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Paper Citation Record · LEDGER

Meta-Learning Representations for Continual Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.12588.

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

pith.paper-citation-record.v1
1905.12588 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:55:06.666158Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:38:17.096686Z

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 f6d35434-a71d-4493-86fe-c9ea17d0afef · inbound

How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks cites this paper.

How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks Meta-Learning Representations for Continual Learning

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T20:55:06.666158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:55:06.666158Z digest=sha256:6a524922a84dfd1ee2ee8863d216d6728025b155733cbab046b2530a7c7c954a

Observation 8cfecb21-51b8-4a28-b40e-34695de09469 · inbound

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning cites this paper.

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning Meta-Learning Representations for Continual Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:38:17.098228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:34:08.993199Z digest=sha256:f32ebbc38f5fb23c251521e563c69408e69cbb21c364a7bda1d425f4fd811dc5