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Paper Citation Record · LEDGER

Learning Clique Forests

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.02266.

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

pith.paper-citation-record.v1
1905.02266 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:27:46.755817Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:35:46.895841Z

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 db77ea86-7be3-4f73-90eb-2ca6888d7f3a · inbound

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications cites this paper.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Learning Clique Forests

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T04:27:46.755817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:27:46.755817Z digest=sha256:923631c76040a7ab133eb071e970c2a5d85e3f9ba3a12e9487792dfd2281da30

Observation 0d1bd189-bc26-4c6d-a489-bb6030d3d237 · inbound

Compositional Sparsity as an Inductive Bias for Neural Architecture Design cites this paper.

Compositional Sparsity as an Inductive Bias for Neural Architecture Design Learning Clique Forests

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.897212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T20:55:03.949611Z digest=sha256:df72aff0fd07d564a6c6d933f603e49466df9c1242e78c01976884660fa597c9