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Paper Citation Record · LEDGER

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.11149.

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

pith.paper-citation-record.v1
2004.11149 v7

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:26:40.361453Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

37
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0487d32f-a552-4b10-bf89-8054a4d9d6a9 · inbound

Memory-Reduced Meta-Learning with Guaranteed Convergence cites this paper.

Memory-Reduced Meta-Learning with Guaranteed Convergence A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:26:40.361453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:26:40.361453Z digest=sha256:1961765b7619fa7c37ef575fa9612fbb68e70bba4146f120bef249cca60230e9

Observation 7b504ec7-78e6-4bbf-a4de-7f6899298157 · inbound

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation cites this paper.

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:07:57.932803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T14:07:57.595287Z digest=sha256:8015de1f8d3ea3fcf443c23360ec563c3edc82550c356cafdf7bc789d951599e