Paper Citation Record · LEDGER

Using predictive multiplicity to measure individual performance within the AI Act

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2602.11944.

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

pith.paper-citation-record.v1
2602.11944 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:00:05.874622Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

48 of 48 outbound references displayed

verified exact0
verified fuzzy0
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3086f071-e305-490b-bd2b-b5d64653a54b · outbound

This paper cites Allen, R.

Using predictive multiplicity to measure individual performance within the AI Act Allen, R

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:00.134142Z

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Unavailable: canonical work link unavailable.

Observation 731d5d96-90b2-4ea5-a585-974c0f6bc1fe · outbound

This paper cites Almada and N.

Using predictive multiplicity to measure individual performance within the AI Act Almada and N

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:00.336476Z

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Observation 8b405b03-10c5-4a11-b33d-84aac67ed833 · outbound

This paper cites Angwin, J.

Using predictive multiplicity to measure individual performance within the AI Act Angwin, J

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:00.567198Z

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Observation 0b81a640-2cd2-48b2-9664-eef7c5f8aa11 · outbound

This paper cites Black, M.

Using predictive multiplicity to measure individual performance within the AI Act Black, M

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:00.702185Z

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Observation 755ba866-75ff-4d45-bc69-445d20c5b177 · outbound

This paper cites The Legal Duty to Search for Less Discriminatory Algorithms.

Using predictive multiplicity to measure individual performance within the AI Act The Legal Duty to Search for Less Discriminatory Algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:00.843633Z

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Observation 6b83f9ae-6df6-46d9-9c26-7120cd5a2884 · outbound

This paper cites Boner, H.

Using predictive multiplicity to measure individual performance within the AI Act Boner, H

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:00.991361Z

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Observation c17916f1-4938-4548-ab03-5462ee5e0fad · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.163329Z

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Observation 812b2532-095b-4883-b106-0cac6100120a · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.324168Z

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Observation 00229702-13f2-431b-bca2-92b2d2b89e2b · outbound

This paper cites Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verification.

Using predictive multiplicity to measure individual performance within the AI Act Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.435093Z

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Observation ea16a481-07dc-4fd1-afd3-ce1480d43c12 · outbound

This paper cites CEN/CLC/JTC 21 Work Programme.https: //standards.cencenelec.eu/ords/fp=205:22:::::FSP_ORG_ID,FSP_LANG_ID: 2916257,25&cs=114251C6C0B684FBBC069923513BF6348, 2025.

Using predictive multiplicity to measure individual performance within the AI Act CEN/CLC/JTC 21 Work Programme.https: //standards.cencenelec.eu/ords/fp=205:22:::::FSP_ORG_ID,FSP_LANG_ID: 2916257,25&cs=114251C6C0B684FBBC069923513BF6348, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.662799Z

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Observation 1daeb880-7594-487a-b1eb-8e52f32b7da5 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.783539Z

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Observation db05f8ba-1bdf-4d15-88b9-fa771d178a1c · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.891189Z

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Observation ec16726f-2816-49f9-b486-b1752a0ef737 · outbound

This paper cites D’Amour, K.

Using predictive multiplicity to measure individual performance within the AI Act D’Amour, K

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:01.950966Z

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Observation 88e4af03-db74-4c74-b4ff-d6b41e9d8188 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.121444Z

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Observation 14454b78-33e4-443d-96b1-a0606527220d · outbound

This paper cites White paper on artificial intelligence – A European ap- proach to excellence and trust.https://eur-lex.europa.eu/legal-content/EN/ TXT/?uri=celex:52020DC0065, 2020.

Using predictive multiplicity to measure individual performance within the AI Act White paper on artificial intelligence – A European ap- proach to excellence and trust.https://eur-lex.europa.eu/legal-content/EN/ TXT/?uri=celex:52020DC0065, 2020

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.236903Z

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Observation 3c4322ee-03a9-429a-9048-81641b84c121 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.344739Z

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Observation 5836beab-65a7-4dc7-b727-6daa8708b47b · outbound

This paper cites The ‘Blue Guide’ on the implementation of EU prod- uct rules 2022.https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:C: 2022:247:TOC, 2022.

Using predictive multiplicity to measure individual performance within the AI Act The ‘Blue Guide’ on the implementation of EU prod- uct rules 2022.https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:C: 2022:247:TOC, 2022

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.396664Z

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Observation 4b95e586-b93e-426c-96d0-e156978ce023 · outbound

This paper cites C(2023)3215 – Standardisation request M/593.https://ec.

Using predictive multiplicity to measure individual performance within the AI Act C(2023)3215 – Standardisation request M/593.https://ec

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.502645Z

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Observation 7e5b7503-d604-44a6-a8b4-8b7df3e31fdf · outbound

This paper cites C(2025)3871 – Standardisation request M/613.https://ec.

Using predictive multiplicity to measure individual performance within the AI Act C(2025)3871 – Standardisation request M/613.https://ec

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.657214Z

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Observation 61b79df8-02d6-4238-a327-71669a06bf67 · outbound

This paper cites New legislative framework.https: //single-market-economy.ec.europa.eu/single-market/goods/ new-legislative-framework_en, 2025.

Using predictive multiplicity to measure individual performance within the AI Act New legislative framework.https: //single-market-economy.ec.europa.eu/single-market/goods/ new-legislative-framework_en, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.774715Z

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Observation 99980bf8-f9f5-4f71-bca9-9da5d420a3e9 · outbound

This paper cites Fisher, C.

Using predictive multiplicity to measure individual performance within the AI Act Fisher, C

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:02.906380Z

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Observation 25bb2061-5600-45d3-a2e7-a5769b82200a · outbound

This paper cites Ganesh, A.

Using predictive multiplicity to measure individual performance within the AI Act Ganesh, A

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.038993Z

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Observation 5d983e85-15c5-4e4f-aae6-650229079c23 · outbound

This paper cites Observational Multiplicity.

Using predictive multiplicity to measure individual performance within the AI Act Observational Multiplicity

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.122726Z

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Observation b15a6a50-037d-456a-b407-1ed6c91a75d0 · outbound

This paper cites Gerdemann and M.

Using predictive multiplicity to measure individual performance within the AI Act Gerdemann and M

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.200070Z

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Observation ed5422a8-50b5-4e4e-8ba7-b0d4af31c571 · outbound

This paper cites Gorywoda.

Using predictive multiplicity to measure individual performance within the AI Act Gorywoda

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.265522Z

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Observation ebbb16ce-0d33-47ae-b52b-80275784ef3d · outbound

This paper cites Gur-Arieh and C.

Using predictive multiplicity to measure individual performance within the AI Act Gur-Arieh and C

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.316813Z

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Observation d25c938b-5ea3-4242-a102-af904a42e3ea · outbound

This paper cites Ethics guidelines for trustworthy AI.https://digital-strategy.ec.europa.eu/en/library/ ethics-guidelines-trustworthy-ai, 2019.

Using predictive multiplicity to measure individual performance within the AI Act Ethics guidelines for trustworthy AI.https://digital-strategy.ec.europa.eu/en/library/ ethics-guidelines-trustworthy-ai, 2019

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.493962Z

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Observation 9d341f76-b057-49d7-90c6-c3d77628d50e · outbound

This paper cites Hsu and F.

Using predictive multiplicity to measure individual performance within the AI Act Hsu and F

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.601683Z

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Observation 83d70f30-f434-40aa-a96f-a8a300633991 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.791786Z

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Observation 552d0003-8a72-49dc-8a14-f286a634fc4c · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:03.971979Z

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Observation ee09194d-498e-4a8f-8593-5a4c0cb0c157 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:04.097884Z

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Observation 34f1abb1-5e3e-419c-b025-d9e950b8e951 · outbound

This paper cites Kilian, L.

Using predictive multiplicity to measure individual performance within the AI Act Kilian, L

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:04.282549Z

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Observation 5b9f1cf7-43fe-4fd8-a61a-b79ff6e52b1b · outbound

This paper cites Kirschke-Biller and A.

Using predictive multiplicity to measure individual performance within the AI Act Kirschke-Biller and A

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:04.431071Z

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Observation d3f22d1e-689d-442f-b647-2efd16b5d6a4 · outbound

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Using predictive multiplicity to measure individual performance within the AI Act Kulynych, H

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:04.567847Z

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Observation 105fdf84-c72a-4a6f-83cf-2d9b5fb29648 · outbound

This paper cites Laufer, M.

Using predictive multiplicity to measure individual performance within the AI Act Laufer, M

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:04.666083Z

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Observation 06d25d18-e463-4308-a892-295eb25e745e · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 36

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Observation e50c5b30-fca5-483d-b39d-0cc44b91b1f3 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 37

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Observation 75f112f1-74cd-4622-a232-47765748aa35 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 38

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Observation c773541a-4e23-41e2-8a12-32cecd02ad6c · outbound

This paper cites Nolte, M.

Using predictive multiplicity to measure individual performance within the AI Act Nolte, M

Reference 39

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Observation c1c8896c-393a-4a62-8859-7ae663ba5842 · outbound

This paper cites Pouget, K.

Using predictive multiplicity to measure individual performance within the AI Act Pouget, K

Reference 40

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Observation 29a393b4-52b2-4350-b2f1-9dc142685cc9 · outbound

This paper cites Rudin, C.

Using predictive multiplicity to measure individual performance within the AI Act Rudin, C

Reference 41

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Observation 08e62ee5-69bd-4d13-9893-febc71ee8393 · outbound

This paper cites Semenova, C.

Using predictive multiplicity to measure individual performance within the AI Act Semenova, C

Reference 42

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Observation 6ea66857-8694-485b-9801-f3d5f3367e2b · outbound

This paper cites Shalev-Shwartz and S.

Using predictive multiplicity to measure individual performance within the AI Act Shalev-Shwartz and S

Reference 43

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Observation f89e9bca-db66-47a1-9afc-60fb74ece2fa · outbound

This paper cites Suresh and J.

Using predictive multiplicity to measure individual performance within the AI Act Suresh and J

Reference 44

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Observation c8872ed2-03a0-4496-bc04-045022915889 · outbound

This paper cites Review into bias in al- gorithmic decision-making.https://www.gov.uk/government/publications/ cdei-publishes-review-into-bias-in-algorithmic-decision-making, 2020.

Using predictive multiplicity to measure individual performance within the AI Act Review into bias in al- gorithmic decision-making.https://www.gov.uk/government/publications/ cdei-publishes-review-into-bias-in-algorithmic-decision-making, 2020

Reference 45

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Observation 6103f4ec-d9a7-4013-a888-8426533fb2d3 · outbound

This paper cites Watson-Daniels, D.

Using predictive multiplicity to measure individual performance within the AI Act Watson-Daniels, D

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T00:00:05.746243Z

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Observation 150003cc-5fcb-47c0-9f0e-4bc3c5116283 · outbound

This paper cites an unresolved cited work.

Using predictive multiplicity to measure individual performance within the AI Act Unresolved cited work

Reference 47

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Observation 312079b5-6ddd-4dc1-b286-44f20a3b3283 · outbound

This paper cites 2018" horizon=.

Using predictive multiplicity to measure individual performance within the AI Act 2018" horizon=

Reference 48

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Pith citing papers

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