Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:27.894262Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T17:53:25.810621Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 397d5a4b-9bc8-4ee5-983a-e9e7044379e4 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2959c5a-da06-4018-a752-d47b39314c74 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58dcdb0b-472c-42f2-af84-20fbfe215762 · inbound
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
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.
Observation dd7314d1-8509-4f5c-a682-be079fc01755 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.