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Paper Citation Record · LEDGER

A Machine Learning Method for Stackelberg Mean Field Games

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.10440.

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

pith.paper-citation-record.v1
2302.10440 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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:33:45.258477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:53:38.566507Z

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 06076a18-afbc-4d3a-871b-ed99a7c6f3cb · inbound

Closed-loop equilibria for Stackelberg games: a story about stochastic targets cites this paper.

Closed-loop equilibria for Stackelberg games: a story about stochastic targets A Machine Learning Method for Stackelberg Mean Field Games

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:53:38.569469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T23:52:43.841296Z digest=sha256:13df988a095887294ce61292a6e85e3cbdc84b58e9d57441cb4b03385509cffc

Observation 1713146b-a5b9-42c3-9a12-96207b82688b · inbound

Neural Operators Can Play Dynamic Stackelberg Games cites this paper.

Neural Operators Can Play Dynamic Stackelberg Games A Machine Learning Method for Stackelberg Mean Field Games

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T20:33:45.258477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:33:45.258477Z digest=sha256:1589c8475c4c0d6b6233e966143e07c28112ece4931f10f312b5ae47e7a33060

Observation e0343301-3ff7-4216-8e96-88335d9442cd · inbound

Linear-Quadratic Stackelberg Mean Field Games and Teams with Arbitrary Population Sizes cites this paper.

Linear-Quadratic Stackelberg Mean Field Games and Teams with Arbitrary Population Sizes A Machine Learning Method for Stackelberg Mean Field Games

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:04:44.564984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:04:44.564984Z digest=sha256:b757f3dc8c694b2d68fc1c0a59769852cdda9a4347234d38f8a480d67389e59e