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Paper Citation Record · LEDGER

Axiomatic Attribution for Deep Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:1703.01365.

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

pith.paper-citation-record.v1
1703.01365 v2

Coverage vector

measured 0 of 0 reference resolution

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measured 35 of 35 standing notices

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

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:50:12.797817Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-10T06:15:00.866473Z

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Outbound references

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Pith citing papers

Observation 3bf0021b-71a8-4a60-9c62-e803254677e2 · inbound

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution cites this paper.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Axiomatic Attribution for Deep Networks

Reference 30

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local_arxiv, observed 2026-05-23T04:12:30.688500Z

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

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Observation bd779b0f-0397-454b-9883-475edfee49d0 · inbound

A Giant-Step Baby-Step Classifier For Scalable and Real-Time Anomaly Detection In Industrial Control Systems and Water Treatment Systems cites this paper.

A Giant-Step Baby-Step Classifier For Scalable and Real-Time Anomaly Detection In Industrial Control Systems and Water Treatment Systems Axiomatic Attribution for Deep Networks

Reference 38

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local_arxiv, observed 2026-05-22T18:41:56.371932Z

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Observation 095e63b9-81ac-47e5-84aa-9190c79a3b0c · inbound

What exactly did the Transformer learn from our physics data? cites this paper.

What exactly did the Transformer learn from our physics data? Axiomatic Attribution for Deep Networks

Reference 26

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local_arxiv, observed 2026-05-19T13:32:19.207424Z

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Observation 22720a27-66bf-48bf-b47f-8ed1a908b7a8 · inbound

Extremal Contours: Gradient-driven contours for compact visual attribution cites this paper.

Extremal Contours: Gradient-driven contours for compact visual attribution Axiomatic Attribution for Deep Networks

Reference 14

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local_arxiv, observed 2026-05-18T01:25:34.706083Z

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

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Observation 084d9bf7-cd8b-4f44-a70f-1d68b98ee723 · inbound

Learning Minimal Representations of Fermionic Ground States cites this paper.

Learning Minimal Representations of Fermionic Ground States Axiomatic Attribution for Deep Networks

Reference 61

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e8285cf-785f-4480-afb1-350349f29474 · inbound

From Features to Actions: Explainability in Traditional and Agentic AI Systems cites this paper.

From Features to Actions: Explainability in Traditional and Agentic AI Systems Axiomatic Attribution for Deep Networks

Reference 38

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Unavailable: canonical work link unavailable.

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Observation 57156fc0-c162-4482-9475-6b21f8aee3d9 · inbound

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification cites this paper.

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification Axiomatic Attribution for Deep Networks

Reference 50

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arxiv_id, observed 2026-05-10T20:25:46.715000Z

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Observation 846f7061-da46-491b-ad5e-654f5597c718 · inbound

Uncertainty-Aware Transformers: Conformal Prediction for Language Models cites this paper.

Uncertainty-Aware Transformers: Conformal Prediction for Language Models Axiomatic Attribution for Deep Networks

Reference 22

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arxiv_id, observed 2026-05-11T06:47:09.329361Z

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Observation bb19d8fe-ad1d-457a-9096-c5c13a8da13f · inbound

Reasoning Models Know What's Important, and Encode It in Their Activations cites this paper.

Reasoning Models Know What's Important, and Encode It in Their Activations Axiomatic Attribution for Deep Networks

Reference 2

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local_arxiv, observed 2026-07-05T12:41:04.225252Z

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Observation f224b7f3-9f8e-4a59-bfde-cd47b0fa0143 · inbound

Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning cites this paper.

Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning Axiomatic Attribution for Deep Networks

Reference 70

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Observation 067f53dc-d5e2-49b0-8ed9-fc7e3ade0a34 · inbound

TwinSpecNet: Extending APOGEE's chemical reach to low-S/N spectra via empirical paired learning cites this paper.

TwinSpecNet: Extending APOGEE's chemical reach to low-S/N spectra via empirical paired learning Axiomatic Attribution for Deep Networks

Reference 75

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arxiv_id, observed 2026-05-12T08:56:26.281032Z

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Observation 1127e97d-0ed6-4952-9e4a-9f8afb2713d7 · inbound

Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution cites this paper.

Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution Axiomatic Attribution for Deep Networks

Reference 13

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arxiv_id, observed 2026-05-12T09:16:27.248915Z

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Observation c2575b08-b386-40a6-beae-e3e53760b79e · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Axiomatic Attribution for Deep Networks

Reference 29

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Observation 8825d33b-9520-41ff-aab5-d274313d333a · inbound

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI cites this paper.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Axiomatic Attribution for Deep Networks

Reference 59

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arxiv_id, observed 2026-05-11T16:41:24.608287Z

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Observation c0373115-da4a-4aa1-8d49-af6676819a9e · inbound

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI cites this paper.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Axiomatic Attribution for Deep Networks

Reference 59

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

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Observation f802104e-d309-4c1c-8ae1-6c02587d81b5 · inbound

AI-Generated Images: What Humans and Machines See When They Look at the Same Image cites this paper.

AI-Generated Images: What Humans and Machines See When They Look at the Same Image Axiomatic Attribution for Deep Networks

Reference 42

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Observation 43d9a0a7-dfbd-4240-b11d-03037e3e344f · inbound

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

Architecture-Aware Explanation Auditing for Industrial Visual Inspection Axiomatic Attribution for Deep Networks

Reference 11

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Observation c3c5f150-f4e7-4d09-b190-1f11f7650213 · inbound

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

Architecture-Aware Explanation Auditing for Industrial Visual Inspection Axiomatic Attribution for Deep Networks

Reference 11

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Observation 001cc30f-b8bd-499a-8371-231af17b8dd7 · inbound

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

Architecture-Aware Explanation Auditing for Industrial Visual Inspection Axiomatic Attribution for Deep Networks

Reference 11

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

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Observation 67c32e9c-65e7-47de-8633-2c6c3eb3b57b · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management Axiomatic Attribution for Deep Networks

Reference 72

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Observation 059802d8-a09b-4582-97bf-86e40bc8be68 · inbound

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data cites this paper.

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data Axiomatic Attribution for Deep Networks

Reference 12

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

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Observation 688da919-bf33-469b-b94c-cec515013751 · inbound

How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration cites this paper.

How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration Axiomatic Attribution for Deep Networks

Reference 44

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Observation e656bbc8-24ff-4cdf-96c8-5fe73dfd223b · inbound

Beyond Encoder Accumulation: Measuring Encoder Roles in Multi-Encoder VLMs cites this paper.

Beyond Encoder Accumulation: Measuring Encoder Roles in Multi-Encoder VLMs Axiomatic Attribution for Deep Networks

Reference 32

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The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show cites this paper.

The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show Axiomatic Attribution for Deep Networks

Reference 24

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Observation 34d60f3b-fcf8-4d8e-a272-79284d8b659f · inbound

Learning Entropy and Spatial Adaptation Dynamics of Multilayer Perceptrons for Structural Point Extraction cites this paper.

Learning Entropy and Spatial Adaptation Dynamics of Multilayer Perceptrons for Structural Point Extraction Axiomatic Attribution for Deep Networks

Reference 7

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Observation 0682601a-5cbc-4210-9cd2-8d9d2fa0ac7d · inbound

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

XtrAIn: Training-Guided Occlusion for Feature Attribution Axiomatic Attribution for Deep Networks

Reference 62

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Observation 17505f0f-72c8-4b20-a425-7adb614a1a58 · inbound

Robustness Verification of Recurrent Neural Networks with Abstraction Refinement cites this paper.

Robustness Verification of Recurrent Neural Networks with Abstraction Refinement Axiomatic Attribution for Deep Networks

Reference 11

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local_arxiv, observed 2026-07-03T10:07:55.788433Z

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

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Observation e3e229e1-f4a5-4a90-9789-2a8ec37c4d0b · inbound

Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning cites this paper.

Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning Axiomatic Attribution for Deep Networks

Reference 10

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Observation 285beac1-9545-40ed-a83b-2ab7ddef75a1 · inbound

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks cites this paper.

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks Axiomatic Attribution for Deep Networks

Reference 15

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local_arxiv, observed 2026-07-04T10:09:44.809272Z

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

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Observation 5068adef-fbee-4ca6-80f6-843e6b674273 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior Axiomatic Attribution for Deep Networks

Reference 25

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local_arxiv, observed 2026-06-26T08:49:14.905017Z

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.

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Observation 8bc784f1-a7c5-4ab9-bc60-b5efbf20153e · inbound

How Token Influence Decays with Distance: A Green-Function View of Trained Language Models cites this paper.

How Token Influence Decays with Distance: A Green-Function View of Trained Language Models Axiomatic Attribution for Deep Networks

Reference 17

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local_arxiv, observed 2026-06-30T08:24:26.461094Z

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.

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Observation f74463b9-41a7-48ee-a79f-ae58a8345cd7 · inbound

Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry cites this paper.

Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry Axiomatic Attribution for Deep Networks

Reference 114

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local_arxiv, observed 2026-07-01T09:45:40.130880Z

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.

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Observation 041576cf-09c8-4ed3-b60e-068859b9b3af · inbound

Platonic Projection Structures: Operator-Induced Observability in Representation Learning cites this paper.

Platonic Projection Structures: Operator-Induced Observability in Representation Learning Axiomatic Attribution for Deep Networks

Reference 6

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local_arxiv, observed 2026-07-08T01:14:27.335083Z

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.

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Observation 9a7c105f-7126-4ed4-ae76-abacdd478591 · inbound

Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation cites this paper.

Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation Axiomatic Attribution for Deep Networks

Reference 19

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no resolver link, observed 2026-07-31T10:48:17.195128Z

Source-reported events for the cited work

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CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models cites this paper.

CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models Axiomatic Attribution for Deep Networks

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