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Paper Citation Record · LEDGER

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.11890.

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

pith.paper-citation-record.v1
2505.11890 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:34.483309Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • verified fuzzy29
  • unresolved9
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External citation measurements

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Outbound references

Observation 9ae34260-9cd8-4177-8c47-ebaedaffde80 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 1

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Observation f2e4bfd6-d934-4098-bae8-588f7dd00c9c · outbound

This paper cites Journal of financial econometrics2(1), 1–37 (2004).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Journal of financial econometrics2(1), 1–37 (2004)

Reference 2

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Observation a62883ec-ef90-474c-a4d2-b5badb638e3f · outbound

This paper cites John Wiley & Sons (2015).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions John Wiley & Sons (2015)

Reference 3

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Observation 4d4619c4-4ae4-4bfa-8ecd-44afe3de57d7 · outbound

This paper cites JASF8(16), 94–138 (2017) Title Suppressed Due to Excessive Length 11.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions JASF8(16), 94–138 (2017) Title Suppressed Due to Excessive Length 11

Reference 4

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Observation b7a79d32-beb6-4963-b17a-cc5eb2f707e7 · outbound

This paper cites Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators

Reference 5

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Observation bc293f44-4fc3-4312-b906-01a9b4d5e424 · outbound

This paper cites Journal of Business & economic statistics20(1), 134–144 (2002).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Journal of Business & economic statistics20(1), 134–144 (2002)

Reference 6

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Observation 44857773-d4f3-44e5-9a8a-160fa8ca962e · outbound

This paper cites an unresolved cited work.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Unresolved cited work

Reference 7

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Observation 72576b53-4ad8-4073-bd1f-a6cab1a228fe · outbound

This paper cites Energy Economics34(6), 1826–1833 (2012).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Energy Economics34(6), 1826–1833 (2012)

Reference 8

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Observation cd8e8fbf-ee1b-451a-a45e-a293fe8bdef4 · outbound

This paper cites Applied Energy 277, 115503 (2020).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Applied Energy 277, 115503 (2020)

Reference 9

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Observation 8651916b-4e11-4155-9b0b-479a6f97c358 · outbound

This paper cites In: Magnenat Thalmann, N., Hu, X., Sheng, B., Thalmann, D., Peng, T., Meng, W., Huang, J., Zhu, L., Wei, X.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: Magnenat Thalmann, N., Hu, X., Sheng, B., Thalmann, D., Peng, T., Meng, W., Huang, J., Zhu, L., Wei, X

Reference 10

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Observation 4847e12f-9007-4148-a60b-517b60dd2997 · outbound

This paper cites bioRxiv pp.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions bioRxiv pp

Reference 11

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Observation 7741aabd-90fd-4b3e-b571-62679f18805a · outbound

This paper cites Applied Intelligence55(8), 1–11 (2025).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Applied Intelligence55(8), 1–11 (2025)

Reference 12

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Observation 22426565-196b-4158-ad97-13d8ddae31b4 · outbound

This paper cites Applied energy 211, 890–903 (2018).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Applied energy 211, 890–903 (2018)

Reference 13

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Observation f5adfc29-ea11-4199-8d21-a5125344a98e · outbound

This paper cites applied sciences 10(7), 2322 (2020).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions applied sciences 10(7), 2322 (2020)

Reference 14

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Observation 97274631-0cc8-40d1-87ed-f12806c4966f · outbound

This paper cites Journal of Applied Econometrics27(6), 934–955 (2012).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Journal of Applied Econometrics27(6), 934–955 (2012)

Reference 15

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Observation 3e1d4ef0-c545-4bb6-a157-ffd0281cedbf · outbound

This paper cites NeurIPS33, 9459–9474 (2020).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions NeurIPS33, 9459–9474 (2020)

Reference 16

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Observation 79e6262f-1ef4-4e01-aca3-f973b4a36ae7 · outbound

This paper cites International Journal of Forecasting 37(4), 1748–1764 (2021).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions International Journal of Forecasting 37(4), 1748–1764 (2021)

Reference 17

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Observation 6b7ce8be-4e8b-450a-82c4-b9636f189223 · outbound

This paper cites Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis

Reference 18

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Observation 5ea1f3e1-b585-4572-9027-63cb2e704b8f · outbound

This paper cites In: Wand, M., Malinovská, K., Schmidhuber, J., Tetko, I.V.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: Wand, M., Malinovská, K., Schmidhuber, J., Tetko, I.V

Reference 19

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Observation d6039f27-2939-4970-a764-943d6d665dd6 · outbound

This paper cites MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network

Reference 20

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Observation d6f00f80-c7bf-49a3-9df0-15ac1c83dd58 · outbound

This paper cites In: 2008 6th International Symposium on Communication Systems, Net- works and Digital Signal Processing.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: 2008 6th International Symposium on Communication Systems, Net- works and Digital Signal Processing

Reference 21

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Observation 88751ccc-be19-4e0f-b005-a13d1522d72c · outbound

This paper cites In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.L., Bhattacharya, S., Pal, U.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.L., Bhattacharya, S., Pal, U

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 063b1fb6-6a91-4bae-8e6c-91f273842ed5 · outbound

This paper cites IEEE Transactions on Power Systems28(2), 1093–1102 (2012).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions IEEE Transactions on Power Systems28(2), 1093–1102 (2012)

Reference 23

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Observation 3c5afefd-3315-40fb-a091-adcd78e0a52d · outbound

This paper cites International Journal of Forecasting37(4), 1691–1709 (2021).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions International Journal of Forecasting37(4), 1691–1709 (2021)

Reference 24

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Observation a04e7f50-f650-4645-98cc-acba88a9f7e9 · outbound

This paper cites Australian Economic Review53(2), 165–182 (2020).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Australian Economic Review53(2), 165–182 (2020)

Reference 25

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f42b94d3-be38-41e3-9aaf-75fea5f5af79 · outbound

This paper cites In: SIGIR 2024.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: SIGIR 2024

Reference 26

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Observation 4303ccef-db6e-4590-af0b-e2b3fea1ae17 · outbound

This paper cites Recurrent Neural Networks (RNNs): A gentle Introduction and Overview.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 27

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Observation f53600fa-8aab-49a4-8ddd-113b6b88029e · outbound

This paper cites Electric Power Systems Research200, 107453 (2021).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Electric Power Systems Research200, 107453 (2021)

Reference 28

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raw_fallback, observed 2026-08-15T20:50:34.923702Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f2aea187-4aae-4456-8f45-fd52671cc3e5 · outbound

This paper cites Journal of Petroleum Science and Engineering186, 106682 (2020).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Journal of Petroleum Science and Engineering186, 106682 (2020)

Reference 29

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raw_fallback, observed 2026-08-15T20:50:34.911649Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 583010d8-c5c8-4ea1-9d9f-9644d9374765 · outbound

This paper cites In: ICLR 2025 (2025).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: ICLR 2025 (2025)

Reference 30

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raw_fallback, observed 2026-08-15T20:50:34.900348Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.444644Z digest=sha256:5d9592f7f59db798efc5fae9247fc0bd2f6f60f3ce6d1ac60f9eabfbdb11ae9e

Observation 5410886c-8a54-4e33-8bee-d0ffaf7a91e0 · outbound

This paper cites SIGKDD Explor.26(2), 109–118 (Jan 2025).https://doi.org/10.1145/3715073.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions SIGKDD Explor.26(2), 109–118 (Jan 2025).https://doi.org/10.1145/3715073

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:34.447771Z digest=sha256:342ebf0158fec4525f942f0029f487b36e13315bcf8cfd85bf404026fea42ab6

Observation 54956235-4e5c-42c2-b70e-5577b4efd479 · outbound

This paper cites The American Statistician72(1), 37–45 (2018).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions The American Statistician72(1), 37–45 (2018)

Reference 32

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raw_fallback, observed 2026-08-15T20:50:34.889061Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.451057Z digest=sha256:035c11fba3ebfa6acb1f12eec3bdc06fec73ea07f0069d3b51d87726667555dd

Observation 0b2c51fe-8841-4752-8e71-f147558a363f · outbound

This paper cites China Communications17(3), 205–221 (2020).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions China Communications17(3), 205–221 (2020)

Reference 33

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raw_fallback, observed 2026-08-15T20:50:34.877564Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.454495Z digest=sha256:a71aaaef6e7950bbccbdffa79f8611af173966dca6ccb7bd6dba3678d8f586a9

Observation f4380229-31da-45b5-8972-79c878cbdec2 · outbound

This paper cites Applied Energy 381, 125176 (2025).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Applied Energy 381, 125176 (2025)

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:34.865296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.458100Z digest=sha256:9a17b0490bfb27c808d71a15e6a8d2a2242f111321bad4d81e8d70dc5c9d8c64

Observation 4b4dcfc9-b10c-49cf-a1c8-440b74f88afd · outbound

This paper cites MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:34.461282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:34.461282Z digest=sha256:feb93db59fce2b5e52bc3a7ee85f049f6cb229d1c989e47aca6ae9f26e47a270

Observation 8a13e9d0-f20e-480a-90e5-eb9be2d8bd00 · outbound

This paper cites In: IJCNN 2024.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: IJCNN 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:34.853646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.465325Z digest=sha256:048adba9aeaa5358efebc97dc8a958b8ba168af611c9a8f619c371605fd392b7

Observation 4160ac2f-6938-4fc0-b4e1-634a7f00a326 · outbound

This paper cites Catalysts15(3), 282 (2025).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Catalysts15(3), 282 (2025)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:34.841762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.469119Z digest=sha256:6fbc1711c2c1da1665c36659d0e1f81d534dad98f86273db088eaf6d231029e4

Observation 419d84c4-a796-4f09-b2db-dcac9ca656d0 · outbound

This paper cites In: ECAI 2024, pp.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: ECAI 2024, pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:34.829494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.472485Z digest=sha256:e27e2b688db927a7931559bab687ab5a331eecbcd41a9da489338900408c5a10

Observation 5e0708b9-341a-4c28-8b55-8642dd10f66e · outbound

This paper cites In: 2024 IEEE International Conference on Data Mining (ICDM).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions In: 2024 IEEE International Conference on Data Mining (ICDM)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:34.817573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:50:34.476161Z digest=sha256:a1ac53812de8a5501a46bab759220c48aba8c2882e5041cb5aebe3199c758f84

Observation c4dd4721-982c-4406-9f52-d1cf866c8394 · outbound

This paper cites Multimodal Situational Safety.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Multimodal Situational Safety

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:34.479443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:34.479443Z digest=sha256:a3186509f80293534add964e29847fd9031a7393a93d465110931a894e785b41

Observation c81daf5a-8bef-4a8c-966d-e8131ee06206 · outbound

This paper cites arXiv preprint arXiv:2503.03313 (2025).

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions arXiv preprint arXiv:2503.03313 (2025)

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:34.483309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:34.483309Z digest=sha256:8fab0eb41cd013b26486432ce571600cfa7dd58b302f3c07834056dc5283e322

Pith citing papers

No inbound Pith citation observations are available.