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Paper Citation Record · LEDGER

DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.16776.

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

pith.paper-citation-record.v1
2310.16776 v5

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:08:53.231025Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:34:53.044975Z

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 70616070-eb42-4e8d-a74b-a2651c579779 · inbound

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities cites this paper.

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:34:53.050600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-10T17:34:52.371910Z digest=sha256:dc8067d152905d4600e5a7135c32308b72f6288977d26e202d3e8331f2b69162

Observation ad83fe49-6eaf-4f55-a92e-1b650d63fe17 · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T22:08:53.231025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:08:53.231025Z digest=sha256:2152d790f555ea5e1199a8bd1ba8663f478a83b3a9dfc881598af5b88924154a