Paper Citation Record · LEDGER

Explaining a black-box using Deep Variational Information Bottleneck Approach

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1902.06918.

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

pith.paper-citation-record.v1
1902.06918 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:18:43.304135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:03:44.577651Z

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 52168f09-c623-4dd3-818b-9bce7e1647d8 · inbound

Neural Image Compression and Explanation cites this paper.

Neural Image Compression and Explanation Explaining a black-box using Deep Variational Information Bottleneck Approach

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T14:18:43.304135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fd569b-82c6-4a49-86a0-05133589fac7 · inbound

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition cites this paper.

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition Explaining a black-box using Deep Variational Information Bottleneck Approach

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:03:44.580754Z

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.

Observation 6c8f0eb1-c35f-41f9-9ca1-00beff9be43d · inbound

A New Technique for AI Explainability using Feature Association Map cites this paper.

A New Technique for AI Explainability using Feature Association Map Explaining a black-box using Deep Variational Information Bottleneck Approach

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:23.015056Z

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.

Observation 00babc97-c8ad-4c1a-9f0c-8b8df00e6b7f · inbound

A New Technique for AI Explainability using Feature Association Map cites this paper.

A New Technique for AI Explainability using Feature Association Map Explaining a black-box using Deep Variational Information Bottleneck Approach

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:59:29.935473Z

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.

Observation c2bf2f94-5d18-4552-975e-db5968088e81 · inbound

A New Technique for AI Explainability using Feature Association Map cites this paper.

A New Technique for AI Explainability using Feature Association Map Explaining a black-box using Deep Variational Information Bottleneck Approach

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:39:47.606521Z

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.