203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:21.111736Z digest=sha256:a4cf326501620e24e10cbe90aecefc6c6d532fa81f17156f584a1533931c6fc3

Observation 91f9a584-ea7a-493a-b7bf-09bd86b37e4a · outbound

This paper cites Occam s razor.

Polyra Swarms: A Shape-Based Approach to Machine Learning Occam s razor

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:28.077211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:21.209877Z digest=sha256:ca0f3040e0b79182125508ee0acaf41e5dc048da89e5c8cb15bcd510dce6ced7

Observation e7c01aca-372c-4f6d-9887-e26d598f5476 · outbound

This paper cites Variational inference with normalizing flows.

Polyra Swarms: A Shape-Based Approach to Machine Learning Variational inference with normalizing flows

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:21.307477Z digest=sha256:192db1cc09fa353301d7a079715e4b68f3055581f62ecb2fd29e97dbc04d4a32

Observation d1136257-1059-4b98-80fd-3be9b2ef0fa2 · outbound

This paper cites The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, volume 65.

Polyra Swarms: A Shape-Based Approach to Machine Learning The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, volume 65

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:21.477975Z digest=sha256:49e6aa0c851eb22f6d651208e9cc4b54847b55025f453de5b9b6e9d9e3f82655

Observation a060d003-a11c-48ea-ad7d-34e5b1ab2cea · outbound

This paper cites Deep one-class classification.

Polyra Swarms: A Shape-Based Approach to Machine Learning Deep one-class classification

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:27.819590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:21.663732Z digest=sha256:df258d6b49dba45cdd6c1640b3660a9059b112522d2919921de9c2c5cc13813f

Observation 09283084-1759-4588-af52-15d9b3f42df2 · outbound

This paper cites Deep one-class classification.

Polyra Swarms: A Shape-Based Approach to Machine Learning Deep one-class classification

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:27.611107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:21.838210Z digest=sha256:3a27ac1ef347e93fb112fd93d7e8fa82e31bbd33f88693c89be66e9590bc8baa

Observation 29be52b2-4e07-477e-9b80-c3425e1490a3 · outbound

This paper cites Kauffmann, Robert A.

Polyra Swarms: A Shape-Based Approach to Machine Learning Kauffmann, Robert A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:27.197533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:22.049909Z digest=sha256:99cca7b9ff1f9c8a4b9c8104c9c7563a7d3b1bc5bf578b2ce65c22318a57d2ec

Observation e4c71e56-bebd-4bdc-9524-6d7dd7c6d217 · outbound

This paper cites Titchener.

Polyra Swarms: A Shape-Based Approach to Machine Learning Titchener

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:27.009313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:22.224423Z digest=sha256:94059bddedf135db84f682106fdc244336fa8a6b272f3b6ea92d7a09d423279a

Observation 332b911d-40c3-40a7-85fc-b57ad4cf6441 · outbound

This paper cites an unresolved cited work.

Polyra Swarms: A Shape-Based Approach to Machine Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:42:26.837682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:22.344867Z digest=sha256:e8d439793ac32e727085bc950ef99f970451ece1709c7272b801ceb0635dc0ee

Observation d86da976-d9d3-4480-8601-a181ba62f65b · outbound

This paper cites Individual comparisons by ranking methods.

Polyra Swarms: A Shape-Based Approach to Machine Learning Individual comparisons by ranking methods

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:26.686497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:22.481239Z digest=sha256:125e3474aa2a8230498f7808926fd74ac3b4a4cfb6f0661d30134f6d808f9e09

Observation b3ce90c8-0ac8-46e3-99ac-f62564812da9 · outbound

This paper cites an unresolved cited work.

Polyra Swarms: A Shape-Based Approach to Machine Learning Unresolved cited work

Reference 44

Resolution
verified exact
raw_fallback, observed 2026-08-07T00:42:25.113684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:22.603355Z digest=sha256:6b88510a19f0a76b06a3842c80a722595229dc4af29c6ba7dd0f3b9b7ce0f41d

Observation 2da8d29c-7e79-47d0-978a-d059cc136929 · outbound

This paper cites an unresolved cited work.

Polyra Swarms: A Shape-Based Approach to Machine Learning Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:22.766472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:22.766472Z digest=sha256:8e172c3e81b3bfc15a4c83a5ce835863d9172ca0a285df6a0253329d9c157e89

Observation 9ed0edbe-faeb-440b-82fa-6ec1c4f7c909 · outbound

This paper cites Zelle and Raymond J.

Polyra Swarms: A Shape-Based Approach to Machine Learning Zelle and Raymond J

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:26.572140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:22.892834Z digest=sha256:6d7d715f69567bf6ea8ba6fbe1409ececbe2e7093d47bbc2f5cef34b63744923

Observation 1adac9fe-d4e0-4211-aa4e-86625cd77f93 · outbound

This paper cites Pyod: A python toolbox for scalable outlier detection.

Polyra Swarms: A Shape-Based Approach to Machine Learning Pyod: A python toolbox for scalable outlier detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:26.439469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:23.051027Z digest=sha256:fa1fc3da0b809555ee2a2c177aefc03d70f885db970ed9d8e8469d0436c83ed0

Observation 5dc33720-5b4a-4096-8a87-3cfa49fcae04 · outbound

This paper cites Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists.

Polyra Swarms: A Shape-Based Approach to Machine Learning Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:26.304241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:23.182139Z digest=sha256:45962916acdef04e527bcce97fd16d9ed79342ee0912125ff1f84293041d55d9

Observation 0c76a9c0-1b08-4299-8045-8b7f1aa363f3 · outbound

This paper cites Campello, and J\" o rg Sander.

Polyra Swarms: A Shape-Based Approach to Machine Learning Campello, and J\" o rg Sander

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:23.273053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:23.273053Z digest=sha256:0f0879eb97bc93e2ef30be30f6f57252770978f10a6f38fefa07a5141fbc3bad

Observation 422bbf1b-25b8-4904-85ce-f170aedc95b4 · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection.

Polyra Swarms: A Shape-Based Approach to Machine Learning Deep autoencoding gaussian mixture model for unsupervised anomaly detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:26.159231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:42:23.350602Z digest=sha256:9c94cc2b66db012a7f04cd605943be52e9c82bf6b767a452d5bc494645e76113

Pith citing papers

No inbound Pith citation observations are available.