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Paper Citation Record · LEDGER

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1703.04318.

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

pith.paper-citation-record.v1
1703.04318 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:40:57.070862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:41:07.968636Z

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 6904cd92-7290-487f-bd48-8660cd11bbe5 · inbound

Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey cites this paper.

Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey Blocking Transferability of Adversarial Examples in Black-Box Learning Systems

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:57.070862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:40:57.070862Z digest=sha256:cefb870f8aa64886716f4dd2790a11e4a651146635fd0446275938aa32864cc2

Observation d4c2f914-2270-4c9f-bb19-e5d87b716a20 · inbound

Laundering AI Authority with Adversarial Examples cites this paper.

Laundering AI Authority with Adversarial Examples Blocking Transferability of Adversarial Examples in Black-Box Learning Systems

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:49:10.957678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T17:19:38.662062Z digest=sha256:10999f399dd8d0da91e6b757073bea1ef56b9d6edc64af0030b5561ee7d3713c