Pith Number
pith:TQJFXDUF
pith:2021:TQJFXDUFQRS6FMBFQY5VR5J2MO
not attested
not anchored
not stored
refs pending
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation
arxiv:2101.01774 v1 · 2021-01-05 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TQJFXDUFQRS6FMBFQY5VR5J2MO}
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
· sign in to
claim
4
Citations
5
Replications
✓
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
Receipt and verification
| First computed | 2026-07-05T02:05:00.139478Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c125b8e858465e2b025863b58f53a638f5eb25a2e07f46e8ff6d51eefacb7b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TQJFXDUFQRS6FMBFQY5VR5J2MO \
| 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: 9c125b8e858465e2b025863b58f53a638f5eb25a2e07f46e8ff6d51eefacb7b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "17a79a8505aa2d19d984448f0ea68a6f5702b1ec464f85f651b0a63ab5f9c1bb",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2021-01-05T20:35:14Z",
"title_canon_sha256": "afdbb5d8bcb3c6d3b60e517675bf1adbe097f6fa24ff90690934c7c413328338"
},
"schema_version": "1.0",
"source": {
"id": "2101.01774",
"kind": "arxiv",
"version": 1
}
}