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Paper Citation Record · LEDGER

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2504.13993.

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

pith.paper-citation-record.v1
2504.13993 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:05:19.641588Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4766ee3e-aebb-45cb-9cca-e176070e4b11 · outbound

This paper cites PaLM 2 Technical Report.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews PaLM 2 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.503590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.503590Z digest=sha256:4c7cfc03022adab10e3c27075c1759c1e26a14026df05dba1e42e65848081690

Observation 9a592711-a094-4e70-96ac-9041c8324f74 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Graph of thoughts: Solving elaborate problems with large language models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.123292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.511988Z digest=sha256:dcc4160a878bd79f523fc624d997a3d17e8504aaed30b8bb3bf14e33016f05eb

Observation 781c8f98-57d4-4692-a1f6-6eefa0c1e653 · outbound

This paper cites Walmart.com.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Walmart.com

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.108576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.516641Z digest=sha256:1beec3fb10d9acdeb09934cf1b3a1b385de2e94bb04d064e1c6402d01b9d50f8

Observation eadae1d7-25d9-4d06-8c5f-4963c23a5d49 · outbound

This paper cites Yake! keyword extraction from single documents using multiple local features.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Yake! keyword extraction from single documents using multiple local features

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.093529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.521508Z digest=sha256:d3f5ec53c6b0adfee2e931d1db5189efeeff5e9d35d20377cf8ca828a4a6ba87

Observation 1f946053-6c33-4915-a54e-5d2fb928e115 · outbound

This paper cites Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.078930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.526080Z digest=sha256:96bcc8d7edbab5d5b01391e7f8fae3008d872173c77f698adbf6faaf8ee92266

Observation 148fe247-26c9-4a6d-b98c-8aa92bdfcc2f · outbound

This paper cites Evaluation of Text Generation: A Survey.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Evaluation of Text Generation: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.530785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.530785Z digest=sha256:7a3837ba12e96c43764252139ca6349b34a377d1467c89ab62a81034e3431388

Observation e1e7f9ea-5570-4273-a569-a6f9c8e129ca · outbound

This paper cites Attribute sentiment scoring with online text reviews: Accounting for language structure and missing attributes.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Attribute sentiment scoring with online text reviews: Accounting for language structure and missing attributes

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.064322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.536135Z digest=sha256:d67068db3aa31eac4e2b3d770ba702b10b9e6719dcdd49e92eb00543fff183d9

Observation bddccf86-040f-45ce-a0a9-70048a90c793 · outbound

This paper cites Channels of impact: User reviews when quality is dynamic and managers respond.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Channels of impact: User reviews when quality is dynamic and managers respond

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.049799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.540173Z digest=sha256:7679e15caa982763f0861d0087924e3cb58cbc008efd3a5ef3966d293d5cc215

Observation c5ed5a96-142e-4daf-b4bc-51dbffbb8f86 · outbound

This paper cites The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.034594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.544538Z digest=sha256:97974f6ce4d2c6b66716317348cfe869bb9fd46ec6a63a925cf7f2540038ef16

Observation 2ceb616f-a726-4d21-80ce-db6d2bda0b7a · outbound

This paper cites Palm: Scaling language modeling with pathways.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Palm: Scaling language modeling with pathways

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.548773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.548773Z digest=sha256:01a24e26bd56353f0523209e953ea66eaadea9d0f4c48d1e6d5971cdc0acfc15

Observation 575c7492-18b7-4d9d-8dab-3bacf295b0d3 · outbound

This paper cites Auto- matic generation of natural language explanations.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Auto- matic generation of natural language explanations

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:20.007975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.552931Z digest=sha256:38a8e000e375c5ca331ec3820e7be972253a74d741e448eb5e6539c28045967f

Observation a9735d02-ede4-48ad-bac9-de6d23fba9b5 · outbound

This paper cites Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.991708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.557295Z digest=sha256:19b5902d4c9b46704f4b42add649095d76b886d5f5c7de716afa196afe96dddd

Observation 4d13f3ae-9c7c-4d4a-af92-9b4c7e7aebe3 · outbound

This paper cites Automatic generation of product-image sequence in e-commerce.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Automatic generation of product-image sequence in e-commerce

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.975704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.561738Z digest=sha256:33744b7610c6dbf9178b3c6559469e228474fde9eaa01bf74d473fa443560512

Observation 6f9bd7fa-01e4-4327-a09e-9eed477eed72 · outbound

This paper cites Conditional text generation for harmonious human- machine interaction.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Conditional text generation for harmonious human- machine interaction

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.959630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.566013Z digest=sha256:8f87da827225cd8e079828fc7802e9684a4079a2a54ac2452041efa0daee4cf1

Observation 3872ac65-78f9-4807-b077-22b77c85c5e3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews LoRA: Low-Rank Adaptation of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.570383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.570383Z digest=sha256:efd491e8c01b0d4c2b22acfc460a3e14396a32f15315c01b9d6e5c7c09ef67c6

Observation e1277ffa-0470-4fec-902a-51f50fe9c95a · outbound

This paper cites Proceedings of the 57th annual meeting of the association for computational linguistics.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Proceedings of the 57th annual meeting of the association for computational linguistics

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.943945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.575069Z digest=sha256:e3b68ed694d9bc476c01b24768e9bb19777b6e71fd0f615554a135c6b6d05dd8

Observation 46360d61-b118-4066-ac8d-c24bdf20be66 · outbound

This paper cites Evaluating the output of machine translation systems.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Evaluating the output of machine translation systems

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.929056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.579362Z digest=sha256:3cee1e023cdbad67d9f35f0f19daadcc6237d0bc4ad1db18a410bffc4f80d6b8

Observation 279cf7a6-75cd-44ba-ab51-aae98c142f07 · outbound

This paper cites TimeLMs: Diachronic Language Models from Twitter.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews TimeLMs: Diachronic Language Models from Twitter

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.583559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.583559Z digest=sha256:3496ec4fd13245ab06678b589536f68c607831fc3a79a855671d01f3b9910462

Observation c6d3c5e5-1984-4564-b447-a33fc4fed2b4 · outbound

This paper cites More than words: The influence of affective content and linguistic style matches in online reviews on conversion rates.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews More than words: The influence of affective content and linguistic style matches in online reviews on conversion rates

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.913704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.588641Z digest=sha256:7538793d5d402a79b2478b0603e47537f905672fb86db66b468b1b7aff233880

Observation 1e1926e3-814b-4422-8272-c8085da4bbe9 · outbound

This paper cites Peft: State-of-the-art parameter- efficient fine-tuning methods.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Peft: State-of-the-art parameter- efficient fine-tuning methods

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.592777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.592777Z digest=sha256:6d2a6b1cffa6d86c6f00a3b4a40eff224e9e9f6e752871ba2d43393df0d6ea8e

Observation e7a38a23-85ce-4547-b8b4-b0229046a1f2 · outbound

This paper cites Federal trade commission announces final rule banning fake reviews and testimonials.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Federal trade commission announces final rule banning fake reviews and testimonials

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.889595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.597023Z digest=sha256:9e2eacd4deac6753efbcaeec4448addd9e0f8ec096ff513f5a115e85d5088a40

Observation 596cbbad-e958-444a-884c-cc502240ccec · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Bleu: a method for automatic evaluation of machine translation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.601470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.601470Z digest=sha256:65d18474104a1d89abb7abbda25f1364a9e2a96c5e9f3ee49e0612af394c78f9

Observation fcae1b46-65ca-40f1-af53-54e3402b06fb · outbound

This paper cites Efficiency of automatic text generators for online review content gener- ation.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Efficiency of automatic text generators for online review content gener- ation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.864624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.605608Z digest=sha256:339d72ca0055c0f61bd6d62d59954d4f172dc90360de9bce3636d95f06720199

Observation 8e6450c8-252d-4865-8a26-86c0e6f2964c · outbound

This paper cites A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:05:19.713490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.609747Z digest=sha256:0eea3947155dd9616613b6ad6d7b9a547054cdf96f3c716eb12f5fdd6c30ae75

Observation d668ee45-5dc7-4f49-ab3d-29d2ead1f03a · outbound

This paper cites PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.614898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.614898Z digest=sha256:e5f1260e13fd220336505169746f99390d79041326d63ef4ca4c43bb942daf14

Observation f680efef-9c1d-43d4-89c8-9ef6098af2ee · outbound

This paper cites Automatic generation of review content in specific domain of social network based on rnn.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Automatic generation of review content in specific domain of social network based on rnn

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.847777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.619601Z digest=sha256:59446118343871a4e0f658e4c7daf83ad608ab339a3850e587758301e0d2bb80

Observation 25301e08-a503-42a8-a43f-244a0660b79b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T12:05:19.623797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:05:19.623797Z digest=sha256:6a3297e6e330a916ca947ebaa2855d21eb44ba8371a036193385e5456b2f6850

Observation 2c1f5cad-0dd9-46f4-ac9d-b1cdea6a94a7 · outbound

This paper cites Text generation and recall by high-knowledge and low-knowledge individuals.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Text generation and recall by high-knowledge and low-knowledge individuals

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.833111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.628616Z digest=sha256:ce037dc5d4e029319b03774782c89f3c097e7cee303d41cccbde0bf465861013

Observation 450a6d51-fc26-447e-88d6-d96eef7a2a27 · outbound

This paper cites Personalized showcases: Generating multi-modal explanations for rec- ommendations.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Personalized showcases: Generating multi-modal explanations for rec- ommendations

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.818589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.632723Z digest=sha256:40f4446af2ca227757d48a0c6bcc4ca9bde5f634e7046010c56e7879ba4dd5ec

Observation 7b47ee4f-353e-4142-8495-4bf052ed5b89 · outbound

This paper cites Towards automatic generation of product reviews from aspect-sentiment scores.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Towards automatic generation of product reviews from aspect-sentiment scores

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.803330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.637005Z digest=sha256:d1d103fb0ab3e7a2984b66d0021eea2348521216cdc827087713326272c8cf80

Observation edaaf299-98fd-4e14-8450-a362cf35f8bc · outbound

This paper cites Review response generation in e-commerce platforms with external product information.

CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews Review response generation in e-commerce platforms with external product information

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:05:19.788358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T12:05:19.641588Z digest=sha256:b307557fc0166c67e43fc336ec79fb62ad8f484566913df51cb6a2017d7f7a6e

Pith citing papers

No inbound Pith citation observations are available.