Paper Citation Record · LEDGER

LLM Online Spatial-temporal Signal Reconstruction Under Noise

As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 2 inbound Pith citation observations for arXiv:2411.15764.

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

pith.paper-citation-record.v1
2411.15764 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:12.229622Z

measured 60 of 60 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:06:08.787070Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T17:02:49.767489Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy47
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5c11a58-9bf4-4ff3-9dbf-88a16abb40fe · outbound

This paper cites Multimodal biomedical ai,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Multimodal biomedical ai,

Reference 1

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Source-reported events for the cited work

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Observation cb27bdc2-709c-420a-b184-ca24ce88e4a5 · outbound

This paper cites Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications,

Reference 2

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Observation 5811e772-df3b-4be6-aca6-25b715a450d1 · outbound

This paper cites Better language models and their implications,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Better language models and their implications,

Reference 3

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Observation d81a38be-0666-4fcd-91b3-88efe3735038 · outbound

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

LLM Online Spatial-temporal Signal Reconstruction Under Noise BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

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Observation 58ba2c25-f575-42b4-b64c-26d32149baf6 · outbound

This paper cites Gpt-3: Its nature, scope, limits, and consequences,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Gpt-3: Its nature, scope, limits, and consequences,

Reference 5

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Observation 7579726c-0dc3-45b9-83f2-10cc7f8c762f · outbound

This paper cites Gpt-4: a new era of artificial intelligence in medicine,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Gpt-4: a new era of artificial intelligence in medicine,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.108504Z

Source-reported events for the cited work

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Observation 293c97c5-048b-4598-993a-4347e65a31ac · outbound

This paper cites ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

LLM Online Spatial-temporal Signal Reconstruction Under Noise ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:11.977522Z

Source-reported events for the cited work

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Observation 41e6b605-56d4-4225-a459-ac62635a94ed · outbound

This paper cites Application of kimi intelligent assistant in the teaching of water pollution control engineering course,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Application of kimi intelligent assistant in the teaching of water pollution control engineering course,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.093203Z

Source-reported events for the cited work

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Observation de7c659a-6494-41dd-aad9-8351374c37e1 · outbound

This paper cites Decoding chatgpt: a taxonomy of existing research, current challenges, and possible future directions,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Decoding chatgpt: a taxonomy of existing research, current challenges, and possible future directions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.073424Z

Source-reported events for the cited work

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Observation 23ae8179-4af8-4964-bbdd-0b4b46240f5f · outbound

This paper cites Exploring multilingual pretrained machine translation models for interactive translation,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Exploring multilingual pretrained machine translation models for interactive translation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.056822Z

Source-reported events for the cited work

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Observation 650ca737-8a84-43d0-b759-2e8dcabc07ba · outbound

This paper cites Llms to the moon? reddit market sentiment analysis with large language models,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Llms to the moon? reddit market sentiment analysis with large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.040002Z

Source-reported events for the cited work

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Observation 5f7b577a-f5eb-4ecc-a2ff-347b4eb1abd4 · outbound

This paper cites Evaluating large language models on medical evidence summarization,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Evaluating large language models on medical evidence summarization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.023408Z

Source-reported events for the cited work

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Observation 84232b63-baf9-4a1d-a4a8-f2e9836d9d29 · outbound

This paper cites Brain connectivity and graph theory analysis in alzheimer’s and parkinson’s disease: the contribution of electrophysiological techniques,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Brain connectivity and graph theory analysis in alzheimer’s and parkinson’s disease: the contribution of electrophysiological techniques,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:13.006878Z

Source-reported events for the cited work

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Observation f367ae6d-a7b5-4c1d-b720-d0f464be61da · outbound

This paper cites Graph learning based financial market crash identification and prediction,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Graph learning based financial market crash identification and prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.991503Z

Source-reported events for the cited work

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Observation 9bf9b406-4f21-47fe-ac3e-a2b1573d72ce · outbound

This paper cites Community detection algorithms in healthcare applications: a systematic review,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Community detection algorithms in healthcare applications: a systematic review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.975784Z

Source-reported events for the cited work

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Observation e1ed1f94-4bc2-4b2f-bc0c-88cbee5e4d21 · outbound

This paper cites Binarized simplicial convolutional neural networks,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Binarized simplicial convolutional neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.959425Z

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 30cb7db1-4cb4-4713-81e0-2f8966cd12c7 · outbound

This paper cites RGDAN: A random graph diffusion attention network for traffic prediction,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise RGDAN: A random graph diffusion attention network for traffic prediction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.942031Z

Source-reported events for the cited work

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Observation 37929787-070d-4f44-b047-16b5042f87e3 · outbound

This paper cites Quantum feature embeddings for graph neural networks.,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Quantum feature embeddings for graph neural networks.,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.925917Z

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 3831a7ac-c0c5-44e5-a2ff-677ff565dc3e · outbound

This paper cites Monitoring and flaw detection during wire-based directed energy deposition using in-situ acoustic sensing and wavelet graph signal analysis,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Monitoring and flaw detection during wire-based directed energy deposition using in-situ acoustic sensing and wavelet graph signal analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.910547Z

Source-reported events for the cited work

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Observation 993fbe30-d55c-43a6-bf10-8b7941f1a3dd · outbound

This paper cites Emerging trends in eeg signal processing: A systematic review,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Emerging trends in eeg signal processing: A systematic review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.894500Z

Source-reported events for the cited work

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Observation 03de297c-e22a-4608-8706-c178e6b33f74 · outbound

This paper cites Graph signal processing for machine learning: A review and new perspectives,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Graph signal processing for machine learning: A review and new perspectives,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.877318Z

Source-reported events for the cited work

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Observation aefca31a-773c-46da-8388-e84567041d0c · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Semi-supervised classification with graph convolutional networks,

Reference 22

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Observation 79d86b2e-18d4-4a1e-a8ec-55e5c47cd670 · outbound

This paper cites Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.850622Z

Source-reported events for the cited work

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Observation 6b29aef7-f838-43d1-9994-106f502b246e · outbound

This paper cites Robust adaptive estimation of graph signals based on welsch loss,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Robust adaptive estimation of graph signals based on welsch loss,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.834924Z

Source-reported events for the cited work

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Observation 979cf65a-2c4e-4352-a109-c8cc1a62cfee · outbound

This paper cites Adaptive sign algorithm for graph signal processing,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Adaptive sign algorithm for graph signal processing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.819381Z

Source-reported events for the cited work

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Observation e95621da-9a1d-4400-9f04-87b2f1c46a25 · outbound

This paper cites Large language models on graphs: A comprehensive survey,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Large language models on graphs: A comprehensive survey,

Reference 26

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Observation 23b158b9-821d-4551-b8bc-6fdae05d43bb · outbound

This paper cites Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?

Reference 27

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Observation 34b6b01d-3e68-47f2-a7fd-7fe624a60788 · outbound

This paper cites Language is All a Graph Needs.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Language is All a Graph Needs

Reference 28

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Observation 62a75ba6-006d-4f76-b21e-286fe3304ccf · outbound

This paper cites Graph signal processing: Overview, challenges, and ap- plications,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Graph signal processing: Overview, challenges, and ap- plications,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.792383Z

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Observation 77a85336-d536-4525-be28-6377a0a51ac6 · outbound

This paper cites Design of graph filters and filterbanks,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Design of graph filters and filterbanks,

Reference 30

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Observation 6c968af0-7a00-4989-b12f-4644417946c9 · outbound

This paper cites Language models are few-shot learners,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Language models are few-shot learners,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.763310Z

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Observation 3e204bf8-8530-42a9-a846-a3cf5899d0b4 · outbound

This paper cites GPT-4 Technical Report.

LLM Online Spatial-temporal Signal Reconstruction Under Noise GPT-4 Technical Report

Reference 32

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Source-reported events for the cited work

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Observation 6fef1650-8a28-4d63-b365-6571f338bbdb · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 33

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Source-reported events for the cited work

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Observation 78e10a26-fedf-453a-aeb1-b54e993e0507 · outbound

This paper cites Reconstruction of time-varying graph signals via sobolev smoothness,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Reconstruction of time-varying graph signals via sobolev smoothness,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.747859Z

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Observation e0f08c00-b7c1-4183-a73d-d50085e82625 · outbound

This paper cites Spatiotem- poral smoothing aggregation enhanced multi-scale residual deep graph convolutional networks for skeleton-based gait recognition,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Spatiotem- poral smoothing aggregation enhanced multi-scale residual deep graph convolutional networks for skeleton-based gait recognition,

Reference 35

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Observation b4d368d8-c061-4f1c-a388-ec11356dce6a · outbound

This paper cites Smoothness harmonic: A graph-based approach to reveal spatiotemporal patterns of cortical dynamics in fmri data,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Smoothness harmonic: A graph-based approach to reveal spatiotemporal patterns of cortical dynamics in fmri data,

Reference 36

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Observation 81d071ec-83bc-4e2e-a8ad-8061af65323c · outbound

This paper cites Eve: explainable vector based em- bedding technique using wikipedia,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Eve: explainable vector based em- bedding technique using wikipedia,

Reference 37

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Observation c04e9012-c1b1-4f00-b96e-fa5445488ff0 · outbound

This paper cites node2vec: Scalable feature learning for networks,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise node2vec: Scalable feature learning for networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.686364Z

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Observation 03c082a1-02e3-4e49-af87-a4085c82cf6b · outbound

This paper cites Seattle loop detector data,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Seattle loop detector data,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.671724Z

Source-reported events for the cited work

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Observation e9da1ef1-7dbb-4cda-bba3-8486e77a717a · outbound

This paper cites National oceanic and atmospheric administration (noaa) weather data,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise National oceanic and atmospheric administration (noaa) weather data,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.656411Z

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Observation 6a3620bb-f56b-43f9-8f7e-3dd4c1237732 · outbound

This paper cites Graph normalized-lmp algo- rithm for signal estimation under impulsive noise,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Graph normalized-lmp algo- rithm for signal estimation under impulsive noise,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.641807Z

Source-reported events for the cited work

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Observation 3c49b132-c6c7-429c-ac77-4fd0d1561f38 · outbound

This paper cites Adaptive least mean squares estimation of graph signals,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Adaptive least mean squares estimation of graph signals,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.627004Z

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Observation df1bc306-8a5d-4593-818d-95d4ae020e45 · outbound

This paper cites Normalized lms algorithm and data-selective strategies for adaptive graph signal estimation,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Normalized lms algorithm and data-selective strategies for adaptive graph signal estimation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.613181Z

Source-reported events for the cited work

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Observation d26d7cab-e5cd-43c5-a0ae-ff46b34aaf95 · outbound

This paper cites Adaptive message passing sign algorithm,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Adaptive message passing sign algorithm,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.598600Z

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 7604ce52-9140-4e99-8628-fd82ecb36183 · outbound

This paper cites Forecasting Time Series With V ARMA Recursions on Graphs,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Forecasting Time Series With V ARMA Recursions on Graphs,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.582698Z

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 e73cb4ff-d26b-498f-a79f-69e6102a4e95 · outbound

This paper cites Multivariate time series forecasting with GARCH models on graphs,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Multivariate time series forecasting with GARCH models on graphs,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.567579Z

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 6feb2043-842d-41f9-99f9-0b76ff789fd7 · outbound

This paper cites Simac: simulating agile collaboration to generate acceptance criteria in user story elaboration,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Simac: simulating agile collaboration to generate acceptance criteria in user story elaboration,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.552780Z

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 75f8bb0b-145d-42ce-9d92-9db2adec3bd5 · outbound

This paper cites Can large language models truly understand prompts? a case study with negated prompts,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Can large language models truly understand prompts? a case study with negated prompts,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.537388Z

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 fe460475-cf5b-4a9b-aac0-8ef40dbfccae · outbound

This paper cites Gpt4mts: Prompt- based large language model for multimodal time-series forecasting,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Gpt4mts: Prompt- based large language model for multimodal time-series forecasting,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.520894Z

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 dd44125b-8fce-43e3-ae80-7d53f22dd4a0 · outbound

This paper cites Zero-shot and few-shot learning with knowledge graphs: A comprehensive survey,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Zero-shot and few-shot learning with knowledge graphs: A comprehensive survey,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.505415Z

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 5bc3ba41-6f4e-4746-8580-a8b12baaa9ab · outbound

This paper cites Evaluating very long-term conversational memory of llm agents,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Evaluating very long-term conversational memory of llm agents,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.490178Z

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 3225b867-43e9-404f-9f35-9981f561732a · outbound

This paper cites Putting gpt-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Putting gpt-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.475653Z

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

Observation 436725cd-d6b3-403a-b597-20cf6b9403f7 · outbound

This paper cites Modelling impulsive noise in indoor powerline communication systems,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Modelling impulsive noise in indoor powerline communication systems,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.458689Z

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

Observation 71bafa99-a7c4-4a23-b23e-27f203e368f1 · outbound

This paper cites Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.441011Z

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 bddcc60c-2992-4a33-824c-b114e91973ce · outbound

This paper cites An alpha-stable approach to the study of the p (d) distribution of unresolved point sources in cmb sky maps,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise An alpha-stable approach to the study of the p (d) distribution of unresolved point sources in cmb sky maps,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.424813Z

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 73048feb-33e6-44e2-9e9e-a62bb138479d · outbound

This paper cites A new analytic representation for the symmetric alpha-stable probability density function,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise A new analytic representation for the symmetric alpha-stable probability density function,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.408830Z

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 c75c5082-c7b5-4338-a843-e9d1c4de7b74 · outbound

This paper cites Using annotations for summarizing a document image and itemizing the summary based on similar annota- tions,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Using annotations for summarizing a document image and itemizing the summary based on similar annota- tions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.392861Z

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 e2836d9c-66cd-4826-8415-03d8da5985af · outbound

This paper cites Insights on features’ contribution to desalination dynamics and capacity of capacitive deionization through machine learning study,.

LLM Online Spatial-temporal Signal Reconstruction Under Noise Insights on features’ contribution to desalination dynamics and capacity of capacitive deionization through machine learning study,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:12.374425Z

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.

Pith citing papers

Observation 27f7bc2f-e47c-4ee0-a128-eb6d52b936ac · inbound

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models cites this paper.

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models LLM Online Spatial-temporal Signal Reconstruction Under Noise

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:06:08.787070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052de83f-85e3-4cfc-8704-f912461b0f51 · inbound

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models cites this paper.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models LLM Online Spatial-temporal Signal Reconstruction Under Noise

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:02:49.774485Z

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.