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Paper Citation Record · LEDGER

sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.09879.

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

pith.paper-citation-record.v1
2407.09879 v4

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:05.029759Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:43:49.142015Z

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 b2f193c3-92e0-4cf1-8802-a265776c2a08 · inbound

NanoVLMs: How small can we go and still make coherent Vision Language Models? cites this paper.

NanoVLMs: How small can we go and still make coherent Vision Language Models? sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T13:35:05.029759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:35:05.029759Z digest=sha256:0d5e50416db332f09987a1ad60ea66613d22d76b5c9c60cf73d30d289d50d4cc

Observation 9e3f0367-0bbc-450a-ae1f-5d903a2299a2 · inbound

The Emergence of Abstract Thought in Large Language Models Beyond Any Language cites this paper.

The Emergence of Abstract Thought in Large Language Models Beyond Any Language sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:43:49.300020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T04:43:38.064927Z digest=sha256:2033650927da65bdbff99aec1d4464d2aa0483e28fa9d2a64995df917afb96a0