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Paper Citation Record · LEDGER

Weisfeiler and Leman go Machine Learning: The Story so far

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.09992.

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

pith.paper-citation-record.v1
2112.09992 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 2026-08-07T01:03:50.701999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:21:30.267064Z

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 c3820e35-dca9-46a9-89bf-ed869ef6327a · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Weisfeiler and Leman go Machine Learning: The Story so far

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:50.701999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:50.701999Z digest=sha256:b90ec66cd5c99719b8c7ad88e8698a5c28059c4ad72c68b577afa27d9dfdded6

Observation 9d6c09a0-90e3-4285-b668-d3237823a8bc · inbound

On the Expressive Power of GNNs to Solve Linear SDPs cites this paper.

On the Expressive Power of GNNs to Solve Linear SDPs Weisfeiler and Leman go Machine Learning: The Story so far

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:21:30.270253Z

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=pdf_text observed=2026-05-07T06:27:36.438779Z digest=sha256:1956bb7778ebd116f53ce2f7bad08a49b057247bd338533ce0d2bcb74397d2fe