Paper Citation Record · LEDGER

Efficient Decompositional Rule Extraction for Deep Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.12628.

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

pith.paper-citation-record.v1
2111.12628 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:33:45.520294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:15:09.501190Z

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 9d0b2707-2373-4e5d-81d7-9a9db7245f7d · inbound

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review cites this paper.

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Efficient Decompositional Rule Extraction for Deep Neural Networks

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T15:33:45.520294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8042bbde-95aa-4ff5-81a9-aceb0bc4e853 · inbound

Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation cites this paper.

Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation Efficient Decompositional Rule Extraction for Deep Neural Networks

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:36.234915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3fbce4e-709a-40fe-8718-237f70c9571a · inbound

Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation cites this paper.

Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation Efficient Decompositional Rule Extraction for Deep Neural Networks

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:15:09.502497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e5bbbaa-e63b-4bad-ae04-cb99d59988ef · inbound

Evolutionary Rule Extraction from Corporate Default Prediction Models cites this paper.

Evolutionary Rule Extraction from Corporate Default Prediction Models Efficient Decompositional Rule Extraction for Deep Neural Networks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.242993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.