Pith Number
pith:TY4HGDTI
pith:2020:TY4HGDTIUT4RGC35RIPKDOS7TQ
not attested
not anchored
not stored
refs pending
Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
arxiv:2010.14838 v3 · 2020-10-28 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TY4HGDTIUT4RGC35RIPKDOS7TQ}
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
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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
Receipt and verification
| First computed | 2026-07-05T01:54:48.091368Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e38730e68a4f9130b7d8a1ea1ba5f9c20f790d64b6c40e0cd5d585da2112a59
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TY4HGDTIUT4RGC35RIPKDOS7TQ \
| 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: 9e38730e68a4f9130b7d8a1ea1ba5f9c20f790d64b6c40e0cd5d585da2112a59
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a583f534f5f097424d65444e12a65f090078c21f6b8e7b94e87a2d2c732e34cd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2020-10-28T09:21:56Z",
"title_canon_sha256": "70e97b105e6f003904b44754aecabc1a002f33b7b10ac4c439063ef4c120fbe4"
},
"schema_version": "1.0",
"source": {
"id": "2010.14838",
"kind": "arxiv",
"version": 3
}
}