Paper Citation Record · LEDGER

Evaluating LLMs Capabilities Towards Understanding Social Dynamics

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.13008.

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

pith.paper-citation-record.v1
2411.13008 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:59:41.677026Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

45 of 45 outbound references displayed

verified exact3
verified fuzzy9
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a67df18-86ac-4e99-921c-863b1b35c68d · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 1

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Observation aebb222c-bbe6-43ff-ab93-aa9a4334548e · outbound

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Unresolved cited work

Reference 2

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This paper cites In: Proceedings of the 13th international workshop on semantic evalua- tion.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the 13th international workshop on semantic evalua- tion

Reference 3

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This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 4

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This paper cites In: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Reference 5

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This paper cites In: Proceedings of the 13th international workshop on semantic evaluation.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the 13th international workshop on semantic evaluation

Reference 6

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Observation 7fb26bd2-1d55-47f6-9077-fee254e45cdf · outbound

This paper cites Can LLM-Generated Misinformation Be Detected?.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Can LLM-Generated Misinformation Be Detected?

Reference 7

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This paper cites In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Reference 8

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Observation a5d833e9-869f-4f09-b432-b13219baf68e · outbound

This paper cites Racial Bias in Hate Speech and Abusive Language Detection Datasets.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Racial Bias in Hate Speech and Abusive Language Detection Datasets

Reference 9

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

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Observation 21a0c5b8-b5b0-4fd4-8a81-d8165bd2ff14 · outbound

This paper cites In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C

Reference 11

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Observation 2479367b-e63b-4210-832e-cb4da4d54792 · outbound

This paper cites Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Reference 12

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This paper cites Emotion Detection and Analysis on Social Media.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Emotion Detection and Analysis on Social Media

Reference 13

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the 2018 World Wide Web Con- ference

Reference 14

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics org/10.1016/j.wneu.2023.08.042, https://www.sciencedirect.com/ science/article/pii/S1878875023011440

Reference 15

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Observation 70ee6573-059e-4ab0-b489-03cdea36afb1 · outbound

This paper cites In: Proceedings of the International AAAI Conference on Web and Social Media.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the International AAAI Conference on Web and Social Media

Reference 16

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This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 17

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This paper cites In: Social Informatics: 7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015, Proceedings.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Social Informatics: 7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015, Proceedings

Reference 18

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Unresolved cited work

Reference 19

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics LoRA: Low-Rank Adaptation of Large Language Models

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Com- puters in Human Behavior 130, 107200 (May 2022)

Reference 22

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Unresolved cited work

Reference 23

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This paper cites https://doi.org/ 10.1609/aaai.v32i1.11268, https://ojs.aaai.org/index.php/AAAI/ article/view/11268, number: 1.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics https://doi.org/ 10.1609/aaai.v32i1.11268, https://ojs.aaai.org/index.php/AAAI/ article/view/11268, number: 1

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This paper cites Journal of Experimental & Theoretical Artificial Intelligence 30(2), 187–202 (2018).

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Journal of Experimental & Theoretical Artificial Intelligence 30(2), 187–202 (2018)

Reference 25

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics MetaICL: Learning to Learn In Context

Reference 26

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics BERTweet: A pre-trained language model for English Tweets

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the international AAAI conference on web and social media

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Compositional Semantic Parsing on Semi-Structured Tables

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Know What You Don't Know: Unanswerable Questions for SQuAD

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics In: Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Computers in Human Behavior 93, 333–345 (2019)

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics LLaMA: Open and Efficient Foundation Language Models

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Advances in neural information processing systems 30 (2017)

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics New Media & Society23(6), 1379–1397 (2021)

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Emergent Abilities of Large Language Models

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Advances in Neural Information Processing Systems 35, 24824–24837 (2022)

Reference 42

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Cognitive Mirage: A Review of Hallucinations in Large Language Models

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Evaluating LLMs Capabilities Towards Understanding Social Dynamics Expert Systems with Applications 170, 114547 (2021)

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Pith citing papers

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