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Paper Citation Record · LEDGER

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2412.12724.

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

pith.paper-citation-record.v1
2412.12724 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:54:05.523658Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:03.870146Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:36:04.102810Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14a0c75e-120d-42ac-8c52-76658c28fb74 · outbound

This paper cites an unresolved cited work.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:54:06.480862Z

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.

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Observation 88ff12d8-d972-402c-9291-cfdce8845e61 · outbound

This paper cites Recovering High Dynamic Range Radiance Maps from Photographs,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Recovering High Dynamic Range Radiance Maps from Photographs,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.460095Z

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.

source=pdf_text observed=2026-08-11T13:54:05.211743Z digest=sha256:f4c012dcb13ff6d4e877c8f92c4089e6db6f52aa15f1de98fcc75ddaef42c497

Observation 7bb90747-953e-456c-99a6-a513d739435e · outbound

This paper cites A wide dynamic-range cmos image sensor using self-reset technique,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling A wide dynamic-range cmos image sensor using self-reset technique,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.218176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.218176Z digest=sha256:736912b62891e29af4f314739bc83fede61b07398c8b7350fe670e016734da79

Observation dc36ea20-3fb2-406b-986d-90cbca3d7258 · outbound

This paper cites An implantable cmos image sensor with self-reset pixels for functional brain imaging,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling An implantable cmos image sensor with self-reset pixels for functional brain imaging,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.225224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.225224Z digest=sha256:8b229f0ad158fdc4a29981f66143f195c7aad36194a56429a0e694b7bef6fc3b

Observation 189d9af3-a835-4e16-9772-e8e7b3b6fc67 · outbound

This paper cites A vision sensor having an expanded dynamic range for autonomous vehicles,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling A vision sensor having an expanded dynamic range for autonomous vehicles,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.230993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.230993Z digest=sha256:6babb6fb100ba7c2a601823de1c25e67120d2d15acd4a886d6c75dac8ef3214f

Observation 3030a67a-3089-4ea5-b580-733a1050d5ee · outbound

This paper cites Peak-to-average power reduction for ofdm by repeated clipping and frequency domain filtering,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Peak-to-average power reduction for ofdm by repeated clipping and frequency domain filtering,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.405154Z

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.

source=pdf_text observed=2026-08-11T13:54:05.237502Z digest=sha256:9790d1c4fef3602674d1c23be77f540d2881f1d84edf4e25a1701a278f26296d

Observation e5a30a84-da03-4a49-bbc6-eed1b117fa66 · outbound

This paper cites An overview of peak-to-average power ratio reduction techniques for multicarrier transmission,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling An overview of peak-to-average power ratio reduction techniques for multicarrier transmission,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.384348Z

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.

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Observation 94d60c61-e51b-4a09-a3b0-e060def70e01 · outbound

This paper cites Restoration of clipped seismic waveforms using projection onto convex sets method,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Restoration of clipped seismic waveforms using projection onto convex sets method,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.361561Z

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.

source=pdf_text observed=2026-08-11T13:54:05.249200Z digest=sha256:aac7e8dcbbdc05a08f71faa50d465ce72d8714f59adce4c006d458ac2e6447a9

Observation 4abf68cb-1723-4b2d-93e3-330bfde47ef0 · outbound

This paper cites Restoring lost samples from an oversampled band-limited signal,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Restoring lost samples from an oversampled band-limited signal,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.339039Z

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.

source=pdf_text observed=2026-08-11T13:54:05.255792Z digest=sha256:58c1c151d4b8fd39b3d4be8c75805c11739b2f944a7017981f256c763c9f928d

Observation 1172794b-33b2-44a1-9946-9916540204ba · outbound

This paper cites Error of linear estimation of lost samples in an oversampled band-limited signal,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Error of linear estimation of lost samples in an oversampled band-limited signal,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.262250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.262250Z digest=sha256:b09684c6a767b91a035d1b8416a07ab6d806add134ed6428ed8df6bd37d9fda6

Observation 49806bf5-be9a-4176-b1a0-ecf1115f131e · outbound

This paper cites Clip correction in wireless lan receivers,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Clip correction in wireless lan receivers,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.286832Z

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.

source=pdf_text observed=2026-08-11T13:54:05.269283Z digest=sha256:2889d6aa42c9282c1efadf89d070b8e40d26fca64b8f24b97441379404ea151e

Observation 88cecd61-8668-4802-8438-7d418ee9eb22 · outbound

This paper cites Restoring a clipped signal,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Restoring a clipped signal,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.264478Z

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.

source=pdf_text observed=2026-08-11T13:54:05.276877Z digest=sha256:f89650451fe6baff8214b92ae418c5142dc423326beebb0445ad50f62edfd549

Observation d3efaecb-f5ec-4b55-b3eb-002391834625 · outbound

This paper cites an unresolved cited work.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.283102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.283102Z digest=sha256:6f24cf4248e0cd8c334edc92ca8567e79ded2b96dfd4965682dadc4c4f7513b4

Observation 53944f2d-de4f-44e0-8672-9b86070406ec · outbound

This paper cites A review of automatic gain control theory,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling A review of automatic gain control theory,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.234828Z

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.

source=pdf_text observed=2026-08-11T13:54:05.289833Z digest=sha256:44bb1f5de6799fefc53602c07d7d0936e0589188c88333bbc620c1827a4135aa

Observation d42919b5-7b61-4d30-9bd8-0cb19d34e102 · outbound

This paper cites On the recovery of a band-limited signal, after instanta- neous companding and subsequent band limiting,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling On the recovery of a band-limited signal, after instanta- neous companding and subsequent band limiting,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.213820Z

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.

source=pdf_text observed=2026-08-11T13:54:05.296897Z digest=sha256:7aff2d6a65fd0e3ddafb0d28dbc6d4edafde75419335dfd1fdd97605f3e034d5

Observation 888c45af-9e09-4970-a1d1-68d4fb60eb57 · outbound

This paper cites The recovery of distorted band-limited signals,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling The recovery of distorted band-limited signals,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.304261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.304261Z digest=sha256:79c30eeb44821ac62e5b7ab674d9102d9d695c68cd7f19e9a06c28cc17456255

Observation 0ea4102e-92a3-4467-b8e7-972f44e298dc · outbound

This paper cites An activity-triggered 95.3 db dr −75.6 db thd cmos imaging sensor with digital calibration,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling An activity-triggered 95.3 db dr −75.6 db thd cmos imaging sensor with digital calibration,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.181054Z

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.

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Observation 1fed2f22-2875-425c-92e9-dd1c310b3d3f · outbound

This paper cites Unlimited dynamic range analog-to-digital conversion,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unlimited dynamic range analog-to-digital conversion,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.160991Z

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.

source=pdf_text observed=2026-08-11T13:54:05.322347Z digest=sha256:7b5206f49aacd8bc57be45d6e42fbde61ac27b35c82b4bf9bb4f9b47f3156ebc

Observation 0e77a681-eb26-47d0-a9af-65bd38fd7eff · outbound

This paper cites On Unlimited Sampling and Reconstruction,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling On Unlimited Sampling and Reconstruction,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.143811Z

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.

source=pdf_text observed=2026-08-11T13:54:05.327882Z digest=sha256:4e22872d935b950cb240ae6940b63cc539e11c6b6717e09cb76bbe7fa0ab2ecd

Observation 583ef2e8-a65a-4999-b49c-edfd881e0b38 · outbound

This paper cites Above the Nyquist Rate, Modulo Folding Does Not Hurt,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Above the Nyquist Rate, Modulo Folding Does Not Hurt,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.334887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.334887Z digest=sha256:8560f22950d85d320be93db5b0bd8474755b69ac851993358ac10a91d8a68b98

Observation 8be63a5c-44b2-4661-ac55-e782579d6484 · outbound

This paper cites Residual Recovery Algorithm for Modulo Sampling,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Residual Recovery Algorithm for Modulo Sampling,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.109344Z

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.

source=pdf_text observed=2026-08-11T13:54:05.341734Z digest=sha256:76155ee0783dc9677fe5f24fb2a7a6969db81b3ea553ef4842c53af7b4543fbd

Observation c556139f-0b70-4947-9fc8-2e81a5813117 · outbound

This paper cites Unlimited sampling beyond mod- ulo,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unlimited sampling beyond mod- ulo,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.088360Z

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.

source=pdf_text observed=2026-08-11T13:54:05.347629Z digest=sha256:954df7af7f4f07c652223de3989cbf1e824f0fe21dc9779dbb41ab1d597b240c

Observation 204e0b68-6ddb-4799-915e-792a380cf809 · outbound

This paper cites λ–mimo: Massive mimo via modulo sampling,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling λ–mimo: Massive mimo via modulo sampling,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.042848Z

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.

source=pdf_text observed=2026-08-11T13:54:05.358211Z digest=sha256:a2ddef362f10af4ba4c29faa86d36e4ad937fc11b9c074a691b3868a44994619

Observation 56e5b7e9-37ee-4ecd-b01e-4c41253a38b5 · outbound

This paper cites Com- putational array signal processing via modulo non-linearities,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Com- putational array signal processing via modulo non-linearities,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.061463Z

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.

source=pdf_text observed=2026-08-11T13:54:05.363852Z digest=sha256:bd0f30e1ae8ee8f82dad0910730b5c473e40d5df7d0cbd52d5e4dda265ee2eb6

Observation 2e91620b-31c5-4c7f-a02d-304e282d85bf · outbound

This paper cites Uno: Unlimited sampling meets one-bit quantization,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Uno: Unlimited sampling meets one-bit quantization,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.025632Z

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.

source=pdf_text observed=2026-08-11T13:54:05.369415Z digest=sha256:979e2be146377908ae4bdb731624bd8dd22940b55861654739d9bd8997679451

Observation 5edb5274-821b-4cc0-b69b-8700f3cec065 · outbound

This paper cites Modulo sampling of FRI signals,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Modulo sampling of FRI signals,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:06.003698Z

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.

source=pdf_text observed=2026-08-11T13:54:05.375002Z digest=sha256:f1b3700e431920647e4971d8f1efd1c3bef429e0d641ca415b6e69fd393c91fe

Observation c0013a16-8823-4058-b407-b7b426705757 · outbound

This paper cites Generalized approximate message passing for unlimited sampling of sparse signals,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Generalized approximate message passing for unlimited sampling of sparse signals,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.981559Z

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.

source=pdf_text observed=2026-08-11T13:54:05.382536Z digest=sha256:7e9c041f0e4f9203950172094d5d2c141cc8baea741a3a7eec76b6ce382dc1e6

Observation 6adbf000-9f81-4f68-9cdb-5b54997c6f8d · outbound

This paper cites On the identifiability of sparse vectors from modulo compressed sensing measurements,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling On the identifiability of sparse vectors from modulo compressed sensing measurements,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.389247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.389247Z digest=sha256:f1e4ccb811e1775c41fd44aa1b9981dba4a6f2ab30132a493a578debf52fa06e

Observation bb99d7dd-6f62-45ea-adf6-a332ffbcca3d · outbound

This paper cites Sparse signal recovery from modulo observa- tions,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Sparse signal recovery from modulo observa- tions,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.949817Z

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.

source=pdf_text observed=2026-08-11T13:54:05.397229Z digest=sha256:910af7162dbc2b61ba7c2bf1f75bdbc8d9f114108aaf2a923f5c645471487f35

Observation e35f7228-1ced-4e89-ac92-42347ff33f73 · outbound

This paper cites Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.930544Z

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.

source=pdf_text observed=2026-08-11T13:54:05.405049Z digest=sha256:e18938e96653eca8991716d5122d9b8cea9fddfd83f94a72566cb5573aefa7e3

Observation 5cb05781-3f57-446f-a0c6-878a476de1f6 · outbound

This paper cites Unlimited dynamic range signal recovery for folded graph signals,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unlimited dynamic range signal recovery for folded graph signals,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.911012Z

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.

source=pdf_text observed=2026-08-11T13:54:05.411150Z digest=sha256:caa960a879d5bd843ecac088a6a6ea694ac400b19ce232f55ab9bed6bca5cf33

Observation 268c3cdc-6f60-44cd-a262-031053720464 · outbound

This paper cites Wavelet- based reconstruction for unlimited sampling,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Wavelet- based reconstruction for unlimited sampling,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.893112Z

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.

source=pdf_text observed=2026-08-11T13:54:05.417279Z digest=sha256:4d7eda033f199fca1df4d0b1dec6c6a8af83b9893444851f0a6e66daab164747

Observation 57cec81e-6828-427e-b408-0045cf5b84bd · outbound

This paper cites Modulo sampling and recovery in shift- invariant spaces,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Modulo sampling and recovery in shift- invariant spaces,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.873084Z

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.

source=pdf_text observed=2026-08-11T13:54:05.424794Z digest=sha256:54346ff210a9f6dc3781b9b1ac20c76a7bc4dea8a3c3b9e5d00df97e514676c5

Observation 6df64051-635c-4700-8375-06c06fa14286 · outbound

This paper cites Modulo sampling in shift-invariant spaces: Recovery and stability enhancement,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Modulo sampling in shift-invariant spaces: Recovery and stability enhancement,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.855278Z

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.

source=pdf_text observed=2026-08-11T13:54:05.432289Z digest=sha256:75c3c50c5f758ee7347f84c50e501bbaf563d744f6697c6b36eb4df6ed80b3f7

Observation 6b499c13-934f-41fc-911e-75f399ea5eda · outbound

This paper cites A hardware prototype of wideband high-dynamic range analog- to-digital converter,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling A hardware prototype of wideband high-dynamic range analog- to-digital converter,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.437679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.437679Z digest=sha256:bbcba08ea52d44321f9616734d9b99b4bc4be1c120010883081889e024043472

Observation a9bd2952-0d5f-4064-880e-437f0f1a6a3f · outbound

This paper cites Hardware demonstration of low-rate and high-dynamic range ADC,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Hardware demonstration of low-rate and high-dynamic range ADC,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.826247Z

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.

source=pdf_text observed=2026-08-11T13:54:05.443009Z digest=sha256:2223fdb6f4ebea86e61886a5c6915db4c2dcc182eb461b92217978c583e499de

Observation 165cf571-4506-43d2-bfbf-08aad3f3408f · outbound

This paper cites Practical modulo sampling: Mitigating high-frequency components,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Practical modulo sampling: Mitigating high-frequency components,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.452846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.452846Z digest=sha256:95f4dabdc1921956804ec28a63510a0c8a8abc7c4ebd021c182d7b1c319e0ca3

Observation 94333fde-a260-4412-b3e9-64363c152b1c · outbound

This paper cites Back in the us-sr: Unlimited sampling and sparse super- resolution with its hardware validation,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Back in the us-sr: Unlimited sampling and sparse super- resolution with its hardware validation,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T13:54:05.458537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:05.458537Z digest=sha256:b699721b4326e6c02aaaf5efb98363077f034b7956c912c565014c0809fc2dcd

Observation 54b65c89-3817-4c91-858b-b06192f0ef31 · outbound

This paper cites Modulo sampling with 1-bit side information: Performance guarantees in the presence of quantization,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Modulo sampling with 1-bit side information: Performance guarantees in the presence of quantization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.773273Z

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.

source=pdf_text observed=2026-08-11T13:54:05.463805Z digest=sha256:5ab31be6aee16656f10e20089a98b715507be219aa2012d71a141107ee71a6c2

Observation 036ed946-e6a5-4139-859e-c79c336b9b40 · outbound

This paper cites an unresolved cited work.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:54:05.755244Z

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.

source=pdf_text observed=2026-08-11T13:54:05.469217Z digest=sha256:c6247cbc986685b2108bb96360b84d208ba93d6de9b4217ceab64538c4ce51b6

Observation a9c46b69-e52a-4140-9105-4b0fc11e1da3 · outbound

This paper cites an unresolved cited work.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:54:05.738219Z

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.

source=pdf_text observed=2026-08-11T13:54:05.477587Z digest=sha256:b9b2c76196453c41969a9c2037356cee17f1c1d4fbd50e2bdb8d4bd5afa2c55a

Observation 7de12cb1-1559-40f5-835b-2c33c08bff29 · outbound

This paper cites Proximal algorithms,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Proximal algorithms,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.720019Z

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.

source=pdf_text observed=2026-08-11T13:54:05.483994Z digest=sha256:49d608d21ea76d8aa70a518582b4695094b8bd781292c72b840ea806cd9ac08e

Observation 85daca06-4f66-439d-99a0-99bb052f3985 · outbound

This paper cites Compressed sensing with coherent and redundant dictionaries,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Compressed sensing with coherent and redundant dictionaries,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.699887Z

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.

source=pdf_text observed=2026-08-11T13:54:05.490087Z digest=sha256:705c09c5793bdefbe55b0f39af73b00dec574a0f65ed23fbc2d688376232ae1f

Observation d318a7e4-c50f-41fe-b5e9-62df0956533c · outbound

This paper cites Stable signal recovery from incomplete and inaccurate measurements,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Stable signal recovery from incomplete and inaccurate measurements,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.678924Z

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.

source=pdf_text observed=2026-08-11T13:54:05.497602Z digest=sha256:4c1648d945437ccbe5b3d9087855ebddda281e0549aa6821d6021ac4cf1e9a7d

Observation 10557e85-4b75-437d-a760-478a1d045ba6 · outbound

This paper cites Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.655991Z

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.

source=pdf_text observed=2026-08-11T13:54:05.503375Z digest=sha256:559c3b4a7b5dfed183c8048458ecd6660918e88c6bad8e5e20c65fcb0b6b29b9

Observation 3eb8db63-7cee-46de-b123-7afb44c7acfe · outbound

This paper cites Spark-level sparsity and the l1 tail minimization,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Spark-level sparsity and the l1 tail minimization,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.633838Z

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.

source=pdf_text observed=2026-08-11T13:54:05.511684Z digest=sha256:86028a16ac82cd0a576770bc0c8f834c8700c6c8e7df4a7fcc9a3d04a69b5a00

Observation ee2c071d-6cd4-456a-adaa-dc357822807d · outbound

This paper cites Tail-fista and applications,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Tail-fista and applications,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.608261Z

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.

source=pdf_text observed=2026-08-11T13:54:05.517916Z digest=sha256:2806787991313ccbf0d8ad6473b65f57475f4d97112154cbb2a63a417f10c2a0

Observation 9103738a-9c81-4ea5-bfe4-fc298e05518f · outbound

This paper cites Recursive-Tail-Fista for Sparse Signal Recovery,.

Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling Recursive-Tail-Fista for Sparse Signal Recovery,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:54:05.580238Z

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.

source=pdf_text observed=2026-08-11T13:54:05.523658Z digest=sha256:4ab2ec2893942aed4d596c39fe29280c46d119bf919037c5ec5b60f10b4ec332

Pith citing papers

Observation ce73c91f-fb55-45ba-b9b7-6c77546b5cd1 · inbound

Modulo Sampling: Performance Guarantees in The Presence of Quantization cites this paper.

Modulo Sampling: Performance Guarantees in The Presence of Quantization Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:36:04.109319Z

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.

source=pdf_text observed=2026-08-10T22:36:03.870146Z digest=sha256:9fda7846cf084547bdffb64ef980e494632151ad5cdc0acb5cbd3d11d0fa32d6