Pith. sign in

Paper Citation Record · LEDGER

SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.11331.

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

pith.paper-citation-record.v1
2410.11331 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:55:43.397257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:24:19.345157Z

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 bd564e33-3a10-42ee-9c5b-676dbbee2368 · inbound

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet cites this paper.

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T19:55:43.397257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:55:43.397257Z digest=sha256:bf34bb0c787063b604db0bb13c7e3adcb4d31d25bca2a254c5999d01761d634b

Observation ce7d4f61-7514-4c45-bc11-2a61da0753dc · inbound

Little Brains, Big Feats: Exploring Compact Language Models cites this paper.

Little Brains, Big Feats: Exploring Compact Language Models SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:24:19.346401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T06:18:11.792566Z digest=sha256:b84da42352efb53e3cd3a19ea63a9dbc6d3a487fae6f3328278f1511a15039d0