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Paper Citation Record · LEDGER

Promises and pitfalls of artificial intelligence for legal applications

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:01:31.460434Z

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 ceb82534-19a6-4829-9b9b-349abf136ddc · inbound

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices cites this paper.

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices Promises and pitfalls of artificial intelligence for legal applications

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T17:01:31.460434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:01:31.460434Z digest=sha256:6be8cec5685414f311ee6fe91c795d203f05659eaa6809ebbcc4a7f8123b329a

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:d66d94a99178e4877a97dedd68f504ed7c5f59021e3aa68b47c1ab6449193110

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

Limits of Predictability in Civil Litigation cites this paper.

Limits of Predictability in Civil Litigation 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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T03:47:28.244525Z digest=sha256:99e7290b8a1fc6c610aeff8b3c8a4a2be2af0bd2ad4b6977d81b682a4c9cdaa1