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Paper Citation Record · LEDGER

Learning how to explain neural networks: PatternNet and PatternAttribution

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1705.05598.

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

pith.paper-citation-record.v1
1705.05598 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:39.151997Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T04:37:37.667277Z

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 e47427af-1005-45b4-adf9-8ddf74c680a5 · inbound

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks cites this paper.

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks Learning how to explain neural networks: PatternNet and PatternAttribution

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:39.151997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:42:39.151997Z digest=sha256:81d07e892c8e23bf467be79e8abbf9af7f5d8dae264fed77e54507ad4ff6863c

Observation ea96bb57-d10a-431f-9499-67ce70075b3a · inbound

TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment cites this paper.

TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment Learning how to explain neural networks: PatternNet and PatternAttribution

Reference 184

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T16:47:10.109806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T22:22:01.979434Z digest=sha256:df9cbe1a4c6febd82222d5dff04879165ea4c14a87249960faf73ca3bf5e7d50

Observation ec385bf8-dc89-4a66-97b2-85857358af82 · inbound

In Defense of Information Leakage in Concept-based Models cites this paper.

In Defense of Information Leakage in Concept-based Models Learning how to explain neural networks: PatternNet and PatternAttribution

Reference 72

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T04:37:37.668634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T13:43:55.952527Z digest=sha256:ef2017c851e171b5bd86e9626364ba106a214a3df1bc910a5b9e1a0c83c93ca0