Paper Citation Record · LEDGER

A framework for the extraction of Deep Neural Networks by leveraging public data

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1905.09165.

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

pith.paper-citation-record.v1
1905.09165 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:27:50.006748Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T06:54:31.283345Z

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 e10ecf13-74f0-43ab-ba5c-e7b2a3bdb4f4 · inbound

High Accuracy and High Fidelity Extraction of Neural Networks cites this paper.

High Accuracy and High Fidelity Extraction of Neural Networks A framework for the extraction of Deep Neural Networks by leveraging public data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T05:27:50.006748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0b8030-d57c-4eff-95c0-830ebafae4d2 · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs A framework for the extraction of Deep Neural Networks by leveraging public data

Reference 88

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:54:31.289523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88ca038e-cd15-4682-96a9-468225ef46a4 · inbound

I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks cites this paper.

I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks A framework for the extraction of Deep Neural Networks by leveraging public data

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T14:10:12.389078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824cfe70-8a93-4d66-b030-ec67c61d6555 · inbound

SentAttack: A Sentence-Level Black-Box Adversarial Attack Method for Dense Retrieval Models cites this paper.

SentAttack: A Sentence-Level Black-Box Adversarial Attack Method for Dense Retrieval Models A framework for the extraction of Deep Neural Networks by leveraging public data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T02:21:35.800392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.