Paper Citation Record · LEDGER

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.10825.

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

pith.paper-citation-record.v1
2607.10825 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T08:58:37.267426Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

verified exact5
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b00123e2-81e0-451c-97f3-7436466a1951 · outbound

This paper cites Enhancing sentiment analysis classification for amazon product reviews using cnn-sigtan-beta activation function.Multimedia Tools and Applications, 83(19):56719–56736, 2024.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Enhancing sentiment analysis classification for amazon product reviews using cnn-sigtan-beta activation function.Multimedia Tools and Applications, 83(19):56719–56736, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f051947-6c6c-4ffd-82ef-fbbb15b2368a · outbound

This paper cites Balanced and token-efficient summarization of user reviews via stratified sampling and large language models.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Balanced and token-efficient summarization of user reviews via stratified sampling and large language models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 6e4b3c58-0b4e-4b60-8e35-7f1633aff213 · outbound

This paper cites A literature survey of recent advances in chatbots.Information, 13(1), 2022.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization A literature survey of recent advances in chatbots.Information, 13(1), 2022

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 4768ffb4-cba5-41d8-a4dc-386c2088e733 · outbound

This paper cites Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback.Online Social Networks and Media, 45:100295, 2025.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback.Online Social Networks and Media, 45:100295, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation e7f2613a-8e38-488e-a6d3-ff619362fd6b · outbound

This paper cites Multi-dimensional classification on social media data for detailed reporting with large language models.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Multi-dimensional classification on social media data for detailed reporting with large language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 0114dc3b-b5d0-4650-9458-5163781cfbb6 · outbound

This paper cites The use of mmr, diversity-based reranking for reordering documents and producing summaries.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization The use of mmr, diversity-based reranking for reordering documents and producing summaries

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c489f77d-5fa2-4be3-b94e-896c5e4ab620 · outbound

This paper cites Topically diversified summarization of customer reviews.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Topically diversified summarization of customer reviews

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 7f355ce4-ae32-4263-aa51-a657b816898d · outbound

This paper cites From reviews to results: Generative ai for review-driven product and service comparisons.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization From reviews to results: Generative ai for review-driven product and service comparisons

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation c711233e-94c8-43fc-8afd-4f9fa7089e73 · outbound

This paper cites A topic modeling comparison between lda, nmf, top2vec, and bertopic to demystify twitter posts.Frontiers in sociology, 7, 2022.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization A topic modeling comparison between lda, nmf, top2vec, and bertopic to demystify twitter posts.Frontiers in sociology, 7, 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 7c48beb5-793d-4a76-b578-0b1f508bfe92 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation f0d60664-f575-468f-be53-e43ab3f836a0 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation c7afdbef-773c-4f99-90ec-e7a9d441bc7f · outbound

This paper cites Mining customer product reviews for product development: A summarization process.Expert Systems with Applications, 132:141–150, October 2019.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Mining customer product reviews for product development: A summarization process.Expert Systems with Applications, 132:141–150, October 2019

Reference 12

Resolution: verified exact; doi, observed 2026-07-14T09:00:21.525714Z

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.

Observation 31a8d071-b860-4049-86ff-3fca8d60fec1 · outbound

This paper cites Mo, and Hai Liu.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Mo, and Hai Liu

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-14T09:00:21.553008Z

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.

Observation ac2062b5-25c0-4538-851a-978714fa53c3 · outbound

This paper cites Large-scale and multi-perspective opinion summarization with diverse review subsets.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Large-scale and multi-perspective opinion summarization with diverse review subsets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 3075f49c-4629-433d-8373-49a8952b8519 · outbound

This paper cites Beyond opinion mining: Summarizing opinions of customer reviews.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Beyond opinion mining: Summarizing opinions of customer reviews

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-14T09:00:21.542709Z

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.

Observation ee13f367-dc9f-4c0b-bb00-098ef30faa55 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation b1d23379-907c-4ad6-9fd6-4d7e837d34a8 · outbound

This paper cites Coverage-based Fairness in Multi-document Summarization.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Coverage-based Fairness in Multi-document Summarization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 10e00ac0-bb5a-4c65-9862-c7bcfb9b7a49 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Rouge: A package for automatic evaluation of summaries

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation cf0da314-1d52-4071-bd31-a55dd45377ca · outbound

This paper cites Opinion observer: analyzing and comparing opinions on the web.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Opinion observer: analyzing and comparing opinions on the web

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 540c552d-4dd6-4416-af05-0796e8bd3c73 · outbound

This paper cites A survey of automatic text summarization: concepts, advances and future prospects.International Journal of Speech Technology, 28:801–824, 10 2025.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization A survey of automatic text summarization: concepts, advances and future prospects.International Journal of Speech Technology, 28:801–824, 10 2025

Reference 20

Resolution: verified exact; doi, observed 2026-07-14T09:00:21.520604Z

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.

Observation cb64ff74-6c34-4a22-96ab-386515456ec3 · outbound

This paper cites Chatbots applications in education: A systematic review.Computers and Education: Artificial Intelligence, 2:100033, 2021.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Chatbots applications in education: A systematic review.Computers and Education: Artificial Intelligence, 2:100033, 2021

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 3e203742-0212-4848-9d3a-9a09f61a8dc2 · outbound

This paper cites Thumbs up? sentiment classification using machine learning techniques.cs/0205070, 2002.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Thumbs up? sentiment classification using machine learning techniques.cs/0205070, 2002

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Unavailable: canonical work link unavailable.

Observation bb843720-b130-436d-9b0a-cb5c4f7c73b6 · outbound

This paper cites Cognitive hybrid deep learning-based multi-modal sentiment analysis for online product reviews.ACM Trans.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Cognitive hybrid deep learning-based multi-modal sentiment analysis for online product reviews.ACM Trans

Reference 23

Resolution: verified exact; doi, observed 2026-07-14T09:00:21.530572Z

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.

Observation 5425f7f1-05f9-48e4-b3ea-625529e75ca5 · outbound

This paper cites Roumeliotis, Nikolaos D.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Roumeliotis, Nikolaos D

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 1e0f92b6-7ceb-4a59-b802-7ad047b8fb2a · outbound

This paper cites Llms in e-commerce: a comparative analysis of gpt and llama models in product review evaluation.Natural Language Processing Journal, 6:100056, 2024.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Llms in e-commerce: a comparative analysis of gpt and llama models in product review evaluation.Natural Language Processing Journal, 6:100056, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 9efcf9ef-1df0-457b-b61c-7f9a8c5f1724 · outbound

This paper cites Automatic text summarization methods: A comprehensive review.SN Computer Science, 4(1):33, 2022.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Automatic text summarization methods: A comprehensive review.SN Computer Science, 4(1):33, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 8498d679-45c7-41b5-9a36-ac4156718ed8 · outbound

This paper cites Text Classification via Large Language Models.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Text Classification via Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

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Observation 8dcce891-8159-46cc-9824-05511acff84c · outbound

This paper cites Exploiting user experience from online customer reviews for product design.Int.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Exploiting user experience from online customer reviews for product design.Int

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation da9800df-bb75-4eae-b4c8-f63e187d9ee2 · outbound

This paper cites Lv-eval: A balanced long-context benchmark with 5 length levels up to 256k.arXiv preprint arXiv:2402.05136, 2024.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Lv-eval: A balanced long-context benchmark with 5 length levels up to 256k.arXiv preprint arXiv:2402.05136, 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation da33ed0b-afda-4be0-944f-21e352d59409 · outbound

This paper cites Survey of transformers and towards ensemble learning using transformers for natural language processing.Journal of big Data, 11(1):25, 2024.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Survey of transformers and towards ensemble learning using transformers for natural language processing.Journal of big Data, 11(1):25, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation e646134b-d6a6-4c22-a615-d3998c1902c0 · outbound

This paper cites Examining the influence of online reviews on consumers’ decision-making: A heuristic–systematic model.Decision support systems, 67:78–89, 2014.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Examining the influence of online reviews on consumers’ decision-making: A heuristic–systematic model.Decision support systems, 67:78–89, 2014

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation b046531b-7008-4a5f-9f30-c1609f8c8157 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization BERTScore: Evaluating Text Generation with BERT

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Observation 5d8173b8-5132-4f4c-9638-085d367e7e66 · outbound

This paper cites Clustering sentences with density peaks for multi-document summarization.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Clustering sentences with density peaks for multi-document summarization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T08:58:37.267426Z

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Pith citing papers

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