Paper Citation Record · LEDGER

Physics-inspired Energy Transition Neural Network for Sequence Learning

As of 24 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.03281.

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

pith.paper-citation-record.v1
2505.03281 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:44.283863Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

37 of 37 outbound references displayed

verified exact1
verified fuzzy4
unresolved32
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3892dc4-8526-4fa2-be69-71a5f1bb7592 · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:45.137716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa622f3f-0291-4ffb-ae65-15199a1fc70d · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Physics-inspired Energy Transition Neural Network for Sequence Learning xLSTM: Extended Long Short-Term Memory

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.108837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8441b3e6-6a0c-4eb1-8a2f-f6ce43f3061f · outbound

This paper cites Learning long-term dependencies with gradient descent is difficult.

Physics-inspired Energy Transition Neural Network for Sequence Learning Learning long-term dependencies with gradient descent is difficult

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.114386Z

Source-reported events for the cited work

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Observation 7788c3f9-a6eb-41ae-b5f7-82bb86c3e629 · outbound

This paper cites Quasi-Recurrent Neural Networks.

Physics-inspired Energy Transition Neural Network for Sequence Learning Quasi-Recurrent Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.119511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955b7d4c-b110-413e-8750-29b47f4eb036 · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

Physics-inspired Energy Transition Neural Network for Sequence Learning TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.124259Z

Source-reported events for the cited work

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Observation 30e27d25-f594-4055-91d2-4fa76dfa848f · outbound

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

Physics-inspired Energy Transition Neural Network for Sequence Learning Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.128672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ea1cf7-0c74-41d0-86c6-63ec856d7432 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Physics-inspired Energy Transition Neural Network for Sequence Learning Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.133270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e55a9f-a52b-42a9-86e2-892ac09a93c7 · outbound

This paper cites T., Martin, R.

Physics-inspired Energy Transition Neural Network for Sequence Learning T., Martin, R

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:45.122039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 148172c6-3c5c-4e8a-ad20-0e7f09b68601 · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:45.102915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ffeb9dec-e24c-4de4-8681-86b42de83d4d · outbound

This paper cites S., Giampaolo, F., Rozza, G., Raissi, M., and Piccialli, F.

Physics-inspired Energy Transition Neural Network for Sequence Learning S., Giampaolo, F., Rozza, G., Raissi, M., and Piccialli, F

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.147892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8f5306-0f29-4873-b9bd-d52ed3a927f2 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Physics-inspired Energy Transition Neural Network for Sequence Learning The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.152381Z

Source-reported events for the cited work

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Observation 1a7a3457-cec0-44dd-b17a-555d3c2c951b · outbound

This paper cites Über einen die erzeugung und verwandlung des lichtes betreffenden heuristischen gesichtspunkt.

Physics-inspired Energy Transition Neural Network for Sequence Learning Über einen die erzeugung und verwandlung des lichtes betreffenden heuristischen gesichtspunkt

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.157630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b3edf5-b370-4e8d-a06b-49b04342230a · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:45.082405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2bc9bdb-7bdd-4388-86c1-6afc4f484e2c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Physics-inspired Energy Transition Neural Network for Sequence Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.166376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbedaf2a-ef70-41af-8070-eb0b0ea9fdb6 · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.171541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff46659e-ce9b-4a38-ba11-795cd78b375c · outbound

This paper cites and Schmidhuber, J.

Physics-inspired Energy Transition Neural Network for Sequence Learning and Schmidhuber, J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.175371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6aef917-9c33-4718-a6bd-39a9bddf33be · outbound

This paper cites and Athanasopoulos, G.

Physics-inspired Energy Transition Neural Network for Sequence Learning and Athanasopoulos, G

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:45.041172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de3d5a83-53c7-4edd-a03c-bf37fbae4a91 · outbound

This paper cites Energy transition from molecules to atoms and photons.

Physics-inspired Energy Transition Neural Network for Sequence Learning Energy transition from molecules to atoms and photons

Reference 18

Resolution: verified exact; doi, observed 2026-08-16T00:01:44.375099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ab8649b-0f8c-43ae-91f0-af064135d3eb · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

Physics-inspired Energy Transition Neural Network for Sequence Learning Convolutional Neural Networks for Sentence Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.188893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bfd0662-3853-4825-af32-45132ec5699e · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.193288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05b2b9ef-dbc6-49bc-a774-bd3d2723d97f · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks.

Physics-inspired Energy Transition Neural Network for Sequence Learning Modeling long-and short-term temporal patterns with deep neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:45.007464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8ea5cea-52db-4783-b79b-bef6334bad17 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Physics-inspired Energy Transition Neural Network for Sequence Learning KAN: Kolmogorov-Arnold Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.201537Z

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Observation f4b72848-1be1-4064-ae98-ad869b01fca8 · outbound

This paper cites The quantum theory of light.

Physics-inspired Energy Transition Neural Network for Sequence Learning The quantum theory of light

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:44.987101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ff7e5b3-6dde-4870-8ad7-5332f016a0c7 · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:44.967814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 564727f9-ec18-4e10-ab2b-5d8b368ef57f · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:44.947870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb305cbe-b789-499e-b941-edb81203f2e3 · outbound

This paper cites On gravity's role in quantum state reduction.

Physics-inspired Energy Transition Neural Network for Sequence Learning On gravity's role in quantum state reduction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.223192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6810865-f31b-4d55-8d34-b643541f6861 · outbound

This paper cites ElectricityLoadDiagrams20112014.

Physics-inspired Energy Transition Neural Network for Sequence Learning ElectricityLoadDiagrams20112014

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.229374Z

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Unavailable: canonical work link unavailable.

Observation 78248bc4-c965-4e27-9b14-a923c266a7e6 · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:44.930149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 198fbf6a-068e-406d-92e8-e33703f367f6 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Physics-inspired Energy Transition Neural Network for Sequence Learning N., Kaiser, ., and Polosukhin, I

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.240356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c82c4f-4bdc-4c32-a832-87ab9208c260 · outbound

This paper cites General properties of entropy.

Physics-inspired Energy Transition Neural Network for Sequence Learning General properties of entropy

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.247646Z

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Unavailable: canonical work link unavailable.

Observation f35fc1b3-9adf-4fa9-a576-e77c4769ce64 · outbound

This paper cites an unresolved cited work.

Physics-inspired Energy Transition Neural Network for Sequence Learning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:01:44.894889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7ec8b4c-051e-43a5-97ef-d2c914875330 · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Physics-inspired Energy Transition Neural Network for Sequence Learning ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.258445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3624c981-9657-4a61-88ee-349099991489 · outbound

This paper cites Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting.

Physics-inspired Energy Transition Neural Network for Sequence Learning Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.263797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe5c8b98-af31-4887-8a88-8aede2d6a349 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

Physics-inspired Energy Transition Neural Network for Sequence Learning Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.268170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 029f4a55-9e65-4ab5-a4e5-9dd8a1dd8224 · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

Physics-inspired Energy Transition Neural Network for Sequence Learning Are Transformers Effective for Time Series Forecasting?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.272945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be0211f-0455-496a-8cb2-424ce37950a2 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Physics-inspired Energy Transition Neural Network for Sequence Learning Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.278751Z

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Unavailable: canonical work link unavailable.

Observation b4679522-c70b-4cab-8bfb-fa9923f1a421 · outbound

This paper cites write newline.

Physics-inspired Energy Transition Neural Network for Sequence Learning write newline

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:44.283863Z

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Pith citing papers

No inbound Pith citation observations are available.