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Paper Citation Record · LEDGER

Architectural Neural Backdoors from First Principles

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.06957.

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

pith.paper-citation-record.v1
2402.06957 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:10.746820Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:47:32.626669Z

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 97c9257d-11e0-4009-b752-278fae881646 · inbound

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning cites this paper.

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning Architectural Neural Backdoors from First Principles

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:10.746820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:10.746820Z digest=sha256:87239470d9615f0b5a0f1fd8a8b58aa11c444125b71993ad78b9bc09ee3635cb

Observation 3293d2a2-c6d0-4573-adac-5eeaf31d9fdb · inbound

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning cites this paper.

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning Architectural Neural Backdoors from First Principles

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:47:32.632658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:47:32.503342Z digest=sha256:fcf6454f4afc08a93b4e29aa49059e37cc1bae3a5ab0ce8c30ae1ea4def208da