Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Building pre-train LLM Dataset for the INDIC Languages: a case study on Hindi
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.09855.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:27:34.441542Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T16:38:11.254812Z
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 6b17f21f-fde3-4d86-a882-e1642f5193a9 · inbound
LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models cites this paper.
LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models Building pre-train LLM Dataset for the INDIC Languages: a case study on Hindi
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:27:34.441542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3b715f1-8d2c-4631-a33e-5370e94de024 · inbound
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research Building pre-train LLM Dataset for the INDIC Languages: a case study on Hindi
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T16:38:11.257542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.