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pith:WGFKAZR3

pith:2026:WGFKAZR3OMUB4CL24OCQSV5Y7X
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Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS)

Jiro Katto, Kasidis Arunruangsirilert

Transformer model forecasts safe MCS for 5G video multicast

arxiv:2605.16735 v1 · 2026-05-16 · cs.NI · cs.LG

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\pithnumber{WGFKAZR3OMUB4CL24OCQSV5Y7X}

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

our approach achieves a reliability score of 86.89%, significantly outperforming standard AI baselines optimized for raw throughput (31.65%) while maintaining a safe conservative bias.

C2weakest assumption

The commercial network dataset with 0.5 ms slot-level granularity is representative of actual MBS deployments and that the custom Asymmetric Safety Loss produces predictions that generalize beyond the training distribution without hidden overfitting to the specific test conditions.

C3one line summary

A lightweight Transformer predicts MCS success probabilities for 5G MBS on commercial 0.5 ms slot data using an asymmetric safety loss, reaching 86.89% reliability versus 31.65% for throughput-focused baselines.

References

24 extracted · 24 resolved · 1 Pith anchors

[1] Street smart in 5g: Vehicular applications, communication, and computing, 2022
[2] Multimedia service trials based on 5g nr mbs, 2024
[3] A survey on multicast broadcast services in 5g and beyond, 2022
[4] 5g mbs system capability verification in commercial scenario, 2022
[5] Private 5g mimo for cable tv ip broadcasting, 2024

Formal links

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Receipt and verification
First computed 2026-05-20T00:02:39.029654Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b18aa0663b73281e097ae3850957b8fdf67a72f4a199965043dfc253fee4088d

Aliases

arxiv: 2605.16735 · arxiv_version: 2605.16735v1 · doi: 10.48550/arxiv.2605.16735 · pith_short_12: WGFKAZR3OMUB · pith_short_16: WGFKAZR3OMUB4CL2 · pith_short_8: WGFKAZR3
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGFKAZR3OMUB4CL24OCQSV5Y7X \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b18aa0663b73281e097ae3850957b8fdf67a72f4a199965043dfc253fee4088d
Canonical record JSON
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  "metadata": {
    "abstract_canon_sha256": "7356fe5329ff95302dad21d3d7348b9edadbb5ab7ec6439a0bd497d2a40fda41",
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NI",
    "submitted_at": "2026-05-16T01:10:55Z",
    "title_canon_sha256": "2c0937fe031d3df2df7d96add08e4b12661bbf71c02b2cb31999066abf01e750"
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