Paper Citation Record · LEDGER

Ranking football teams via the higher-order decomposition of performance networks

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.21814.

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

pith.paper-citation-record.v1
2606.21814 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:28:26.582081Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d6f17d7-d6c7-4488-8ec0-b85f9cfc9b7b · outbound

This paper cites Fragility of chess positions: Measure, universality, and tipping points.Physical Review E, 111(1):014314, 2025.

Ranking football teams via the higher-order decomposition of performance networks Fragility of chess positions: Measure, universality, and tipping points.Physical Review E, 111(1):014314, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe48edbe-6ae1-4214-abd9-03d6670d1529 · outbound

This paper cites Safe leads and lead changes in competitive team sports.Physical Review E, 91(6):062815, 2015.

Ranking football teams via the higher-order decomposition of performance networks Safe leads and lead changes in competitive team sports.Physical Review E, 91(6):062815, 2015

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658a8dc1-267b-4d31-922f-cf1c5a41fd1f · outbound

This paper cites an unresolved cited work.

Ranking football teams via the higher-order decomposition of performance networks Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ba99a5-69a4-4a74-ba86-411369cf5c78 · outbound

This paper cites Anoma- lous diffusion and long-range correlations in the score evolution of the game of cricket.Physical Review E, 86(2):022102, 2012.

Ranking football teams via the higher-order decomposition of performance networks Anoma- lous diffusion and long-range correlations in the score evolution of the game of cricket.Physical Review E, 86(2):022102, 2012

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d07a9a-918f-4194-9434-b9574b414360 · outbound

This paper cites Simple mechanism rules the dynamics of volleyball.

Ranking football teams via the higher-order decomposition of performance networks Simple mechanism rules the dynamics of volleyball

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a097353-7062-4b1b-b0a7-476692cb5f2f · outbound

This paper cites Probabilistic model for padel games dynamics.

Ranking football teams via the higher-order decomposition of performance networks Probabilistic model for padel games dynamics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ecad05c-2a4e-473b-8c76-fbe500790750 · outbound

This paper cites Emergent complexity in the decision-makingprocessofchess players.

Ranking football teams via the higher-order decomposition of performance networks Emergent complexity in the decision-makingprocessofchess players

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d9f9eb0-5e77-4ac0-ab15-65bdc9193d5b · outbound

This paper cites On the role of chance in fencing tournaments: An agent-based approach.

Ranking football teams via the higher-order decomposition of performance networks On the role of chance in fencing tournaments: An agent-based approach

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7825f2-71d5-4fe7-bde5-bf65f7dd5a6e · outbound

This paper cites The relative age effect in under-18 basketball: Effects on perfor- mance according to playing position.PloS one, 13(7):e0200408, 2018.

Ranking football teams via the higher-order decomposition of performance networks The relative age effect in under-18 basketball: Effects on perfor- mance according to playing position.PloS one, 13(7):e0200408, 2018

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50334252-f10f-4fc5-83a1-09acb879c354 · outbound

This paper cites Using markov chains to identify player’s performance in bad- minton.

Ranking football teams via the higher-order decomposition of performance networks Using markov chains to identify player’s performance in bad- minton

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d34fff9-7964-412b-8d03-29c33969cbca · outbound

This paper cites Sports teams as complex adaptive systems: manipulating player numbers shapes behaviours during football small-sided games.

Ranking football teams via the higher-order decomposition of performance networks Sports teams as complex adaptive systems: manipulating player numbers shapes behaviours during football small-sided games

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 413d9cc3-33ce-436e-9153-cce0228bd203 · outbound

This paper cites Understanding a player’s decision-making process in team sports: a systematic review of empirical evidence.Sports, 9(5):65, 2021.

Ranking football teams via the higher-order decomposition of performance networks Understanding a player’s decision-making process in team sports: a systematic review of empirical evidence.Sports, 9(5):65, 2021

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7346d8a7-1f0b-4298-9ed6-ee7537769de7 · outbound

This paper cites Spatial and tem- poral entropies in the spanish football league: A network science per- spective.

Ranking football teams via the higher-order decomposition of performance networks Spatial and tem- poral entropies in the spanish football league: A network science per- spective

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4928e3b7-2c47-42ef-9804-f29a03328846 · outbound

This paper cites Footballplayers’strengthtrainingmethodusingimageprocessing based on machine learning.Plos one, 18(6):e0287433, 2023.

Ranking football teams via the higher-order decomposition of performance networks Footballplayers’strengthtrainingmethodusingimageprocessing based on machine learning.Plos one, 18(6):e0287433, 2023

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab3db6a-b8aa-43ab-a1fa-fdb287be5b0b · outbound

This paper cites Theory and data analysis of player and team ball possession time in football.Physical Review E, 109(1):014305, 2024.

Ranking football teams via the higher-order decomposition of performance networks Theory and data analysis of player and team ball possession time in football.Physical Review E, 109(1):014305, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 797cc3cd-d4bf-447b-8295-ee6659985648 · outbound

This paper cites Modeling ball possession dynamics in the game of football.

Ranking football teams via the higher-order decomposition of performance networks Modeling ball possession dynamics in the game of football

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

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Observation 2c81fd9c-8810-40e9-9308-b88b7f22885b · outbound

This paper cites Stochastic model for football’s collective dynamics.Physical Review E, 104(2):024110, 2021.

Ranking football teams via the higher-order decomposition of performance networks Stochastic model for football’s collective dynamics.Physical Review E, 104(2):024110, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8f3f53-0086-4d8c-bf78-a00586b71fcf · outbound

This paper cites Data-driven approach to defining football styles in major leagues.

Ranking football teams via the higher-order decomposition of performance networks Data-driven approach to defining football styles in major leagues

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245ddf8f-b75f-4e46-9513-343571839c1a · outbound

This paper cites Charac- terizing the spatial structures of competing football teams.

Ranking football teams via the higher-order decomposition of performance networks Charac- terizing the spatial structures of competing football teams

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c827ba8-3bc1-47e7-a096-69b065811d3b · outbound

This paper cites Passing networks and tactical action in football: A systematic review.

Ranking football teams via the higher-order decomposition of performance networks Passing networks and tactical action in football: A systematic review

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 142d8aa8-12d4-4d02-9ead-b9743d636da5 · outbound

This paper cites Robust- ness of football passing networks against continuous node and link re- movals.

Ranking football teams via the higher-order decomposition of performance networks Robust- ness of football passing networks against continuous node and link re- movals

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation bf28b04a-c120-435e-baed-ee023ed0a2dd · outbound

This paper cites Exploring team passing networks and player movement dynamics in youth association football.PloS one, 12(1):e0171156, 2017.

Ranking football teams via the higher-order decomposition of performance networks Exploring team passing networks and player movement dynamics in youth association football.PloS one, 12(1):e0171156, 2017

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06db5c5b-1707-4054-8155-d3c229c84859 · outbound

This paper cites Complexity emerges in measures of the marking dynamics in football games.Physical Review E, 106(4):044308, 2022.

Ranking football teams via the higher-order decomposition of performance networks Complexity emerges in measures of the marking dynamics in football games.Physical Review E, 106(4):044308, 2022

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf90175-6a69-4e68-9c35-86c31ae2876e · outbound

This paper cites Identification and optimization of high-performance passing networks in football.Physical Review E, 111(4):044313, 2025.

Ranking football teams via the higher-order decomposition of performance networks Identification and optimization of high-performance passing networks in football.Physical Review E, 111(4):044313, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86757d98-f111-4bf2-8b76-d371436deefd · outbound

This paper cites Motif analysis and pass- ing behavior in football passing networks.Chaos, Solitons & Fractals, 190:115750, 2025.

Ranking football teams via the higher-order decomposition of performance networks Motif analysis and pass- ing behavior in football passing networks.Chaos, Solitons & Fractals, 190:115750, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Unavailable: canonical work link unavailable.

Observation 06b3822a-b56d-4118-b3d6-cce70e5c3d6e · outbound

This paper cites Using a bayesian network to classify time to return to sport based on football injury epidemiological data.PloS one, 20(3):e0314184, 2025.

Ranking football teams via the higher-order decomposition of performance networks Using a bayesian network to classify time to return to sport based on football injury epidemiological data.PloS one, 20(3):e0314184, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation a81d724b-071c-48e5-b829-6b3e912d0b0e · outbound

This paper cites Rank analysis of incomplete block designs: I.

Ranking football teams via the higher-order decomposition of performance networks Rank analysis of incomplete block designs: I

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 89e18737-ea47-4005-9925-b883084204cd · outbound

This paper cites Statistical ranking and combinatorial hodge theory.Mathematical Programming, 127(1):203–244, 2011.

Ranking football teams via the higher-order decomposition of performance networks Statistical ranking and combinatorial hodge theory.Mathematical Programming, 127(1):203–244, 2011

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 08fb8ab9-9308-45c8-8e7f-6af645d5e2a8 · outbound

This paper cites an unresolved cited work.

Ranking football teams via the higher-order decomposition of performance networks Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation e9fafeda-ae3f-4269-9762-abfe9bcc2fa2 · outbound

This paper cites A public data 27 set of spatio-temporal match events in soccer competitions.Scientific data, 6(1):236, 2019.

Ranking football teams via the higher-order decomposition of performance networks A public data 27 set of spatio-temporal match events in soccer competitions.Scientific data, 6(1):236, 2019

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 86f7e263-9f2e-498f-85c9-832796558a1c · outbound

This paper cites McRobert.

Ranking football teams via the higher-order decomposition of performance networks McRobert

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 81fedb3b-b2dc-44e6-b152-ab0c5f4dbacb · outbound

This paper cites Grady and Jonathan R.

Ranking football teams via the higher-order decomposition of performance networks Grady and Jonathan R

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation 554f7505-b6ec-4688-95b9-2019a0e7e1fa · outbound

This paper cites Hodge laplacians on graphs.SIAM Review, 62(3):685– 715, 2020.

Ranking football teams via the higher-order decomposition of performance networks Hodge laplacians on graphs.SIAM Review, 62(3):685– 715, 2020

Reference 33

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Observation 06c17c8c-1e89-4028-8da9-f796a054a4d3 · outbound

This paper cites Higher-Order Networks.

Ranking football teams via the higher-order decomposition of performance networks Higher-Order Networks

Reference 34

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Observation 65b9eebd-5b7e-4798-a9c1-13c0a19e6607 · outbound

This paper cites A new measure of rank correlation.

Ranking football teams via the higher-order decomposition of performance networks A new measure of rank correlation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Observation fd8c758b-1136-42f7-b192-1fb7caa402d9 · outbound

This paper cites an unresolved cited work.

Ranking football teams via the higher-order decomposition of performance networks Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T11:28:26.582081Z

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Pith citing papers

No inbound Pith citation observations are available.