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Paper Citation Record · LEDGER

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.12848.

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

pith.paper-citation-record.v1
2407.12848 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:35:58.883612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:13:45.074366Z

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 26b36500-190a-408b-97aa-f594367fcfd0 · inbound

A Comprehensive Survey on Legal Summarization: Challenges and Future Directions cites this paper.

A Comprehensive Survey on Legal Summarization: Challenges and Future Directions Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T04:35:58.883612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:35:58.883612Z digest=sha256:2361de80baade617e0bdbc0344f9057b0f04d8359ba1b556fd450f8091691e5e

Observation 056d78f2-883c-4792-bb60-20eefdb896fa · inbound

Maat: The Agentic Legal Research Assistant for Competition Protection cites this paper.

Maat: The Agentic Legal Research Assistant for Competition Protection Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:13:45.076252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:36:09.830236Z digest=sha256:41abbc926929de6867d33a916d7e1ed0423499f9cbc95d7f2c20ca1868f817ec