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Paper Citation Record · LEDGER

Sanity Checks for Saliency Maps

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:1810.03292.

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

pith.paper-citation-record.v1
1810.03292 v3

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measured 0 of 0 reference resolution

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measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:22:44.069661Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

606
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53846e1d-5893-4a9a-a9b3-f3639e2e5575 · inbound

"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations cites this paper.

"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations Sanity Checks for Saliency Maps

Reference 5

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no resolver link, observed 2026-08-12T14:14:08.943711Z

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Observation 7206b666-4d51-479d-8368-9b2a41edd15a · inbound

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing cites this paper.

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing Sanity Checks for Saliency Maps

Reference 45

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Observation a754716e-b4f5-4b48-91a9-0472fb14a820 · inbound

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection cites this paper.

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection Sanity Checks for Saliency Maps

Reference 2018

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Observation 2d1c0daf-4580-4346-8c0f-697c0d1635c4 · inbound

Are machine learning interpretations reliable? A stability study on global interpretations cites this paper.

Are machine learning interpretations reliable? A stability study on global interpretations Sanity Checks for Saliency Maps

Reference 8

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Observation 42b68eba-c27b-4e70-a19c-8ab12f40526c · inbound

AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models cites this paper.

AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models Sanity Checks for Saliency Maps

Reference 1

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Observation 724930c3-b3fe-4b85-899b-4cc49bcdc7be · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety Sanity Checks for Saliency Maps

Reference 2

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Observation 4c005346-6147-40a1-8175-3d0c5f69ea26 · inbound

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays cites this paper.

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays Sanity Checks for Saliency Maps

Reference 1

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Observation 5bab8da9-869e-4495-8316-57226c7a6c90 · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Sanity Checks for Saliency Maps

Reference 1

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no resolver link, observed 2026-08-05T20:29:37.376360Z

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Observation 068b7766-7aff-4278-846a-548feb336c5a · inbound

On Spectral Properties of Gradient-based Explanation Methods cites this paper.

On Spectral Properties of Gradient-based Explanation Methods Sanity Checks for Saliency Maps

Reference 2

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Observation 52d68add-cc65-4b1f-b1c6-a24be7056f26 · inbound

Systematic Evaluation of Attribution Methods: Eliminating Threshold Bias and Revealing Method-Dependent Performance Patterns cites this paper.

Systematic Evaluation of Attribution Methods: Eliminating Threshold Bias and Revealing Method-Dependent Performance Patterns Sanity Checks for Saliency Maps

Reference 2018

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Observation fc9e449c-ed85-419d-b3f9-b8a66777a050 · inbound

Contrastive learning of extragalactic stellar streams. Sculpting a latent space of representations with DES DR2 photometry cites this paper.

Contrastive learning of extragalactic stellar streams. Sculpting a latent space of representations with DES DR2 photometry Sanity Checks for Saliency Maps

Reference 3

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Observation 3ae8652c-b0ea-4911-bae6-4b521b55b484 · inbound

Non-identifiability of Explanations from Model Behavior in Deep Networks of Image Authenticity Judgments cites this paper.

Non-identifiability of Explanations from Model Behavior in Deep Networks of Image Authenticity Judgments Sanity Checks for Saliency Maps

Reference 1

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arxiv_id, observed 2026-05-11T00:00:55.392423Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dcf1584a-6d0b-4a29-9158-75aad7dd24ea · inbound

Cognitive Alignment At No Cost: Inducing Human Attention Biases For Interpretable Vision Transformers cites this paper.

Cognitive Alignment At No Cost: Inducing Human Attention Biases For Interpretable Vision Transformers Sanity Checks for Saliency Maps

Reference 1

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arxiv_id, observed 2026-05-10T02:11:57.404584Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b034cc92-b1c9-4915-80eb-86c42178cc5a · inbound

From Mechanistic to Compositional Interpretability cites this paper.

From Mechanistic to Compositional Interpretability Sanity Checks for Saliency Maps

Reference 156

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Observation cb8a278a-12cf-4ce0-b902-bc52af08d9ee · inbound

From Mechanistic to Compositional Interpretability cites this paper.

From Mechanistic to Compositional Interpretability Sanity Checks for Saliency Maps

Reference 2

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ce0379e0-0afa-43ed-b263-9d9e4481726f · inbound

The Statistical Cost of Adaptation in Multi-Source Transfer Learning cites this paper.

The Statistical Cost of Adaptation in Multi-Source Transfer Learning Sanity Checks for Saliency Maps

Reference 112

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arxiv_id, observed 2026-05-12T06:26:23.335300Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7b35405e-e8a9-4ce3-a776-357a56c699da · inbound

Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality cites this paper.

Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality Sanity Checks for Saliency Maps

Reference 14

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e43615f6-8f45-4a90-a179-f09f1c366c05 · inbound

The impact of source and survey modelling on the connection between [O III] emitters and Ly $\alpha$ forest transmission at z ~ 6 cites this paper.

The impact of source and survey modelling on the connection between [O III] emitters and Ly $\alpha$ forest transmission at z ~ 6 Sanity Checks for Saliency Maps

Reference 6

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arxiv_id, observed 2026-07-02T05:16:38.826459Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eb7f98fd-e320-4cd1-99b7-550db7e23803 · inbound

Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia cites this paper.

Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia Sanity Checks for Saliency Maps

Reference 62

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd8c5444-2343-4ab9-afe5-d94be4475377 · inbound

Variational Proximal Policy Optimization cites this paper.

Variational Proximal Policy Optimization Sanity Checks for Saliency Maps

Reference 67

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metadata mismatch
arxiv_id, observed 2026-07-02T21:57:26.066388Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 27ffcf0a-e49f-4ece-ade5-7c69999e02c3 · inbound

XtrAIn: Training-Guided Occlusion for Feature Attribution cites this paper.

XtrAIn: Training-Guided Occlusion for Feature Attribution Sanity Checks for Saliency Maps

Reference 1

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arxiv_id, observed 2026-07-03T04:47:38.397552Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8d3be79a-b712-49aa-9e4d-589b46c43aff · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Sanity Checks for Saliency Maps

Reference 133

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Observation ef8cd01e-6526-4e78-992d-a0e1f61ccf1a · inbound

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders cites this paper.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders Sanity Checks for Saliency Maps

Reference 1

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Observation 297e2a90-15c0-47ed-bfc9-5916abee7cb1 · inbound

Governing Agentic AI in FinTech cites this paper.

Governing Agentic AI in FinTech Sanity Checks for Saliency Maps

Reference 1

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