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Paper Citation Record · LEDGER

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification

As of 18 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 2026-08-17T06:30:58.91139+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
  • unresolved25
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

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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Observation 7a639051-b061-4307-a43f-73fef955d46f · outbound

This paper cites a gele, M.; Sch \.

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

Reference 3

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Observation b1323113-7cd4-4a92-8dbd-facf71efa7a7 · outbound

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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Observation 454ae635-46b4-4ac1-a079-f09538a9a4c6 · outbound

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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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Observation 1935d931-548c-4d00-ad2b-2e440a20b30d · outbound

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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Observation d4dfef7d-75f5-4cb6-9455-fd6c10642041 · outbound

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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Observation 22a7bc1d-b123-4f13-bbe5-7e885e321c03 · outbound

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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Observation 7245884f-a420-4f30-b38a-123f2248ca67 · outbound

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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Observation df44249d-3c7e-477a-8da4-00a7b8959c9c · outbound

This paper cites M.; and Lee, S.-I.

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

Reference 15

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Observation ecd16177-7b5c-42f1-a20f-465504daf2b0 · outbound

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

Reference 16

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Observation 690ccb94-f4a6-459a-8bc2-ea8035060126 · outbound

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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

This paper cites G.; Athalye, A.; and Mueller, J.

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

Reference 20

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Observation 10bd1296-4ec6-496a-b824-d23995120a43 · outbound

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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This paper cites DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding.

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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Observation 3e8a3013-cb7a-46d9-9a10-7af655347985 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

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

Reference 26

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:51:03.421677Z digest=sha256:a302b78d82520d530fbd4d99bd14ee4f832211ffa4233fea5d5c540f572a66e7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:51:03.496290Z digest=sha256:14404585a5f02d1e4a703ee7dd72b084935fe64c2bbb2ccf54a09b9505e914b3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:51:03.542382Z digest=sha256:153731a847e296f3ecc51329c5526cad99853e2369e3c092204328142210d6e9

Pith citing papers

No inbound Pith citation observations are available.