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Paper Citation Record · LEDGER

Sentiment Analysis in the Era of Large Language Models: A Reality Check

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2305.15005.

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

pith.paper-citation-record.v1
2305.15005 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 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 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:03.507555Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

56
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5206f7e6-0458-452e-bee9-5a8a08ece2fd · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 126

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verified exact
arxiv_id, observed 2026-05-16T06:11:49.646511Z

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.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:274801d18dd94be26659396ff65e61f69eafe722d0893cfb877c4279b4e4437c

Observation e5e41f21-9fff-411c-943d-bf45ed0b95bc · inbound

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models cites this paper.

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 74

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arxiv_id, observed 2026-05-24T06:13:59.994944Z

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.

source=pdf_text observed=2026-05-24T06:12:38.139005Z digest=sha256:c345e3d30e972e4aadce39517d217c91261e98dc76068167f230a7d29a6badec

Observation 4aa91919-f772-4dad-8886-38f6ac9667c9 · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 180

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arxiv_id, observed 2026-05-22T23:10:41.146636Z

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.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:65807de32db47fffa20ac25bfcc00b8a182beec2f2ee149bd3be27f32abf648c

Observation 27f8fd8e-ab37-4b1d-9fd2-70086759f6b1 · inbound

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis cites this paper.

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 69

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no resolver link, observed 2026-08-12T18:49:29.258406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:49:29.258406Z digest=sha256:e066bb7bb825d7e14a5b25bf6a06d6379e5c259cc604fff64436220b85a63b08

Observation 20f74f79-3b46-4872-be53-a68af548c25e · inbound

Quantile deep learning models for multi-step ahead time series prediction cites this paper.

Quantile deep learning models for multi-step ahead time series prediction Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 95

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no resolver link, observed 2026-08-12T14:05:11.633024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:05:11.633024Z digest=sha256:fb895467969cc9b081e31620bd8fe4b1780976cae9993a6cf11572c5a3e82bbc

Observation 6c2adb90-6bd0-43f0-bd60-b6009aa02573 · inbound

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks cites this paper.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 55

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unresolved
no resolver link, observed 2026-08-12T12:28:14.487578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:28:14.487578Z digest=sha256:8b0a510d5485e3fa4446efef075ba651b89ef32dd3f7c20ed94e840aedbe5f07

Observation 613e1da6-8351-43a5-ba6c-e7cac30e3710 · inbound

Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy cites this paper.

Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 28

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no resolver link, observed 2026-08-12T11:18:12.559937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:18:12.559937Z digest=sha256:1b4b058348cae28394e36e558e5cadf461622d04a9ef76c9608d6dc40630209a

Observation 3830c7e8-b4a8-4ea2-8e4d-e98746d0f966 · inbound

MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks cites this paper.

MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 52

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no resolver link, observed 2026-08-12T05:58:26.950731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:58:26.950731Z digest=sha256:4f453db699571f84334fdda24ae101f5dc47c2b9baa8e18b71f6330d927e0df5

Observation 327b5baf-e17b-45f0-80c3-00d15bf0da52 · inbound

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis cites this paper.

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 46

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no resolver link, observed 2026-08-11T23:42:09.766118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:42:09.766118Z digest=sha256:4fd64a1c020c3614dc05b537a7485193a6717969d2355181f3001e368ac4eefd

Observation 3cf95daf-086a-4a98-a599-18d9ec3deb97 · inbound

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection cites this paper.

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 28

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no resolver link, observed 2026-08-11T22:51:15.645037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:51:15.645037Z digest=sha256:81e7b704426cdf85e624c54ba0a9c52d2f4fd43a68c9b2b6d0f60fc00aa04f4a

Observation 2d84cb9f-b2a3-4f57-b055-658fa9206eea · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 46

Resolution
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no resolver link, observed 2026-08-11T19:52:03.971507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:03.971507Z digest=sha256:905203cdb02ca7c631bcd2de797e655dc7d47ef7d7b0d478a33596d4860535b3

Observation 19329fc9-f93c-4a1c-9966-e22e4ef1501e · inbound

FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs cites this paper.

FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 23

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unresolved
no resolver link, observed 2026-08-11T15:38:02.802196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:38:02.802196Z digest=sha256:9fda8aad35517cc6ec31ca3e2c3963c6ad64b65990df990850ebf1b5374d5acc

Observation 662b43e3-bf9e-4e86-86f1-c196582f95ea · inbound

Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information cites this paper.

Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:56.560010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:56.560010Z digest=sha256:3685f466fd783addafb6299aebf62345971b40a61b7854209be7b7a61c70426b

Observation a655198b-2233-4645-826f-909ccf7c3ad0 · inbound

Time Series Language Model for Descriptive Caption Generation cites this paper.

Time Series Language Model for Descriptive Caption Generation Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 75

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unresolved
no resolver link, observed 2026-08-10T22:25:24.899206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:25:24.899206Z digest=sha256:978549de50b9a13f183158f489a6037ce70f60ee5e4b525346688c48fd355bc9

Observation b34c2d07-636b-45f7-bcb1-cd2c7c338514 · inbound

LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations cites this paper.

LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T18:17:35.531639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:17:35.531639Z digest=sha256:569c7bac0fe94622a040dc3f7b8fdbe4b9e2eb5830c352c11a7422f6d1e0bd5b

Observation a28d9a93-9cdd-4255-918a-dbd8e5a535cd · inbound

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage cites this paper.

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-08T17:06:24.081125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:06:24.081125Z digest=sha256:29c1724335dc7a725d67e5d7080d6a80441a6e9a3d791ba851556313c951d8c2

Observation 87134263-7085-427b-b371-fd48b7345a4c · inbound

Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification cites this paper.

Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 61

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unresolved
no resolver link, observed 2026-08-16T12:40:03.507555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:03.507555Z digest=sha256:c992c82507ef14f124a2a500cbb11a1c854464ac149e2bcf880df3384c7c5a20

Observation 15ad44fb-f230-489a-8ff6-908aaf68a3c3 · inbound

Emotions in the Loop: A Survey of Affective Computing for Emotional Support cites this paper.

Emotions in the Loop: A Survey of Affective Computing for Emotional Support Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 17

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unresolved
no resolver link, observed 2026-08-16T04:20:16.950865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:20:16.950865Z digest=sha256:719ea3aa082933f7e1c80509d1969e2ea464c75a32fa430ef7bfc4f1f13d38cb

Observation 5b1b2fbc-4bed-4327-9204-f37ec6583798 · inbound

A Survey of Attacks on Large Language Models cites this paper.

A Survey of Attacks on Large Language Models Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 3

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no resolver link, observed 2026-08-15T20:34:34.201549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:34:34.201549Z digest=sha256:8d4bb490f18e8271f03bf21e419644210667fa44739f40cec7ba59780715d96b

Observation adf39d5e-bce4-48db-98d4-7638a0434870 · inbound

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 cites this paper.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:54.731819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.731819Z digest=sha256:1ade7a00abd1f3d34d3458e0f6fe70aa13e85b65aa7084199733d2d96837c58f

Observation 3d752210-7274-478a-9cc0-4b386ecdfb26 · inbound

FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning cites this paper.

FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 4

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unresolved
no resolver link, observed 2026-08-07T11:57:56.793366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:56.793366Z digest=sha256:d9c374b6569752fc4c45f609976feb4f3c19097c994fa0a9edcb43113cfc0f02

Observation c8efe1ec-8dab-4059-81e6-ace721226b17 · inbound

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets cites this paper.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 41

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unresolved
no resolver link, observed 2026-08-07T10:56:26.968791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.968791Z digest=sha256:f28c799a49300572cb14e8a8f65ada53275dfad49929c90f062d0541abfc8759

Observation 24b547af-44cd-4425-a524-8bf432fdf6a3 · inbound

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval cites this paper.

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 29

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unresolved
no resolver link, observed 2026-08-06T23:28:13.454752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:13.454752Z digest=sha256:2d761965f7266016f6953692abd468d478413448333bc8f7e467ca77838b1c51

Observation e79aaf74-4d4a-488c-9a63-86230b60558b · inbound

Small Encoders Can Rival Large Decoders in Detecting Groundedness cites this paper.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 26

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no resolver link, observed 2026-08-06T22:33:30.213045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:30.213045Z digest=sha256:7b69250d73024bbdf4679c9eb26ae8ffdc2e6deb5ac43f9cbaf0370ec49f23b4

Observation 5fa91c2f-1b3f-41cd-8f40-a19b62036401 · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 37

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no resolver link, observed 2026-08-06T15:20:38.735819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:38.735819Z digest=sha256:866c15a5026d268476c0f584b2478f1ab1e1e9e3046cd9ca6af480903b260abf

Observation 77b1db83-f1ef-4734-82e2-95e740bc0d3c · inbound

Hallucination Detection and Mitigation in Scientific Text Simplification using Ensemble Approaches: DS@GT at CLEF 2025 SimpleText cites this paper.

Hallucination Detection and Mitigation in Scientific Text Simplification using Ensemble Approaches: DS@GT at CLEF 2025 SimpleText Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 11

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unresolved
no resolver link, observed 2026-08-05T19:46:11.605271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:46:11.605271Z digest=sha256:a7a4cefd760498cf6d12eb9eb3bdacbac93c79f89e9f113735d2b8cdc4f3282a

Observation d3d81936-741d-4939-822e-eb5e0150f823 · inbound

Learning to Select Visual In-Context Demonstrations cites this paper.

Learning to Select Visual In-Context Demonstrations Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 52

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unresolved
no resolver link, observed 2026-08-04T05:46:08.884428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:46:08.884428Z digest=sha256:35ab7dbf685db335b7f48059804b63a63f9a6c9e9e5ce16e41bd1038c5050a54

Observation b7009859-b6e1-4ed8-a09f-c860eca5bf17 · inbound

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior cites this paper.

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:10:50.142881Z

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.

source=pdf_text observed=2026-05-10T20:10:12.204925Z digest=sha256:b61cc6203c005bcd655d1a452088ff9b37a884ca3f8972789c3deda9e163d78c

Observation e346d1f4-f5a2-44de-a3bf-94ee588238ce · inbound

Network Effects and Agreement Drift in LLM Debates cites this paper.

Network Effects and Agreement Drift in LLM Debates Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T09:46:08.016896Z

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.

source=pdf_text observed=2026-05-10T15:50:20.833398Z digest=sha256:8e0e606dbf3bc0a77ad51a27552f124120137df22fcd58608ce9fb82cc5fa795

Observation a8f074d1-bcd4-4647-b581-1e628f6e9915 · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-10T11:00:03.734725Z

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.

source=pdf_text observed=2026-05-10T10:55:20.435471Z digest=sha256:0a6adddd1e67c162d249554a97810dd84b56ced0d9172def2558072e949aba92

Observation f1b27fec-7cf7-4002-a4ec-bd00abb25244 · inbound

MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring cites this paper.

MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 26

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verified exact
arxiv_id, observed 2026-05-10T06:01:13.426966Z

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.

source=arxiv_source observed=2026-05-10T05:58:17.974995Z digest=sha256:f4f44bdd646846cacf7560b3c219a3a5730b9c79bf2f06c229f4b18fc8c170f6

Observation 381f3b79-d54f-4210-afc4-8eaff7c58a96 · inbound

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest cites this paper.

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T12:41:01.802868Z

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.

source=arxiv_source observed=2026-05-10T03:20:12.777878Z digest=sha256:22f441a17226f213a1ad9caa9ed5d422a78a50bc21468ce7edbe986b4895448e

Observation 8f9a8f03-cc47-4887-9ad4-60ed49e95a4d · inbound

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models cites this paper.

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 54

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metadata mismatch
arxiv_id, observed 2026-05-11T20:26:09.099112Z

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.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:a113cab84f62f3800ee3633b96a5175210bbd1b50610e0cf9abc2eb3191f4d83