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Paper Citation Record · LEDGER

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches

As of 7 August 2026, this Paper Citation Record lists 100 of 163 outbound references and 0 inbound Pith citation observations for arXiv:2606.17646.

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

pith.paper-citation-record.v1
2606.17646 v1

Coverage vector

measured 100 of 163 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T23:27:10.115215Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 163 outbound references displayed

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  • unresolved98
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Outbound references

Observation f37c8d19-ebe4-4af0-b045-9b4f5eecf5b4 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based local- ization,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Grad-cam: Visual explanations from deep networks via gradient-based local- ization,

Reference 1

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Observation ecbc51f8-9da8-4531-9729-106dc3e1ea69 · outbound

This paper cites One millisecond face alignment with an ensemble of regression trees,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches One millisecond face alignment with an ensemble of regression trees,

Reference 2

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Observation ee6c6f04-f05b-4da6-8c72-e30028032a36 · outbound

This paper cites Human–computer col- laboration for skin cancer recognition,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Human–computer col- laboration for skin cancer recognition,

Reference 3

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Observation fe10ef1b-e2ae-4c8a-a72c-908da6d02072 · outbound

This paper cites Deep learning in medical image analysis,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Deep learning in medical image analysis,

Reference 4

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Observation 7591e554-950f-4969-88bc-38d9c3f542fe · outbound

This paper cites Clipasso: Semantically-aware object sketching,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Clipasso: Semantically-aware object sketching,

Reference 5

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Observation 1a99b5fb-04f1-4356-9cfd-53da8d98e9a0 · outbound

This paper cites Concept bottleneck models,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Concept bottleneck models,

Reference 6

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Observation d8e4f66c-a116-455b-83e3-7c327a2bd058 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 7

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Observation a7cff0ca-36e8-401c-adff-4e75c3c1d099 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Dermatologist-level classification of skin cancer with deep neural networks,

Reference 8

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Observation ee37b689-36ba-4ef8-ae45-4eaca46ff79c · outbound

This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery

Reference 9

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Observation 723ade2b-f6d6-4f4e-9d51-0258f0bae619 · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sci- ences,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Explanation in artificial intelligence: Insights from the social sci- ences,

Reference 10

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Observation 6b336a6b-b523-4e66-a393-1186e90c1217 · outbound

This paper cites Why and why not explanations improve the intelligibility of context-aware intelligent systems,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Why and why not explanations improve the intelligibility of context-aware intelligent systems,

Reference 11

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Observation 6f7ed464-4b93-47c3-a3fb-1b94836902ed · outbound

This paper cites ” why should i trust you?.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches ” why should i trust you?

Reference 12

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Observation 0e29da7e-91b9-44c1-bba2-8b85a48c29a3 · outbound

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

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches A unified approach to interpreting model predictions,

Reference 13

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Observation f36d6269-44b3-4ad6-a220-ba89b4f26094 · outbound

This paper cites Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda,

Reference 14

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Observation df910d31-68d2-4aba-b57a-224f974849c5 · outbound

This paper cites Feature visualization,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Feature visualization,

Reference 15

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Observation d8855e55-2fdd-4c2b-a889-ef767e0d8317 · outbound

This paper cites Learning deep features for discriminative localization,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Learning deep features for discriminative localization,

Reference 16

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Observation 7152bd27-02b5-4a68-b162-1f4ef20a3de9 · outbound

This paper cites Ablation-cam: Visual explanations for deep convolu- tional network via gradient-free localization,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Ablation-cam: Visual explanations for deep convolu- tional network via gradient-free localization,

Reference 17

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Observation 37a5086a-9826-4d2a-a642-b97c199cb216 · outbound

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

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation,

Reference 18

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Observation a60b435e-2764-443f-82c7-44674ab37f82 · outbound

This paper cites Interpretable explanations of black boxes by meaningful perturbation,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Interpretable explanations of black boxes by meaningful perturbation,

Reference 19

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Observation 786b1ebb-6450-478b-9a8f-bc9d0a9e30d1 · outbound

This paper cites Ex- plaining nonlinear classification decisions with deep taylor decomposition,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Ex- plaining nonlinear classification decisions with deep taylor decomposition,

Reference 20

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Observation 579c32b0-382e-4468-a350-7b0381ba32f1 · outbound

This paper cites The intuitive appeal of explainable machines,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches The intuitive appeal of explainable machines,

Reference 21

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Observation 5f924711-8325-4678-830c-99922ef6062e · outbound

This paper cites Abstraction alignment: Comparing model-learned and human-encoded conceptual relationships,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Abstraction alignment: Comparing model-learned and human-encoded conceptual relationships,

Reference 22

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Observation 5c816c65-4b11-4280-a37b-a343811eb7ae · outbound

This paper cites Sensible ai: Re-imagining interpretability and explainability using sensemaking theory,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Sensible ai: Re-imagining interpretability and explainability using sensemaking theory,

Reference 23

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Observation 5f291b70-8ffe-435e-a4a5-93848ab6eb56 · outbound

This paper cites Towards relatable explainable ai with the perceptual process,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Towards relatable explainable ai with the perceptual process,

Reference 24

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Observation f4821d48-ed9d-4278-945b-a6df67b7ff50 · outbound

This paper cites Eval- uating saliency map explanations for convolutional neural networks: a user study,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Eval- uating saliency map explanations for convolutional neural networks: a user study,

Reference 25

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Observation f8374866-3f28-4cc6-8e5f-b4afdec07a8d · outbound

This paper cites Amplifying the mind’s eye: sketching and visual cognition,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Amplifying the mind’s eye: sketching and visual cognition,

Reference 26

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Observation fa18c70d-a8cb-4be1-9fb5-725f88e1217b · outbound

This paper cites Why do line drawings work? a realism hypothesis,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Why do line drawings work? a realism hypothesis,

Reference 27

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Observation b37f3b1e-947c-46d8-aa66-f2e268b0a644 · outbound

This paper cites Simple line drawings suffice for functional mri decoding of natural scene categories,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Simple line drawings suffice for functional mri decoding of natural scene categories,

Reference 28

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Observation f987602c-02d7-4137-8392-7db224cd422b · outbound

This paper cites Embedding intentions in drawings: How archi- tects craft and curate drawings to achieve their goals,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Embedding intentions in drawings: How archi- tects craft and curate drawings to achieve their goals,

Reference 29

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Observation 4484ca91-21e3-4221-9ac9-c7afdd2f7123 · outbound

This paper cites In- terpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav),.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches In- terpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav),

Reference 30

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Observation 50f768d0-a880-4647-9a31-b94f39ff03be · outbound

This paper cites Cogam: measur- ing and moderating cognitive load in machine learning model explanations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Cogam: measur- ing and moderating cognitive load in machine learning model explanations,

Reference 31

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Observation ec85838b-4987-4315-876c-306ff32256ff · outbound

This paper cites Less or more: Towards glanceable explanations for llm recommendations using ultra-small devices,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Less or more: Towards glanceable explanations for llm recommendations using ultra-small devices,

Reference 32

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Observation e1795b71-3a4d-4b1f-8b41-493bbc73eb46 · outbound

This paper cites Explanatory coherence,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Explanatory coherence,

Reference 33

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Observation 6757d092-8f46-4a93-84f1-df4fc29b8221 · outbound

This paper cites From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai,

Reference 34

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Observation 5f3206e9-c193-4960-bab9-2b2055a205e3 · outbound

This paper cites Accuracy-time tradeoffs in ai-assisted decision making under time pressure,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Accuracy-time tradeoffs in ai-assisted decision making under time pressure,

Reference 35

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Observation 53a7350e-a015-4461-81e0-128e70dcebf9 · outbound

This paper cites Rationalization: A neural machine translation approach to generating natural language explanations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Rationalization: A neural machine translation approach to generating natural language explanations,

Reference 36

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Observation 9c970dc2-36aa-4859-9f9c-1e4e5ed24722 · outbound

This paper cites Faithful explanations of black-box nlp models using llm-generated counterfac- tuals,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Faithful explanations of black-box nlp models using llm-generated counterfac- tuals,

Reference 37

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Observation e76b863b-6b73-414d-87dc-3114b471b55d · outbound

This paper cites Network dissection: Quantifying interpretability of deep visual representations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Network dissection: Quantifying interpretability of deep visual representations,

Reference 38

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Observation ef7f2df9-707b-4dea-a451-d56e4da0d1b0 · outbound

This paper cites Summit: Scaling deep learning interpretability by visualizing activation and attribution sum- marizations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Summit: Scaling deep learning interpretability by visualizing activation and attribution sum- marizations,

Reference 39

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Observation d7e22cb9-ee96-40c6-b07f-ba661651c272 · outbound

This paper cites Towards better analysis of deep convolutional neural networks,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Towards better analysis of deep convolutional neural networks,

Reference 40

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Observation 652769e3-bcc8-47dc-99f6-f0ebe8f99b1a · outbound

This paper cites Activis: Visual explo- ration of industry-scale deep neural network models,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Activis: Visual explo- ration of industry-scale deep neural network models,

Reference 41

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Observation c7f47501-40a2-4a49-a873-1b643933547e · outbound

This paper cites Cnn explainer: Learning convolutional neural networks with interactive visualization,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Cnn explainer: Learning convolutional neural networks with interactive visualization,

Reference 42

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Observation 016bb4b3-a082-4d28-8397-41766c6a9e26 · outbound

This paper cites Visual genealogy of deep neural networks,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Visual genealogy of deep neural networks,

Reference 43

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Observation 5f75dfca-96fa-4bfd-9cbe-c4b9e0d8271a · outbound

This paper cites A workflow for visual diagnostics of binary classifiers using instance-level expla- nations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches A workflow for visual diagnostics of binary classifiers using instance-level expla- nations,

Reference 44

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Observation 7e4c8b0a-2ec6-4448-a174-80c422515124 · outbound

This paper cites Human-in-the-loop extraction of interpretable concepts in deep learning models,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Human-in-the-loop extraction of interpretable concepts in deep learning models,

Reference 45

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:3977127f3e87fe90f506e2932cc71f8fd9d3770ac23c487c4fd89684374f3775

Observation 8ecaa219-9136-480a-a88a-ec29b7b41406 · outbound

This paper cites Human-centered tools for coping with imperfect algorithms during medical decision-making,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Human-centered tools for coping with imperfect algorithms during medical decision-making,

Reference 46

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:bdebf023550f5cee8e2653e23bd14035c7f845c0a610f7c6ccac0b1891bbd245

Observation 268df9d1-7894-4f46-9f98-ae06c5bf8009 · outbound

This paper cites Visualizing and understanding convolutional networks,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Visualizing and understanding convolutional networks,

Reference 47

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:13152d17ee1bb0ee7a1dcf0b96f20bb0a3b318e009abc17a5943535615c3a3dd

Observation 5e47d28e-6285-46f2-a5b0-cbb50d24dfa9 · outbound

This paper cites Sketchxai: A first look at explainability for human sketches,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Sketchxai: A first look at explainability for human sketches,

Reference 48

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:7a9e3e57bf9eb211f15ce85bd9aa56698d84932b474a59dffacacccbf795329c

Observation e112015d-319c-470b-a922-b78a5bdee70f · outbound

This paper cites What sketch explainability really means for downstream tasks?.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches What sketch explainability really means for downstream tasks?

Reference 49

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:d8cfa19ff2dfe7aceb9b28e53ae99e7619211cb461bdc7afa9d2517ef04e7e09

Observation 628e7e25-184f-46d9-991f-2e12858d7a52 · outbound

This paper cites Rulematrix: Visualizing and understanding classifiers with rules,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Rulematrix: Visualizing and understanding classifiers with rules,

Reference 50

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:4c9348400f57a9c5938e7cf38b54540494695e66f7bb82c0bcaf5b9a1ae1b9c3

Observation f7ec8d3e-70e7-4cca-ae0f-227f068f1754 · outbound

This paper cites Seq2seq-vis: A visual debugging tool for sequence-to-sequence models,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Seq2seq-vis: A visual debugging tool for sequence-to-sequence models,

Reference 51

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:2c0d614d2ed6e061992b0b825849cb7dcc49df1e8ffb7c3bc1cc1180c96a69c3

Observation 6026d78f-d2bc-4261-8f33-d683b7ba232e · outbound

This paper cites Gan lab: Understanding complex deep generative models using interactive visual experimentation,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Gan lab: Understanding complex deep generative models using interactive visual experimentation,

Reference 52

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:490c8fb91f054273c4c75089acf5e5795dd5529df4e1ce14986b98afa5bb510e

Observation 334af242-75e6-4446-ac7c-57b4a993d287 · outbound

This paper cites Shared interest: Measuring human-ai alignment to identify recurring patterns in model behavior,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Shared interest: Measuring human-ai alignment to identify recurring patterns in model behavior,

Reference 53

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Observation 228cc3fa-8ea0-41f0-9292-c036f835788a · outbound

This paper cites Does the whole exceed its parts? the effect of ai explanations on complementary team performance,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Does the whole exceed its parts? the effect of ai explanations on complementary team performance,

Reference 54

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:33d87989d0f814b337b6eece90ad4639ca70d3cc1d11ded0d3d0fa87394ed68d

Observation f33c0d42-f64c-465e-b388-c434b4f11211 · outbound

This paper cites The who in xai: how ai background shapes perceptions of ai explanations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches The who in xai: how ai background shapes perceptions of ai explanations,

Reference 55

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:488c6f24db08c1a63c9eb2037950b542a2acbf8ece490b77fc3710e1f9c72e23

Observation 67734fbc-6922-4234-8f85-c70415b088fe · outbound

This paper cites Interpreting interpretability: understanding data scientists’ use of interpretabil- ity tools for machine learning,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Interpreting interpretability: understanding data scientists’ use of interpretabil- ity tools for machine learning,

Reference 56

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Observation 494463c1-ce9d-48cc-8a1c-e34a75aff255 · outbound

This paper cites To trust or to think: cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches To trust or to think: cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making,

Reference 57

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:1a5e2471a2c468830fc847f91c621399ef480a0a0c8c44842c9588300ad22f67

Observation 30bbb04e-f9f2-497b-afb3-0d1cbca9be07 · outbound

This paper cites Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making,

Reference 58

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Observation 813135ae-fa88-41eb-8234-5be0ae9e0f10 · outbound

This paper cites Designing theory-driven user- centric explainable ai,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Designing theory-driven user- centric explainable ai,

Reference 59

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:a0e95e6604dbb99fdac8ffb32b0037862be3fdf15d04a32fa8a8facbf597a651

Observation e0b22f5f-dfd5-4c11-b363-279256e44b79 · outbound

This paper cites Human-Centered Explainable AI (XAI): From Algorithms to User Experiences.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Reference 60

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:5cb4db1cc0d9294c2192356d2e7de04c5e1e8ef74a3142155d653b0a4a732f45

Observation 2b02f0e1-c577-4c5f-ba11-c579de90c996 · outbound

This paper cites Incremental xai: Memorable understanding of ai with incremental explanations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Incremental xai: Memorable understanding of ai with incremental explanations,

Reference 61

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:735ed80d8608fb9f6a51a893b16cc5d494b4e6c826c2a86bc6ac517a08594482

Observation 87aa930d-e79b-42a4-bd34-59f6cd3e9bd7 · outbound

This paper cites Iris: Interpretable rubric- informed segmentation for action quality assessment,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Iris: Interpretable rubric- informed segmentation for action quality assessment,

Reference 62

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:869db855e2caff4750b1ef5715e770b7d9d411b2076f1cc56a712508a7488ecf

Observation 21dfa1c2-5ce9-4a83-a465-51be5a4206c9 · outbound

This paper cites Diagrammatization: Rational- izing with diagrammatic ai explanations for abductive-deductive reasoning on hypotheses,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Diagrammatization: Rational- izing with diagrammatic ai explanations for abductive-deductive reasoning on hypotheses,

Reference 63

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Observation f3a1bbfe-9997-470d-bcb8-adf217dca306 · outbound

This paper cites Con- trastive explanations that anticipate human misconceptions can improve human decision-making skills,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Con- trastive explanations that anticipate human misconceptions can improve human decision-making skills,

Reference 64

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:6a1f0556a0ca09e0ac2a70d7630b3b7339464a91a2228443d019120142b3a9e4

Observation c238e17c-da4c-4d84-8a9c-f93839f1da66 · outbound

This paper cites Design of an intelligible mobile context-aware application,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Design of an intelligible mobile context-aware application,

Reference 65

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:fd67439fbef0993f3377d85b6e0a69e5672f06d17318b8487f054d49438e4a14

Observation 7bfc9b8a-61c7-4d35-affd-a02cbda73d46 · outbound

This paper cites Evaluating intelligibility usage and usefulness in a context-aware application,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Evaluating intelligibility usage and usefulness in a context-aware application,

Reference 66

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:871ac26b032e5c64d08cab923e5dc19852a52ade2adc53c25bb5b35c6d4ce1ab

Observation faa9c811-a61a-46b6-bc99-62bfe5f2adda · outbound

This paper cites Progressive disclosure: empirically motivated approaches to designing effective transparency,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Progressive disclosure: empirically motivated approaches to designing effective transparency,

Reference 67

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:0b2206faa42f4dc0a3259afed47d334b878ea1889f079f4617b7ad36eec4aaa6

Observation e936b1cd-ec20-4f39-b2f5-1accf3cd1888 · outbound

This paper cites Selective explanations: Leveraging human input to align explainable ai,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Selective explanations: Leveraging human input to align explainable ai,

Reference 68

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:fd9c1d1a258c9ac1b241a9bd5a5c8a747743be81902eae11746d9b7a2c7d0e8b

Observation 2ad20f76-25e5-40e7-8a03-b60506ca8739 · outbound

This paper cites Assessing demand for intelligibility in context- aware applications,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Assessing demand for intelligibility in context- aware applications,

Reference 69

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:2988c4de088da57b6dad80abc3704294296603316ac95db8a3cc934391ec0f38

Observation 31a6d701-6819-46da-8624-17e969e98810 · outbound

This paper cites Questioning the ai: informing design practices for explainable ai user experiences,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Questioning the ai: informing design practices for explainable ai user experiences,

Reference 70

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:1f14fa3ff87ccc11b9b8479601a3057c81ff1e01da28d76b239843d6ca53e38c

Observation 8f8a4666-ed37-4755-a4ed-cf0d6b0dd678 · outbound

This paper cites Thinking, fast and slow,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Thinking, fast and slow,

Reference 71

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:cd90d869d6af0bc658a482118c833a9177d3faf2963bcf9f53a9bca89a6eba31

Observation 05f02f3c-983f-472f-ae61-3c1580803bb8 · outbound

This paper cites Male,Illustration: a theoretical and contextual perspective.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Male,Illustration: a theoretical and contextual perspective

Reference 72

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:28cc1d5ff2f9a4963d4436f6b1089a2ecf7078889289b0e3f560627bcc5b370d

Observation 6046fdd4-2828-4138-b1cd-5cd8c785eeb2 · outbound

This paper cites Exploratory studies in the effectiveness of visual illustrations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Exploratory studies in the effectiveness of visual illustrations,

Reference 73

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:9c93b34aa9dd9ccd8c924311adc2b5392d21d6fd6877c1abbd6adfbddc8613f4

Observation 626b5559-1f0c-4b91-82af-a7ead2d80528 · outbound

This paper cites Students’ comprehension of science concepts depicted in textbook illustrations,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Students’ comprehension of science concepts depicted in textbook illustrations,

Reference 74

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:b3ba0efa15d6b41b71964413d399134af36adb469ba3f99b64e9bea89ac94c68

Observation ef7b912f-7a71-4376-8588-01103fe9fe00 · outbound

This paper cites Design principles for visual commu- nication,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Design principles for visual commu- nication,

Reference 75

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:813674f0367fa7f0e0f27827a9e119575083db42c7635efc2c8072b25eb7eb1f

Observation 57b8db49-65f3-4c2c-81aa-45ba9c99f8da · outbound

This paper cites Gooch and A.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Gooch and A

Reference 76

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:37581d858d2fdab4dd9066f0dc29886629c0e6b395210f759132de4a6ddbdd00

Observation d4184e68-9419-48e6-ae79-e6f7ec0c8e7f · outbound

This paper cites Introduction to 3d non-photorealistic rendering: Silhouettes and outlines,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Introduction to 3d non-photorealistic rendering: Silhouettes and outlines,

Reference 77

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:748a2f409941965989e33f2dd51f7afc681723612e52aef7d61e09a73aeccba1

Observation 2894b3bc-c080-48f8-a5d6-ca3472886de8 · outbound

This paper cites Vignette: interactive texture design and manipulation with freeform gestures for pen-and-ink illustration,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Vignette: interactive texture design and manipulation with freeform gestures for pen-and-ink illustration,

Reference 78

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:508df13eb197b3468785edd820922d356f0fbfe78826cdbc91f2ef7a9b1cf7c6

Observation e858394b-ee20-43c5-99e4-c54ed4331933 · outbound

This paper cites State of the.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches State of the

Reference 79

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:8f31842de0105a1ae4e9ca62a65d42d5142b096c04a670b3846be97739c5d32d

Observation 382e592c-e379-4dde-ba26-b8ad292d27b2 · outbound

This paper cites The genesis of errors in drawing,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches The genesis of errors in drawing,

Reference 80

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:3e9104c8d6fa0d2f244087a9fc85b9070afb71c87c8a98f421a7eb909e2d4c53

Observation 1ca856a9-b974-42df-a428-08f6d11a221e · outbound

This paper cites A computational approach to edge detection,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches A computational approach to edge detection,

Reference 81

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:6b1b02d992b30194625238c98da3fc2c350684a2f9c8058097d63bb9d1bb398a

Observation 7741c246-1c7e-46c7-aaa0-10751efc9860 · outbound

This paper cites Apdrawinggan: Generating artistic portrait drawings from face photos with hierarchical gans,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Apdrawinggan: Generating artistic portrait drawings from face photos with hierarchical gans,

Reference 82

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:29810f22606b4e53df79363607122a44f8f71539a1518d24987a59bceb2b6ae5

Observation 60c0bf53-cc28-4803-b724-1b9b8586be00 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Image-to-image translation with conditional adversarial networks,

Reference 83

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:7774d6de71c319c0dec15c6aafaf8fdc0dd0870b0e5540b8cebf73c8d6e29466

Observation 5917fd04-4804-4428-97fb-abfd1f505f2e · outbound

This paper cites High- resolution image synthesis and semantic manipulation with conditional gans,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches High- resolution image synthesis and semantic manipulation with conditional gans,

Reference 84

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:7a107e80e394363cad906a373ce0f5b6714ca903a0b3dd84fb66c216ae8c53fb

Observation 1f521cb9-8267-4f5a-afb9-31a3e138c8df · outbound

This paper cites Learning to generate line drawings that convey geometry and semantics,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Learning to generate line drawings that convey geometry and semantics,

Reference 85

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:623da9e867bd8c5a7d808f81ba1e03852ddb361e908254126ddb63f03a62ac10

Observation a4e1d3ba-388c-4291-a56e-094156306640 · outbound

This paper cites A neural representation of sketch drawings,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches A neural representation of sketch drawings,

Reference 86

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:ccb7434f6653e3b5dda38952a7cc2b6fbdbb24c06c2c3f67cc4275863e20d361

Observation 9320993a-df07-4918-ba9a-6f8a273d8465 · outbound

This paper cites Sketchformer: Transformer-based representation for sketched structure,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Sketchformer: Transformer-based representation for sketched structure,

Reference 87

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:d858403cce9f5bfe6efefa21d86404ce279cfaa45053f03c4e6610c50f6b5bc1

Observation 8ad9a9ee-2379-4962-9ad4-be788ea744d5 · outbound

This paper cites Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories

Reference 88

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:f55923d428532bd4b9bbfe519f04433bbcb1ebecba2c1aabc5ed8a5d49e5efbc

Observation da8432c6-dcb0-4cf0-85fd-8fbc1cfd9851 · outbound

This paper cites Differentiable vector graphics rasterization for editing and learning,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Differentiable vector graphics rasterization for editing and learning,

Reference 89

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:9ff949cf5565a5c55545dd2455626af51d8bcbd470aa02ba7166f6af44596139

Observation a1b5d968-badd-4cd4-a38c-b5ac841d6087 · outbound

This paper cites Clipascene: Scene sketch- ing with different types and levels of abstraction,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Clipascene: Scene sketch- ing with different types and levels of abstraction,

Reference 90

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:3196848343b361782e192c4302d5ea8e993c33afc8cb4fa7b3fbdcb77a89a681

Observation 6b73c264-45bf-40cb-947c-790a54fc17f4 · outbound

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

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Learning transferable visual models from natural language supervision,

Reference 91

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:22bafa467676a2b4c335678815ee59b14ced91d5528ba9e1b1f0ad68e75c8d24

Observation ede35f9f-0e0a-4ef9-8384-ffe5b23ec91f · outbound

This paper cites Pr´ecis of simple heuristics that make us smart,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Pr´ecis of simple heuristics that make us smart,

Reference 92

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:5046be77e2e27bb7bae74b0f9899ac548ec8174061b578f9bf4d7f6affa6938c

Observation 5bf39b60-b02e-4f36-bebf-0fcbe7b13a31 · outbound

This paper cites Klein,The power of intuition: How to use your gut feelings to make better decisions at work.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Klein,The power of intuition: How to use your gut feelings to make better decisions at work

Reference 93

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:f9ec53fa43f93b3c3635f37c50a76c33fe0222a16743051a1f68a7ac711fe684

Observation 9cea7f9d-ff42-44f8-8651-f9f9618c3164 · outbound

This paper cites Pytorch library for cam methods,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Pytorch library for cam methods,

Reference 94

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:6abc5396a24381bcb27b489a040aabe39e4a5a33a55c2e946fa06d2cfda365c4

Observation 0a672f72-b2f8-4d14-8eb7-fc140c8fa5ae · outbound

This paper cites Debiased-cam to mitigate image perturbations with faithful visual explanations of machine learning,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Debiased-cam to mitigate image perturbations with faithful visual explanations of machine learning,

Reference 95

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:963ba0b8e723148c3aa30e0bf8b2c616e96cf2292cb9eeba7078ac3f4256a1d5

Observation 92371a02-c8cb-40ad-a1e6-075f3601997e · outbound

This paper cites Towards automated circuit discovery for mechanistic interpretability,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Towards automated circuit discovery for mechanistic interpretability,

Reference 96

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:7223690b560bf3126665b5f1b511538bfaea12c02141359a3c8a3ab8e6fc9e89

Observation 7d4e6abe-779e-47c4-9f5c-5f5ef3d1cb7f · outbound

This paper cites Visualizing higher-layer features of a deep network,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Visualizing higher-layer features of a deep network,

Reference 97

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:7d77a0d43eb503ea90b8e3caeddcf91fb2cd5eb772671567286849f11949ba8a

Observation 6913cc89-0d90-453c-9289-55e2303c1821 · outbound

This paper cites Adam: A method for stochastic optimization,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Adam: A method for stochastic optimization,

Reference 98

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:c5179e49660d7501544b51bfe1b0e4e03fe0966d20ab1d6fb6980eb15cd2be01

Observation 0853ad31-71e2-4ad8-beec-c28643124f8b · outbound

This paper cites Clipdraw: exploring text-to-drawing synthesis through language-image encoders,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches Clipdraw: exploring text-to-drawing synthesis through language-image encoders,

Reference 99

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:77973d65a262030b06061f937e70b1524faac95628a19382a8af140f59ee0544

Observation 4cd207fb-8ea2-4eab-a569-b24890759b93 · outbound

This paper cites You look stressed: A pilot study on facial action unit activity in the context of psychosocial stress,.

SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches You look stressed: A pilot study on facial action unit activity in the context of psychosocial stress,

Reference 100

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source=pdf_text observed=2026-06-26T23:27:10.115215Z digest=sha256:89efa44990e29a03c0d52f4ca0545f5fa8648d2f9e4ef4510deced4f85e16ad2

Pith citing papers

No inbound Pith citation observations are available.