Paper Citation Record · LEDGER

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.14951.

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

pith.paper-citation-record.v1
2507.14951 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:43.995489Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy29
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44dbb24b-26ff-4598-b0a7-88e691a3c35f · outbound

This paper cites On the road to 6G: Visions, requirements, key tech- nologies and testbeds,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime On the road to 6G: Visions, requirements, key tech- nologies and testbeds,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:51.630613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c81a46a8-ca76-494f-8a64-d7c002e1c4d5 · outbound

This paper cites Disentangled representation learning empowered CSI feedback using implicit channel reciprocity in FDD massive MIMO,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Disentangled representation learning empowered CSI feedback using implicit channel reciprocity in FDD massive MIMO,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:51.404763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c371be1-d6f0-4086-9596-ec8953289057 · outbound

This paper cites A mathematical theory of communication,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime A mathematical theory of communication,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:51.220718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2517e41c-0ae9-4d8d-a35c-8b9ae99fcd42 · outbound

This paper cites Channel coding: The road to channel capacity,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Channel coding: The road to channel capacity,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:51.007460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83d1240d-dc0c-47fb-82e4-37540dc8c35f · outbound

This paper cites Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:50.747695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5beb9ec-6914-4feb-a951-fc5f5402681b · outbound

This paper cites Near shannon limit error- correcting coding and decoding: Turbo-codes,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Near shannon limit error- correcting coding and decoding: Turbo-codes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:50.453746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 417a4c12-53e2-4250-8b3f-e46ef2af171a · outbound

This paper cites Low-density parity-check codes,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Low-density parity-check codes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:50.174517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27edba0e-901c-455e-8c82-5e5494ea12cb · outbound

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

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Channel polarization: A method for constructing capacity achieving codes for symmetric binary-input memoryless channels,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:49.934864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 59e70d8f-094c-453d-acd5-6a926aa5a17d · outbound

This paper cites On the rate of channel polarization,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime On the rate of channel polarization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:49.710306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b269cde8-1b1c-4fb8-b4e9-0cbb46b355d4 · outbound

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

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime CRC-aided decoding of polar codes,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:40.888118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4927e88e-8b0e-4781-9d2b-21315138631a · outbound

This paper cites 6G: A welcome chance to unify channel coding?.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime 6G: A welcome chance to unify channel coding?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:49.508092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bff9cfce-71e7-4041-94eb-7c38deeb22c9 · outbound

This paper cites Channel coding for 6G extreme connectivity requirements, capabilities and fundamental tradeoffs,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Channel coding for 6G extreme connectivity requirements, capabilities and fundamental tradeoffs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:49.218545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4eb7a457-c1dc-4d58-805e-9d6364548734 · outbound

This paper cites Recent advances in deep learning for channel coding: A survey,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Recent advances in deep learning for channel coding: A survey,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:48.990987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7c8b2fd-e4e7-48db-bfd1-47aac28f4053 · outbound

This paper cites Multilayer feedforward networks are universal approximators,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Multilayer feedforward networks are universal approximators,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:48.704664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5321fa0a-eb7d-419c-81f9-b04c51f04082 · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime In-datacenter performance analysis of a tensor processing unit,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:48.463366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c35eaf45-c57e-4f29-9227-86d19b9de0b6 · outbound

This paper cites Comparing energy efficiency of CPU, GPU and FPGA implementations for vision kernels,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Comparing energy efficiency of CPU, GPU and FPGA implementations for vision kernels,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:48.232585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98ee87ea-47ea-4646-b8f5-502e9ecf7850 · outbound

This paper cites List decoding of polar codes,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime List decoding of polar codes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:47.989884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1cc61b9-cf82-4fc4-ac15-b4daa0bf003b · outbound

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

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime List successive cancellation decoding of polar codes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:47.719796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e73b354-a587-4edc-85e2-62a251e24a3e · outbound

This paper cites Stack decoding of polar codes,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Stack decoding of polar codes,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:47.523296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d03bb40c-e2ff-4b26-aede-dcd126377655 · outbound

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

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime On deep learning- based channel decoding,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:47.233310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 756b8505-88ca-4a12-b0ff-10f07987bb8c · outbound

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

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Performance evaluation of channel decoding with deep neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:46.945140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3c58108-7c57-487b-b512-b30322021f45 · outbound

This paper cites Performance analysis of deep learning based on recurrent neural networks for channel coding,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Performance analysis of deep learning based on recurrent neural networks for channel coding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:46.700216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8513fd19-682a-4c27-9f21-1ec1f83402e3 · outbound

This paper cites Attention is all you need,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Attention is all you need,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:46.448202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39dc030b-cc63-4fcd-a70c-88979522e5c8 · outbound

This paper cites Error correction code transformer,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Error correction code transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:46.212719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0a05804b-205b-4abc-a35d-71304c253def · outbound

This paper cites CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:42.832941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102f3a15-eb3a-46da-b517-71fabb42dce3 · outbound

This paper cites On the design and performance of machine learning based error correcting decoders,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime On the design and performance of machine learning based error correcting decoders,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:48:44.388010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bd9cc24d-6b12-4b27-9fe3-66b24a454492 · outbound

This paper cites Efficient design and decoding of polar codes,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Efficient design and decoding of polar codes,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:45.924084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7e74d98-043b-4e06-81c5-1606eea3094c · outbound

This paper cites Beyond dis- crete selection: continuous embedding space optimization for generative feature selection,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Beyond dis- crete selection: continuous embedding space optimization for generative feature selection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:45.724215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35a28022-ebac-45cd-9897-fcba2d1f11f3 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Mish: A Self Regularized Non-Monotonic Activation Function

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:43.299681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dfd3cc9-4350-4e04-a466-e8b559d10e06 · outbound

This paper cites Deep residual learning for image recognition,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Deep residual learning for image recognition,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:43.403818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6266ede5-f260-435c-8309-1eb3c02afdf1 · outbound

This paper cites Layer Normalization.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Layer Normalization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:43.512949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b16581-cd87-4835-b772-4185be9240bd · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Rethinking the inception architecture for computer vision,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:45.500001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 990e2496-74d4-44d2-91fd-52a7bf714801 · outbound

This paper cites Tweedie’s formula and selection bias,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime Tweedie’s formula and selection bias,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:45.206228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42c924eb-6d24-48ff-bb04-79eeedbfbe65 · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm with application to wavelet-based image deblurring,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime A fast iterative shrinkage-thresholding algorithm with application to wavelet-based image deblurring,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:44.922387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 549034b1-add5-46b0-b107-48774e0de3aa · outbound

This paper cites White-box transformers via sparse rate reduction,.

Latent-attention Based Transformer for Near ML Polar Decoding in Short-code Regime White-box transformers via sparse rate reduction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:48:44.598534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.