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Paper Citation Record · LEDGER

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.12212.

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

pith.paper-citation-record.v1
2505.12212 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:42:22.425017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:17:50.815149Z

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 743d6ac6-6307-475b-b850-00e59b1f09ba · inbound

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models cites this paper.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:22.425017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:22.425017Z digest=sha256:be21576d1b32c808d3771d4ffaf12dc7c30749968932922f68058855ec33247c

Observation 2bda6020-f87e-4539-8292-d32e86e34f35 · inbound

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization cites this paper.

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:57.964680Z

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=pdf_text observed=2026-05-10T18:06:46.131725Z digest=sha256:b918639a39bf20bb64d42358520cf49db3c82fa65d14aacfc09aa3709f8093b6

Observation 62663dba-f79a-442d-b3fa-bbb6a665b7db · inbound

GRIP-VLM: Group-Relative Importance Pruning for Efficient Vision-Language Models cites this paper.

GRIP-VLM: Group-Relative Importance Pruning for Efficient Vision-Language Models Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:17:50.819402Z

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=pdf_text observed=2026-05-14T19:15:13.205594Z digest=sha256:b7909ec83c3d6222ea692b3e8226f65451a29d6e7063882cf2662abb1ddd0fb1