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Paper Citation Record · LEDGER

Aalap: AI Assistant for Legal & Paralegal Functions in India

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01758.

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

pith.paper-citation-record.v1
2402.01758 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:27.901313Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:12:23.702691Z

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 4a0c7423-a6da-45bd-a435-85c7f6d8a75f · inbound

NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis cites this paper.

NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis Aalap: AI Assistant for Legal & Paralegal Functions in India

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T17:55:27.901313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:55:27.901313Z digest=sha256:631c394201e9ca059dfa865a192cd773b6060feff74b8bbb2b48b815f151f4fa

Observation 1a904251-a095-423c-b305-db7118cccdb3 · inbound

Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context cites this paper.

Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context Aalap: AI Assistant for Legal & Paralegal Functions in India

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:12:23.719036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T14:08:21.043186Z digest=sha256:57410438f94d37ff60f8db6b0360de87d451905b0da22fcbd05f067987f4699b