Pith. sign in

Paper Citation Record · LEDGER

Computational Law: Datasets, Benchmarks, and Ontologies

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.04305.

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

pith.paper-citation-record.v1
2503.04305 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:39.496385Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:22:43.378367Z

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 c6efd149-b729-4e46-b3d2-2d8f3b36ba84 · inbound

Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability cites this paper.

Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability Computational Law: Datasets, Benchmarks, and Ontologies

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.496385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.496385Z digest=sha256:73e6d4b095a3707301e3ffaca3f4ae5c9e5832cd8afc2ebac954f28cfc00764a

Observation 2195cabb-f023-48b1-a646-c974a5813db4 · inbound

Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs cites this paper.

Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs Computational Law: Datasets, Benchmarks, and Ontologies

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:44.740253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:44.740253Z digest=sha256:b02fab8051abac49eefe85d210de1d83b7f8e9c74956ab80beae89b51538fdad

Observation 9d1e1e8b-a39b-4939-ad07-d55d960535f1 · inbound

LegalPincite: Multi-level Legal Information Retrieval Dataset cites this paper.

LegalPincite: Multi-level Legal Information Retrieval Dataset Computational Law: Datasets, Benchmarks, and Ontologies

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:22:43.382928Z

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=2026-08-05T13:22:39.096782Z digest=sha256:520e7030f42893dc19c35eec850be4cd8f2b43c09e030896ea447a985596ad66