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Paper Citation Record · LEDGER

Deep Multi-modal Neural Receiver for 6G Vehicular Communication

As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2501.13464.

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

pith.paper-citation-record.v1
2501.13464 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:58:33.378042Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:49:19.355666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:22:10.684255Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59c48bf1-1626-469f-89d0-f58a451dcb8f · outbound

This paper cites Meeting IMT 2030 Performance Targets: The Potential of OTFDM Waveform and Structural MIMO Technologies.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Meeting IMT 2030 Performance Targets: The Potential of OTFDM Waveform and Structural MIMO Technologies

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:58:33.894550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.095268Z digest=sha256:e3c077baf53a0b0a84969727e581be58515755075a45b1ee744be6056d477d86

Observation 2a30e1c9-cd41-4364-bddd-036fa798452e · outbound

This paper cites Ribouh, R.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Ribouh, R

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:34.181685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.130147Z digest=sha256:21e083a661cc6ef2d5d5e300e0d5d21fde8e7c673c80d61e4c35b007c9822661

Observation e7277e85-bde9-4897-9b4b-8ca3e01b3034 · outbound

This paper cites Gharsallah and G.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Gharsallah and G

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.175216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.175216Z digest=sha256:6e88655494488989466b8049d68e1c619df020e96069f41188b25b390df99131

Observation e492c762-8353-4149-bcd8-335736f73c0d · outbound

This paper cites Ribouh & A.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Ribouh & A

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:34.167660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.249739Z digest=sha256:d02d811c036b1620195db7abad44e0850e876fe099ff276a4901c6376d64ed30

Observation 988a463e-edae-4810-9f21-39029de957fb · outbound

This paper cites Noor-A-Rahim, Z.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Noor-A-Rahim, Z

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:34.081109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.330018Z digest=sha256:5c173fd391713ab44536df7aaef5d77216940b146cc6447ff8d3ad3a58fcdb22

Observation 70b37f99-76ad-43ef-9698-f29d18480c7d · outbound

This paper cites Ribouh, Y.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Ribouh, Y

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:34.003628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.334023Z digest=sha256:554779bda61e21e6b2235ec8629e38a0bdd0819cd900a021eb098d975fcce107

Observation 83c72c6a-76bd-469f-9c6f-9f74642e32d0 · outbound

This paper cites The Case for Cellular V2X for Safety and Cooperative Driving,.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication The Case for Cellular V2X for Safety and Cooperative Driving,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.338543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.338543Z digest=sha256:a32dc71705f73882a0739ff1abfc240262acacc3763eeec3343b51d2b2ec38b1

Observation 93a8ede1-00a1-4368-bd45-5137b11161c6 · outbound

This paper cites Ribouh & A.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Ribouh & A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:33.942450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.342424Z digest=sha256:26df37d39dbefc179a024adbd339dd20e6fc9f11b42ad63aa95ea26ee8f99caa

Observation 61ff817c-57e2-4a8a-9365-52e1fc5ba13e · outbound

This paper cites O’Shea and J.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication O’Shea and J

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.346398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.346398Z digest=sha256:423b9f449fbb542e579eb8a5b2ef991f02005277b5d48482d603c5702e7d2332

Observation 7c2a91f6-390d-4eef-bd39-6ff236391c91 · outbound

This paper cites an unresolved cited work.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.350482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.350482Z digest=sha256:8897893eb43627f078cdc7df6516962b133e51412da802d532e5a5423af07159

Observation 538c6b61-8c52-44c3-9b58-910260a00669 · outbound

This paper cites Honkala, D.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Honkala, D

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.354504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.354504Z digest=sha256:dca316a01f8fdffcb2caf7bf01b88847136764bef5d5c6678389f895f3a99921

Observation 5c6ae733-f539-424c-ac6b-1040d5dcec11 · outbound

This paper cites TransRx-6G-V2X : Transformer Encoder-Based Deep Neural Receiver For Next Generation of Cellular Vehicular Communications.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication TransRx-6G-V2X : Transformer Encoder-Based Deep Neural Receiver For Next Generation of Cellular Vehicular Communications

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:58:33.507591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.359109Z digest=sha256:c56d63184ab1cc2b165fe11764bf1535630981ddf3a4ed1ca763bf051f6aa86a

Observation 324428bc-a65b-4199-a491-520f4ef7494b · outbound

This paper cites Vaswani, ”Attention is all you need.” Advances in Neural Information Processing Systems (2017).

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Vaswani, ”Attention is all you need.” Advances in Neural Information Processing Systems (2017)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:33.927657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:58:33.364369Z digest=sha256:1ae9c7fa5a2bc20da73064f66ef8428f72e87004abf719efddb6cfc306727b43

Observation 2fa442de-6b0c-4889-95c9-b4984cd7f8f3 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.368660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.368660Z digest=sha256:cef4606606f5cf456d8e438bb2d9682a8c961b1ca87586f140612769104f2f7f

Observation 03e5ad75-4b43-4d37-ba9b-e7b37bc014e0 · outbound

This paper cites an unresolved cited work.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.373510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.373510Z digest=sha256:cfec50ac0a363ca711f802831f093bf3eabbeae0da0af407dfd5b416fb5c8d64

Observation 355ea7db-21fe-4f55-8941-99d77199e9c4 · outbound

This paper cites Alkhateeb, G.

Deep Multi-modal Neural Receiver for 6G Vehicular Communication Alkhateeb, G

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:33.378042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:33.378042Z digest=sha256:acc18d0dd4327e0d25bf58ede63db0494e3dc1165df3acab7baf93457f1fd935

Pith citing papers

Observation 3004d0c2-4318-4724-a989-e17668b40a97 · inbound

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement cites this paper.

Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement Deep Multi-modal Neural Receiver for 6G Vehicular Communication

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:49:19.355666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:49:19.355666Z digest=sha256:3cdcc25abfedf14b5fdfc996527e28bf02a559ab4a86e4e9b4bc37b0c29a16ac

Observation fe8a9a88-a520-4ba0-96e9-9f80d5728ce6 · inbound

Learning-Based Hybrid Neural Receiver for 6G-V2X Communications cites this paper.

Learning-Based Hybrid Neural Receiver for 6G-V2X Communications Deep Multi-modal Neural Receiver for 6G Vehicular Communication

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:22:10.751995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T22:22:09.636977Z digest=sha256:8405e0d2acc986ab252f549d0b2cd35cf6a0d62e0369daf3c276d1f73071f76d