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Paper Citation Record · LEDGER

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3

As of 14 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2506.00312.

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

pith.paper-citation-record.v1
2506.00312 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:55.407053Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

90 of 90 outbound references displayed

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  • verified fuzzy53
  • unresolved31
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fd68cfc-4b70-45c8-b735-ab094184ab73 · outbound

This paper cites Influence of the movies on attitudes and be- havior,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Influence of the movies on attitudes and be- havior,

Reference 1

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Observation 5a8b53ce-b10f-432c-a668-c99e030e6b76 · outbound

This paper cites Tzioumakis and C.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Tzioumakis and C

Reference 2

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Observation ed1192ec-164c-47f4-b978-bcddd31fb8d4 · outbound

This paper cites Movies, consumption markets & culture,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Movies, consumption markets & culture,

Reference 3

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An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Unresolved cited work

Reference 4

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Observation 82eb9916-e122-4564-bbb1-c898e2a6c40f · outbound

This paper cites The effect of movie portrayals on audience attitudes about nontra- ditional families and sexual orientation,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 The effect of movie portrayals on audience attitudes about nontra- ditional families and sexual orientation,

Reference 5

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Observation 26e28cbe-5387-4e11-8e9c-8d14c5f457d0 · outbound

This paper cites Natural language processing,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Natural language processing,

Reference 6

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Observation 1de23df2-a6ba-4ca6-99b1-c58e52da4178 · outbound

This paper cites Deep learning in clinical natural language processing: a methodical review,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Deep learning in clinical natural language processing: a methodical review,

Reference 7

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Observation 38a29c3a-0b3c-402d-bb4b-f4d776d0435f · outbound

This paper cites Machine learning and nat- ural language processing: Review of models and opti- mization problems,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Machine learning and nat- ural language processing: Review of models and opti- mization problems,

Reference 8

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Observation fd954a6f-7ab1-4b61-94f5-ba6b8bb172df · outbound

This paper cites Language models are few-shot learn- ers,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Language models are few-shot learn- ers,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1adefacb-d61b-46e7-aa6a-d78fdd14e500 · outbound

This paper cites Sci- ence in the age of large language models,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Sci- ence in the age of large language models,

Reference 10

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Observation 39a9578d-d15a-4e29-ac3a-2adda04f8160 · outbound

This paper cites Gen- erative artificial intelligence: a systematic review and ap- plications,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Gen- erative artificial intelligence: a systematic review and ap- plications,

Reference 11

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Observation d736c738-48b7-4359-a6fb-5ee2254491ea · outbound

This paper cites Education in the era of generative artificial intelligence (ai): Understanding the potential benefits of chatgpt in promoting teaching and learning,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Education in the era of generative artificial intelligence (ai): Understanding the potential benefits of chatgpt in promoting teaching and learning,

Reference 12

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Source-reported events for the cited work

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Observation 73ffe2fc-4723-48aa-853c-f6dd0ae49a1c · outbound

This paper cites The woman worked as a babysitter: Biases in language model generation,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 The woman worked as a babysitter: Biases in language model generation,

Reference 13

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Source-reported events for the cited work

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Observation 1d71e73b-ed6f-4420-b97f-8688a42ca7e2 · outbound

This paper cites A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods,

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 11321aa7-c759-419b-a338-722074189818 · outbound

This paper cites Large Language Models Penetration in Scholarly Writing and Peer Review.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Large Language Models Penetration in Scholarly Writing and Peer Review

Reference 15

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Observation e1526aeb-aed9-4a60-bb92-dee97006e92f · outbound

This paper cites A systematic review of large language models and their implications in medical education,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A systematic review of large language models and their implications in medical education,

Reference 16

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Source-reported events for the cited work

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Observation 91023965-ee3f-4a70-8f9e-7ffb3e946447 · outbound

This paper cites Large Language Models Meet NLP: A Survey.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Large Language Models Meet NLP: A Survey

Reference 17

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Observation 5c21de27-d964-4535-a26d-0f4bc5798694 · outbound

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

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A review on large language models: Architectures, applications, tax- onomies, open issues and challenges,

Reference 18

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Observation 72411b3b-06b0-4c04-a8e0-83b0c5ac0426 · outbound

This paper cites Language mod- els are unsupervised multitask learners,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Language mod- els are unsupervised multitask learners,

Reference 19

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This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 20

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This paper cites Crafting clarity: Leveraging large language models to decode consumer reviews,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Crafting clarity: Leveraging large language models to decode consumer reviews,

Reference 21

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This paper cites Consumer evaluations of movies on the basis of critics’ judgments,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Consumer evaluations of movies on the basis of critics’ judgments,

Reference 22

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This paper cites Dynamic ef- fects among movie ratings, movie revenues, and viewer satisfaction,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Dynamic ef- fects among movie ratings, movie revenues, and viewer satisfaction,

Reference 23

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Observation 6e189985-662f-47aa-8332-ea5f6d1d0cec · outbound

This paper cites Kerrigan,Film Marketing.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Kerrigan,Film Marketing

Reference 24

Resolution
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Observation 98ff0de5-79ca-4d4e-8738-013a1ef60d7a · outbound

This paper cites The halo effect in multicomponent ratings and its implica- tions for recommender systems,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 The halo effect in multicomponent ratings and its implica- tions for recommender systems,

Reference 25

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Observation 27dccb46-baa3-4b13-85b0-f4d15855242f · outbound

This paper cites Understanding the influence of on- line movie reviews on audience reception: A data-driven approach,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Understanding the influence of on- line movie reviews on audience reception: A data-driven approach,

Reference 26

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This paper cites Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 27

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Observation cef2c369-6eef-4b96-87dc-9252465fd8f5 · outbound

This paper cites Lipschitz Interpolation: Non-parametric Convergence under Bounded Stochastic Noise.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Lipschitz Interpolation: Non-parametric Convergence under Bounded Stochastic Noise

Reference 28

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Observation d387ec07-b1a4-42fe-aa9f-f337dfd0ee5d · outbound

This paper cites Large lan- guage models: a comprehensive survey of its applications, challenges, limitations, and future prospects,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Large lan- guage models: a comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 29

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Observation 39d2899a-56a2-430b-8f84-50bf30af915e · outbound

This paper cites Auto- matic scoring of metaphor creativity with large language models,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Auto- matic scoring of metaphor creativity with large language models,

Reference 30

Resolution
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This paper cites Book review: Deep learning,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Book review: Deep learning,

Reference 31

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Source-reported events for the cited work

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Observation ac4f7c85-3c82-4773-bc35-9b748f640e0d · outbound

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An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Deep learning,

Reference 32

Resolution
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Source-reported events for the cited work

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An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Long short-term memory,

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 4dcd2097-e112-47b3-b5a8-d5cef8acfccb · outbound

This paper cites Attention is all you need,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Attention is all you need,

Reference 34

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unresolved
no resolver link, observed 2026-08-07T12:12:50.923646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.923646Z digest=sha256:6a46439bc7341266d1bc279ba56ab9ba6aec82e024d3654c4196e4f3a00c8d3f

Observation 48d32294-56fa-4be0-a74e-7f8027b471a5 · outbound

This paper cites Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing

Reference 35

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unresolved
no resolver link, observed 2026-08-07T12:12:50.979779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:50.979779Z digest=sha256:d361afa0d72d3d3856106975de696085a95a75121728881c7a3ae0fb525f0cfa

Observation b9f8dc3d-281b-4f3d-bf81-73f48d272000 · outbound

This paper cites Semantic language mod- els with deep neural networks,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Semantic language mod- els with deep neural networks,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T12:13:04.508409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.052574Z digest=sha256:d78599f0ac6aad8000a4c9049a510b28146002f68c2d2506f171fd468d418be7

Observation b36ecc11-d67f-4722-be1c-235bfbff80f4 · outbound

This paper cites Progress in neural nlp: modeling, learning, and reasoning,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Progress in neural nlp: modeling, learning, and reasoning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:04.363004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.135793Z digest=sha256:f063602ecc49947eba71651df791615dbdfa2695eb744ca604ddb62ad844c130

Observation dc8ec52d-7c28-4bb0-958e-1a7505d91c08 · outbound

This paper cites De- pendency parsing with bottom-up hierarchical pointer net- works,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 De- pendency parsing with bottom-up hierarchical pointer net- works,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:04.209411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.221952Z digest=sha256:b4f92573de8954013f22d99faf257d9f088aa84c269b6ac668b298fd3ed456b2

Observation 5952c33c-7b8a-4b88-8b89-b3de6fd01e67 · outbound

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

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 39

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unresolved
no resolver link, observed 2026-08-07T12:12:51.280233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.280233Z digest=sha256:494eeece3251db8d638de69d71b9e235e5568bef3de95633549d96309a6aac9b

Observation e36b7d06-5080-4195-a34b-0eaac0141144 · outbound

This paper cites Improving language understanding by generative pre- training,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Improving language understanding by generative pre- training,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:04.023584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.316517Z digest=sha256:9ef1f729f62c6de4507aaa19c7ada668aed87f092862ea1034463d2b050eda1a

Observation 40f302a1-7789-4c86-a731-706d0b7b443e · outbound

This paper cites Why does unsupervised pre-training help deep learning?.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Why does unsupervised pre-training help deep learning?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:03.829967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.361557Z digest=sha256:d0a8f39e98382364572847ae896493e62202cd6d0da80c748d5daea4a814f993

Observation 12036114-173c-4aa6-b6b8-cfb620c41ae1 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:51.465460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:51.465460Z digest=sha256:4e5af4c665528f32a8a9908e8500390b46e6a1bb4c6c31c62c57fa79328f2e8f

Observation 38d47076-fcbe-445e-b41d-0ae99f26349c · outbound

This paper cites Hollywood movie subtitle dataset: Oscar nom- inations and top 10 blockbusters (1950–2024),.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Hollywood movie subtitle dataset: Oscar nom- inations and top 10 blockbusters (1950–2024),

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:03.666262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.563869Z digest=sha256:3313743f4b904e0fd10fa2bf499db422029311d7c20f8eb07ce3006766d33026

Observation 731bcf65-d701-4f33-8a48-ce5a696743fa · outbound

This paper cites Imdb movie reviews grouped by rat- ings,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Imdb movie reviews grouped by rat- ings,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:03.497676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.671169Z digest=sha256:7cf6707af4f691855b2b5681fa9f66b568830e65f21eacc7389cf08208627309

Observation 083f146b-4559-4525-adce-c4b0171b7f3e · outbound

This paper cites Subtitling and distribution of international films,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Subtitling and distribution of international films,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:03.334878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.806026Z digest=sha256:846ac1da4b57a79b15ede29ac83f22ad009ad5a8bc20a67f9a8a15af6149d1a5

Observation 90428a95-a7cf-4049-a338-fcfc97ff3119 · outbound

This paper cites an unresolved cited work.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:13:03.141741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.915879Z digest=sha256:a8558fa825fd30038eea14223cc0c429359da28db196d7e723a45d933f6e01d2

Observation 3e645950-a7c5-4360-ac73-5dd9d2ad5e0e · outbound

This paper cites A large-scale comparison of historical text normalization systems,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A large-scale comparison of historical text normalization systems,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:02.932030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:51.979061Z digest=sha256:a8770162c0e658513ad0d8943594e532638d073075f95d6b165907ae050ba895

Observation 19bf0c46-2c9b-4feb-ad11-ad9b699e19e3 · outbound

This paper cites an unresolved cited work.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:13:02.697943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.078361Z digest=sha256:c0dcc397c64e6c6db38652fa8dacc11ae181f505cd4248f9c7e3f4c5284bd3e4

Observation b402224d-b8f9-48c2-b055-ae5cb7df83db · outbound

This paper cites Gpt-4o technical report,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Gpt-4o technical report,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:02.400445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.132141Z digest=sha256:dfdf65911a60dbfeabebd3ce4edfb562bde08295e567add0f40fb5d6129bc33b

Observation a7c38cc8-bef5-4827-8978-522d874ba9ac · outbound

This paper cites Chatgpt: Optimizing language models for dia- logue,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Chatgpt: Optimizing language models for dia- logue,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:02.247471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.186828Z digest=sha256:5dce99ea47c01b91001315c217b8be10feb2d5391a312686602c9501b4c4f71d

Observation c5d6bfa0-2b0b-4d94-aa49-9b1692f13d7b · outbound

This paper cites A Serious Game for Simulating Cyberattacks to Teach Cybersecurity.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A Serious Game for Simulating Cyberattacks to Teach Cybersecurity

Reference 51

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metadata mismatch
local_arxiv, observed 2026-08-07T12:12:56.581381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.256389Z digest=sha256:14bb621c3afb92cec377e3a91ed4576e2d74c610eb0158a197ef65ae0b95c66f

Observation 333720a7-61a7-40bd-9af8-712fe9acb90b · outbound

This paper cites Geometric constructions of small regular graphs with girth 7.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Geometric constructions of small regular graphs with girth 7

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:12:56.397462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.337910Z digest=sha256:362789c3bbd44dd5662b1132367bd1b5accac1e806b14b39b1d0b4ca15b63cb4

Observation 3df6fae6-8eca-44f7-9379-b4d496009627 · outbound

This paper cites Distributionally Robust Receive Combining.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Distributionally Robust Receive Combining

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:52.430670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.430670Z digest=sha256:562b66fdfbc8667c860d18474a8d8f11ce0b527ddf53997003c55ec8fd2fe008

Observation a6fe6a95-c848-47f4-98ec-9dc79e418761 · outbound

This paper cites Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:52.493476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.493476Z digest=sha256:94419272d6edb0abe0c1eec5926edcd87eba947c7d3e5e2b30d8d995e48a8021

Observation 3d959b9b-6a80-483d-9465-6752fd8fc26c · outbound

This paper cites A comparative evaluation of gemini and gpt-4 on multimodal educational tasks,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A comparative evaluation of gemini and gpt-4 on multimodal educational tasks,

Reference 55

Resolution
verified exact
raw_fallback, observed 2026-08-07T12:12:56.178399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.535008Z digest=sha256:59898af9c18a5a1faf676f6984c6b06ce785360c4b9ab2587437a2cca4395308

Observation dc6692b2-b5a1-4ec8-9bc5-5321ce52a20e · outbound

This paper cites With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 With a Little Help from my (Linguistic) Friends: Topic Segmentation of Multi-party Casual Conversations

Reference 56

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metadata mismatch
local_arxiv, observed 2026-08-07T12:12:55.871769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.623753Z digest=sha256:0301fad5fc85dc53aa2346fddc27d3ad185dba42121f0e6b76b7b2c630fdc4f1

Observation 5587257d-7e2d-4610-964d-c1ab5085d3fe · outbound

This paper cites N-gram-based text categorization,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 N-gram-based text categorization,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:02.112537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.693987Z digest=sha256:c963d09f2dd7cac51fa84f05b560328feb4b0e7ffd1d80e932c9ec55f64c0fc0

Observation 5e4cb745-55a7-4a55-8446-23792de21334 · outbound

This paper cites Jurafsky and J.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Jurafsky and J

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:02.028375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.796557Z digest=sha256:2c98e7b98edc0ae58614f39d22072f95fb65517ee0f45d323e959c6d49724a4f

Observation 8443d60a-c6ac-4e95-ab70-7b1f8a548290 · outbound

This paper cites Document-level sentiment classification using hybrid machine learning ap- proach,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Document-level sentiment classification using hybrid machine learning ap- proach,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:01.862848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.910184Z digest=sha256:e6fadcf605ff5a552e42236c10e7befee1bc26e62ca790a2ff1f813f46d06afb

Observation 369cdeba-b9c0-4c77-8558-4244b654ba54 · outbound

This paper cites Syntactic n-grams as machine learning features for natural language processing,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Syntactic n-grams as machine learning features for natural language processing,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:01.600337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:52.979872Z digest=sha256:00e65090deb0bd08cb24c1b996390df3bbdd8a67e7d1b5c37acf39d6eb48d3b0

Observation 30210cc4-7e61-488d-87e3-907e4e4a1ca0 · outbound

This paper cites Sentiment classification with roberta and data augmentation techniques,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Sentiment classification with roberta and data augmentation techniques,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:01.361727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.047458Z digest=sha256:083fd8f086720a6799f185db65e41c9de9330fc5a29e2564f1b86bde11213493

Observation 69b8e2f4-5808-4426-8579-46ae2f772563 · outbound

This paper cites Continuous measurements for control of superconducting quantum circuits.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Continuous measurements for control of superconducting quantum circuits

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:12:55.702899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.075668Z digest=sha256:fb860beb5778545af0a6cd1c61ffc405038010abbd95f2aba910f4b8808bbcda

Observation c41afe79-4626-49d3-83ee-05b49bd62b19 · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A statistical interpretation of term specificity and its application in retrieval,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:01.144019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.157252Z digest=sha256:6dca00b632870c7b39f7a40739ddd3d48591d82caa1fe8afdcfc41f40d2c5fa6

Observation eead8834-5128-446e-beb4-f7b1606037f2 · outbound

This paper cites An information-theoretic perspective of tf– idf measures,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 An information-theoretic perspective of tf– idf measures,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.834054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.244302Z digest=sha256:fe5d300157092927128a131c1359ac71d694ad6364e8364986fb725022f795d0

Observation 886622ce-bf9b-4377-9f44-ca77f0158b8b · outbound

This paper cites Tweeteval: Unified benchmark and comparative evaluation for tweet classification,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Tweeteval: Unified benchmark and comparative evaluation for tweet classification,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.596055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.324605Z digest=sha256:82a353897e38a398eb385fb5309fe6f48f0b247baf8a730f99e759b84108857c

Observation 4651b243-a1e1-40f6-b6da-3cbca51189e4 · outbound

This paper cites Goemotions: A dataset of fine-grained emotions,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Goemotions: A dataset of fine-grained emotions,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.244067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.403711Z digest=sha256:f6bb2a205acd68d327e3eb28c6c28e13f595ebf0e014a6adb33ca42910044fde

Observation 286405ac-bcc1-4a04-9b20-0ba8c7a09279 · outbound

This paper cites Defending against neu- ral fake news,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Defending against neu- ral fake news,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:13:00.016339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.456939Z digest=sha256:8a7a75c2eecd9bf6ca452889c93782bcd3d1feb096cc97ad05bfb277eb8b8f81

Observation faa62dc7-4391-4008-b4d6-de626c3f3d22 · outbound

This paper cites What makes good in-context examples for gpt-3?.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 What makes good in-context examples for gpt-3?

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-07T12:12:59.743668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.507674Z digest=sha256:4f740020c800eff7e939658336ca6083ed3d50938c256c8f1e9d9eb193cd2295

Observation 4ee33c10-0db1-447d-93c3-19f004303b68 · outbound

This paper cites Persona prompt- ing for controllable and diverse text generation,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Persona prompt- ing for controllable and diverse text generation,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-07T12:12:59.288143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.593779Z digest=sha256:97f0ecb0f83bf243c17b11c616f10c53215b1f3e0f0c4c57011e9f63a623b6a2

Observation a85182cb-54d4-42c0-a43b-cce648242e80 · outbound

This paper cites Chunk-based sentiment analy- sis for long documents using transformer models,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Chunk-based sentiment analy- sis for long documents using transformer models,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:59.031304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.709527Z digest=sha256:6d0a2a38b8a42532248d819b2bfed9a3cddb72a00755fffcd6bec6476ae28972

Observation e92d526f-87e7-48ee-bea3-02e47bfeea04 · outbound

This paper cites Learning word vectors for sentiment analysis,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Learning word vectors for sentiment analysis,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.783476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.833230Z digest=sha256:9928b20bbebb29eac73ce169e179b257fa1b3b73563215187219dde17d4abee2

Observation 1c8c1f6f-f0ef-47ec-9bd4-e5d22338efd5 · outbound

This paper cites Explainable prompt learning for movie review sentiment analysis,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Explainable prompt learning for movie review sentiment analysis,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.567697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:53.929077Z digest=sha256:acc28a65828c7564421fc248c0b335c74c0253745cf43a8a85657bd7712cf734

Observation 89208768-7722-478d-a081-5d8dfc6c7f02 · outbound

This paper cites Reward Design with Language Models.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Reward Design with Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:54.004545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.004545Z digest=sha256:15d861d74b6bd0b8c2983cd50fcd201e7ea00f7d19481e9db501972647c7e7f7

Observation c2ff2a03-e66f-4815-b63c-435eda8d4011 · outbound

This paper cites Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought

Reference 74

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unresolved
no resolver link, observed 2026-08-07T12:12:54.099733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.099733Z digest=sha256:9cf3dedc2aee71804004408952519594dec9347d6df81c3fd035815470aea2b7

Observation d038704f-8fab-4efc-b1b7-739f7768149c · outbound

This paper cites More than a feeling: Accuracy and application of emo- tion analysis,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 More than a feeling: Accuracy and application of emo- tion analysis,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.355740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.172238Z digest=sha256:d59bf1753a0b43278ec23c40b23f007e2c956a139190de9bd5f2e4ad1f5ce705

Observation bea2d283-0f40-4bd2-830c-cb92ee2dd42d · outbound

This paper cites Sentiment Analysis through LLM Negotiations.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Sentiment Analysis through LLM Negotiations

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:54.260380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.260380Z digest=sha256:6c0a2cf7c0a8b7f42e20f97fe529f71515537e7610b2a83a148287f141a3b65d

Observation d6a9cd7e-41d0-4d7f-86aa-247d4f659f6d · outbound

This paper cites Audio-visual sentiment analysis for learning emotional arcs in movies,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Audio-visual sentiment analysis for learning emotional arcs in movies,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.258274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.363017Z digest=sha256:dd55d1b271db24be3cf3c57ab0b432d4c5642324e830ed1b6c57cf852ab593d3

Observation 2c06d9e2-b201-45fd-9bdd-710deeb88bec · outbound

This paper cites Multimodal deep models for predicting affective responses evoked by movies,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Multimodal deep models for predicting affective responses evoked by movies,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:58.113885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.437701Z digest=sha256:97aaa769595e57e856f1e62e0c5e18b25b8c4051ff14861e7d13a57457150875

Observation a403f881-44ed-400a-b392-02c943981fce · outbound

This paper cites Can ai write a movie review? a comparative study of human and machine criticism,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Can ai write a movie review? a comparative study of human and machine criticism,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.997948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.505125Z digest=sha256:b146bae71e697666446acb6e652d10e9ad6a444a283f8f5c708d1c15ce0844da

Observation 7bc5366a-6ead-413b-bdf9-ab40681500e7 · outbound

This paper cites All that’s ’hu- man’ is not gold: Evaluating human evaluation of gener- ated text,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 All that’s ’hu- man’ is not gold: Evaluating human evaluation of gener- ated text,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.767577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.586904Z digest=sha256:04c10b30a9f48477a0beb2703c76c6b5893cc4081a10a36bdfbf8dd61e898644

Observation cbde4b25-e9b2-449b-b3d4-c7256cbe1d4d · outbound

This paper cites LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs

Reference 81

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unresolved
no resolver link, observed 2026-08-07T12:12:54.660259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.660259Z digest=sha256:736a5e9bce736f271a0224a850dc8ed2d160be1e62238cbec7587eba01c0f40b

Observation adf39d5e-bce4-48db-98d4-7638a0434870 · outbound

This paper cites Sentiment Analysis in the Era of Large Language Models: A Reality Check.

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

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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:f87fdb8f216caaaae06c00a8e3d7b53ed836c44c2403f950e3975e0ccd29d253

Observation dcb68610-5dfa-43d4-ac3b-046d073a9047 · outbound

This paper cites Multimodal sentiment analysis: a survey of methods, trends, and challenges,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Multimodal sentiment analysis: a survey of methods, trends, and challenges,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.628709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.832798Z digest=sha256:d96345c4c16931d863d419cddd0250b0a39ff6462d6b3c9a985db996e6780dbf

Observation d71e381a-9dac-4825-986d-a35f2050cf86 · outbound

This paper cites Multimodal few-shot learning with frozen language models,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Multimodal few-shot learning with frozen language models,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.503995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:54.889247Z digest=sha256:8cec8f3ad5cf329ea2df4e78614a72fd4506d0e20f4c502f2d9c4e6266cdcd96

Observation c97fd0db-1f72-40e1-a6da-e55495935bad · outbound

This paper cites Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey

Reference 85

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unresolved
no resolver link, observed 2026-08-07T12:12:54.958270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:54.958270Z digest=sha256:9b8ac962c40baef8f6ba5d130e67a97e7c34e18c849e03a5aa0110079e889b88

Observation 9eb8d8e0-18b9-4410-b5b7-06fec20281bc · outbound

This paper cites A review on methods and applications in mul- timodal deep learning,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 A review on methods and applications in mul- timodal deep learning,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.355354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:55.058626Z digest=sha256:6f2eaeb8747b260c58ad79c18bc21f6335f5c4eb098f3445c7c679193013222f

Observation 1a7cca11-369e-403a-96e6-7955a0fba091 · outbound

This paper cites Blend: A benchmark for llms on everyday knowl- edge in diverse cultures and languages,.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Blend: A benchmark for llms on everyday knowl- edge in diverse cultures and languages,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.239657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:55.151374Z digest=sha256:c7ffb98d55fd560d639096b20af3c50ccd55e40ae0438bf05874d805dd9562dc

Observation 87a6a1c8-b027-40f0-8502-3a1d505766b4 · outbound

This paper cites Survey of Cultural Awareness in Language Models: Text and Beyond.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Survey of Cultural Awareness in Language Models: Text and Beyond

Reference 88

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unresolved
no resolver link, observed 2026-08-07T12:12:55.218323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:55.218323Z digest=sha256:f1bb7ae5a42d0bc77ab8a4099ad1443acf9137bd9b4c27e8fd4e577ec7f8304f

Observation ac789fef-2346-4542-acb7-7a78d6031e01 · outbound

This paper cites Bertaqa: How much do language models know about local culture?.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Bertaqa: How much do language models know about local culture?

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:57.077807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:12:55.298570Z digest=sha256:df0bff32b8cd423fecfd56371f58d2d193252b78fa7711b1dfe7889530c9be3e

Observation 5d8d1fe6-b626-431f-95cd-d7a75741ab34 · outbound

This paper cites Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?

Reference 90

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unresolved
no resolver link, observed 2026-08-07T12:12:55.407053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:55.407053Z digest=sha256:5739cb90d2995c370e02da3018cb24a801cb03d932d1b9d8a92e65e909cbba64

Pith citing papers

No inbound Pith citation observations are available.