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Paper Citation Record · LEDGER

Meta-Learning with Implicit Gradients

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.04630.

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

pith.paper-citation-record.v1
1909.04630 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:20.406654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:01:04.357666Z

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 f0947503-5305-4004-9491-ff345bdf26bc · inbound

Higher-Order Automatic Differentiation Using Symbolic Differential Algebra: Bridging the Gap between Algorithmic and Symbolic Differentiation cites this paper.

Higher-Order Automatic Differentiation Using Symbolic Differential Algebra: Bridging the Gap between Algorithmic and Symbolic Differentiation Meta-Learning with Implicit Gradients

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:20.406654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:20.406654Z digest=sha256:d44d9ca906a4f1d185bb03da9f374a79710a88ca4181d46bb352110945b8b842

Observation 37e7c4b7-f3c1-46bc-a2e9-a0f3209d2ddf · inbound

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates cites this paper.

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates Meta-Learning with Implicit Gradients

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:04.363794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:13:18.231802Z digest=sha256:06db5bfa3f9bb2c52842172e2debfddbc710e5b5c0935349cc2d24977ae8ca8e