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Paper Citation Record · LEDGER

Meta-Learning without Memorization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.03820.

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

pith.paper-citation-record.v1
1912.03820 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T12:04:10.210508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T12:04:10.725388Z

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 4abd93fb-b345-4a7d-8c4c-a6588ada70ce · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Meta-Learning without Memorization

Reference 161

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:04:10.727803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:01f51386a3bdfa22bffdc6bc17db2f3ea60c0fe4e038179917b1657ec865874f

Observation 90f5263c-a017-446c-934c-a13a29bd363f · inbound

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH cites this paper.

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH Meta-Learning without Memorization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:58.670684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:49:27.948704Z digest=sha256:6803facb4bbe15cdb48b995c512f928c9e4749fa959bf2bb5341754fdaa7bf8d