Pith. sign in

Paper Citation Record · LEDGER

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1908.00460.

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

pith.paper-citation-record.v1
1908.00460 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:58:13.398434Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76e75db8-3ec8-4b08-b508-e96ad51bdee4 · outbound

This paper cites Channel polarization: A method for constructing capacity- achieving codes for symmetric binary-input memoryless channels,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Channel polarization: A method for constructing capacity- achieving codes for symmetric binary-input memoryless channels,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.873856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.263101Z digest=sha256:34c48253da9bf006ac6e12c357e03ca323079d9b5ef7a4e65b0a5a4d84db9808

Observation bc4ce074-71ef-4ecd-8dbc-1adb0ba1e536 · outbound

This paper cites List decoding of polar codes,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes List decoding of polar codes,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.849785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.269643Z digest=sha256:0987864a9a77649c3b4f69f85ca2864791933cf32c0a4ff484d5472123863704

Observation f084aef3-1edd-4717-947f-21053f30b940 · outbound

This paper cites List successive cancellation decoding of polar codes,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes List successive cancellation decoding of polar codes,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.828265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.275260Z digest=sha256:734c9e9a8fd14cbba77c21c9036633d601debdcfa9c109710907368797840507

Observation dc61b8a6-276a-4295-88b3-506f90325c6d · outbound

This paper cites Stack decoding of polar codes,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Stack decoding of polar codes,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.808656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.281265Z digest=sha256:0f1696f8ff7815c9ad9a7d851bb07b44b7f2f41d0a153659d5d75100d34cc9e0

Observation 99d9089a-24f4-4a68-9d7e-4ce5714d0845 · outbound

This paper cites Crc-aided decoding of polar codes,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Crc-aided decoding of polar codes,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.788381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.286575Z digest=sha256:9db03682f67768451f0b78310fd7353002a814f213ce389f34bc7763595ede44

Observation 94951ee0-d48f-4acd-9443-3f55e870f320 · outbound

This paper cites Deep residual learning for image recognition,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Deep residual learning for image recognition,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.292524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.292524Z digest=sha256:c09c10641ad78ce99cdc7ec8a2c445d23855d2adccc28eaea9092b8bef58c58c

Observation 0207948e-993b-4483-8a36-67946fddbaaf · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Sequence to Sequence Learning with Neural Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.298476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.298476Z digest=sha256:c13592a0ed87aec8609ebd3034e550fd467d9f57efaf34cd71f328849f4976ea

Observation 7ee157ec-6fe5-4828-ade0-8d6accf9f997 · outbound

This paper cites Deepdriving: Learning affordance for direct perception in autonomous driving,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Deepdriving: Learning affordance for direct perception in autonomous driving,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.754060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.303849Z digest=sha256:7b1d486216ee07f8fbb776e6467ac1e84624735060fb9e16433b050b98496952

Observation 35da011b-c3da-481f-8a4c-e32c62367137 · outbound

This paper cites Automatic differentiation in PyTorch,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Automatic differentiation in PyTorch,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.309663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.309663Z digest=sha256:b878b87311dbef420a0eefc5203e5f555bebf98dbe0cd6aa0ca885be6681d7f3

Observation 689b6706-593f-4c67-b822-cab62050c95a · outbound

This paper cites On deep learning- based channel decoding,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes On deep learning- based channel decoding,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.715815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.315317Z digest=sha256:4debed351ddd586b6f0376c6ea7693bd47e4cabc4fcd79ecf439331627a1678b

Observation 7f5f6f34-039c-442e-a8f3-38a70674ef59 · outbound

This paper cites Decoding of polar code by using deep feed-forward neural networks,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Decoding of polar code by using deep feed-forward neural networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.698548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.320636Z digest=sha256:f9d35722094430169cd6dad15c06774731388c5e8ab708f20faa8bc221676741

Observation 2221d6c6-fb0c-4b70-a603-49e73c45eba5 · outbound

This paper cites Activation functions of deep neural networks for polar decoding applications,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Activation functions of deep neural networks for polar decoding applications,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.678170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.325445Z digest=sha256:c471d711866e3175ca6a0e5b8fbee45341f71bc5026d9ecc4e93e4bd2c595d75

Observation 95e0da22-eee5-4300-9725-2ad2957fc9e6 · outbound

This paper cites Deep learning for polar codes over flat fading channels,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Deep learning for polar codes over flat fading channels,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.659407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.332080Z digest=sha256:6e0cc9ce9e44400a2a3dc49834cbff6fa50f058d8ed911496a1746be34e94825

Observation 92a4bff0-6b0e-4b13-81f4-f67cb5268a45 · outbound

This paper cites Performance evaluation of channel decoding with deep neural networks,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Performance evaluation of channel decoding with deep neural networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.638047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.337546Z digest=sha256:7e325f5aa64697ac8e3478ad98ef70cbc30247964c176e7a422975a7114343d9

Observation e49ba2b9-c956-4408-bd64-6f744837b7b3 · outbound

This paper cites A unified deep learning based polar-ldpc decoder for 5g communication systems,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes A unified deep learning based polar-ldpc decoder for 5g communication systems,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.616407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.344623Z digest=sha256:fd34aa42599fce3ad4ade1fb4a0b3a8033030149d82ebcc542dba2e3c09334f5

Observation 2b7fb5e5-b325-445f-89ff-61c7e514291e · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.595258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.350391Z digest=sha256:2c51d43702a686cbcee6feed187c44da9478e05e56756526a7b6863d5a5deb05

Observation 75bef3d2-d84e-4b0b-9dc2-bf46c563449a · outbound

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

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes On the difficulty of training recurrent neural networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.575320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.355875Z digest=sha256:fc389a1d77be33d5d74ff6c95f3699a74c2597b2669402d8f0e9493f31ed9db7

Observation 4eaceea3-0f89-4980-bf40-c5fcd7e4c33d · outbound

This paper cites Long short-term memory,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Long short-term memory,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.555906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.361734Z digest=sha256:384026b2df00468e1344b4d7b3851a38002fef7ea0f6b554ef99f355e750585b

Observation 6727fe66-6435-493d-8447-f8352c64f9c5 · outbound

This paper cites Gated feedback recurrent neural networks,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Gated feedback recurrent neural networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.538725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.367701Z digest=sha256:dab730051524c3df982271b0247e4fc20354cb8e2f00c7aa6d97d54222dbe3b3

Observation fb6df5b2-74f6-4974-bf09-d94c8454881f · outbound

This paper cites Deep residual learning for image recognition,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Deep residual learning for image recognition,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.374273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.374273Z digest=sha256:299d2af59f8c893488d20ce5c4ea58b7fb86100a0f3d66c703dbc555a8167637

Observation a4e95cb2-2764-4211-8f51-a12cd1aad77d · outbound

This paper cites Large-scale machine learning with stochastic gradient de- scent,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Large-scale machine learning with stochastic gradient de- scent,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.381500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.381500Z digest=sha256:8f178e6f1a269ca7e07b919476f2c5e319f6ebad591d0b8e36362502544760e9

Observation 6b0df697-2d1f-45f6-854b-c82a26c3e9f0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes Adam: A Method for Stochastic Optimization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.387211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.387211Z digest=sha256:6b8a73190abb5e8dd659528da79ac171962bcfa7cced453688490b1e55210927

Observation 7166d5c2-4dae-4fb8-b73b-a3c8a2ffb3b0 · outbound

This paper cites An artificial neural net viterbi decoder,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes An artificial neural net viterbi decoder,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:58:13.494348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:58:13.393550Z digest=sha256:46a4c7e434131ab36a06b139ca84727513360de2b1e8a033e51afef29a5ea1fe

Observation 18dfff19-8cfa-4532-8b24-1b83e22e2b03 · outbound

This paper cites A theoretical analysis of feature pooling in visual recognition,.

Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes A theoretical analysis of feature pooling in visual recognition,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T15:58:13.398434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:58:13.398434Z digest=sha256:e86bca115691ce72b3172064e20feeacaf57e2bd2f8d53b1a97deaad6a5650c3

Pith citing papers

No inbound Pith citation observations are available.