pith:RWPCTPJL
Towards Continuous Sign Language Conversation from Isolated Signs
SignaVox generates 3D sign language responses directly from prior signing context without text or glosses.
arxiv:2605.14705 v1 · 2026-05-14 · cs.CV
Record completeness
Claims
We train SignaVox, a direct sign-to-sign conversational model that generates 3D body, hand, and facial motion responses from prior signing context without spoken-language text or externally provided glosses at inference time.
That the recomposed continuous sign videos from isolated clips using BRAID accurately capture natural co-articulation and semantics, and that the retrieval-guided translator provides high-quality gloss sequences without significant errors.
Constructs continuous sign conversation data from isolated signs using retrieval and diffusion models to train a direct sign-to-sign conversational AI.
References
Receipt and verification
| First computed | 2026-05-17T23:38:59.278087Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519 (pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8d9e29bd2bb3ca174b59a375a68a38f75a8fe70f86fcdbff0c7e6533c7559edb
Aliases
· ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RWPCTPJLWPFBOS2ZUN22NCRY65 \
| 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: 8d9e29bd2bb3ca174b59a375a68a38f75a8fe70f86fcdbff0c7e6533c7559edb
Canonical record JSON
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