Paper Citation Record · LEDGER

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation

As of 12 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.03857.

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

pith.paper-citation-record.v1
2506.03857 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:01:31.921348Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d30e2398-14bd-4007-8dcb-699360fe0d9b · outbound

This paper cites , m with corresponding eigenvectors vi = ui.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation , m with corresponding eigenvectors vi = ui

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.581893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46aeb520-7894-4893-b92f-4f5c878fae45 · outbound

This paper cites , n with corresponding eigenvectors orthogonal to the columns of U.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation , n with corresponding eigenvectors orthogonal to the columns of U

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.504163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9903350f-262f-4712-a035-e8b23fbdabb0 · outbound

This paper cites , m and the corresponding eigenvectors vi.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation , m and the corresponding eigenvectors vi

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.166182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddbc4b14-aed7-4e7c-8338-b69fe4993a06 · outbound

This paper cites In Findings of the Associa- tion for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pages 2550–2575.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation In Findings of the Associa- tion for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pages 2550–2575

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.652038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 110aa6e9-78fb-4ec5-8c1f-5228c68bf326 · outbound

This paper cites LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:01:32.025563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6be45ffd-df93-4ceb-a392-f8175753f0c1 · outbound

This paper cites an unresolved cited work.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:01:32.417160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42bf0cbf-e175-4867-b3fd-d7f4a30bf171 · outbound

This paper cites , C and the corresponding eigenvectors ui.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation , C and the corresponding eigenvectors ui

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.346130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96e066b1-1d82-407a-a02d-77161e3bcae6 · outbound

This paper cites an unresolved cited work.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:01:32.292717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c4595a5-5182-404b-825c-8ba2a8ab544d · outbound

This paper cites , C: λi = m C σi + (1 − a) = m C (a − b) + (1 − a) and the eigenvectors vi = q C m Y ⊤ui.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation , C: λi = m C σi + (1 − a) = m C (a − b) + (1 − a) and the eigenvectors vi = q C m Y ⊤ui

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.216722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb6275da-49d6-4b68-9e65-0f3dbfde523c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Distilling the Knowledge in a Neural Network

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.548369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc776c3f-5aab-4262-9587-d9da0e309191 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation LaMDA: Language Models for Dialog Applications

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.619370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fa4c14-a4d4-43f2-8541-b6d8418fb6a2 · outbound

This paper cites Efficient Intent Detection with Dual Sentence Encoders.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Efficient Intent Detection with Dual Sentence Encoders

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.414604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a56a210-c100-4270-84e3-4119f4a21dd0 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.445311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e8af0c7-399c-4a34-a539-655d3c378448 · outbound

This paper cites ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.478037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4da5d5-b7bd-47db-8ce9-9fea18206c16 · outbound

This paper cites Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, and Weizhu Chen.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, and Weizhu Chen

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:01:32.718900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 511cf08b-1dd3-4dd1-b050-a5a4109f85ff · outbound

This paper cites GPT-4 Technical Report.

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation GPT-4 Technical Report

Reference 8098

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:31.581924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.