Paper Citation Record · LEDGER

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2506.21564.

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

pith.paper-citation-record.v1
2506.21564 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:31:14.925398Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88b23af6-5b55-437b-a619-938414c31434 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:13.730839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba1f44f-6d1a-4a01-960f-ae38f1867cc8 · outbound

This paper cites Phi-4 Technical Report.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Phi-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:13.812046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8202bc3-9317-4110-a430-35d85364e5f7 · outbound

This paper cites an unresolved cited work.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:15.963492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9fe9cebc-e6f1-4699-bb86-c21cadfbf7e4 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.003287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5629339e-8bbf-4afa-b18b-7553dddd356e · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.078002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3286538e-ff5d-49b6-927d-9dd4abdf2a84 · outbound

This paper cites an unresolved cited work.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:15.694430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 176dc988-8306-42f7-85db-3669d7522d9b · outbound

This paper cites Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.195032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ad1989-b954-43ad-9ed9-a4ec15c414b0 · outbound

This paper cites Entity Framing and Role Portrayal in the News.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Entity Framing and Role Portrayal in the News

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.243475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e637d207-0b4d-418a-9722-952fcc1d4088 · outbound

This paper cites an unresolved cited work.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:15.584169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ed18429-cc97-4c8d-8a07-a528985879f7 · outbound

This paper cites Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.360627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e97da6-c9f0-47f6-8375-7c1428e23ca9 · outbound

This paper cites an unresolved cited work.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:15.417726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf73bab8-6827-4129-9f85-04c93f5784a6 · outbound

This paper cites A Survey on Data Selection for LLM Instruction Tuning.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing A Survey on Data Selection for LLM Instruction Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.490902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b94b04-756d-4f44-8ad6-0e6f6c53807a · outbound

This paper cites Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.535640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cd11b21-aede-4e7b-a69c-555906fdcf64 · outbound

This paper cites Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.596242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aacef32e-6dee-4018-869c-258a14c7d368 · outbound

This paper cites Qwen2.5 Technical Report.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Qwen2.5 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.675362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f490ce6-cf01-494f-8ed3-ced4dd0a9cee · outbound

This paper cites an unresolved cited work.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.783907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b7b9dd-1d2c-4569-b473-a398647557b9 · outbound

This paper cites URL: " 'urlintro :=.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing URL: " 'urlintro :=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.848671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d4d4e0d-57b8-4062-832b-d5758d10104d · outbound

This paper cites write newline.

Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing write newline

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:14.925398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.