Paper Citation Record · LEDGER

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution

As of 11 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2606.18008.

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

pith.paper-citation-record.v1
2606.18008 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T00:57:24.855665Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T22:39:41.308077Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T22:47:37.492770Z

Reference resolution

66 of 66 outbound references displayed

verified exact7
verified fuzzy0
unresolved57
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91b5d942-1398-45bf-8346-e50aa429ace8 · outbound

This paper cites Attribution explanations for deep neural networks: A theoretical perspective,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Attribution explanations for deep neural networks: A theoretical perspective,

Reference 1

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Observation 1864c2ab-4273-4e3b-b12d-09d6f8fa309c · outbound

This paper cites Explainable AI (XAI): Core ideas, techniques, and solutions,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Explainable AI (XAI): Core ideas, techniques, and solutions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T00:57:24.855665Z

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Observation 48d0702a-897c-4244-8a15-dd1bee7bce45 · outbound

This paper cites A survey of feature attribution techniques in explainable ai: Taxonomy, analysis and comparison,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution A survey of feature attribution techniques in explainable ai: Taxonomy, analysis and comparison,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T00:57:24.855665Z

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Observation 3d69a13f-8d78-4356-bc2a-703552cf521d · outbound

This paper cites A review and comparative study on probabilistic object detection in autonomous driv- ing,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution A review and comparative study on probabilistic object detection in autonomous driv- ing,

Reference 4

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Observation cdef9fd4-d2c2-4621-886b-22fcb388c22b · outbound

This paper cites Going beyond xai: A systematic survey for explanation-guided learning,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Going beyond xai: A systematic survey for explanation-guided learning,

Reference 5

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Observation 1e4b6ced-4685-40d3-94cb-7237e57b17a7 · outbound

This paper cites Can Attribution Predict Risk? From Multi-View Attribution to Planning Risk Signals in End-to-End Autonomous Driving.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Can Attribution Predict Risk? From Multi-View Attribution to Planning Risk Signals in End-to-End Autonomous Driving

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:58:58.591871Z

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Observation 1d1de6b9-5b2e-4b78-9009-49f545649547 · outbound

This paper cites Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making

Reference 7

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Observation d77dc404-1d18-42e1-bac0-ad4f52e421cf · outbound

This paper cites Safe: Sensitivity-aware features for out-of-distribution object detection,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Safe: Sensitivity-aware features for out-of-distribution object detection,

Reference 8

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Observation 4af0f3b1-729e-4ac4-9570-ca4251400d23 · outbound

This paper cites SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents

Reference 9

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Observation 8c4a6a59-32ba-4059-a801-77013625ce9c · outbound

This paper cites RISE: Randomized input sampling for explanation of black-box models,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution RISE: Randomized input sampling for explanation of black-box models,

Reference 10

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Observation 21ca335d-86ce-415e-9e73-daf4d0df6105 · outbound

This paper cites Black-box explanation of object detectors via saliency maps,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Black-box explanation of object detectors via saliency maps,

Reference 11

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Observation f7163051-c62d-4401-b3f9-adda9194b616 · outbound

This paper cites Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection

Reference 12

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Observation c8956d0b-06a9-4f19-899b-4e2e14702e2c · outbound

This paper cites Spatial sensitive grad-cam: Visual explanations for object detection by incorporating spatial sensitivity,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Spatial sensitive grad-cam: Visual explanations for object detection by incorporating spatial sensitivity,

Reference 13

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Observation 7c567813-e316-45c7-ba2c-6b3e5927d44a · outbound

This paper cites Spatial Sensitive Grad-CAM++: Improved visual expla- nation for object detectors via weighted combination of gradient map,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Spatial Sensitive Grad-CAM++: Improved visual expla- nation for object detectors via weighted combination of gradient map,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T00:57:24.855665Z

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Observation 67959e17-e2b5-40e6-8848-b5c4a280bfbe · outbound

This paper cites Less is more: Fewer interpretable region via submodular subset selection,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Less is more: Fewer interpretable region via submodular subset selection,

Reference 15

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Observation e9eb22f2-c216-487a-9f08-4d1eacd49f9d · outbound

This paper cites Interpreting Object-level Foundation Models via Visual Pre- cision Search,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Interpreting Object-level Foundation Models via Visual Pre- cision Search,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T00:57:24.855665Z

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Observation 06e42dab-7e30-4e34-8a71-7532c0ccb9bd · outbound

This paper cites Explain any concept: Seg- ment anything meets concept-based explanation,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Explain any concept: Seg- ment anything meets concept-based explanation,

Reference 17

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Observation a36f921e-bde5-4b16-bd8a-1f873c196f3e · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Imagenet: A large-scale hierarchical image database,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T00:57:24.855665Z

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Observation 3c0d4bcd-c950-4e05-9fb6-7ddd59b60902 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Learning transferable visual models from natural language supervision,

Reference 19

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Observation dc537dcf-48a8-4508-bae8-dda096237d66 · outbound

This paper cites Deep residual learning for image recognition,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Deep residual learning for image recognition,

Reference 20

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Observation 78c34d5b-f879-484e-8cfc-6810831b20d8 · outbound

This paper cites Microsoft COCO: Common objects in context,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Microsoft COCO: Common objects in context,

Reference 21

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Observation d6b3ada5-f192-4e11-88dd-f00985358d9a · outbound

This paper cites LVIS: A dataset for large vocabulary instance segmentation,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution LVIS: A dataset for large vocabulary instance segmentation,

Reference 22

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Observation 6509f1d9-1dde-4280-aad7-14ce7d404759 · outbound

This paper cites ReferItGame: Referring to objects in photographs of natural scenes,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution ReferItGame: Referring to objects in photographs of natural scenes,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T00:57:24.855665Z

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Observation 3f05fdf9-e623-4b50-b386-8f37a0019ed3 · outbound

This paper cites Grounding DINO: Marrying dino with grounded pre- training for open-set object detection,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Grounding DINO: Marrying dino with grounded pre- training for open-set object detection,

Reference 24

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Observation 016eb9fc-fb55-4f8b-acc4-422a04a9faaf · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Florence-2: Advancing a unified representation for a variety of vision tasks,

Reference 25

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Observation 1c971cdd-28f7-40e6-894d-4d59dbbf8394 · outbound

This paper cites Qwen2.5-VL Technical Report.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Qwen2.5-VL Technical Report

Reference 26

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Observation 15134e40-2186-4ffe-945e-000f27afdd0a · outbound

This paper cites Phasewin search framework enable efficient object-level interpretation,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Phasewin search framework enable efficient object-level interpretation,

Reference 27

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Observation 716e5419-e34a-4739-8889-f6e1c2627f69 · outbound

This paper cites On pixel-wise explanations for non-linear classifier decisions 16 by layer-wise relevance propagation,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution On pixel-wise explanations for non-linear classifier decisions 16 by layer-wise relevance propagation,

Reference 28

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Observation 3bda2485-111a-4812-ab58-e31e7410a637 · outbound

This paper cites Gradient methods for submodular maximization,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Gradient methods for submodular maximization,

Reference 29

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Observation d758ca45-510c-4765-a0df-87ec8d3243f0 · outbound

This paper cites Grad-CAM: visual explanations from deep networks via gradient-based localization,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Grad-CAM: visual explanations from deep networks via gradient-based localization,

Reference 30

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Observation 8151a33e-737d-422e-b1b8-4477b1f835c7 · outbound

This paper cites Grad-CAM++: Generalized gradient-based visual explanations for deep convolutional networks,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Grad-CAM++: Generalized gradient-based visual explanations for deep convolutional networks,

Reference 31

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Observation 5796dfb7-022f-4b22-85f0-0c57d5d6242a · outbound

This paper cites Score-cam: Score-weighted visual explanations for convolu- tional neural networks,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Score-cam: Score-weighted visual explanations for convolu- tional neural networks,

Reference 32

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Observation 38aefd0c-dde6-4cf5-ab81-b9f59559ff70 · outbound

This paper cites Vit-cx: Causal explanation of vision transformers,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Vit-cx: Causal explanation of vision transformers,

Reference 33

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Observation 9fc35834-0e27-43d0-a280-e92c99e96426 · outbound

This paper cites Gradient- based visual explanation for transformer-based clip,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Gradient- based visual explanation for transformer-based clip,

Reference 34

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Observation a2dcf392-df1e-46e4-975c-974951c3a5a5 · outbound

This paper cites Axiomatic attribution for deep networks,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Axiomatic attribution for deep networks,

Reference 35

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Observation eb8c5aab-59f7-4165-a79c-1bbd91f8f3c3 · outbound

This paper cites iGOS++: integrated gradient optimized saliency by bilateral perturbations,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution iGOS++: integrated gradient optimized saliency by bilateral perturbations,

Reference 36

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This paper cites Making sense of dependence: Ef- ficient black-box explanations using dependence measure,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Making sense of dependence: Ef- ficient black-box explanations using dependence measure,

Reference 37

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Observation b81b9706-0cd4-4d51-8046-d40e193496bd · outbound

This paper cites "why should I trust you?.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution "why should I trust you?

Reference 38

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Observation 38499717-d5b5-415f-80fa-50ccb6f69835 · outbound

This paper cites A value for n-person games,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution A value for n-person games,

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This paper cites A unified approach to interpreting model predictions,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution A unified approach to interpreting model predictions,

Reference 40

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This paper cites Harsanyinet: Computing accurate shapley values in a single forward propagation,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Harsanyinet: Computing accurate shapley values in a single forward propagation,

Reference 41

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Observation b7954b6f-8ac3-497d-bc08-fd6714bb34b8 · outbound

This paper cites Problems with shapley-value-based explanations as feature importance measures,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Problems with shapley-value-based explanations as feature importance measures,

Reference 42

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Observation fc43117c-9548-41e2-835b-e62ce837710e · outbound

This paper cites One explanation is not enough: structured attention graphs for image classification,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution One explanation is not enough: structured attention graphs for image classification,

Reference 43

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Observation 270f6331-b6ea-414a-9c68-89ffd7ded15d · outbound

This paper cites Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

Reference 44

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Observation 065b0298-d4c7-4caa-9ee7-08526d1d65c0 · outbound

This paper cites Gradient-based instance-specific visual explanations for object specification and object discrimination,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Gradient-based instance-specific visual explanations for object specification and object discrimination,

Reference 45

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This paper cites Diverse explanations for object detectors with nesterov-accelerated igos++.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Diverse explanations for object detectors with nesterov-accelerated igos++

Reference 46

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Observation 4d809f6a-56e9-4898-b7fa-a338d664a09a · outbound

This paper cites Comparing the decision-making mechanisms by transformers and cnns via explanation methods,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Comparing the decision-making mechanisms by transformers and cnns via explanation methods,

Reference 47

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This paper cites Interpreting clip’s image representation via text-based decomposition,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Interpreting clip’s image representation via text-based decomposition,

Reference 48

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Observation 84f6aa8b-71d7-4e58-9af9-19a32c2107a4 · outbound

This paper cites Explaining Object Detectors via Collective Contribution of Pixels.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Explaining Object Detectors via Collective Contribution of Pixels

Reference 49

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Observation ed6ac37d-1251-48c8-abb0-3b052c42edfc · outbound

This paper cites Lvlm- intrepret: An interpretability tool for large vision-language models,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Lvlm- intrepret: An interpretability tool for large vision-language models,

Reference 50

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Observation 2d188a61-9112-4337-918c-766f02cc8a87 · outbound

This paper cites Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models

Reference 51

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Observation 9cd27206-53ac-42e4-a681-3182844b259e · outbound

This paper cites From redundancy to relevance: Enhancing explainability in multimodal large language models,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution From redundancy to relevance: Enhancing explainability in multimodal large language models,

Reference 52

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Observation 172c0798-7cf1-47eb-a108-0a9df966d1f9 · outbound

This paper cites Where do Large Vision-Language Models Look at when Answering Questions?.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Where do Large Vision-Language Models Look at when Answering Questions?

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:58.573488Z

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Observation 8719836c-d3c8-4746-b40a-b0ae4ebe087f · outbound

This paper cites Token activation map to visually explain multimodal llms,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Token activation map to visually explain multimodal llms,

Reference 54

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PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Mllms know where to look: Training-free perception of small visual details with multimodal llms,

Reference 55

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Observation 388bb9a8-7809-4d7e-8158-372101e159e2 · outbound

This paper cites Where mllms attend and what they rely on: Explaining autoregressive token generation,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Where mllms attend and what they rely on: Explaining autoregressive token generation,

Reference 56

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Observation 114d99fb-8740-4bdb-b633-81be7825eb68 · outbound

This paper cites Accelerated greedy algorithms for maximizing submodular set functions,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Accelerated greedy algorithms for maximizing submodular set functions,

Reference 57

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Observation f8c908ac-8465-4f6b-b890-ed6afa605236 · outbound

This paper cites Cost-effective outbreak detection in networks,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Cost-effective outbreak detection in networks,

Reference 58

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Observation 4b7b6bf8-6d33-40fa-99b3-680561356832 · outbound

This paper cites Lazier than lazy greedy,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Lazier than lazy greedy,

Reference 59

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Observation 4c8cca18-e621-4a0a-86b4-48e74cdf6c1b · outbound

This paper cites Fast multi-stage submodular maximiza- tion,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Fast multi-stage submodular maximiza- tion,

Reference 60

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Observation 4b6242ba-1115-408c-aaaf-f6b60af8a0ca · outbound

This paper cites The fast algorithm for submod- ular maximization,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution The fast algorithm for submod- ular maximization,

Reference 61

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Observation 04f7a29c-6979-4b9e-9613-cd1c66dc6fc3 · outbound

This paper cites Deep inside convolutional networks: Visualising image classification models and saliency maps,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Deep inside convolutional networks: Visualising image classification models and saliency maps,

Reference 62

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Observation ab86de8f-5555-49d8-ab22-86112c095d27 · outbound

This paper cites SLIC superpixels compared to state-of-the-art superpixel methods,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution SLIC superpixels compared to state-of-the-art superpixel methods,

Reference 63

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Observation 9f53df4b-8e0e-459b-a9a2-2ad885fc2248 · outbound

This paper cites Look at the variance! efficient black-box explanations with sobol- based sensitivity analysis,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Look at the variance! efficient black-box explanations with sobol- based sensitivity analysis,

Reference 64

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Observation 7a54a4a5-d7dd-43ff-8627-d2a1090165b2 · outbound

This paper cites Top- down neural attention by excitation backprop,.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Top- down neural attention by excitation backprop,

Reference 65

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Observation 2d47ef48-1de9-4d63-b314-f1a30531b3e8 · outbound

This paper cites Therefore λ2G(S) +b 2 ≥F(S)≥c F(T)−η≥c λ1G(T) +b 1 −η.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Therefore λ2G(S) +b 2 ≥F(S)≥c F(T)−η≥c λ1G(T) +b 1 −η

Reference 66

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Pith citing papers

Observation 0755c3bf-66fa-4669-be5f-4e35320da131 · inbound

A Good Initialization is All You Need for Faithful Visual Attribution cites this paper.

A Good Initialization is All You Need for Faithful Visual Attribution PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution

Reference 31

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