Paper Citation Record · LEDGER

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2502.09947.

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

pith.paper-citation-record.v1
2502.09947 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:03:07.450958Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

31 of 31 outbound references displayed

verified exact8
verified fuzzy6
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62ca10ac-8857-4049-81c1-76fc2fc1210e · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation , April 2024.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation , April 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:03:08.143918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 000e40b8-58c5-4074-a672-4a71b3480b28 · outbound

This paper cites Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.339147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5832604d-dc68-4eb3-8afc-64bc0c7a4389 · outbound

This paper cites Language Models are Few-Shot Learners.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.342970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06bb011e-9d1a-4cdc-b654-f44c79bf0651 · outbound

This paper cites Equal Opportunity for Low - Degree Network Nodes : A PageRank - Based Method for Protein Target Identification in Metabolic Graphs.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Equal Opportunity for Low - Degree Network Nodes : A PageRank - Based Method for Protein Target Identification in Metabolic Graphs

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T20:03:07.553341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6828b44b-bf4f-4f0a-bb8a-c2ed90aac4c7 · outbound

This paper cites Representation Learning of Daily Movement Data Using Text Encoders.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Representation Learning of Daily Movement Data Using Text Encoders

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:03:08.038314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 524a18ba-f87e-4fbb-9194-539092e64b56 · outbound

This paper cites Semi- Supervised Time Series Classification by Temporal Relation Prediction.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Semi- Supervised Time Series Classification by Temporal Relation Prediction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.354489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d4a8684-64fd-4bc9-8791-fb00f9365b7b · outbound

This paper cites Unsupervised Scalable Representation Learning for Multivariate Time Series.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Unsupervised Scalable Representation Learning for Multivariate Time Series

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:03:08.133009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ee4af0f-5481-436d-a8d6-a94e9fb13e52 · outbound

This paper cites Harris, K.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Harris, K

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.361999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c074b05-27fb-4129-9c06-195b7627db9a · outbound

This paper cites Semi-supervised Embedding for Scalable and Accurate Time Series Clustering.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Semi-supervised Embedding for Scalable and Accurate Time Series Clustering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.365603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989de192-2ffa-4f4f-8d02-740d660be6ad · outbound

This paper cites When the Web meets the cell: using personalized PageRank for analyzing protein interaction networks.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model When the Web meets the cell: using personalized PageRank for analyzing protein interaction networks

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T20:03:07.541790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 867407cb-2c6b-4a70-ba22-ec86d8c877be · outbound

This paper cites Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T20:03:07.530815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66ab16a8-96c8-49b4-bab6-8456a5dadd61 · outbound

This paper cites Kontopoulou, Athanasios D.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Kontopoulou, Athanasios D

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T20:03:07.518983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6c1913d-ac8b-45ba-bda5-5da4f7451082 · outbound

This paper cites Kueper, Mark Speechley, and Manuel Montero-Odasso.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Kueper, Mark Speechley, and Manuel Montero-Odasso

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T20:03:07.507776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9336cfeb-dc72-400c-acdf-aeffaba8b523 · outbound

This paper cites The Mini - Mental State Examination ( MMSE ).

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model The Mini - Mental State Examination ( MMSE )

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.385054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33211d58-5c30-45a7-ab3c-37c2ad67fda1 · outbound

This paper cites Spatio- Temporal Consistency for Multivariate Time - Series Representation Learning.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Spatio- Temporal Consistency for Multivariate Time - Series Representation Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.388906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9efebb-d5d6-41c9-9a2d-40ba3f890e1b · outbound

This paper cites Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.392558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39b54c1-8e6d-4a03-a176-7f36992316e8 · outbound

This paper cites AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.396820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e4aa09-29b8-4200-8e89-ba7de924dba1 · outbound

This paper cites Decoupled Weight Decay Regularization.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Decoupled Weight Decay Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.400802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6dcf2a7-d6d3-46ef-9d76-00b9f798c870 · outbound

This paper cites Improving Clinical Predictions through Unsupervised Time Series Representation Learning.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Improving Clinical Predictions through Unsupervised Time Series Representation Learning

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T20:03:07.744683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b5f3ce0-7d49-4f7b-93b9-8bf11fcc4116 · outbound

This paper cites Masini, Marcelo C.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Masini, Marcelo C

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.409167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b68b4c-4de5-46a2-bed6-e4244d4574cf · outbound

This paper cites Data structures for statistical computing in python.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Data structures for statistical computing in python

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:03:08.115255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6ebeea2-b8fb-407d-8c30-c943d7380d80 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model MTEB: Massive Text Embedding Benchmark

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.417041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe2727cf-9c85-43ed-ac76-e9d9027bb351 · outbound

This paper cites Motwani, and T.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Motwani, and T

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:03:08.103587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 18caec2b-a793-4962-a9c6-50740b22d690 · outbound

This paper cites Scikit-learn: Machine learning in Python.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Scikit-learn: Machine learning in Python

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:03:08.093122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f443f3f8-d624-416c-b5d0-a5224b64e259 · outbound

This paper cites Forecasting financial budget time series: ARIMA random walk vs LSTM neural network.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Forecasting financial budget time series: ARIMA random walk vs LSTM neural network

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T20:03:07.482185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a09622d-1a34-41bf-a1c4-c3d868241438 · outbound

This paper cites ARIMA Model Time Series Forecasting.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model ARIMA Model Time Series Forecasting

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-07T20:03:07.719536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fb71bbd-a563-4871-b784-2f4193d24b7b · outbound

This paper cites Viualizing data using t- SNE.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Viualizing data using t- SNE

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:03:08.083531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f43c9c5-caeb-4375-a7d3-fb4d393fe11d · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.440176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c923fa-58f8-4fdb-8d65-479c0b6e12c0 · outbound

This paper cites an unresolved cited work.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:03:08.067386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d538ac6-ed0e-4771-aa27-3b0e8194a7c5 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model C-Pack: Packed Resources For General Chinese Embeddings

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.447430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43bf8354-d648-4753-bc04-f105eb9c3875 · outbound

This paper cites LBP4MTS : Local Binary Pattern - Based Unsupervised Representation Learning of Multivariate Time Series.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model LBP4MTS : Local Binary Pattern - Based Unsupervised Representation Learning of Multivariate Time Series

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.450958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.