Pith Number
pith:IHRTX4A3
pith:2024:IHRTX4A3SMGKKSXHLZQTYHNQ2J
not attested
not anchored
not stored
refs pending
Intention-aware Denoising Diffusion Model for Trajectory Prediction
arxiv:2403.09190 v1 · 2024-03-14 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IHRTX4A3SMGKKSXHLZQTYHNQ2J}
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 | 2026-07-05T07:56:06.584472Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
41e33bf01b930ca54ae75e613c1db0d2619e53eae4c21524ed3efa8229bc1df1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IHRTX4A3SMGKKSXHLZQTYHNQ2J \
| 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: 41e33bf01b930ca54ae75e613c1db0d2619e53eae4c21524ed3efa8229bc1df1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "76ac32afe86790bc4d42536978507a05d398d0225273a1367df5112ccb9d7338",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-03-14T09:05:25Z",
"title_canon_sha256": "1a8ccd72fcec8be3fcdbd0676190cd0873386fceabd17ce5bfc031b60ba872ac"
},
"schema_version": "1.0",
"source": {
"id": "2403.09190",
"kind": "arxiv",
"version": 1
}
}