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Paper Citation Record · LEDGER

Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.14735.

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

pith.paper-citation-record.v1
2309.14735 v2

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:27.880324Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:53:25.898712Z

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 782a5be8-5a5c-4ae3-96b8-f637e1c48857 · 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 Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T17:55:27.880324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:55:27.880324Z digest=sha256:3a537441d1781c54c6d15221af5c91b112a3df19b24ade07ad7d9f4e77a1e071

Observation 81d9560d-6c32-4509-996b-71908714118b · inbound

LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification cites this paper.

LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:53:25.919697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-08T17:53:25.253918Z digest=sha256:3e75f667548310fdf8ba9c3428e3cceb236e9798fcf0a8342f6e16d248fd73e6

Observation 35155769-f87a-49a6-b2a1-5bbb2b8f707e · inbound

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments cites this paper.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.270853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.270853Z digest=sha256:70c8fa2979ff28f2dfc16366085c0d917742427a5379a4129b2cf13ea6d02a07