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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:54.731819Z

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

  • verified exact0
  • 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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:1aeb27aa4e9d29143ce075e192cbd8bcf677fdf4854ec4bd91e381b545221f07

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T06:12:38.139005Z digest=sha256:17eece0d821de4b75858fb1ce6b2a0a4c3dd81077b0642d518670e9a437ad902

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:3a8e9796089680bc3c1eb3f4c9cea59c87cb32edddd4925c39823605c65940b4

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=sha256:6349c5f8bd09628371998f9a02e15f2cc00a4747e8e756d04afcdfa3dd988f1d

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

Resolution
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=sha256:1fda20fb2a9d836ffd3057486625d37f0f20edbbab195a5afcdbf904cfb86f36

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

Resolution
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=sha256:117432b1432b23336724b88405cdeea7096c95c7f041fa168e38bb95273a73c2

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

Resolution
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=sha256:46693c7daf1ffa7598d9d2f7d417f778b4ebbc50f9df5930e9471373e91172db

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

Resolution
unresolved
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:c951af186d6746f94397bbf7c4ed163774da5c6b43cfc06f9d85578bef41526a

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

Resolution
unresolved
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:f429a2def3109723d4d4c535dd447e0117201487b127fe640daf1d622bb869e4

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

Resolution
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=sha256:8111680c7eea149200852696af145958e9742bed21091868681b1887495c270c

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

Resolution
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=sha256:200581e36e1bbfbabbc39a1968541df762dfad8f2b2af539fce13915738804c7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T20:10:12.204925Z digest=sha256:84ff91a2cd9918f6aa0f8150b0be837bdcd27fe41f5763a3e0531cb58d97a02f

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:50:20.833398Z digest=sha256:b7e068260fcdf11a4a56d072a6a0e4c4a8b28aa395b88cef52c571701080ce8e

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T10:55:20.435471Z digest=sha256:a3a0865e64a5f9ece8cc4405d2d7d1af9db94ce84b0f1f099ba3913b83401926

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:58:17.974995Z digest=sha256:ee4b861e140c93e426271e838f880be25fbb9ac25b27c433323b6cda1bc7767f

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T03:20:12.777878Z digest=sha256:9b6f6c853bbef19069eca11a3bee5fa79a8bca8eadab01dc5393f179fb6f60b5

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:d2ea255d6f2ab037f98f280135530d649233ad8ce04930ace0e8b5e778d725fa