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Paper Citation Record · LEDGER

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes

As of 12 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2604.19035.

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

pith.paper-citation-record.v1
2604.19035 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:19:46.792046Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:50:02.941459Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-09T06:15:38.992067Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 339a0f2b-dbfb-426f-9b5e-8cf6c12f9fbf · outbound

This paper cites A mathematical theory of communication.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes A mathematical theory of communication

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.315735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:009dceafb99923d24a1a8bd82bdfc7452d5fe9e4cc2ff296c90141a019d7c01a

Observation 56b80bfe-cd94-4c85-bf47-c5f5f02db9d1 · outbound

This paper cites Coding for noisy channels.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Coding for noisy channels

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.318320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:893a39afefbd831013a32eb73919298844e9251d2c152c5ac70b8f24cde10242

Observation 7546496c-22ac-4e53-a572-717c9fb77ac0 · outbound

This paper cites Low-density parity-check codes.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Low-density parity-check codes

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.310646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:a77f67a5fcfba8017f785abb219bd15b840e41c5e8ff4da6230dea4ec22d282d

Observation 91330cac-2bd6-46fe-a72d-ebadc06ef9cb · outbound

This paper cites Source-controlled channel decoding.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Source-controlled channel decoding

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.304893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:5a091291c4e98eaa753918b5dfbb0c803c76cdc33d4e04aec2a6303d00ee1a69

Observation a6c95666-ed91-4a61-aa62-b719ca330761 · outbound

This paper cites Deep learning enabled seman- tic communication systems.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Deep learning enabled seman- tic communication systems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.342799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:84211a23b60ddfae95a9d1d0ea96892fde3c6febd0f7bf407032bb3fbddb550d

Observation c88184e0-ba28-49bb-9e27-a54fea165cc4 · outbound

This paper cites Beyond transmitting bits: Context, semantics, and task-oriented communications.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Beyond transmitting bits: Context, semantics, and task-oriented communications

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.321358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:25cb2d36b00c6e372d8c1b140cccc37aed4e5a05ca6573d3e5ffcd628136006c

Observation 6024bd59-c984-4530-84a1-4a6fb47abb4d · outbound

This paper cites Deep joint source- channel coding for wireless image transmission.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Deep joint source- channel coding for wireless image transmission

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.313160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:512d216950f0a4c2b726de8523f60f23472817759c41bee17990adf9d2072a17

Observation 3e9dbeb3-eab7-4dac-9144-1630c2dc6610 · outbound

This paper cites Generative ai for physical layer commu- nications: A survey.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Generative ai for physical layer commu- nications: A survey

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.339259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:ca61ca82cf7b52fd44c8f62cd2d0b8b3001938c0d6d3aac94b08f7fa1c6046ab

Observation 72ad2695-7ece-4b98-865d-07cd78b677ff · outbound

This paper cites Short Wins Long: Short Codes with Language Model Semantic Correction Outperform Long Codes.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Short Wins Long: Short Codes with Language Model Semantic Correction Outperform Long Codes

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:06:05.447366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:1b639354505265208099598637d923a1b8911ac15b3a823c931c76eb55d0f348

Observation c96a22d7-95d3-492e-9cfa-a6067db3e7bd · outbound

This paper cites List viterbi decoding algorithms with applications.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes List viterbi decoding algorithms with applications

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.333390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:640d4345980ba36dd3ce056d3dd5c8eb2a47d67bc432fce74ae376866a72a8d4

Observation 444a8103-a9cb-4ade-bf79-c3308f0f0b84 · outbound

This paper cites Byt5: Towards a token-free future with pre-trained byte-to-byte models.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Byt5: Towards a token-free future with pre-trained byte-to-byte models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.330222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:621aa776fe569ff6379d1e91f75ceea11b05d71e1a1f662c83ecd16d3e3de670

Observation 069f717e-0ba9-4f57-9d19-e7b0c1cbe7e6 · outbound

This paper cites Error bounds for convolutional codes and an asymptotically optimum decoding algorithm.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.336497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:72ec57c42dd1a2fe5757ad7ad35f0db4a48350339965967fa5975bbaf1e42c97

Observation b0753ad5-499e-4bf8-8a76-4c9a945f4efa · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-11T13:06:05.460152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:af368fc9274fd4b16bcda38f76be1f3040373766bb1d7a660cca329de794cb59

Observation 8afc7ebc-f2bb-4b47-b802-10184f6b47cd · outbound

This paper cites A large annotated corpus for learning natural language inference.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes A large annotated corpus for learning natural language inference

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.324347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:29c95ff0b6e1beccdb95f4de2acc09377f2968facbcda2ef93c04c6ee41086fd

Observation 60d47099-09de-4b2d-8376-22bd6d8da0d4 · outbound

This paper cites Transformers: State- of-the-art natural language processing.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Transformers: State- of-the-art natural language processing

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.307773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:3a90836a07be753cd1fc3ee879f4693600f454749b46f0286bfb7c610bfd7971

Observation 3806d44b-f64d-45c8-bce0-11b35488d002 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes Pytorch: An imperative style, high-performance deep learning library

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T22:55:13.327175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T02:19:46.792046Z digest=sha256:bdf523a31ffb4c2993de80532fbfd7139ddf1f78eeff6b27828c579fa568d15d

Pith citing papers

Observation 6d59eeef-c8e9-453a-ab5f-d7063a8af232 · inbound

Semantic Ordered Statistics Decoding cites this paper.

Semantic Ordered Statistics Decoding LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-09T06:15:38.993457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T18:40:51.495041Z digest=sha256:0171760d5a70a7003a2b0a3e1d5280ef9ca8025763593019a7a542a3f6fb0d2b

Observation 360ce67e-1130-4934-aa27-79007230be83 · inbound

Semantic-Aware Data-Aided Channel Estimation with Large Language Models for MIMO Systems cites this paper.

Semantic-Aware Data-Aided Channel Estimation with Large Language Models for MIMO Systems LLM-Viterbi: Semantic-Aware Decoding for Convolutional Codes

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T14:50:02.941459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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