Paper Citation Record · LEDGER

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.20782.

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

pith.paper-citation-record.v1
2506.20782 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:45:53.256745Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy24
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 799ff4ca-76ef-4371-8602-7981eac45165 · outbound

This paper cites Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:58.275672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d082aca7-1eb9-4e80-8b79-ea14334f300a · outbound

This paper cites Heterogeneous recurrent spiking neural network for spatio-temporal classification,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Heterogeneous recurrent spiking neural network for spatio-temporal classification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:58.085829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec104a85-bbae-47e3-b478-831bd3d270fe · outbound

This paper cites Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:57.874317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0493e548-89ce-42df-bd05-e6d28a2488f9 · outbound

This paper cites Improved phase unwrapping method based on unscented Kalman filter and D-LinkNet,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Improved phase unwrapping method based on unscented Kalman filter and D-LinkNet,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:57.745071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0d940a2-27fd-43de-abb0-01b33ac26bcc · outbound

This paper cites A novel phase unwrapping method based on network programming,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing A novel phase unwrapping method based on network programming,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:57.569558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2fcda37a-006f-4e79-be74-f3e4a025ac8b · outbound

This paper cites Backpropagation-based learning tech- niques for deep spiking neural networks: A survey,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Backpropagation-based learning tech- niques for deep spiking neural networks: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:57.420273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5c007d3-8c8c-4bb5-b857-be73daaca0ff · outbound

This paper cites Advancing neuromorphic computing with Loihi: A survey of results and outlook,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Advancing neuromorphic computing with Loihi: A survey of results and outlook,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:57.310516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3493e500-29e8-4126-8eb5-ffd196b4eb32 · outbound

This paper cites an unresolved cited work.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:45:57.178561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a96f23b-d945-4b83-95d7-40cb9c31cd5b · outbound

This paper cites Satellite radar interferometry: Two-dimensional phase un- wrapping,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Satellite radar interferometry: Two-dimensional phase un- wrapping,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:57.029601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24d92bc6-317e-45e2-82d4-ae4e4defb65d · outbound

This paper cites SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:51.644951Z

Source-reported events for the cited work

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Observation 32116e4b-fe17-4d2e-9e63-6ea2cef7a7bb · outbound

This paper cites An introduction to neuromorphic computing and its potential impact for unattended ground sensors,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing An introduction to neuromorphic computing and its potential impact for unattended ground sensors,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.875954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e17c88f5-821c-4c75-ab4f-9d6d6de82edb · outbound

This paper cites Directly training temporal spiking neural network with sparse surrogate gradient,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Directly training temporal spiking neural network with sparse surrogate gradient,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.718584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07c3be2f-64d2-4dcb-8419-81ccf3fccd8f · outbound

This paper cites Spike-based signal processing with temporal coding in spiking neural networks,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Spike-based signal processing with temporal coding in spiking neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.539697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 020346e6-8d3b-47c4-a18a-66e1a273a5c9 · outbound

This paper cites Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:45:53.534719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5dc62a8-a1bb-460b-b921-38f1739552cd · outbound

This paper cites Networks of spiking neurons: The third generation of neural network models,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Networks of spiking neurons: The third generation of neural network models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:52.114312Z

Source-reported events for the cited work

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Observation 9eeb822f-4195-48c1-acaa-83d5ba90328e · outbound

This paper cites Roadmap to neuromorphic computing with emerging technologies,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Roadmap to neuromorphic computing with emerging technologies,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.347109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5db5dc0b-0e18-47c5-bd4a-0b07fd2911f6 · outbound

This paper cites Compressed SAR interferometry in the big data era,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Compressed SAR interferometry in the big data era,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.162999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9901952-3bb1-4195-9051-63c92f0c7bd3 · outbound

This paper cites A long short-term memory for AI applications in spike-based neuro- morphic hardware,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing A long short-term memory for AI applications in spike-based neuro- morphic hardware,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.999583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d776bfb-0368-48ba-be37-11b40f05e042 · outbound

This paper cites The NASA-ISRO SAR (NISAR) mission dual-band radar instrument,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing The NASA-ISRO SAR (NISAR) mission dual-band radar instrument,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.790890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6de97fdb-ea95-42e4-9e67-1c8c14dee004 · outbound

This paper cites Phase unwrapping techniques for SAR interferometry: A comprehensive review,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Phase unwrapping techniques for SAR interferometry: A comprehensive review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.648698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b2ebe18-3099-4271-a549-8f6d2b1557fc · outbound

This paper cites Environmental burden of United States data centers in the artificial intelligence era,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Environmental burden of United States data centers in the artificial intelligence era,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.476250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a22b5628-7c37-4c62-b020-82ab97308356 · outbound

This paper cites PhaseNet 2.0: Phase unwrapping of noisy data based on deep learning approach,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing PhaseNet 2.0: Phase unwrapping of noisy data based on deep learning approach,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.329094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3071c82-3771-4e60-b58a-9003234a5156 · outbound

This paper cites Deep learning spatial phase unwrapping: A comparative review,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Deep learning spatial phase unwrapping: A comparative review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.081151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e943c1c0-ea5e-4771-b66e-6ab922598873 · outbound

This paper cites DENet: A deep neural network architecture for InSAR phase unwrapping,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing DENet: A deep neural network architecture for InSAR phase unwrapping,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.770687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 510fe953-b345-4eb8-9649-360bfac6cba7 · outbound

This paper cites Spiking neural networks: A survey,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Spiking neural networks: A survey,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.507369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 027cf11a-15f0-4651-bd64-7e9f3bec2fc5 · outbound

This paper cites SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:52.920503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3514a5f1-8748-4a03-912f-03d9f7b401ad · outbound

This paper cites Artificial intelligence in interferometric synthetic aperture radar phase unwrapping: A review,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Artificial intelligence in interferometric synthetic aperture radar phase unwrapping: A review,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.241211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32c8ecf9-5959-4f95-8ddb-1c737cb651d3 · outbound

This paper cites Direct training high-performance deep spiking neural networks: A review of theories and methods,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Direct training high-performance deep spiking neural networks: A review of theories and methods,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.036718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 098bfa3f-b04d-4b45-affd-786799da2b00 · outbound

This paper cites Unwrap-Net: A deep neural network-based InSAR phase unwrapping method assisted by airborne LiDAR data,.

Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing Unwrap-Net: A deep neural network-based InSAR phase unwrapping method assisted by airborne LiDAR data,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:53.798945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.