Paper Citation Record · LEDGER

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.09128.

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

pith.paper-citation-record.v1
2509.09128 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:43:14.864751Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

verified exact0
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unresolved25
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03804054-9af3-49b7-834d-4b9ae88c01ea · outbound

This paper cites Sea Ice Forecasting using Attention-based Ensemble LSTM.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Sea Ice Forecasting using Attention-based Ensemble LSTM

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:13.762070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d245b5-13b0-4dbf-8ae2-1de1fb540d03 · outbound

This paper cites The mvgc multivariate granger causality toolbox: a new approach to granger-causal inference.Journal of neuro- science methods, 223:50–68,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction The mvgc multivariate granger causality toolbox: a new approach to granger-causal inference.Journal of neuro- science methods, 223:50–68,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:13.840247Z

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Unavailable: canonical work link unavailable.

Observation 203e8615-fc05-4353-a573-a620459341a2 · outbound

This paper cites Comparative analysis of recurrent neural networks in stock price prediction for different frequency domains.Algorithms, 14(8):251,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Comparative analysis of recurrent neural networks in stock price prediction for different frequency domains.Algorithms, 14(8):251,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:13.984720Z

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Unavailable: canonical work link unavailable.

Observation 0a4c9f43-1d97-4030-9753-89bc624fd996 · outbound

This paper cites Data-driven emulation of melt ponds on arctic sea ice.EGUsphere, 2024:1–18,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Data-driven emulation of melt ponds on arctic sea ice.EGUsphere, 2024:1–18,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.000992Z

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Observation 2afe4529-b13d-4aa8-9ddb-d642a0e5a168 · outbound

This paper cites Investigating causal rela- tions by econometric models and cross-spectral methods.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Investigating causal rela- tions by econometric models and cross-spectral methods

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.194895Z

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Observation c3423145-d1fb-400c-ba61-752a8cde07e4 · outbound

This paper cites Correlation to causation: A causal deep learn- ing framework for arctic sea ice prediction.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Correlation to causation: A causal deep learn- ing framework for arctic sea ice prediction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.357699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba66d15-e7b2-483a-9a01-86ecc4394143 · outbound

This paper cites Foreign exchange currency rate prediction us- ing a gru-lstm hybrid network.Soft Computing Letters, 3:100009,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Foreign exchange currency rate prediction us- ing a gru-lstm hybrid network.Soft Computing Letters, 3:100009,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.406122Z

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Unavailable: canonical work link unavailable.

Observation 664f8965-f058-479f-8bfe-94564aca6d50 · outbound

This paper cites an unresolved cited work.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.449710Z

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Observation 8df9fce4-ed4a-477a-9325-942dd3667860 · outbound

This paper cites Hierarchical information-sharing convolutional neural network for the prediction of arctic sea ice concentration and velocity.IEEE Transactions on Geoscience and Remote Sensing,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Hierarchical information-sharing convolutional neural network for the prediction of arctic sea ice concentration and velocity.IEEE Transactions on Geoscience and Remote Sensing,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.494243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a997174-b268-4c04-823f-df8283de13c9 · outbound

This paper cites Advancing arctic sea ice remote sensing with ai and deep learning: now and future.EGUsphere, 2024:1– 36,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Advancing arctic sea ice remote sensing with ai and deep learning: now and future.EGUsphere, 2024:1– 36,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.509651Z

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Unavailable: canonical work link unavailable.

Observation b3949370-ef63-4f17-b27c-4702cdec4730 · outbound

This paper cites Physics-informed deep convolutional network for com- bined sea ice concentration and velocity prediction.Ocean Engineering, 313:119440,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Physics-informed deep convolutional network for com- bined sea ice concentration and velocity prediction.Ocean Engineering, 313:119440,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.554674Z

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Observation ae379304-3759-4d11-a03c-f522281a37e9 · outbound

This paper cites Causality-Inspired Models for Financial Time Series Forecasting.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Causality-Inspired Models for Financial Time Series Forecasting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.601876Z

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Observation 8fe925a2-3c6e-4b89-b3d6-60c6e9c417d2 · outbound

This paper cites Basic books,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Basic books,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.642893Z

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Observation b76e6ff1-5ec5-457d-9950-3d9d2bc82e3a · outbound

This paper cites Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.731717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f0c3754-5b72-4681-96cd-3a522b90a232 · outbound

This paper cites Stdnet: Spatio- temporal decompose network for predicting arctic sea ice concentration.Remote Sensing, 16(23):4534, 2024.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Stdnet: Spatio- temporal decompose network for predicting arctic sea ice concentration.Remote Sensing, 16(23):4534, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.864751Z

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Observation 99ee5c66-d9b8-4a3e-825a-28539db95ed9 · outbound

This paper cites A survey on causal discovery meth- ods for iid and time series data.Transactions on Machine Learning Research,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction A survey on causal discovery meth- ods for iid and time series data.Transactions on Machine Learning Research,

Reference 1969

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.223977Z

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Observation 49caa5f6-e351-46e3-bf81-b918ea6c7cbd · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:13.940246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4a57c79-9e27-4306-95ab-7943669c69ff · outbound

This paper cites A novel deep learning approach to predict air qual- ity index.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction A novel deep learning approach to predict air qual- ity index

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.313192Z

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Observation 6e8d06b6-c1dc-407f-9525-0c95232161bc · outbound

This paper cites an unresolved cited work.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Unresolved cited work

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:13.880902Z

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Observation e412d29d-cd6f-4837-a2b5-331805eb19fa · outbound

This paper cites Sicnet season v1.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Sicnet season v1

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.663636Z

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Observation 96f65a68-d7af-41f3-b4cb-25061257b91c · outbound

This paper cites SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.830811Z

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Observation 5f61a2c8-754f-4983-bdf5-a00997dd55af · outbound

This paper cites Seasonal arctic sea ice forecasting with probabilistic deep learning.Nature communications, 12(1):5124,.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Seasonal arctic sea ice forecasting with probabilistic deep learning.Nature communications, 12(1):5124,

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:13.806466Z

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Observation 78be35d8-c7ce-450b-8005-a99b1444aab7 · outbound

This paper cites Long short-term memory.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Long short-term memory

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.268331Z

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Observation 63c55825-ce14-417e-bfac-6930f84d193c · outbound

This paper cites Subra- manian, Emam Hossain, Md Osman Gani, Alison F.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Subra- manian, Emam Hossain, Md Osman Gani, Alison F

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.045977Z

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Observation 7f9b449a-d1ff-45fa-a12b-eee9aa48da76 · outbound

This paper cites Timegraph: Synthetic benchmark datasets for robust time-series causal discov- ery.

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction Timegraph: Synthetic benchmark datasets for robust time-series causal discov- ery

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:14.102402Z

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Pith citing papers

No inbound Pith citation observations are available.