Paper Citation Record · LEDGER

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.10540.

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

pith.paper-citation-record.v1
2412.10540 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:56:15.653764Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 81890c5d-3498-4e5f-8047-eb30870cf6d6 · outbound

This paper cites an unresolved cited work.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 1

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Observation 7954b5ae-2421-4574-9861-fe9e97212fcc · outbound

This paper cites Abdelfattah, Saad M.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Abdelfattah, Saad M

Reference 2

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Observation b51301fd-3a3f-4321-96a5-d827705214e3 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 3

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This paper cites an unresolved cited work.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 4

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 5

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Observation c48fd9d4-da4b-42f7-96d3-26e298c75b00 · outbound

This paper cites Rethinking Attention with Performers.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Rethinking Attention with Performers

Reference 6

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This paper cites an unresolved cited work.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 7

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Observation 489131d1-7bd2-44ce-a415-a6ca77ceacd0 · outbound

This paper cites Vision Transformers Need Registers.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Vision Transformers Need Registers

Reference 8

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Observation 00ef1508-4a15-4095-8d2c-edff78424489 · outbound

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

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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This paper cites an unresolved cited work.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 10

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Observation 6458a8d0-210f-4a98-8f6c-35a72eec89c5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Observation 1f32cd4e-5f99-427b-aa08-c5b264a9bb51 · outbound

This paper cites an unresolved cited work.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 12

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Observation 568ff8b7-dace-4149-9f94-402b2dd16c03 · outbound

This paper cites UniT: Multimodal Multitask Learning with a Unified Transformer.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data UniT: Multimodal Multitask Learning with a Unified Transformer

Reference 13

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This paper cites an unresolved cited work.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 14

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Observation e9308456-cdf6-4952-b0ea-1c6a780a6ad6 · outbound

This paper cites Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

Reference 15

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Observation 47f1068f-617e-4e0b-910f-59dc687486ce · outbound

This paper cites Stock trend prediction using news sentiment analysis.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Stock trend prediction using news sentiment analysis

Reference 16

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 17

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Observation 91f8f55f-11f0-4b39-8193-85751da7767b · outbound

This paper cites HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

Reference 18

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 19

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 20

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Observation 053ad437-f33b-46bd-a9bb-3ff56d48a9f8 · outbound

This paper cites Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

Reference 21

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This paper cites Mainul Ah- san, Maishameem Meherin Muhu, Shahidul Islam Khan, and Mohammad Shafiul Alam.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Mainul Ah- san, Maishameem Meherin Muhu, Shahidul Islam Khan, and Mohammad Shafiul Alam

Reference 22

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This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 23

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Reference 24

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 27

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data LLaMA: Open and Efficient Foundation Language Models

Reference 28

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Observation 689c487e-6600-475a-b502-e3e6f068a2dd · outbound

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Multimodal Transformer for Unaligned Multimodal Language Sequences

Reference 29

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This paper cites Attention Is All You Need.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Attention Is All You Need

Reference 30

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Observation 2d53c8e1-e8bf-4d99-b57e-dffc30c576af · outbound

This paper cites The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges

Reference 31

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 33

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Unresolved cited work

Reference 35

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Observation 88ade020-92ef-41d1-8939-153e77055468 · outbound

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Root Mean Square Layer Normalization

Reference 36

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Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 38

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This paper cites Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

Reference 39

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This paper cites ACM Transactions on Information Systems (TOIS) 37, 2 (2019), 1–30.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data ACM Transactions on Information Systems (TOIS) 37, 2 (2019), 1–30

Reference 2019

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Pith citing papers

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