Paper Citation Record · LEDGER

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2502.02893.

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

pith.paper-citation-record.v1
2502.02893 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:46:03.550554Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

37 of 37 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8148fe9b-8619-4380-b2f4-3cb3ff6bc06f · outbound

This paper cites The effect of word of mouth on sales: Online book reviews,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs The effect of word of mouth on sales: Online book reviews,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.336374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4847d2a4-2e75-4e3b-a8d1-133048774d12 · outbound

This paper cites Word of mouth for movies: Its dynamics and impact on box office revenue,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Word of mouth for movies: Its dynamics and impact on box office revenue,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.320841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be28d2a2-6048-40c1-8311-341ea4214c1c · outbound

This paper cites Overcoming the j-shaped distribution of product reviews,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Overcoming the j-shaped distribution of product reviews,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.306022Z

Source-reported events for the cited work

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Observation 5c5a0685-99d4-400e-96be-47315dd8bc82 · outbound

This paper cites The digitization of word of mouth: Promise and chal- lenges of online feedback mechanisms,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs The digitization of word of mouth: Promise and chal- lenges of online feedback mechanisms,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.288751Z

Source-reported events for the cited work

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Observation 2ece1b1c-71bf-4c7b-816d-cc9a075808e3 · outbound

This paper cites Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.272919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c086f41-db47-4e58-86b7-43f6051f3c76 · outbound

This paper cites An analysis of sentiment: Methods, applications, and challenges,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs An analysis of sentiment: Methods, applications, and challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.254572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e068a183-5b06-4bab-9a80-c96121f327f9 · outbound

This paper cites Sentiment analysis: An overview from linguistics,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Sentiment analysis: An overview from linguistics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.237810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c58ace4-49ac-4e68-ac83-7cd6283217db · outbound

This paper cites Sentiment analysis: A survey on design framework, applications and future scopes,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Sentiment analysis: A survey on design framework, applications and future scopes,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.218595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0aede5a0-7a29-45bc-9d40-9124a62964ff · outbound

This paper cites Machine learning algorithms for labeling: Where and how they are used?.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Machine learning algorithms for labeling: Where and how they are used?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.199856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 126b78de-ccdf-40d3-8061-00368c094299 · outbound

This paper cites Cheap and fast— but is it good? evaluating non-expert annotations for natural language tasks,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Cheap and fast— but is it good? evaluating non-expert annotations for natural language tasks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.182839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bad629db-b2da-42d2-8e78-99148e30893c · outbound

This paper cites A review on large language models: Architectures, applications, taxonomies, open issues and challenges,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs A review on large language models: Architectures, applications, taxonomies, open issues and challenges,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.164403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5485a153-1e14-46f3-9ed3-83bfa6248c06 · outbound

This paper cites Research and implementation of high computational power for training and inference of convolutional neural networks,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Research and implementation of high computational power for training and inference of convolutional neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.143420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 799793cb-0c15-48db-b5e9-ddcf9214110d · outbound

This paper cites Lexicon- based methods for sentiment analysis,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Lexicon- based methods for sentiment analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.123122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84aead5a-b760-4961-b7cb-977f9d50a021 · outbound

This paper cites Thumbs up?: sentiment classifi- cation using machine learning techniques,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Thumbs up?: sentiment classifi- cation using machine learning techniques,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.107326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b9ff5fd-03fc-4e3c-9100-3549718e4f7a · outbound

This paper cites Machine learning in automated text categorization,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Machine learning in automated text categorization,

Reference 15

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Source-reported events for the cited work

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Observation 7e16778e-3488-467e-9547-2d263c6dfeee · outbound

This paper cites Convolutional neural networks for sentence classification,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Convolutional neural networks for sentence classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.080383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd046467-bc81-4d2b-80d8-61e5a4df1325 · outbound

This paper cites Long short-term memory,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Long short-term memory,

Reference 17

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Source-reported events for the cited work

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Observation 1156174e-276e-49fa-b03f-bf57216dcf1e · outbound

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

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 18

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Source-reported events for the cited work

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Observation 120e88a2-0d25-4e62-ae68-b392f2acfb48 · outbound

This paper cites Deep learning for sentiment analysis: A survey,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Deep learning for sentiment analysis: A survey,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.049836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd958030-3e7b-4bae-b715-8eb85f9b2878 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 20

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Source-reported events for the cited work

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Observation 73e476e7-0461-49e2-8152-18ccd658c1ac · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Imagenet: A large-scale hierarchical image database,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.027719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4eed400b-c602-4d9f-9c12-0b8a615cbd90 · outbound

This paper cites Language Models are Few-Shot Learners.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Language Models are Few-Shot Learners

Reference 22

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Source-reported events for the cited work

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Observation bac65a37-0922-46e1-8aa0-94274bac178d · outbound

This paper cites Energy and policy considerations for deep learning in NLP,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Energy and policy considerations for deep learning in NLP,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:04.001497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6209b4b1-a312-4233-9779-19902f11d6bd · outbound

This paper cites Frugalgpt: How to use large language models while reducing cost and improving performance,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Frugalgpt: How to use large language models while reducing cost and improving performance,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.981514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1bd1d77-5c17-4d87-ab12-029026fccd0f · outbound

This paper cites Memory-efficient pipeline-parallel dnn training,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Memory-efficient pipeline-parallel dnn training,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.962932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fbd7bf5-93d5-41c5-aa29-d672f16b4907 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 26

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Observation 6fb85b13-196f-4e51-aaf3-a5a4ed227fc5 · outbound

This paper cites How to Fine-Tune BERT for Text Classification?.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs How to Fine-Tune BERT for Text Classification?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:03.507296Z

Source-reported events for the cited work

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Observation ad4aeba4-e01e-455f-a1c2-a6154dcd1400 · outbound

This paper cites Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Reference 28

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Observation 6cafff7e-fd7f-42d5-b092-bf0ccfd8e1e5 · outbound

This paper cites Revealing the Dark Secrets of BERT.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Revealing the Dark Secrets of BERT

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e45e428-e1b5-41ae-bb9b-277a07cecd21 · outbound

This paper cites Amazon Reviews Dataset,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Amazon Reviews Dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.941775Z

Source-reported events for the cited work

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Observation 45408807-9c6a-4247-89db-6ecd2e7af4d3 · outbound

This paper cites Learning word vectors for sentiment analysis,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Learning word vectors for sentiment analysis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.923837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d5c7470-abd3-49d5-97a3-e2014bc026e2 · outbound

This paper cites Tripadvisor hotel review dataset,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Tripadvisor hotel review dataset,

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-09T10:46:03.697468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8702cf2f-b084-4504-8002-7d62b8732719 · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:03.536436Z

Source-reported events for the cited work

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Observation a8215fd8-edd7-46c0-9eb6-a6aa8a133007 · outbound

This paper cites Making pre-trained language models better few-shot learners,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Making pre-trained language models better few-shot learners,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.902924Z

Source-reported events for the cited work

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Observation aacfab5e-8ad5-43d1-a224-8e3404b828b0 · outbound

This paper cites Exploiting cloze questions for few shot text classification and natural language inference,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Exploiting cloze questions for few shot text classification and natural language inference,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.882057Z

Source-reported events for the cited work

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Observation 98c7a9af-f198-461a-bc26-aeb8508f0999 · outbound

This paper cites Google colaboratory,.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs Google colaboratory,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:03.864131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f67ff1a7-20cf-4127-8c99-6c665d2c6957 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:03.491426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.