Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Investigating the influence of noise and distractors on the interpretation of neural networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1611.07270.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:52:52.035056Z
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 0a8b1ba8-831e-4eba-93b8-35a7fd2e4672 · inbound
NormXLogit: The Head-on-Top Never Lies cites this paper.
NormXLogit: The Head-on-Top Never Lies Investigating the influence of noise and distractors on the interpretation of neural networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:28:03.273903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 378adeea-0104-4a4c-bf28-08626ae1df59 · inbound
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions cites this paper.
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions Investigating the influence of noise and distractors on the interpretation of neural networks
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:52:52.035056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9056f880-b3de-4b27-99af-03d8a833a86a · inbound
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task cites this paper.
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Investigating the influence of noise and distractors on the interpretation of neural networks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:00:08.048734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-15T06:32:42.880941+00:00.
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.