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Paper Citation Record · LEDGER

Estimating Information Flow in Deep Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.05728.

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

pith.paper-citation-record.v1
1810.05728 v4

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:05:55.847559Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:05:55.938049Z

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 a2d42d13-cc94-42cf-936c-b506dd2f3ce4 · inbound

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks cites this paper.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Estimating Information Flow in Deep Neural Networks

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:05:55.947894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:05:55.847559Z digest=sha256:64beae9c085e4130fb6d9b9805a94960359dd8b3c487800116aaa326f771a4ce

Observation dcb7ba72-feea-4d1a-9555-a9c7e7829d32 · inbound

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation cites this paper.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Estimating Information Flow in Deep Neural Networks

Reference 75

Resolution
unresolved
no resolver link, observed 2026-07-12T02:09:45.276180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T02:09:45.276180Z digest=sha256:c9111dc1ca0b9f4cd3bc4774039779362f594f8c60960e8e6e31dff5a5716fcc