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Paper Citation Record · LEDGER

Legal Requirements Analysis

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.13871.

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

pith.paper-citation-record.v1
2311.13871 v3

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:08.683561Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc831020-dc26-4a6d-aa08-7b2929500e5f · inbound

Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations cites this paper.

Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations Legal Requirements Analysis

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:56.087931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:51:56.087931Z digest=sha256:aafd651920a4a74ab88114dc84ced0d8ee630960a0bae8d2df1b15b02b374c1b

Observation 0d3b4c01-e72e-4eef-86bf-47807c7f2a15 · inbound

Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models cites this paper.

Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models Legal Requirements Analysis

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T11:00:08.683561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:00:08.683561Z digest=sha256:89cbc21ab6f3621c870abeba24ce383a59eea55afeee4bd100b9e5338d7e8a52

Observation 1c87766e-870a-4481-8e6c-9d4121c68371 · inbound

A Rapid Review Regarding the Concept of Legal Requirements in Requirements Engineering cites this paper.

A Rapid Review Regarding the Concept of Legal Requirements in Requirements Engineering Legal Requirements Analysis

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T04:41:19.581626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T04:41:19.400956Z digest=sha256:a94cc171ff77261bdb6b36785807392b17db4414da8a9d580b6b54f9a3413564