Paper Citation Record · LEDGER

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.00316.

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

pith.paper-citation-record.v1
2412.00316 v3

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:35:51.765091Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

51 of 51 outbound references displayed

verified exact2
verified fuzzy3
unresolved46
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External citation measurements

No source-named external measurement is stored.

Outbound references

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting In International Conference on Machine Learning

Reference 11

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites IEEE Transactions on Knowledge and Data Engineering 36, 6 (2024), 2504–2516.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting IEEE Transactions on Knowledge and Data Engineering 36, 6 (2024), 2504–2516

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites an unresolved cited work.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting DeepSeek-V3 Technical Report

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Scaling Laws for Neural Language Models

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Unresolved cited work

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This paper cites Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (Seattle, WA, USA) (SIGSPATIAL ’20)

Reference 2020

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting In Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining

Reference 2021

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Reference 2022

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting In Proceedings of the AAAI Conference on Artificial Intelligence , Vol

Reference 2023

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting A Survey on Mixture of Experts in Large Language Models

Reference 2024

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Pith citing papers

No inbound Pith citation observations are available.