Pith Number
pith:WQHYUDGE
pith:2022:WQHYUDGEXKTLTTREUOARR2OTIG
not attested
not anchored
not stored
refs pending
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter
arxiv:2203.00875 v1 · 2022-03-02 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WQHYUDGEXKTLTTREUOARR2OTIG}
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.
Receipt and verification
| First computed | 2026-07-05T04:01:35.063483Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b40f8a0cc4baa6b9ce24a38118e9d341a9ec989f438386bb2f8346ab5f3a8ae0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WQHYUDGEXKTLTTREUOARR2OTIG \
| 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: b40f8a0cc4baa6b9ce24a38118e9d341a9ec989f438386bb2f8346ab5f3a8ae0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "416ecd0a3d22477891c062318cc6e930ba33c209a591fc7f9187120f8348e5dd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-03-02T05:17:21Z",
"title_canon_sha256": "c257dc6416cdf426bb8d1d4d0f455524e11cd6d671d38bdcb6e795e5e1039769"
},
"schema_version": "1.0",
"source": {
"id": "2203.00875",
"kind": "arxiv",
"version": 1
}
}