Pith. sign in

Paper Citation Record · LEDGER

Query-efficient Meta Attack to Deep Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.02398.

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

pith.paper-citation-record.v1
1906.02398 v3

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 2026-08-16T00:32:37.201474Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:24:45.970069Z

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 8d1a3c5f-d70c-41aa-be6a-3342d938a209 · inbound

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters cites this paper.

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters Query-efficient Meta Attack to Deep Neural Networks

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T15:24:45.977753Z

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=2026-08-10T15:24:45.718154Z digest=sha256:2de5636477ba4b59cb1b710f0263cbe35f2286b51162aa352ac30f39a954926d

Observation 819b2f7a-9bba-43ff-9613-3ba7ea9297b3 · inbound

Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks cites this paper.

Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks Query-efficient Meta Attack to Deep Neural Networks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:32:37.201474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:32:37.201474Z digest=sha256:53ae0b918304353a3f5791d3d4b84d24d5c5c8a81c1655d9f184acd1ce408c55