pith:NBGSRIW6
SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling
Predicting future user-item pairs allows precomputing their embeddings to use complex foundation models in real-time serving.
arxiv:2604.12110 v2 · 2026-04-13 · cs.LG
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\pithnumber{NBGSRIW6WQJGDWQRLUZTKAQ3LC}
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Record completeness
Claims
Deployed across Meta's advertising system serving billions of daily requests, SOLARIS achieves 0.67% revenue-driving top-line metrics gain, demonstrating its effectiveness at scale.
That accurate prediction of which user-item pairs will appear in future requests is feasible at low enough error rate to deliver net positive value after accounting for precomputation cost and any stale or unused embeddings.
SOLARIS speculatively precomputes user-item latent representations to decouple large-model inference from real-time serving, delivering 0.67% revenue gain when deployed in Meta's ad system.
Receipt and verification
| First computed | 2026-06-05T01:14:38.481258Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
684d28a2deb41261da115d3335021b588fe39c2786321f4d0d82777446f541ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NBGSRIW6WQJGDWQRLUZTKAQ3LC \
| 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: 684d28a2deb41261da115d3335021b588fe39c2786321f4d0d82777446f541ca
Canonical record JSON
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