Paper Citation Record · LEDGER

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)

As of 22 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 3 inbound Pith citation observations for arXiv:2504.17023.

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

pith.paper-citation-record.v1
2504.17023 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:15.555465Z

measured 94 of 94 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:34:11.472961Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T15:06:17.993916Z

Reference resolution

91 of 91 outbound references displayed

verified exact14
verified fuzzy4
unresolved69
parse uncertain0
malformed identifier2
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8a13d77-d6db-4489-927a-ffd9d8bd4dd8 · outbound

This paper cites Lim, and Mohan Kankanhalli.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Lim, and Mohan Kankanhalli

Reference 1

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Source-reported events for the cited work

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Observation 20444653-200a-452a-af5b-f29702350e0c · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2288fe09-d815-4385-8bc0-a6ee825e7bcf · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-16T10:54:15.895791Z

Source-reported events for the cited work

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Observation bf3fb9e9-08b2-475d-882f-520c61a812e9 · outbound

This paper cites Allen, Dragos Iliescu, and Samuel Greiff.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Allen, Dragos Iliescu, and Samuel Greiff

Reference 4

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Source-reported events for the cited work

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Observation 20917631-536e-40f8-8683-5727796c69f8 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation 735387a6-1679-4caf-8ed1-a229270662fe · outbound

This paper cites Jaakkola.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Jaakkola

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:15.229179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d3de1c-0e82-49a3-a4b1-495f2c67e4f3 · outbound

This paper cites Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay B.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay B

Reference 7

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Source-reported events for the cited work

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Observation 524b057c-47a5-42f6-8a2a-76516a19b4aa · outbound

This paper cites One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:15.237117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74480778-8c67-49c4-a8e7-66e3ef8e0165 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143da0ba-2e60-4081-a8c3-268dfc29324c · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation eaff8501-6c17-43cd-8bd8-ee6b4781a542 · outbound

This paper cites Eagan, and Winston Maxwell.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Eagan, and Winston Maxwell

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:54:15.249602Z

Source-reported events for the cited work

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Observation 5fefa07f-8fa5-4356-91dd-012f3623668c · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 76e0b5ea-95b5-4d6c-8f7b-82432236df7c · outbound

This paper cites Boggust, Harini Suresh, Hendrik Strobelt, John V.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Boggust, Harini Suresh, Hendrik Strobelt, John V

Reference 13

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Source-reported events for the cited work

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Observation d795e64c-500d-4c59-86f9-d4a1fe4d76c4 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 637799c3-49c6-412c-a818-7e1c4592b197 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0657d840-724a-4d69-8c43-7006bb902144 · outbound

This paper cites Carvalho, Eduardo M.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Carvalho, Eduardo M

Reference 16

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Source-reported events for the cited work

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Observation b2a772e9-b68f-4ec8-a678-1e26fd8a074c · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation dc115922-792c-415c-ac8a-cabcba290304 · outbound

This paper cites What Makes a Good Explanation?: A Harmonized View of Properties of Explanations.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) What Makes a Good Explanation?: A Harmonized View of Properties of Explanations

Reference 18

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Observation 260775ec-2ac7-4344-9417-2064a46bc306 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 31b37349-13c8-4913-a15a-35f261b9002a · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 20

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Observation 54e7009e-d470-49ce-b4e3-a5803bc55998 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 21

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Observation b6392437-1375-4779-93da-e10cf6488871 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 519342e5-d273-4417-9877-1c73fceb10a1 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Towards A Rigorous Science of Interpretable Machine Learning

Reference 23

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 24

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Observation 6227364b-2192-4ed4-931d-7c9c34e845d6 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 25

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Observation 7e023299-3d9b-41ba-b289-804495a71b2d · outbound

This paper cites Explainable AI for Natural Adversarial Images.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Explainable AI for Natural Adversarial Images

Reference 26

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 27

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 28

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 29

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 30

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Observation 2aa390b8-2ad5-495d-95cb-1c156d8c7b28 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 32

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Metrics for Explainable AI: Challenges and Prospects

Reference 35

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This paper cites Hoffman, Shane T.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Hoffman, Shane T

Reference 36

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Ihongbe, Shereen Fouad, Taha F

Reference 37

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Observation 363f110a-4b30-4d87-9fa4-a765abd850ff · outbound

This paper cites Leiva, Hamed Rezazadegan Tavakoli, Paul R.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Leiva, Hamed Rezazadegan Tavakoli, Paul R

Reference 38

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Responsibility: An Example-based Explainable AI approach via Training Process Inspection

Reference 40

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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This paper cites Lim, Anind K.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Lim, Anind K

Reference 50

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Mayer, James H

Reference 52

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Observation f04f4d90-8f25-45ae-82e0-7290db5b338b · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

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Reference 57

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Reference 58

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Reference 59

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Reference 60

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) On quantitative aspects of model interpretability

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Reference 62

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Reference 63

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Reference 64

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Reference 65

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This paper cites an unresolved cited work.

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Reference 66

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This paper cites an unresolved cited work.

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Reference 67

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Reference 68

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This paper cites an unresolved cited work.

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Reference 69

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Why Should I Trust You?

Reference 70

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unhelkar, Tina Seidel, Gjergji Kasneci, and Enkelejda Kasneci

Reference 71

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Reference 72

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Berg, and Li Fei-Fei

Reference 73

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Reference 74

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 75

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 76

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 77

Resolution: verified exact; doi, observed 2026-08-16T10:54:15.636950Z

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Observation 6bfe92fb-065d-451d-8c9e-5624c8c7e0d8 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 78

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 79

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Striving for Simplicity: The All Convolutional Net

Reference 80

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Thielsch, Sarah M

Reference 81

Resolution: verified exact; doi, observed 2026-08-16T10:54:15.617730Z

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Observation 9969dea7-bb65-4afc-bffa-3d5f3d5d030a · outbound

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 82

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Observation d47239fc-dce8-4961-8017-abc7044068bd · outbound

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 83

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Inouye, and Pradeep K

Reference 84

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Observation 4e91e5d8-6dac-4522-8d38-0ce700ce8d1c · outbound

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 85

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Observation 5f3e1867-613c-4de3-96d7-eaa3a7ce4343 · outbound

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 86

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) saliency map

Reference 87

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What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) We treat your personal data confidentially and in accordance with the statutory data protection regulations and this privacy policy

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:17.739119Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 46b50a7c-255b-4b1a-bff8-6a3b34285753 · outbound

This paper cites an unresolved cited work.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:54:17.725496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25f2d924-6e7f-4782-85b8-57d23ce16e63 · outbound

This paper cites saliency maps.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) saliency maps

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:54:17.710047Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d881d17e-8799-4f48-bfcf-588ed1e01a98 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 46, 4 (2024), 2104–2122.

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) IEEE Transactions on Pattern Analysis and Machine Intelligence 46, 4 (2024), 2104–2122

Reference 2024

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Pith citing papers

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Is Your Model Risk ALARP? Evaluating Prospective Safety-Critical Applications of Complex Models cites this paper.

Is Your Model Risk ALARP? Evaluating Prospective Safety-Critical Applications of Complex Models What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)

Reference 16

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Observation c7ea0717-52c5-4cf9-959e-d26dada4d717 · inbound

Bridging the Disciplinary Gap in Explainable AI: From Abstract Desiderata to Concrete Tasks cites this paper.

Bridging the Disciplinary Gap in Explainable AI: From Abstract Desiderata to Concrete Tasks What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 91ef92df-e4ff-4abe-a16e-1f4a50db67f5 · inbound

Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning cites this paper.

Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.