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Paper Citation Record · LEDGER

Adversarial Inception Backdoor Attacks against Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.13995.

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

pith.paper-citation-record.v1
2410.13995 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:47:32.519317Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:37:42.689532Z

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 99d39d33-da79-4c51-944a-394625008cf6 · 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 Adversarial Inception Backdoor Attacks against Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:32.519317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:47:32.519317Z digest=sha256:0cfacbc06f68b013cf4cfea2785602cb3dade56943091a4a7e2e9a760ccac7f6

Observation 5ccb383d-7c0c-40e5-b314-c259c936fcfc · inbound

ORAN-DEFEND: Subspace Detection and Sanitization of Backdoor DRL xApps in Open RAN cites this paper.

ORAN-DEFEND: Subspace Detection and Sanitization of Backdoor DRL xApps in Open RAN Adversarial Inception Backdoor Attacks against Reinforcement Learning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:37:42.721793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-11T00:28:28.345812Z digest=sha256:10ffb6a6b6fe1f2785133dc6ce71664698e7b96e106c9bdeadb8f9bdc9f07a88