Paper Citation Record · LEDGER

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2602.24060.

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

pith.paper-citation-record.v1
2602.24060 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:07:28.319758Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebab4904-20cd-4794-919e-7c6411e6cac4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.336384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29b051d-12a6-40ec-9b1c-4ed991005364 · outbound

This paper cites In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.361190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc7ecf7e-13c2-4e91-bcb8-21cffe12ab7d · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis In: Findings of the Association for Computational Linguistics: ACL

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.378299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62d429c-b9aa-44b6-9cc3-62ad5d814047 · outbound

This paper cites IEEE Intelligent Systems 40(6), 52–63 (2025).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis IEEE Intelligent Systems 40(6), 52–63 (2025)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.516450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b521180c-fcaa-4767-8c73-eb0554d3d20e · outbound

This paper cites https://www.ibm.com/granite/docs/models/granite/ (2025), accessed on July 20, 2025 12 D.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis https://www.ibm.com/granite/docs/models/granite/ (2025), accessed on July 20, 2025 12 D

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.553647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8b6aab-b836-4bac-a734-5725b0d1bdbc · outbound

This paper cites Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.642037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625486c3-2aa0-42cb-be1b-2e18b6d7e9bf · outbound

This paper cites In: IEEE 10th International Conference on Awareness Science and Technology (iCAST).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis In: IEEE 10th International Conference on Awareness Science and Technology (iCAST)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.726971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71c4aa8d-703b-405a-b9be-7de45eb694b5 · outbound

This paper cites Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.836462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df0d77e0-f225-4cf3-8e39-cbebdd2069a2 · outbound

This paper cites Qwen3 Technical Report.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Qwen3 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:27.921278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f7f2d9e-b2fd-4310-9f85-63e6be00e0ed · outbound

This paper cites Magistral.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Magistral

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.015727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a07b2ff-a511-40a5-a27a-7a914377cd1a · outbound

This paper cites International Journal of Advanced Computer Science and Applications 13(9), 618–624 (2022).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis International Journal of Advanced Computer Science and Applications 13(9), 618–624 (2022)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.063816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23538e0-3c62-452a-aaa6-d98f72f05019 · outbound

This paper cites Artiﬁcial Intelligence Review 58(3), 75 (2025).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Artiﬁcial Intelligence Review 58(3), 75 (2025)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.121930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a48de0f-957a-4bf2-b321-96737436680c · outbound

This paper cites In: Advances in neural information processing systems.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis In: Advances in neural information processing systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.164555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21274386-1aea-4956-a0a7-5aa9ae64a1e3 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis A Survey on Knowledge Distillation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.184591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc0150cf-ce7b-412b-87af-c3d298ad1954 · outbound

This paper cites In: Proceedings of NAACL 2024 (2024).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis In: Proceedings of NAACL 2024 (2024)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.222952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0681852b-25d8-4c5c-9cdc-922c0442c690 · outbound

This paper cites arXiv preprint arXiv:2503.03225 (2025).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis arXiv preprint arXiv:2503.03225 (2025)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.319758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 180a9995-d12f-4f1a-a20b-c07521b5db3d · outbound

This paper cites 8003–8017 (2023).

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis 8003–8017 (2023)

Reference 2023

Resolution: parse uncertain; no resolver link, observed 2026-08-02T20:07:27.449862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.