Pith. sign in

Paper Citation Record · LEDGER

LLM Online Spatial-temporal Signal Reconstruction Under Noise

As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 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 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:11.946246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:11.946246Z digest=sha256:435dd997364a5b41841d17f10e6b95ab9c5da9e90c7dbcba632972dcb9acf73a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:02:13.156997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:11.951626Z digest=sha256:391e6b718e627e839e6df51353dab672c27b7a132fd596b8cde8f78e57df591a

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:11.956984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:11.956984Z digest=sha256:1eb574c7701236582be78b2cc6b9890b124e66469a3403b2e82374b36c58de84

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:11.962631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:11.962631Z digest=sha256:c0039bce085bdedcd6cd9fc7d6d5e4cedd2d453fe1bac7a63daccb7fb2998cb6

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:11.967810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:11.967810Z digest=sha256:0907884b05eb4f04e70fabed266f63de05bbc41b33670129fc2dc57af6ed3fa7

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:11.972549Z digest=sha256:e7e990b84ce985a880f397e032926d3339fc50cc693111271979a5a6e1e6ba3f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:11.977522Z digest=sha256:dda1db420f3ed852d4509e9fae3756812240482ef899aeaf3a28e13e1023da79

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:11.982858Z digest=sha256:860839692c425c374bfdb88d50483999a0c3614a6ab0b7087b0241ef0e71b660

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:11.987700Z digest=sha256:e29a9516ca5cf269826c4500b625c907d6a79b5fbd90fa210ecdfe969fcec506

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:11.992635Z digest=sha256:9f10b4b13e733ec30b0c1a09d5cc2ba8c7ba4520de17210a14f80cde965818f3

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:11.997136Z digest=sha256:cbe792be42bd9e24a5d525ac2ba8258b97aed560b11bf221a69abc12d6bd1e78

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.003547Z digest=sha256:b8be65c9f86858324f1bcfc3b90c79912878dee2ef414dc333c0d80f3e349d9c

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.009286Z digest=sha256:56e9bd46ed1572abcc8af77090c552015e53af511c3f89c4a368f967c6132e80

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.015462Z digest=sha256:4535e16347315be6769dc2fb558256065a438b675c786faab0e1055e4c874192

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.020596Z digest=sha256:9fab2cd782c8501583092d946c4b70c2612e266a387e8243de77d4538e872067

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.025196Z digest=sha256:17f4e4bc1f37c24acc45b8fb283e93aa1451c9fd23fac79e8a6a38ad868c429f

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.029567Z digest=sha256:e1327c152a3603836d82b4a639a9100fd4e54cd15ef6bc61468e2d81b70ab6e8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.033861Z digest=sha256:8d1d193c6f01f338addd1b90a4d92f43666fbf1feabe87a517da388b80379727

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.038153Z digest=sha256:a6655a2d72c881a09e3aac18a8c40c3b495fe5bd4977816ecd96c1181d7163bc

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.042747Z digest=sha256:e3dc2e84b55d4f53ce078bcf10d2e86446ff18e775b073b644de10a1b992e8ed

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.048070Z digest=sha256:eeeefddb5579cbc1a36158bc07eb10f7941a84de12dc2232e0528df19cd18fc9

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:12.053225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:12.053225Z digest=sha256:6bb22c0bf6680bae787bf0de348792364f1f6c51f8669e9b120f9ec7a5d62fcc

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.057933Z digest=sha256:c60a6eec23c5055afc7077e51cc332ceb91a84b83d294e2b0368ac5796fa6431

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.062945Z digest=sha256:b615d3dd10cce753c2026379eb2c32245ab71f2f42899ddd88b70076880f44f2

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.068325Z digest=sha256:a32450d8d20c683d2d07cb598468efb31c946b3edb3a362bf7e5504a2da6e4d6

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:12.073542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:12.073542Z digest=sha256:62cd81802eb02fe2888244a7f831876651f663d0eee5afe0ba87ef9bc3c1de61

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:12.078202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:12.078202Z digest=sha256:55bf48680ab58e54694b232307b201128ead0022d30c5afc0da0fcf952f5a314

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:12.083838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:12.083838Z digest=sha256:ecc77a370d733fabe27a3bf6861c8dd061ea3be4ed9a3303dbdea74c4fede9be

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.089395Z digest=sha256:808358930c9e7366886ba3b49cf990d1631fc4fd478e90d000045772cb695ffa

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:02:12.777813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.093822Z digest=sha256:54f2b45cf2ce2b4510ef08e523002c8abe78dbc986a9a6c6de524039d2a1ed8f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.098715Z digest=sha256:6c743b73f94f586171bdecc87354395f9f1a0df029578b84cee8abd1f2a73b0f

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:12.103701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:12.103701Z digest=sha256:55a573639f7fcbd3012a97fa9653250b8b8245d733f1413ea79b27f7b7948977

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

Resolution
unresolved
no resolver link, observed 2026-08-12T14:02:12.108923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:02:12.108923Z digest=sha256:28161a21c4aeb7f34282911ee971bc2cecf0783741d5ca321da53b5872664d7d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.114858Z digest=sha256:4a6a0015d0b3f8334b26eb66947b05da166193fe290e8e35b65f6498fd6ffe2a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:02:12.732511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.119690Z digest=sha256:3cb657b40e6663289db09057e09382dd24802cd8564808e10c674f466e08b713

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:02:12.717178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.124467Z digest=sha256:c3a5d02f64af327e7707995b3ab5332cb5cfe7aa8b42d9b55b80a958711f8ca1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:02:12.701304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.129617Z digest=sha256:cb0bf0b903883c0e4008e694281ea4f6c69e3f58e83912a42c14a4dc7894ea87

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.134442Z digest=sha256:af9664b3a77e8f8a959cb19f56b2fc4b6d7153da3f5ff4555084b112420c886e

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.139028Z digest=sha256:282080726d512fc5ebdba65c5a71933530044ed543251ec89053f2c519c4c0f0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.143918Z digest=sha256:5ade978839ffa8e6f9bb9e4f2206d3c232865a0b9da04b6feb436d39d3ff3625

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.148470Z digest=sha256:2d11da8166e4e1e7799934aab711b403874422b2da4829288ed2b8497ba1fbc4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.153455Z digest=sha256:08990a62d06be2b2b5084866acdcac778a0e3e33dcd6ffe02c8c594c22476beb

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.158182Z digest=sha256:2d6ce7be4ebd6b2939206466f922dc99ae1b593578395c6765ffea1ee73af05f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.164673Z digest=sha256:3ac32e0ba4097389e2b27335336bd4f96d86123df813560db0c62baccf6aaf62

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.169586Z digest=sha256:e89c8f9590129cd7254f9e3d40e98b7982ea1587b50f97d325c813ed47301c53

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.174999Z digest=sha256:cef714a4df5d7c04a65c25313f63ceb3ea245f29f2e514adc014d8d02921b47a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.179814Z digest=sha256:1d7fb940d18721cf210b61c162fa6f0d9ccb16776cf880ecf6ef91ce2d4a3902

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.184288Z digest=sha256:74c132cf82e2fc4be69607a6a6a4fbfa21663930ad80a300886c07c61409ad98

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.188744Z digest=sha256:6fccc7a72ff9a589539b042bfabcf9061af4f9f91bd2c87ba11e9db49081bb48

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.193246Z digest=sha256:310148a61e7d70bb4aa0f7ff0d5ea0b64ec6b25ce255c637c0e69ace5fce40e6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.197599Z digest=sha256:1e8fc880b759bd3fb32b82dc615a29952a05250cfc126336965b05353fb83a02

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.202599Z digest=sha256:3a9bf722610f33470d8cca44d5e3aa95cffdb4e15589bd64a8a455791e1a0fd9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.207616Z digest=sha256:553baae7a19778ef042e1bfae679173aad75c4ef13cd3bc5c5b3ec5383844242

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.212311Z digest=sha256:b48148fbb0a2d965ed7fcad0f041e06bb14211f3c1576e1c87556572e21e965b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.217138Z digest=sha256:88ad88cc3a185dff0b5aa9106bde0e38423a001bb34d9c970a98128c7708473b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.221392Z digest=sha256:8858fbf559959f9da7ba04896795352c0798548436be21841436dba76df2d6bf

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.225494Z digest=sha256:1a098013027aaa119b4d559e588dad855fc9ec459da92e975274db62c59352d8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:02:12.229622Z digest=sha256:c3857b4e501634d6aba879da047a546ce56d2e456db9618f7946f75b0f4963e0

Pith citing papers

No inbound Pith citation observations are available.