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Paper Citation Record · LEDGER

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.22303.

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

pith.paper-citation-record.v1
2507.22303 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:59:17.633797Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9569fbd8-fe43-4343-9a0b-4c07d956bfd7 · outbound

This paper cites Sensing with shallow recurrent decoder networks.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Sensing with shallow recurrent decoder networks

Reference 1

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Source-reported events for the cited work

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Observation 5ffeadd2-762b-446c-a187-ca8dbf0f93c3 · outbound

This paper cites Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction.IEEE Access, 2024.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction.IEEE Access, 2024

Reference 2

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Source-reported events for the cited work

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Observation 131f667f-56aa-4d48-9222-b89934c5ad22 · outbound

This paper cites Reduced Order Modeling with Shallow Recurrent Decoder Networks.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Reduced Order Modeling with Shallow Recurrent Decoder Networks

Reference 3

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Observation 5d8ea2a0-54b8-48a2-ba24-06e3a72bee70 · outbound

This paper cites Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks

Reference 4

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Source-reported events for the cited work

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Observation 4c5c5412-5a98-4902-80ab-fb92fa1aae97 · outbound

This paper cites Robust State Estimation from Partial Out-Core Measurements with Shallow Recurrent Decoder for Nuclear Reactors.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Robust State Estimation from Partial Out-Core Measurements with Shallow Recurrent Decoder for Nuclear Reactors

Reference 5

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verified exact
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Source-reported events for the cited work

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Observation a1920449-ced2-44f2-9bb9-f2b5b8bc8a4d · outbound

This paper cites Simply denoise: Wavefield reconstruction via jittered under- sampling.Geophysics, 73(3):V19–V28, 2008.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Simply denoise: Wavefield reconstruction via jittered under- sampling.Geophysics, 73(3):V19–V28, 2008

Reference 6

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Source-reported events for the cited work

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Observation 04167cfe-1890-4539-9729-e7a1e35afe7d · outbound

This paper cites an unresolved cited work.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3289c654-681e-47d6-8ce3-e6e267a5d342 · outbound

This paper cites Recovering from missing data in population imaging—cardiac mr image imputation via conditional generative adversarial nets.Medical Image Analysis, 67:101812, 2021.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Recovering from missing data in population imaging—cardiac mr image imputation via conditional generative adversarial nets.Medical Image Analysis, 67:101812, 2021

Reference 8

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Observation 1f18a94f-4de1-4083-b4e5-6a45090c3e86 · outbound

This paper cites Optimization-inspired compact deep compressive sensing.IEEE Journal of Selected Topics in Signal Processing, 14(4):765–774, 2020.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Optimization-inspired compact deep compressive sensing.IEEE Journal of Selected Topics in Signal Processing, 14(4):765–774, 2020

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 72adf823-2604-403b-8182-2bdb1d6aa872 · outbound

This paper cites Comparison of common algorithms for single-pixel imaging via compressed sensing.Sensors, 23(10):4678, 2023.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Comparison of common algorithms for single-pixel imaging via compressed sensing.Sensors, 23(10):4678, 2023

Reference 10

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Observation 52c8d8cf-4338-4226-9e86-0d928a4325f3 · outbound

This paper cites Determining the number of measurements for compressive sensing of traffic-induced vibration data.Measurement, 152:107259, 2020.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Determining the number of measurements for compressive sensing of traffic-induced vibration data.Measurement, 152:107259, 2020

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1d3cc80d-de9b-4400-a71b-a65ee5674901 · outbound

This paper cites Convo- lutional lstm network: A machine learning approach for precipitation nowcasting.Advances in Neural Information Processing Systems, pages 802–810, 2015.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Convo- lutional lstm network: A machine learning approach for precipitation nowcasting.Advances in Neural Information Processing Systems, pages 802–810, 2015

Reference 12

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Source-reported events for the cited work

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Observation cb199e25-225c-4c93-837e-acbd9b763dc6 · outbound

This paper cites Robust spatial–temporal imputation based on spatio-temporal generative adversarial nets.Knowledge-Based Systems, 279:110919, 2023.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Robust spatial–temporal imputation based on spatio-temporal generative adversarial nets.Knowledge-Based Systems, 279:110919, 2023

Reference 13

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Observation 39833d16-1934-4838-8cfe-0bf4f8922b7d · outbound

This paper cites A survey on deep transfer learning.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics A survey on deep transfer learning

Reference 14

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Observation 1b38c9d1-0ee0-49b2-8bb1-005260ee7cfb · outbound

This paper cites an unresolved cited work.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Unresolved cited work

Reference 15

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Observation d1172c0e-1a50-48f7-a21b-6c1ebe329e7c · outbound

This paper cites A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a73edfb2-24f2-4861-ba65-2312eaa2eaf7 · outbound

This paper cites Reviewing autoencoders for missing data imputation: Technical trends, applications and outcomes.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Reviewing autoencoders for missing data imputation: Technical trends, applications and outcomes

Reference 17

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Source-reported events for the cited work

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Observation 80d3ff2d-3154-4db9-a3b9-eea4d048f0eb · outbound

This paper cites Saits: Self-attention-based imputation for time series.Expert Systems with Applications, 219:119619, 2023.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Saits: Self-attention-based imputation for time series.Expert Systems with Applications, 219:119619, 2023

Reference 18

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Unavailable: canonical work link unavailable.

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Observation dc12a592-762a-4d77-a1f8-aedf8537247b · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30:5998–6008, 2017.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Attention is all you need.Advances in Neural Information Processing Systems, 30:5998–6008, 2017

Reference 19

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Observation 20b6ac03-d4c8-4998-9e8b-b55efe108e54 · outbound

This paper cites Basis pursuit.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Basis pursuit

Reference 20

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Observation ee48840a-5ab7-4a47-8339-3c64c8e88367 · outbound

This paper cites Friedlander.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Friedlander

Reference 21

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Observation cd812a65-c824-4481-aeab-fc36e277b91b · outbound

This paper cites Pylops—a linear-operator python library for scalable algebra and optimization.SoftwareX, 11:100361, 2020.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Pylops—a linear-operator python library for scalable algebra and optimization.SoftwareX, 11:100361, 2020

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aec41d05-298b-4a63-8873-27d0ca167d3c · outbound

This paper cites Decoupled Weight Decay Regularization.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Decoupled Weight Decay Regularization

Reference 23

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Unavailable: canonical work link unavailable.

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Observation df8bd7cf-28bc-4d60-8383-28f41fb2e6de · outbound

This paper cites TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows

Reference 24

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Unavailable: canonical work link unavailable.

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Observation cc6fa6d8-1c3a-4c91-b52d-07d0dc4180db · outbound

This paper cites Oishi andet al.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Oishi andet al

Reference 25

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Observation 52fc8072-5baf-466d-8c9e-2148ede3536a · outbound

This paper cites Hart and Kevin Martinez.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Hart and Kevin Martinez

Reference 26

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a3098ebb-a67c-435c-b2ef-050e7895115a · outbound

This paper cites Trenberth.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Trenberth

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 469960ec-c615-4714-a2a8-ec6ffcc1f8db · outbound

This paper cites Quality control of ocean temperature and salinity profiles—historical and real-time data.Journal of Marine Systems, 69(1-2):1–4, 2008.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Quality control of ocean temperature and salinity profiles—historical and real-time data.Journal of Marine Systems, 69(1-2):1–4, 2008

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 340079d6-7378-4811-b4cc-c6da0426c8c4 · outbound

This paper cites an unresolved cited work.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 815d96cd-3e5c-42f8-995c-aca6b61a93b3 · outbound

This paper cites Candès and Michael B.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Candès and Michael B

Reference 30

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raw_fallback, observed 2026-08-06T11:59:18.121483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 38628d1b-00c2-4ffa-a047-73a08b45c589 · outbound

This paper cites an unresolved cited work.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 33b5f527-167d-4d13-a125-f6f4eb5953f0 · outbound

This paper cites Alexakis and L.

CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics Alexakis and L

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T11:59:18.074170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.