Pith. sign in

Paper Citation Record · LEDGER

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.06049.

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

pith.paper-citation-record.v1
2209.06049 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:27.894262Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:53:25.810621Z

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 397d5a4b-9bc8-4ee5-983a-e9e7044379e4 · 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 Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T17:55:27.894262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:55:27.894262Z digest=sha256:4e8a4da4e956544200dda55d401bc19a774eee7056168808a990dadc75d58b3f

Observation f2959c5a-da06-4018-a752-d47b39314c74 · inbound

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

A Comprehensive Survey on Legal Summarization: Challenges and Future Directions Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-10T04:35:59.200283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:35:59.200283Z digest=sha256:37d8e2058fc8305f8e797498f5ed173200dfdd0ec44defa993a6bb353be66a57

Observation 58dcdb0b-472c-42f2-af84-20fbfe215762 · 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 Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:53:25.844746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T17:53:25.276907Z digest=sha256:f4f22d7ba46ed70ab494cff325b6e237cb284b604d41dd9b5ea8e4c91e0a6416

Observation dd7314d1-8509-4f5c-a682-be079fc01755 · inbound

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System cites this paper.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-01T14:17:28.523781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:17:28.523781Z digest=sha256:8da2a8c1dff212901feaf63976d66bf7098ae16ae66aa21214e3abdfa95b6d55