Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:41.196274Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.24476.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:41.196274Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:03:50.055081Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
49 of 49 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation 12862d8f-9f4e-4c32-92fd-43b7cf5759c4 · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Weather forecasting model using artificial neural network
Reference 1
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model GPT-4 Technical Report
Reference 2
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Observation 84fd21bd-c152-4183-a36b-a88f313169be · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Flamingo: a visual language model for few-shot learning
Reference 3
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Observation 918baa52-62bb-4659-8d61-b7066d325f3c · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Spatio-temporal atten- tion and magnification for classification of parkinson’s dis- ease from videos collected via the internet
Reference 4
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 5
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Observation 7af58b41-74a9-4793-b4e9-fd7764968626 · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Unsupervised skin tissue seg- mentation for remote photoplethysmography.Pattern Recog- nition Letters, 124:82–90, 2019
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Counting out time: Class agnostic video repetition counting in the wild
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Imagebind: One embedding space to bind them all
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Observation 9c432380-8d0f-4fe8-b7d2-01f4807c0391 · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Onellm: One framework to align all modalities with language
Reference 9
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Transrac: Encoding multi- scale temporal correlation with transformers for repetitive action counting
Reference 10
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Gradient-based learning applied to document recog- nition
Reference 11
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model VideoChat: Chat-Centric Video Understanding
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Mvbench: A comprehensive multi-modal video understand- ing benchmark
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Visual instruction tuning
Reference 17
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Observation 3ac7c2ef-6883-4c64-aacb-a4227e71242e · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Visual instruction tuning
Reference 18
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
Reference 19
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Multi-task temporal shift attention networks for on-device contactless vitals measurement
Reference 20
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Metaphys: few-shot adaptation for non-contact physiological measurement
Reference 21
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model rppg-mae: Self-supervised pretraining with masked autoencoders for remote physiological mea- surements
Reference 22
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Monitoring gait at home with radio waves in parkin- son’s disease: A marker of severity, progression, and med- ication response
Reference 23
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Class-agnostic counting
Reference 24
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Dual-gan: Joint bvp and noise modeling for remote physiological measurement
Reference 25
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Gpt as psychologist? preliminary evaluations for gpt-4v on visual affective computing
Reference 26
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Observation 1646c9f3-a123-4005-9125-201509576e94 · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Valley: Video Assistant with Large Language model Enhanced abilitY
Reference 27
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Observation e527dfdf-c073-4f43-9b68-c8f8baf1c070 · outbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Video Anomaly Detection and Explanation via Large Language Models
Reference 28
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Reference 30
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Rhythmnet: End-to-end heart rate estimation from face via spatial-temporal representation
Reference 31
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Reference 32
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Learning transferable visual models from natural language supervi- sion
Reference 33
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model The first vision for vitals (v4v) chal- lenge for non-contact video-based physiological estimation
Reference 34
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Reference 35
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model A dataset of clinically recorded radar vital signs with synchro- nised reference sensor signals
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Predicting weather forecast uncertainty with machine learning
Reference 37
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Reference 38
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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Deepphase: Periodic autoencoders for learning motion phase manifolds
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Reference 49
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Reference 51
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Reference 52
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OralMLLM-Bench: Evaluating Cognitive Capabilities of Multimodal Large Language Models in Dental Practice Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
Reference 56
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