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Paper Citation Record · LEDGER

Data-Efficient Graph Grammar Learning for Molecular Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.08031.

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

pith.paper-citation-record.v1
2203.08031 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:54:09.664898Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 e2230bac-c71e-4acb-8563-19057b786095 · inbound

Constrained Adaptive Rejection Sampling cites this paper.

Constrained Adaptive Rejection Sampling Data-Efficient Graph Grammar Learning for Molecular Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T12:54:09.664898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:54:09.664898Z digest=sha256:5a17fbbe16d7b60c29edaabf13a440adc26ff2a98e0aa5551c888ec428bedb59

Observation 3e08ca13-86cd-47cb-b6e6-7b141de31b54 · inbound

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design cites this paper.

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design Data-Efficient Graph Grammar Learning for Molecular Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T07:59:22.767251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:59:22.767251Z digest=sha256:bcf6178f809014d6f7cf5e88d749c87e6c7d05c508deb47f06827a7e8dcd630f