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Paper Citation Record · LEDGER

Universal linguistic inductive biases via meta-learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.16324.

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

pith.paper-citation-record.v1
2006.16324 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 2026-08-07T15:15:46.499299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:25:48.508229Z

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 9177213d-f548-4357-a273-cad6c0644d56 · inbound

Transfer of Structural Knowledge from Synthetic Languages cites this paper.

Transfer of Structural Knowledge from Synthetic Languages Universal linguistic inductive biases via meta-learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:46.499299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:15:46.499299Z digest=sha256:071ee643f5f478fba0478fcee2a14786c980fe2f3c1bf1f3857fcde894ddc28d

Observation 321ab981-f402-44e7-9653-13f2529dc4ff · inbound

Meta-learning as a principle for human-like visual representations cites this paper.

Meta-learning as a principle for human-like visual representations Universal linguistic inductive biases via meta-learning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:48.509880Z

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=2026-06-30T01:27:49.269447Z digest=sha256:4c479776edf34d24ae7c0bdd10a4a9d6201b369758daf08f654e94def8350743