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Paper Citation Record · LEDGER

Weight Agnostic Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.04358.

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

pith.paper-citation-record.v1
1906.04358 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:17:56.705120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T22:25:01.468276Z

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 0c82ee35-d37a-40ed-802e-cb4343b47e6a · inbound

Deep network as memory space: complexity, generalization, disentangled representation and interpretability cites this paper.

Deep network as memory space: complexity, generalization, disentangled representation and interpretability Weight Agnostic Neural Networks

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-24T22:25:01.471478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-24T22:24:30.391476Z digest=sha256:a72c722b0f5364c1971eb10aaae2b4b851e4cb8deca174bf95fa56543a4f3731

Observation b438aaa7-ffe4-4bf8-90b5-170587b97907 · inbound

Creating Hierarchical Dispositions of Needs in an Agent cites this paper.

Creating Hierarchical Dispositions of Needs in an Agent Weight Agnostic Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T14:17:56.705120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:17:56.705120Z digest=sha256:45a5966711ee93e3b7bc47f2d010bde05427e8193e92f9f4c6be4b36a5b9d9ac