Paper Citation Record · LEDGER

Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1806.03000.

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

pith.paper-citation-record.v1
1806.03000 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:23:48.576873Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T21:32:10.231236Z

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 4595a630-89a6-4335-80a3-e8f54ecbb667 · inbound

Free-Lunch Saliency via Attention in Atari Agents cites this paper.

Free-Lunch Saliency via Attention in Atari Agents Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:45:56.239901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8234c6e-f33c-4a0b-bf4f-a6304dfd3da7 · inbound

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing cites this paper.

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T11:42:30.407459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166444cd-236e-46c6-ba1d-3c9c30dce843 · inbound

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

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-22T21:32:10.233963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d969fac0-1ce8-49c6-90a6-7df28aa2064f · inbound

Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction cites this paper.

Applicability Evaluation of Selected xAI Methods for Machine Learning Algorithms for Signal Parameters Extraction Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:48.576873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.