Paper Citation Record · LEDGER

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2508.04874.

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

pith.paper-citation-record.v1
2508.04874 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:47:25.885940Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:45:53.293139Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:45:53.368248Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3fca892-60bc-4bdf-aa5f-279f1a600895 · outbound

This paper cites May 2025 for testing.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain May 2025 for testing

Reference 1

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Observation ef789fad-86aa-497d-8563-93c49750d17f · outbound

This paper cites Addressing wind power forecast errors in day-ahead pricing with energy storage systems: A distributionally robust joint chance-constrained approach,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Addressing wind power forecast errors in day-ahead pricing with energy storage systems: A distributionally robust joint chance-constrained approach,

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T23:47:26.729973Z

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Observation 8126cf30-db92-43ce-bc26-5075fd14a7ce · outbound

This paper cites Es- timating the price impact of proposed wind farms in competitive electricity markets,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Es- timating the price impact of proposed wind farms in competitive electricity markets,

Reference 3

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Observation acf9ba71-e4ce-42dc-ad8e-4b0120a245f3 · outbound

This paper cites Forecasting day-ahead electricity prices in europe: The importance of considering market integration,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Forecasting day-ahead electricity prices in europe: The importance of considering market integration,

Reference 4

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Observation c6e0c20f-79a6-4d0c-b00c-55fe3751d140 · outbound

This paper cites Impact of flow based market coupling on the european electricity markets,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Impact of flow based market coupling on the european electricity markets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:47:27.480919Z

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Observation 761f3d25-8097-4473-9f70-c8e2a32bc539 · outbound

This paper cites Electricity market crisis in europe and cross border price effects: A quantile return connectedness analysis,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Electricity market crisis in europe and cross border price effects: A quantile return connectedness analysis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:47:27.297322Z

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Observation 0cb65bca-e258-4bf8-a672-cc0f747cf9d0 · outbound

This paper cites Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets

Reference 7

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Observation 8195e456-b7cd-4885-87ad-e6deb6d257d7 · outbound

This paper cites Probabilistic forecasting in day- ahead electricity markets: Simulating peak and off-peak prices,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Probabilistic forecasting in day- ahead electricity markets: Simulating peak and off-peak prices,

Reference 8

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Observation e6e34d0f-2dbe-41fd-a000-e104ce857cc8 · outbound

This paper cites Enhancing load, wind and solar generation for day-ahead forecast- ing of electricity prices,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Enhancing load, wind and solar generation for day-ahead forecast- ing of electricity prices,

Reference 9

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Source-reported events for the cited work

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Observation 03b503f0-ce40-40d4-871e-7ca182f1f1a3 · outbound

This paper cites An ensemble approach for enhanced Day-Ahead price forecasting in electricity markets,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain An ensemble approach for enhanced Day-Ahead price forecasting in electricity markets,

Reference 10

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Source-reported events for the cited work

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Observation 314dce4a-f236-4e42-98b6-73d84f251b49 · outbound

This paper cites Day-ahead electricity price fore- casting with high-dimensional structures: Univariate vs. multivariate modeling frameworks,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Day-ahead electricity price fore- casting with high-dimensional structures: Univariate vs. multivariate modeling frameworks,

Reference 11

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Observation 052e1a5f-3cb7-46b8-8458-1735ee8a7671 · outbound

This paper cites Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets,

Reference 12

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Observation f5697651-638a-4a31-9b61-119a5e1e8977 · outbound

This paper cites an unresolved cited work.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 2f80e52b-e161-4681-b588-2d8582bfedd8 · outbound

This paper cites Forecasting day-ahead electricity prices with spatial dependence,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Forecasting day-ahead electricity prices with spatial dependence,

Reference 14

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Source-reported events for the cited work

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Observation d2ef7458-e2a6-4dc9-bb20-bef67e74372a · outbound

This paper cites Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural net- work,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural net- work,

Reference 15

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Observation ee205e6f-06fc-4ac1-a77c-00126633c1ad · outbound

This paper cites Chronos: Learning the language of time series,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Chronos: Learning the language of time series,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:47:27.066903Z

Source-reported events for the cited work

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Observation 424e7128-6cbb-4d4d-9fe3-e0b8b11813c8 · outbound

This paper cites A decoder-only foundation model for time-series forecasting,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain A decoder-only foundation model for time-series forecasting,

Reference 17

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Source-reported events for the cited work

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Observation 00d956da-7405-4a35-98b9-83088b2217a4 · outbound

This paper cites Moirai-moe: Empowering time series foundation models with sparse mixture of experts,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Moirai-moe: Empowering time series foundation models with sparse mixture of experts,

Reference 18

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This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 19

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Observation 1e99063d-d90d-45e8-bbaf-c8e58ba2baf2 · outbound

This paper cites Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark,

Reference 20

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Observation a20a0beb-8ff7-43b5-87e8-7929e83adbd5 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 21

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Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 22

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Observation 81260410-7f0e-4c7f-ba05-9bc5fd7911e5 · outbound

This paper cites A time series is worth 64 words: Long-term forecast- ing with transformers,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain A time series is worth 64 words: Long-term forecast- ing with transformers,

Reference 23

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Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 24

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Observation bc3d4ca0-13e2-44d9-9ea0-fa8fd4a619b2 · outbound

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Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Timexer: Empowering transformers for time series forecasting with exogenous variables,

Reference 25

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Observation a0d43f76-ec2a-4960-bd60-caf7f4a075f5 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

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Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Graph Attention Networks

Reference 27

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Source-reported events for the cited work

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Observation 93d98fce-2d26-4a90-a295-bcb0be71dbee · outbound

This paper cites Inductive representation learning on large graphs,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Inductive representation learning on large graphs,

Reference 28

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Observation fc3bae97-ae48-4690-adf5-701ee4a58fa5 · outbound

This paper cites Diffusion con- volutional recurrent neural network: Data-driven traffic forecasting,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Diffusion con- volutional recurrent neural network: Data-driven traffic forecasting,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:47:26.806715Z

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Observation 65386cfb-437b-4123-bc30-5d385571a48b · outbound

This paper cites Graph neural networks with convolutional arma fil- ters,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Graph neural networks with convolutional arma fil- ters,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:47:26.781875Z

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Observation fe2af4fa-59a1-4ce1-ba21-041e635b5fe2 · outbound

This paper cites Assessing the impact of renewable energy sources on the electricity price level and vari- ability – a quantile regression approach,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Assessing the impact of renewable energy sources on the electricity price level and vari- ability – a quantile regression approach,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:47:26.753655Z

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Observation c7981a79-1b4d-4a75-81c2-5e6fb064c01b · outbound

This paper cites Regularized quantile regression averaging for probabilistic electricity price forecasting,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Regularized quantile regression averaging for probabilistic electricity price forecasting,

Reference 32

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Observation c0b259f2-1671-42e1-8107-4849697435b0 · outbound

This paper cites Optimal wind power uncertainty intervals for electricity market operation,.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain Optimal wind power uncertainty intervals for electricity market operation,

Reference 33

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This paper cites OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting.

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting

Reference 34

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Pith citing papers

Observation 4509e685-3cd3-46db-ace9-154e160f32d2 · inbound

A Refutation of Elmasry's $\tilde{O}(m \sqrt{n})$-Time Algorithm for Single-Source Shortest Paths cites this paper.

A Refutation of Elmasry's $\tilde{O}(m \sqrt{n})$-Time Algorithm for Single-Source Shortest Paths Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain

Reference 1

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