Paper Citation Record · LEDGER

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2412.00994.

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

pith.paper-citation-record.v1
2412.00994 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:40.747698Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:28:09.833012Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:28:11.387154Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy6
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60ee0fb3-f0ad-4b26-89e6-528148bd4b80 · outbound

This paper cites Missing Value Imputation on Multidimensional Time Series.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Missing Value Imputation on Multidimensional Time Series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:40.645496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77578a0d-baac-4a14-af7b-3061c50148c4 · outbound

This paper cites However, the presence of numerous high outliers in each office suggests episodic events where the CO 2 levels ex- ceed typical ranges.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN However, the presence of numerous high outliers in each office suggests episodic events where the CO 2 levels ex- ceed typical ranges

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:41.070045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f115c692-df18-44d3-a9cf-21131684d794 · outbound

This paper cites Nie, Y ., Nguyen, N.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Nie, Y ., Nguyen, N

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-12T04:51:40.690769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eaa492e-3680-4450-8c5c-cbb024653c64 · outbound

This paper cites an unresolved cited work.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:41.223007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 897761ae-3d31-4b32-9860-7799675ead1e · outbound

This paper cites an unresolved cited work.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:41.207636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd061074-72e6-44ed-99a6-d07f56591ca5 · outbound

This paper cites Approaches like BRITS (Cao et al.,.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Approaches like BRITS (Cao et al.,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:41.190988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b78aade-a44e-4e19-ab79-9416fb175749 · outbound

This paper cites an unresolved cited work.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:41.175891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f482768-2281-444b-985c-eeebcd4168f8 · outbound

This paper cites De- spite their novel approach, these models face challenges in computational efficiency and generalizability.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN De- spite their novel approach, these models face challenges in computational efficiency and generalizability

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:41.159345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f85c4633-3a0a-4d0d-95c6-dac5aed5800d · outbound

This paper cites an unresolved cited work.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:41.138108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cab2e286-eff0-495a-94a1-505081cc0cda · outbound

This paper cites Rather than processing temporal tokens, it operates on variate to- kens, enabling more effective modeling of multivariate cor- relations.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Rather than processing temporal tokens, it operates on variate to- kens, enabling more effective modeling of multivariate cor- relations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:41.122144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd2ad96c-a177-4e5b-9dd5-641184b33081 · outbound

This paper cites By simplifying the model to focus on linear relationships within the data, Dlinear astonishingly surpasses more complex models in performance.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN By simplifying the model to focus on linear relationships within the data, Dlinear astonishingly surpasses more complex models in performance

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:41.104327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a54678fe-5b4e-42c8-ae85-aa0c9e3d4ebf · outbound

This paper cites an unresolved cited work.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:41.087291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb822c54-bf28-43aa-aed2-7bf9db2b5e90 · outbound

This paper cites SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:40.668388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da8bf03-13e7-451e-9e1f-182cf0319619 · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:40.651864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab284cb-f437-48f9-b468-2a6edb338195 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:40.674417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233ec179-48c6-49f3-8998-ecd687962536 · outbound

This paper cites Langley, P.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Langley, P

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:40.662488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d07cc5dc-d66b-4df5-9948-ff54b2aa11cd · outbound

This paper cites ISBN 978- 981-15-5616-6.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN ISBN 978- 981-15-5616-6

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:51:41.253672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d6fbe33-90ed-48d9-81d1-3c2155e3efca · outbound

This paper cites Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T04:51:40.679955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875d8010-3e75-457f-a539-32578b5c3dcd · outbound

This paper cites an unresolved cited work.

PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:51:41.238216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 0307e44d-9d1e-47e4-80a1-a54129482642 · inbound

InsightBuild: LLM-Powered Causal Reasoning in Smart Building Systems cites this paper.

InsightBuild: LLM-Powered Causal Reasoning in Smart Building Systems PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:28:11.436847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.