Pith. sign in

Paper Citation Record · LEDGER

Meta Learning Backpropagation And Improving It

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.14905.

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

pith.paper-citation-record.v1
2012.14905 v4

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 2026-08-06T19:32:54.259374Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:48:53.625232Z

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 ef54feef-ef75-4208-bffe-0ccc07a83b3a · inbound

Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures cites this paper.

Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures Meta Learning Backpropagation And Improving It

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:54.259374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:54.259374Z digest=sha256:9324fd57038c609fdea0e1814ce1b1e050d9b5692bd92c0fd0388c657026b024

Observation 3a1a5cb6-507c-49c1-adf6-d89d5bf2585e · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Meta Learning Backpropagation And Improving It

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:48:53.690763Z

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=arxiv_source observed=2026-08-06T14:48:47.763840Z digest=sha256:18b576ca9a3cf9bc7f5f1d92f4823481a54085be598cbbc7aefa759d327f773a