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Paper Citation Record · LEDGER

Meta-Learning in Games

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.14110.

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

pith.paper-citation-record.v1
2209.14110 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:12:21.564197Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:49:54.189513Z

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 b596a79b-8d60-4126-8063-cd608c869269 · inbound

Learning complexity of gradient descent and conjugate gradient algorithms cites this paper.

Learning complexity of gradient descent and conjugate gradient algorithms Meta-Learning in Games

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:21.564197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:12:21.564197Z digest=sha256:d0b249afa374c34a3661ef80643b4b7cf8714d4c79558a9a1c4ee8299dc02ffb

Observation deaa23e6-2cb5-4d47-91b8-93bfde568955 · inbound

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending cites this paper.

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending Meta-Learning in Games

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:49:54.195297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T14:49:53.185523Z digest=sha256:06d8a80126a65a0dfe214b30abc9891cfc70c92c9efb57796bbfeb7175f02aa6