Paper Citation Record · LEDGER

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.07920.

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

pith.paper-citation-record.v1
2506.07920 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:06.139982Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

verified exact2
verified fuzzy12
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73451ac4-e726-4be3-b4bc-548344c5ad83 · outbound

This paper cites Transformers in Time Series: A Survey.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Transformers in Time Series: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:02.815557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cca748e-1438-410b-b262-b13366819bfb · outbound

This paper cites Cheung, Ahmed Imtiaz Hu- mayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, and Richard G.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Cheung, Ahmed Imtiaz Hu- mayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, and Richard G

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:10.626297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44146254-065d-487e-b936-4d676983e19f · outbound

This paper cites Machine learning advances for time series forecasting.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Machine learning advances for time series forecasting

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:10.426528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 159d277e-a623-4d34-a6ed-f80b97040761 · outbound

This paper cites Scinet: Time series modeling and forecasting with sample convolution and interaction.Advances in Neural Information Processing Systems , 35:5816–5828, 2022.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Scinet: Time series modeling and forecasting with sample convolution and interaction.Advances in Neural Information Processing Systems , 35:5816–5828, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:10.163628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b39d13e4-dfd0-43ec-9dd8-167e23237df8 · outbound

This paper cites Time series forecasting using a hybrid arima and neural network model.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Time series forecasting using a hybrid arima and neural network model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:09.889824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f63de68-2003-4aff-b604-1df42af538dd · outbound

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

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:03.484104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af28f762-865a-4859-b634-71276eabe8a3 · outbound

This paper cites Rethinking Full Connectivity in Recurrent Neural Networks.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Rethinking Full Connectivity in Recurrent Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:03.582703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ebe32c-60a1-43be-9841-b0298eb1ea7a · outbound

This paper cites On the difficulty of training recurrent neural networks.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling On the difficulty of training recurrent neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:03.681138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 816f41ae-81f4-4afa-80e4-e07d5eb2fa80 · outbound

This paper cites Understanding the effective receptive field in deep convolutional neural networks.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Understanding the effective receptive field in deep convolutional neural networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:03.803056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cca54a2-94bc-4663-bef2-a7beaf690fbd · outbound

This paper cites HiPPO: Recurrent memory with optimal polynomial projections.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling HiPPO: Recurrent memory with optimal polynomial projections

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:09.648736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64ef644c-66bd-4c8f-a344-c09027d069e1 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Efficiently modeling long sequences with structured state spaces

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:09.503346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62832694-603e-412f-8e77-374935423949 · outbound

This paper cites SaFARi: State-Space Models for Frame-Agnostic Representation.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling SaFARi: State-Space Models for Frame-Agnostic Representation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:29:06.843955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dcd02e5b-2b65-415a-981f-3d75eb23d113 · outbound

This paper cites WaLRUS: Wavelets for Long-range Representation Using SSMs.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling WaLRUS: Wavelets for Long-range Representation Using SSMs

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:29:06.590546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cce4ee04-6a7e-4af2-9f29-15d8108fcaf8 · outbound

This paper cites Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:04.477213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75095a5-4f35-4aad-96c6-9e5ca0c50602 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:09.339296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51f1b94e-dbf7-471c-b45e-ccad60cf1397 · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling On the parameterization and initialization of diagonal state space models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:09.193065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3070e2f-7df1-4deb-bc57-a698f5c316b0 · outbound

This paper cites How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:04.893078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d588022c-0c82-4f8f-aee9-d9d5af5499af · outbound

This paper cites Long Range Arena: A Benchmark for Efficient Transformers.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Long Range Arena: A Benchmark for Efficient Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:05.003723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffdc31d9-8281-40b8-9052-96be82be4acd · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:05.194785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2deaa9e8-e281-4199-94f2-a21cc1346d06 · outbound

This paper cites Learning multiple layers of features from tiny images.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Learning multiple layers of features from tiny images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:09.025267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5bbed68-73e9-43c2-8427-929f1f1783c2 · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:05.437094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e45eda-f36c-45dc-bd74-9394bad8ed0a · outbound

This paper cites Toward a robust estimation of respiratory rate from pulse oximeters.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Toward a robust estimation of respiratory rate from pulse oximeters

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:08.878461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c97ed6c-0b70-4c8c-9398-31e662bdc837 · outbound

This paper cites Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:08.631741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68b682ed-b026-47b5-81a9-f12133b5824f · outbound

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

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Modeling long-and short-term temporal patterns with deep neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:08.256677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edc643e7-aff3-4e59-8ee1-3a77ac48984c · outbound

This paper cites an unresolved cited work.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:29:07.867773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc137711-3df9-4cc8-ac59-baf1ba6607e8 · outbound

This paper cites an unresolved cited work.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:29:07.573189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5d7b7ff-5f33-43ae-a9bc-ce4a36bff11e · outbound

This paper cites an unresolved cited work.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:29:07.211662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.