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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:56.560010Z

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:d98e529a5f82f35bf744b0d409c39ea8df4d5f098a036c855ca8942f8df23b74

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T06:12:38.139005Z digest=sha256:4daa645ae0def7141551f694e25a87ef2898b0709f256dd2aee3c44e86d2191d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:b28ffe6890a0b75a829d3b04b88dcf71cdb3214f14da24b540f880224ec1bb82

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=sha256:2d9ef2934ad00285774eb21062f243d829abfa5a4e48f6229d056ea1c7e8d920

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

Resolution
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=sha256:4636c31629da9553e435e959f2239d8174ef0a6df564f2d5951db3cffed1df11

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=sha256:592b4f8208665a34ae49d12a5a64e1f9adce0acee1ebfaa21e39e3baecae253e

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=sha256:89e5eba95ab3c128deb77907fa40d3c0c2ae242925fdb6c637d94e02a4ed2a98

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:a83c94bcff8993dc24a368cdfb64a8aae0569ce091ab92da01e9070b7c01ae24

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=sha256:9fc0b67fce6afece3a834eb2e8f8351a3a1f741e6e9f9844f7b0743ae5c4225e

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:f9c296aafc60bfcb1048370b172d8e389e284136e6e9f4c07377d679ccd77804

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=sha256:93149bde9fc7f208184b5681bf444ebfa9077c34df9a8417791692a867180b5c

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=sha256:4137b5219c9b51be62338b136d7c474d08b3d81d99a98177942d0391a020d16d

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:ce75d603d1568976be051a5d58f6ea4d0eca589d71a6626b0fc6cb0a23c0e498

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=sha256:440780d4341e27a69196db378f5746e23d3679d20f2cfd7b93497f51162276d4

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=sha256:578b74e380ef2362a7c5851793c7287ff42adae57b2050f3541a7637dd5ad7ad

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T20:10:12.204925Z digest=sha256:4f6e39e76f9080306f8379bf363e6feab552e6a25f36c8d68dbf1960cc6000df

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:50:20.833398Z digest=sha256:21ec1a524232bb8e7fce08188f816426085e1040f8d6de00489425e0fff4b4c7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T10:55:20.435471Z digest=sha256:4369156f8b7a5cabfa5bb48546ffce40647cb968348410ab6d4e14393ab01789

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T05:58:17.974995Z digest=sha256:ac99c9ff9eeb8a5524397546bf82507edfc6232198ebd613c0583be087c4327b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T03:20:12.777878Z digest=sha256:c18edce65497618bfaad94b4d57fd043cf2ee0badf0db739d002249175a74f0f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:746169d94436f53dce61cedcf10172bd7812d75774ee53c820254d0ff982988d