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Paper Citation Record · LEDGER

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.00420.

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

pith.paper-citation-record.v1
2403.00420 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:30:12.228815Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:01:08.455480Z

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 ef5b6cc1-b2c0-4482-bfd0-f62f49c8c9ca · inbound

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation cites this paper.

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T19:30:12.228815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:30:12.228815Z digest=sha256:e4ff3c38226b7e45ac8469fadfe54772d3f66b8af6bc3a77dbb0b5ca2b13bde5

Observation 8a92039a-e59f-4f6b-9db3-f36e5f07bcd1 · inbound

Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game cites this paper.

Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:01:08.462969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:01:08.404951Z digest=sha256:6793d3d10bf1a0f2f54e0fa2f600e3f141581b7b498a507f23a0796f612eebf2