Paper Citation Record · LEDGER

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

As of 22 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2606.07523.

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

pith.paper-citation-record.v1
2606.07523 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact3
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b2eb9a1-0aaf-432c-bf9a-84873060c82e · outbound

This paper cites Exploring the state of the art in legal QA systems,.

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Exploring the state of the art in legal QA systems,

Reference 1

Resolution: malformed identifier; doi_truncated, observed 2026-07-05T16:01:18.024100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 670c2516-aa8f-4fc9-b4ef-88abdc69eacc · outbound

This paper cites Natural language processing for the legal domain: A survey of tasks, datasets, models, and challenges.

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Natural language processing for the legal domain: A survey of tasks, datasets, models, and challenges

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-05T16:01:18.083362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90670d58-5d7e-4890-88fe-f064b1a6cf0d · outbound

This paper cites Evaluating the Retrieval Robustness of Large Language Models.

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Evaluating the Retrieval Robustness of Large Language Models

Reference 3

Resolution: malformed identifier; local_arxiv, observed 2026-07-05T16:01:18.034289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 443e3dd6-0f26-4a80-8136-0226c4aa803c · outbound

This paper cites Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey.

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T16:01:18.060934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 872520b3-ef27-426d-862b-18cc0c825a0f · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-05T16:01:18.040950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ad1a2e3-d921-4e36-9868-284c4627ba22 · outbound

This paper cites Legal Information Retrieval,.

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering Legal Information Retrieval,

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-05T16:01:18.048039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.