Paper Citation Record · LEDGER

RISE: Randomized Input Sampling for Explanation of Black-box Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:1806.07421.

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

pith.paper-citation-record.v1
1806.07421 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:55:19.220356Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T14:59:54.753309Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation ea630834-1909-4b38-a46e-6ce2ee43b5a0 · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 90

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T17:56:23.640014Z

Source-reported events for the cited work

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Observation 3757b4e6-21db-4c72-ab84-7dfb4f44aa5c · inbound

FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision cites this paper.

FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:43:54.005331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7aad8721-43da-478f-8725-3bc76a0bff6d · inbound

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP cites this paper.

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:22:25.099070Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 51f3230e-fb7c-4708-8535-5ce575c8c7c9 · inbound

AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption cites this paper.

AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-19T00:36:56.354207Z

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Observation 9dc60dc0-e8e7-4d10-955b-70e5551b4e89 · inbound

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees cites this paper.

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:42:10.196549Z

Source-reported events for the cited work

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Observation cbb646a5-e3fc-4a8f-a58f-0e2bcfe25d09 · inbound

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows cites this paper.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:06:14.539160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e09c9d37-034f-4764-8a34-913d9acfb48c · inbound

Feature-level Interaction Explanations in Multimodal Transformers cites this paper.

Feature-level Interaction Explanations in Multimodal Transformers RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 15

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Source-reported events for the cited work

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Observation 96e37a48-834b-4f2b-ba1a-7c6eb77db2eb · inbound

PhiNet: Speaker Verification with Phonetic Interpretability cites this paper.

PhiNet: Speaker Verification with Phonetic Interpretability RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:13:16.410712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d46ce267-c08e-4b2c-a397-bc95791df4e5 · inbound

Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation cites this paper.

Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.893669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1e93fc5-5f0a-4862-a5a9-8cab11085367 · inbound

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers cites this paper.

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:36:05.608219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31760e6b-59cf-4bfa-8f8d-5195634b92b6 · inbound

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable cites this paper.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:06:11.942184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d2ddcf0-7c78-454f-9c41-fa40ed3e7757 · inbound

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable cites this paper.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:59:54.755058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e4cfb07-4631-4f47-b1e1-bcf39e1ba01e · inbound

DRAGON: A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams cites this paper.

DRAGON: A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:21:49.245851Z

Source-reported events for the cited work

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Observation 70a97944-e93b-4f67-9a12-7d23c2e936b7 · inbound

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers cites this paper.

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.674744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa41e0c3-51f6-4b53-acce-7cddcb1d18f4 · inbound

Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models cites this paper.

Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:21.156495Z

Source-reported events for the cited work

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Observation a337ba41-cd15-41cc-adce-8aa16e995622 · inbound

Evaluation Cards for XAI Metrics cites this paper.

Evaluation Cards for XAI Metrics RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:12.787689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea4cac9d-b1f9-410c-9486-1358c30d1266 · inbound

Architecture-Aware Explanation Auditing for Industrial Visual Inspection cites this paper.

Architecture-Aware Explanation Auditing for Industrial Visual Inspection RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:49:41.694130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bcd610ff-5b93-448c-a2fa-f7aa47167568 · inbound

Architecture-Aware Explanation Auditing for Industrial Visual Inspection cites this paper.

Architecture-Aware Explanation Auditing for Industrial Visual Inspection RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T21:03:46.342506Z

Source-reported events for the cited work

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Observation e1c8d420-32b3-45a2-b668-51a0b85964ee · inbound

Architecture-Aware Explanation Auditing for Industrial Visual Inspection cites this paper.

Architecture-Aware Explanation Auditing for Industrial Visual Inspection RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T14:25:46.310079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 405d3b9d-f9b0-47d0-9ca5-024042e8bf32 · inbound

How to Evaluate and Refine your CAM cites this paper.

How to Evaluate and Refine your CAM RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:45:06.409444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ec9f35e-90a8-4845-b29e-50a556545917 · inbound

From Weight Perturbation to Feature Attribution for Explaining Fully Connected Neural Networks cites this paper.

From Weight Perturbation to Feature Attribution for Explaining Fully Connected Neural Networks RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-19T16:07:41.087029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a63ad8d-7a40-4430-a43a-8fb94593338f · inbound

OCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models cites this paper.

OCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:13:13.486509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c1c3ba2-3cde-441e-b1af-16cdee1a04f2 · inbound

Learning Quantifiable Visual Explanations Without Ground-Truth cites this paper.

Learning Quantifiable Visual Explanations Without Ground-Truth RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T10:13:11.863389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c5b28ee9-c576-4d45-8272-123a3398e32b · inbound

How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence cites this paper.

How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T19:15:01.516977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d48788e4-b184-440e-ae4c-bd6c1c458736 · 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 RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T03:43:02.104486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation edbf5df6-6da9-4c03-85b5-b29f21f8fb91 · inbound

Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability cites this paper.

Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:06:08.755874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 70f5d098-d98e-434c-bf6b-fff1d7d96452 · inbound

Landseer: Exploring the Machine Learning Defense Landscape cites this paper.

Landseer: Exploring the Machine Learning Defense Landscape RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:33:45.429416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea261fd1-73e0-475c-b87a-8bdc408cb2fc · inbound

EIVE: End-to-End Instance-Specific Visual Explanations for Detection Transformers cites this paper.

EIVE: End-to-End Instance-Specific Visual Explanations for Detection Transformers RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:26:17.598022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e496bf97-1cc2-45b1-a556-7758e7a95de1 · inbound

Position: Genomic Model Research Must Move Beyond Anecdotal Evaluation of Interpretability Methods cites this paper.

Position: Genomic Model Research Must Move Beyond Anecdotal Evaluation of Interpretability Methods RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 104

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T00:12:50.342345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07d91000-6f3b-4fed-9eed-e25a04d1047b · inbound

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

XtrAIn: Training-Guided Occlusion for Feature Attribution RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T04:47:38.402444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0f57b9c-ff28-46dd-baf6-a24f8ac4b46d · inbound

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation cites this paper.

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:49:50.928459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92998aea-cb54-4e67-bd88-98f12791ed1b · inbound

Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations cites this paper.

Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-30T09:54:35.378690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4373885b-1cd6-4c20-9cc4-92c49a3cd9d9 · inbound

Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization cites this paper.

Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:35:39.597276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e0729ad-18ea-432a-85cc-ed88f947be9c · inbound

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis cites this paper.

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T12:45:44.361837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37cafbbb-7f09-4185-bac9-5fefdfe3fdf2 · inbound

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis cites this paper.

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:27:22.036292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c7b43c0-833d-4ac2-837f-a42515206931 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 212

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:45:40.601505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35862d87-7105-4a09-a40c-f88cb1a00674 · inbound

Validating Causal Abstraction Metrics on Simulated Complex Systems cites this paper.

Validating Causal Abstraction Metrics on Simulated Complex Systems RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 166

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T19:27:18.520025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ba967ff-cf11-4bc0-b5e0-1b7aafe7fc25 · inbound

CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection cites this paper.

CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:18:58.030121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 217d718d-0a48-44f6-bc19-685d3492b641 · inbound

What Pixels Are Enough? SEAMS: Sufficiency Saliency via MSE-Preservation Soft-Masks cites this paper.

What Pixels Are Enough? SEAMS: Sufficiency Saliency via MSE-Preservation Soft-Masks RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T04:59:35.053286Z

Source-reported events for the cited work

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Observation 515bce79-e3d9-414a-8667-04882cf09d0a · inbound

Fine-grained CLIP fine-tuning with self-annotated region alignment cites this paper.

Fine-grained CLIP fine-tuning with self-annotated region alignment RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T04:34:22.815449Z

Source-reported events for the cited work

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Observation 438300a8-10a8-420b-88db-505a81a1ae37 · inbound

Variable Importance Identification Through Lazy Training for Binary Classification cites this paper.

Variable Importance Identification Through Lazy Training for Binary Classification RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T04:02:38.332978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.