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Paper Citation Record · LEDGER

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.09168.

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

pith.paper-citation-record.v1
2310.09168 v3

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 2026-08-07T04:37:08.594090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:30:03.035756Z

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 4f65b1a1-70e8-4d24-aad3-be5f6a819205 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

Reference 233

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:30:03.037254Z

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=2026-05-13T17:30:02.803757Z digest=sha256:bad353884873a96345210c32534e978f588a2e7f4c4d9d0e57c4537f3f33117a

Observation 65486530-44bb-4534-95d2-cd0e4126eb44 · inbound

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs cites this paper.

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.594090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:08.594090Z digest=sha256:e462b29873198e27e9cb6996f4c31c110cee9519c9ce647dc9ea3bb6f07476a8