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Paper Citation Record · LEDGER

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.23247.

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

pith.paper-citation-record.v1
2506.23247 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:51:03.542382Z

measured 38 of 38 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

38 of 38 outbound references displayed

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  • verified fuzzy9
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External citation measurements

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Outbound references

Observation 77fffdef-d777-4ee2-a67e-337b84eb4d76 · outbound

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification , " * write output.state after.block = add.period write newline

Reference 1

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Observation 9c0adf86-e67b-4540-8086-70fa0dd10593 · outbound

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification write newline

Reference 2

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification a gele, M.; Sch \

Reference 3

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This paper cites The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Reference 4

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 5

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 6

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This paper cites J.; Janizek, J.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification J.; Janizek, J

Reference 7

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 8

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Observation 6c266192-f804-4b41-b6b0-e915b4c2b576 · outbound

This paper cites Y.; and Kim, B.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Y.; and Kim, B

Reference 9

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This paper cites Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables

Reference 10

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 11

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Observation baa28977-2cbe-4003-a29e-4e9d493fd133 · outbound

This paper cites W.; Nguyen, T.; Tang, Y.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification W.; Nguyen, T.; Tang, Y

Reference 12

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This paper cites a ldchen, S.; Binder, A.; Montavon, G.; Samek, W.; and M \.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification a ldchen, S.; Binder, A.; Montavon, G.; Samek, W.; and M \

Reference 13

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This paper cites J.; Srinivas, S.; Bhalla, U.; and Lakkaraju, H.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification J.; Srinivas, S.; Bhalla, U.; and Lakkaraju, H

Reference 14

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification M.; and Lee, S.-I

Reference 15

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 16

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 17

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 18

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 19

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Observation 1e993edf-8c2e-4775-af51-9c4d7477fda4 · outbound

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification G.; Athalye, A.; and Mueller, J

Reference 20

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This paper cites Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias

Reference 21

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding

Reference 22

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 23

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Why should i trust you?

Reference 24

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Aggregating explanation methods for stable and robust explainability

Reference 25

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 27

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification R.; Cogswell, M.; Das, A.; Vedantam, R.; Parikh, D.; and Batra, D

Reference 28

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification SmoothGrad: removing noise by adding noise

Reference 30

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 31

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 32

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Global Aggregations of Local Explanations for Black Box models

Reference 33

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification K.; Fink, C.; Toberer, F.; Enk, A.; Deinlein, T.; Hofmann-Wellenhof, R.; Thomas, L.; Lallas, A.; Blum, A.; Stolz, W.; et al

Reference 34

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Unresolved cited work

Reference 35

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Observation 6ee6d194-113d-429e-8490-ca14603f6e5f · outbound

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Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification Post-hoc Concept Bottleneck Models

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:51:03.421677Z digest=sha256:96fd41dbdbe9f051c613cf794ac4409b68fb0d2198ec0fa296abc8865779957d

Observation 386f3594-fcee-4a0b-a53c-e9cf4d9455d2 · outbound

This paper cites R.; Badgeley, M.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification R.; Badgeley, M

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:05.083278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T21:51:03.496290Z digest=sha256:e3f3b6a08e566e647df6f001c31609c66dceb0c514fde5ab4622e3c10288e8fd

Observation 5a816261-0394-4cc5-bcd2-236e6a2888c7 · outbound

This paper cites T.; and Hermanns, H.

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification T.; and Hermanns, H

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:04.793031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T21:51:03.542382Z digest=sha256:cb5559ce293e209039622756ef144dac61b22578870c70ebaa09f37e41eef256

Pith citing papers

No inbound Pith citation observations are available.