Pith. sign in

Paper Citation Record · LEDGER

Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.06659.

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

pith.paper-citation-record.v1
2312.06659 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:13.932048Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:49.418175Z

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 a115e582-f4c1-4f97-874b-d709fb4e066e · inbound

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games cites this paper.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:13.932048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:10:13.932048Z digest=sha256:2bdb16eb7b2ce1ff29dc56bc07425951e14c54cd8c27d439c94cd40f2528c6ba

Observation 77caa214-d9d2-4d7b-b3fb-2db2e206c2ba · inbound

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms cites this paper.

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:56:27.975267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-07T08:41:31.247249Z digest=sha256:c261abd8a8f8f12f4c9253ba54c5781da6669ba75b19cbf8599cd51a6c7ae463

Observation 7ebb0b11-2b0f-442e-a981-22d147533291 · inbound

Mean Field Reinforcement Learning cites this paper.

Mean Field Reinforcement Learning Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T19:08:49.419486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T19:00:24.646789Z digest=sha256:6d77bb40307bfad182880e32e8173f8aea1d4b2d0da4f7fe48d0c4bf1ce71b86