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Paper Citation Record · LEDGER

Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1802.09766.

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

pith.paper-citation-record.v1
1802.09766 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:14:13.399207Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T11:01:30.880963Z

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 d67cd2af-bf73-4a2a-a45d-896713a6078d · inbound

The HSIC Bottleneck: Deep Learning without Back-Propagation cites this paper.

The HSIC Bottleneck: Deep Learning without Back-Propagation Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:13.399207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:14:13.399207Z digest=sha256:eba7a747d7c2528c12dc7a13b7f44f83381e93890e371f9b4248e29bcf974acf

Observation d732d6b2-cce0-416c-9002-c343300c62c4 · inbound

Feature selection of neural networks is skewed towards the less abstract cue cites this paper.

Feature selection of neural networks is skewed towards the less abstract cue Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T14:31:43.609729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:31:43.609729Z digest=sha256:0b8fbe0f14314aaa24a4b533cc3ab62a16e8491a55781dd239a4c7fc05ccd017

Observation 00711534-b638-496e-afd4-1c70d5435567 · inbound

Information Plane Analysis of Binary Neural Networks cites this paper.

Information Plane Analysis of Binary Neural Networks Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:30.883455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T16:59:46.485374Z digest=sha256:42b58be55563792503404e1c0aebeaae159fc59e177bf01b8429827336c684b4