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Paper Citation Record · LEDGER

Investigating the influence of noise and distractors on the interpretation of neural networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1611.07270.

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

pith.paper-citation-record.v1
1611.07270 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:05:23.254148Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:31:42.134393Z

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 26a67228-9a2f-48d7-90e5-0dfe4ec71300 · inbound

Machine Understanding of Scientific Language cites this paper.

Machine Understanding of Scientific Language Investigating the influence of noise and distractors on the interpretation of neural networks

Reference 125

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:31:42.139271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:31:40.897738Z digest=sha256:5628e986f8a6b097e95cb213274e87d956b2ec2197bc1dfdd13980c2b8ca9f04

Observation b29ae720-d699-4d02-8f23-2e175f74f463 · inbound

Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System cites this paper.

Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System Investigating the influence of noise and distractors on the interpretation of neural networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T05:05:23.254148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:05:23.254148Z digest=sha256:2b33b33650fdd6a5e609bb61f14a4dddc3b6b2b7c8ce058a353043102bd2fad8