Pith Number
pith:SVPK3BXE
pith:2024:SVPK3BXEDGMWVO5PQYGND4K3FC
not attested
not anchored
not stored
refs pending
Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
arxiv:2403.11487 v3 · 2024-03-18 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SVPK3BXEDGMWVO5PQYGND4K3FC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
Receipt and verification
| First computed | 2026-07-05T08:03:11.119555Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
955ead86e419996abbaf860cd1f15b28a1bbc8b19f5472bc6b3456e84bb9d93e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SVPK3BXEDGMWVO5PQYGND4K3FC \
| 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: 955ead86e419996abbaf860cd1f15b28a1bbc8b19f5472bc6b3456e84bb9d93e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7487d8962770a5d5363fb4e5ad864c83eadbd1a8616ff05436dc023974cc6b95",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-03-18T05:38:07Z",
"title_canon_sha256": "e3785fbb90691d38add9d95906262e3d144031569d16c2e509d8a5078a29676f"
},
"schema_version": "1.0",
"source": {
"id": "2403.11487",
"kind": "arxiv",
"version": 3
}
}