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Paper Citation Record · LEDGER

Promises and pitfalls of artificial intelligence for legal applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01656.

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

pith.paper-citation-record.v1
2402.01656 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:03:22.090529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:56:16.443348Z

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 12380f44-eb76-4955-9ee5-ac7d8b7a4700 · inbound

Data and AI governance: Promoting equity, ethics, and fairness in large language models cites this paper.

Data and AI governance: Promoting equity, ethics, and fairness in large language models Promises and pitfalls of artificial intelligence for legal applications

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T01:03:22.090529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:03:22.090529Z digest=sha256:a332dfb9a2bd87e48aa15077ab3c0d5adcccf260f3a2bea50e8651690a7118bb

Observation 84ced3c3-aa1a-490b-a01d-e1630430ef98 · inbound

Predicting civil litigation outcomes and the evolution of case complexity and settlement dynamics cites this paper.

Predicting civil litigation outcomes and the evolution of case complexity and settlement dynamics Promises and pitfalls of artificial intelligence for legal applications

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:16.446702Z

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=2026-05-08T03:47:28.244525Z digest=sha256:674a85fe922a826b453f0ea1558cfe9e63d5a1802f5da248bbb6c8358b4430dc