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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 15 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 2026-08-15T06:32:42.880941+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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  • 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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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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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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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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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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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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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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Observation 1a9e1473-e220-4755-bfd8-e9e1c9c6d78e · outbound

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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Observation 1fe6fcd8-e258-496c-b5b2-2309a04b318a · outbound

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

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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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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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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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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

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

Reference 32

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Source-reported events for the cited work

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This paper cites Long short-term memory,.

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.052574Z digest=sha256:e92f635863fe7fa7db7599e140952a12ac9cac1b5f2d9772bde9df7fd202e4ae

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.135793Z digest=sha256:e9dcba01aa4ddc7e0a53cc0fdaa6121fd96604a12a182167080c9307db341bae

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.221952Z digest=sha256:dcc6d7de47611461a9f2b79dcbafc5fe005097db968bafec70cad9296ab7f165

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

Resolution
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:ff0f043cfa7565a0620f6be3471cde4a293596b2263c45f45b3a48e53fdfb795

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.316517Z digest=sha256:b2b15e822b3888066da9db155c4ee8c13149782fe198ac4bf21193239ee5d120

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.361557Z digest=sha256:68c0c3a554938a2bbd9c0fb17b8192f574cc8c3a6a0c3691990b1a1c83c36724

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.563869Z digest=sha256:0f67bcf214c43d5b312edb219b8e689a3bc1b80c949885700808eed32dcbb5dc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.671169Z digest=sha256:07c7a76b1833192b632dbe4c2d6363abd376aaf8484bbac308c710c3dce7b149

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.806026Z digest=sha256:0e5985a8a457518f05c07cdd6e341451ac8ce1c32977ec01f6b4a325623d8acc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.915879Z digest=sha256:880557bbfde78388c14e58d87c2a77e07ff9847a6e8d9774313a82cc25b1dbb5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:51.979061Z digest=sha256:81799f8079091bcaaab7851edf0de1e8bbc09254b6236a665f749baf1b3817ef

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.078361Z digest=sha256:7dfc8ddf60ea2c8d57924a115a5ef122adcbe4a2ed913f734c520f7f536991bc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.132141Z digest=sha256:0ab349d0988018769059073e57e86ea96ec56ad4a1296e01fddb4021a46eb193

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.186828Z digest=sha256:35322f02f26c798c82cc8d22fcf8ed6386150be72c483d2c6ec2f2191d3df450

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.256389Z digest=sha256:c6768f0aae027ef796b9ad1a2e9e6f0ab9f4393b0862327cf6fd9adda3fc528c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.337910Z digest=sha256:f57abd6fadee32461e536d0cffd9086cc5488c527122b23c2187c54add059c09

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.535008Z digest=sha256:ddbae5a3780bf73b12839a4fc6a62667c38f4e6e2edcf10dd76a5ef72ed65fe3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.623753Z digest=sha256:2c7a6134bb935883e9ce7f085569ad2cbd36dafb3f4b2125e4b95d7d4a2d1cda

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.693987Z digest=sha256:cf6784112c6933c6f27f85333a6a31d0e46bd62b437d82c30e3ffe5e6d3e6094

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.796557Z digest=sha256:9787834d98ce45ac332eec695008ca83270f9f4ff13759be0fd6d3215df7d7d6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.910184Z digest=sha256:83cb4f33fee4759aa336188d56192f366bf6656d1b05f117c9e087ebba813706

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:52.979872Z digest=sha256:24286ee9851a70b5b77b5921aaf060d1e97386f582be14bbf647ec10c6ad575a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.047458Z digest=sha256:976311e0c9de9294b8cfdc9a9b41c8435affe918647e9d314adea1b52079502b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.075668Z digest=sha256:6b9d94ea195bf251e4052a290f778d3e0537fcb5396c572a126e3e32d033d3c8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.157252Z digest=sha256:9e5202be71deb4f02060686720cfc2da197c8217fe3286df2756af63bd8b6ccc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.244302Z digest=sha256:a90764090de880fd247ffa38af45e6663983c46d01c1b7a12567b2ca20f9355a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.324605Z digest=sha256:890c5418e15f142b486e5b10be97128f010db480d6c41551a90b351df5e6c7c7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.403711Z digest=sha256:9a0c99ff9dd0efd747d99ee6cf3016335f2cee8ca92e13f0c6212168fa1c8281

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.456939Z digest=sha256:fd341815c13e0093a643a6260ebb0c95e5bcfb40e71a4ba77c012d283f4d4520

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.507674Z digest=sha256:d155f7418bb2867013adf106953feecfacaabfb58b71ec048daa7887b5868f8c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.593779Z digest=sha256:daf6874a37a54e6d8c771612947dd4c5e2df1411588ea20f9f32b15b1bf42d3f

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.709527Z digest=sha256:fe0df71f34856a6d01d4de7b50290a937f8e2564df63cbc613bb2c8cb550370c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.833230Z digest=sha256:89654516ae9d3bc3eaf917389723b49c7b9da2d9f205a6046eb563a3f7d723d3

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:53.929077Z digest=sha256:99d5ef6ea37f25be692b781a345c2b619217a1ca78b651d06b42087c75c94bc5

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

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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=sha256:04944437a419a2df98c60e9e213f26011dfe1c4cb5dcf6b64093f0ea39c00c1c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.172238Z digest=sha256:9368e7e2bc8e026db5b41c91bcc049eb1be85d0b706f459109f99a9d41b1e7ab

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.363017Z digest=sha256:9a4479bef242b883f7bf82a808104d3f2ec801eb914e9edcd8ba151dbbdcc1fa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.437701Z digest=sha256:dba906ec9feecb874221d919a1696d38e75699658afdc148c7ed21ecd4fc0410

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.505125Z digest=sha256:a935bdabbf360551d24b0eacd5fac67b795f1c78ebf0ea2ffd2215c06a1e9705

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.586904Z digest=sha256:4cc513399914e2fa6ffd89ee37f53451500c8944b96b714cff8af0ff412644d3

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=sha256:3559599072226a9a96c158247761436392e5ebecbfe3050600c3bb835fd9049c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.832798Z digest=sha256:f1d121201acd0d40ef55dddb3ce82be300f4a98bb3772efa92f81971f537d393

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:54.889247Z digest=sha256:8be39c5f61d0454000ade403967b5ca91af36a9f8147dddfa8e8d008cbcf6fd6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:55.058626Z digest=sha256:c07ad9b645b2cf55aed7c8079a5f682652112a37ae7c2f1b98c4e403d9302e83

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:55.151374Z digest=sha256:fdb297913b3fb1426884cbd2436629e1801242bffe8bc4a9f57fe5a80d6a0442

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:bc8a80f817ef232ba1458f015683be923b5bcb05cb0fa7a2fd0ae1c3e250d1f6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:12:55.298570Z digest=sha256:19682e896c2ae4bfce9090447ca714ce6d5ea82eac3bab46aa5bb9fa736fa432

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.