Paper Citation Record · LEDGER

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.15810.

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

pith.paper-citation-record.v1
2508.15810 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:02:29.404154Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy5
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fea7d95-3931-4a94-943d-41bb0b28da5b · outbound

This paper cites GPT-4 Technical Report.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.329731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becb517f-ec60-4f13-8575-372bc8b8be2e · outbound

This paper cites hidden language.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models hidden language

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:02:29.592533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15bc1d99-f44d-4687-ad23-0c3ea4a3347c · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.344832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20321474-7967-4c3e-b92b-d9d968e5fc19 · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Deep Anomaly Detection with Outlier Exposure

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.349737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627c231e-00cb-4f38-9ae3-3717a9df890d · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.351869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8c22c8-3c40-4aa4-aa10-db526f47e39f · outbound

This paper cites MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.354181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7045342e-0c64-43bf-92fc-f78acd27bbad · outbound

This paper cites GPT-4o System Card.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models GPT-4o System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.356429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a49f9581-030e-4f1a-b28c-f9d3e4d18ce3 · outbound

This paper cites MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.360602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eface75-9228-4622-b38e-64ada7d9de03 · outbound

This paper cites Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.362654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef374d75-06cb-4d0a-ba0e-fe3784ff9f3c · outbound

This paper cites Mmsci: A multimodal multi-discipline dataset for phd-level scientific comprehension.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Mmsci: A multimodal multi-discipline dataset for phd-level scientific comprehension

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:02:29.615927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af1d8bd7-abb0-4959-bb48-47c58cd8bcb8 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.366987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a774700-caa3-4a9d-b5f2-f44e867b9e25 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.372162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3c4743-8df8-4e5c-a093-969b13977120 · outbound

This paper cites MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.374769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31494893-775c-4715-bb82-a909d7f623d7 · outbound

This paper cites SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.377244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cfe8d6-e444-40a9-9a18-86d758568642 · outbound

This paper cites Making monolingual sentence embeddings multilingual using knowledge distillation.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Making monolingual sentence embeddings multilingual using knowledge distillation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:02:29.608748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad42130c-a8c1-471e-be49-50978d6c880b · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.381550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201b3a3c-b695-4954-b796-3d4b35a02981 · outbound

This paper cites MileBench: Benchmarking MLLMs in Long Context.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MileBench: Benchmarking MLLMs in Long Context

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.383622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be124607-f018-4254-ac2d-af898c123264 · outbound

This paper cites EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.385690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd1883a-5a8b-474d-9fb9-1f25c7b97321 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.387912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee8a408-9956-4360-b8ff-9fcf4ba25fdb · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.389991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbbc9ca6-02d0-40cf-b3c7-aab3248bed83 · outbound

This paper cites MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.391998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a130d33-fea6-4190-96f3-e15bfc577cd6 · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.394263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bcca34b-ff1d-491e-a46e-6baeeff19d76 · outbound

This paper cites GLM-130B: An Open Bilingual Pre-trained Model.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models GLM-130B: An Open Bilingual Pre-trained Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.396627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3439c7d-ce7b-477d-94a0-5ae8849d0533 · outbound

This paper cites We strictly ensure that all content included in the MAC com- plies with the open access or public use policies stated by each publisher.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models We strictly ensure that all content included in the MAC com- plies with the open access or public use policies stated by each publisher

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:02:29.600818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb41628a-a3ad-4069-8e67-6dbdb0ee2fd6 · outbound

This paper cites pills” and a “prescription pad.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models pills” and a “prescription pad

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:02:29.584827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c20ef11-4b9e-4f30-a229-8584e9461cf6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.347482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81bca4f-c5d6-4b8b-9d82-afa9151ee616 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.339152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2149beb5-55a5-461a-b49f-c4b5decf8e82 · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.358499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49c4bce-1eaa-4548-8b63-b709d915c746 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.369602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d1e9cc-eef5-4eec-95a6-047767e8484c · outbound

This paper cites Data Filtering Networks.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Data Filtering Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.341710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 309ce0f9-f158-437c-bb05-734eefa9bc12 · outbound

This paper cites Qwen2.5-VL Technical Report.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models Qwen2.5-VL Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.333285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88a93010-9c93-402d-a712-08a190a07248 · outbound

This paper cites What is the Visual Cognition Gap between Humans and Multimodal LLMs?.

Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models What is the Visual Cognition Gap between Humans and Multimodal LLMs?

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T20:02:29.336046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.