Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 25 of 25 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 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:57.326630Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy11
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2be52288-bbc4-4088-a0de-bc6d986ddec0 · outbound

This paper cites an unresolved cited work.

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

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:42:57.649639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1a400cd-f554-4748-a043-dbdeb7058444 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Training Verifiers to Solve Math Word Problems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.224370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8df1d10-35b3-46aa-80bc-cf8342a7f0f5 · outbound

This paper cites In-context Reinforcement Learning with Algorithm Distillation.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning In-context Reinforcement Learning with Algorithm Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.229434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da34d51-8e37-41a4-b5f9-521ab7877fd6 · outbound

This paper cites Please answer each question step by step and provide the final answer following the instructions below.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Please answer each question step by step and provide the final answer following the instructions below

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.612096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da7894d2-8988-4599-b826-2a843810cea3 · outbound

This paper cites dialogue.

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

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:42:57.434927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2415dc86-d8ff-4546-bc50-6edb5e9cfe6a · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.254132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1fc68a-b948-42ef-a181-a8511750b2c9 · outbound

This paper cites Replace `<number>` with the correct final result (either an integer or a floating - point number).

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Replace `<number>` with the correct final result (either an integer or a floating - point number)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.635920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c012d33-3963-41c8-bac7-bbbdb8cad640 · outbound

This paper cites an unresolved cited work.

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

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.268096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1cfa76f-0a2e-4010-8f78-6592e3a7d530 · outbound

This paper cites The medium bed can house 3 rows with 20 seeds being sown per row, so that's 320 = <<320=60>>60 seeds.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning The medium bed can house 3 rows with 20 seeds being sown per row, so that's 3*20 = <<3*20=60>>60 seeds

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.597806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f57ca02-17dc-4453-a607-da77e3a9d2cb · outbound

This paper cites an unresolved cited work.

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

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:42:57.583550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ef01f4d-dd05-48da-96b6-ae681d56f909 · outbound

This paper cites an unresolved cited work.

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.286722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165cafa4-957c-493c-a9fc-204dd96146e5 · outbound

This paper cites Given a specific healthcare topic or issue, explain potential ethical considerations and implications.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Given a specific healthcare topic or issue, explain potential ethical considerations and implications

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.560241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecf31cbd-efa4-4b8c-9b60-e7e9fa5b1413 · outbound

This paper cites an unresolved cited work.

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

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.294493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf80d1a-0b02-435c-bcdb-9f61f3403091 · outbound

This paper cites an unresolved cited work.

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

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.298296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d7db35b-d7a5-43d6-9782-ef8f262712e0 · outbound

This paper cites No valid content to summarize.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning No valid content to summarize

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.525721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60270600-0b60-4f7d-b76b-836fa0793e21 · outbound

This paper cites Dialogue 2:.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Dialogue 2:

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.509168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2af050d5-e5b5-44cd-aadb-dee67be3aa22 · outbound

This paper cites Ensure the dialogue is meaningful and engaging.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Ensure the dialogue is meaningful and engaging

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.493373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 936adffb-d604-4c87-b612-e68083fc2537 · outbound

This paper cites an unresolved cited work.

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

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:42:57.478032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dbf067d9-d5f4-431c-afd6-129299ec1840 · outbound

This paper cites No valid content to summarize.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning No valid content to summarize

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.463271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97f2fe74-c147-4f38-a012-a59d66d03e18 · outbound

This paper cites an unresolved cited work.

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

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:42:57.449228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 129819cc-b5ff-447d-83d3-d455730845b2 · outbound

This paper cites Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.234372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7576a535-0120-465b-87e1-f45e27b0f7d1 · outbound

This paper cites InFindings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 5062–5074, Online.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning InFindings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 5062–5074, Online

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.691249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aaf6c3c7-f388-4e86-a12e-d0af10728a70 · outbound

This paper cites Mansheej Paul, Surya Ganguli, and Gintare Karolina Dziugaite.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Mansheej Paul, Surya Ganguli, and Gintare Karolina Dziugaite

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.676137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2fd7e13-1738-4f80-a2df-0807b7e776b9 · outbound

This paper cites InThe Eleventh International Confer- ence on Learning Representations.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning InThe Eleventh International Confer- ence on Learning Representations

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:57.662866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a42fd6d8-772a-4ddf-848b-0e5a7fdd20a4 · outbound

This paper cites Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.244230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.