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Paper Citation Record · LEDGER

Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.07842.

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

pith.paper-citation-record.v1
1802.07842 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:50.128557Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T02:29:25.180979Z

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 80b18d47-1fa3-434a-94ef-4d9db26a8185 · inbound

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning cites this paper.

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:50.128557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:50.128557Z digest=sha256:851a479c40685e8c7f3d465a008975e03f8dfc7904e76a61982c383edcf9de97

Observation 693a3d4a-adbd-4c11-a1ba-6fecadcbec72 · inbound

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise cites this paper.

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation

Reference 178

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T02:29:25.184437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-21T02:27:24.989781Z digest=sha256:016dca20c0856ae164c6dcc217949001c7eedf11fd9120f373b4b5a98e6de128