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Paper Citation Record · LEDGER

On Hiding Neural Networks Inside Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.10078.

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

pith.paper-citation-record.v1
2002.10078 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:02:19.713414Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:39:31.005261Z

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 b40fab6a-ceb5-45fb-a066-5f979c55347d · inbound

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger cites this paper.

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger On Hiding Neural Networks Inside Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:19.713414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:02:19.713414Z digest=sha256:e215ba44105bbe42f42433558bb60e2bb5284f9dcb674ee1db8d744e98c87ad9

Observation fea67824-ee53-4f24-a211-8af583c83312 · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense On Hiding Neural Networks Inside Neural Networks

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:39:31.106223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:39:16.992202Z digest=sha256:5348677eb7c8df2bad0858fb955fd0a7a1cc4f2312f4bc6eaa7b2bd1248d3644