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Paper Citation Record · LEDGER

IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.06350.

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

pith.paper-citation-record.v1
2403.06350 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:00:04.045801Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T02:53:29.780883Z

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 a3e532c2-c378-4adb-844e-e17034722e63 · inbound

Krutrim LLM: Multilingual Foundational Model for over a Billion People cites this paper.

Krutrim LLM: Multilingual Foundational Model for over a Billion People IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T16:00:04.045801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:00:04.045801Z digest=sha256:6a17711dc3444f9b7273c0c4f407d965a472db07de4d77ce4839f9d690f549d4

Observation 9237c58e-831f-43db-96e3-d6ec5028e992 · inbound

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods cites this paper.

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:28.769915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:44:28.769915Z digest=sha256:c07155c4d236f20c6dea27fc278e16a299230c22b1daeba19fc44e3d849e6933

Observation ab275403-84c5-447e-86d0-96b6802e314c · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:38.868060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:46:38.868060Z digest=sha256:5c7b847d928995d780c2f1e503eed3a746509fde3a6220f4ba92a8d994025f11

Observation 8ed5ac82-8a1c-4c97-9785-b523bb4853c4 · inbound

PARAM-1 BharatGen 2.9B Model cites this paper.

PARAM-1 BharatGen 2.9B Model IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:04:02.094590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:02.094590Z digest=sha256:2dffdb2a7088a671afbad58db733897161106b7b3c26cdc3a680c8701205cea0

Observation 78b6c77a-9eb2-4b4e-bc04-58c8562955c1 · inbound

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs cites this paper.

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:53:29.782106Z

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.

source=arxiv_source observed=2026-05-10T02:49:21.124253Z digest=sha256:af8edeb74e99c8b36a49a4779ea16ca038282706c6234a609f30e740164a2dd7