Paper Citation Record · LEDGER

Towards better understanding of gradient-based attribution methods for Deep Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1711.06104.

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

pith.paper-citation-record.v1
1711.06104 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:35:44.124479Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T09:54:35.361639Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1cd4c059-229e-4b6e-928c-247109297966 · inbound

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

On Spectral Properties of Gradient-based Explanation Methods Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T20:35:44.124479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1cb5e0c-f7fc-4d71-a5f0-3a2566a5a2fa · inbound

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts cites this paper.

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T20:20:01.782395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e05a6a0-82e5-4cb8-9c7e-733edc9be1e5 · inbound

Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF) cites this paper.

Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF) Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T04:55:54.311055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0c567a3-6a09-430d-ba34-90ebb5715083 · inbound

Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF) cites this paper.

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:07:21.299158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0279374c-4237-486d-9eea-b9eede67b469 · inbound

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models cites this paper.

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:08:18.013467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1ce4127-c27c-4014-8385-1f64473f3809 · inbound

AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps cites this paper.

AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:27:54.092397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74934315-b9dc-4817-9ef3-6860cb05aa25 · 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 Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T09:54:35.363137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88c4b026-b01b-4cb4-8967-57ae964e187a · inbound

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls cites this paper.

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T07:41:35.446900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d561605f-d8f7-430d-9a34-ce2e33e59e97 · inbound

Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMs cites this paper.

Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMs Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T01:33:50.219659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf3f7145-7f23-4501-b08c-a652474b1488 · inbound

Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMs cites this paper.

Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMs Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:07.839040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.