Pith Number
pith:2C7D35OC
pith:2025:2C7D35OCH5G5KN4ZI72UKG5BFW
not attested
not anchored
not stored
refs pending
Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting
arxiv:2501.04815 v1 · 2025-01-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2C7D35OCH5G5KN4ZI72UKG5BFW}
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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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.
Receipt and verification
| First computed | 2026-07-05T09:58:46.786882Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0be3df5c23f4dd5379947f5451ba12db82cfdb7035558d8f5a7982fdd4867d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2C7D35OCH5G5KN4ZI72UKG5BFW \
| 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: d0be3df5c23f4dd5379947f5451ba12db82cfdb7035558d8f5a7982fdd4867d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "587117f22b9d15ca7c548644b059dae2b13645b21a3832c83c0101784c1791b2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-08T20:11:09Z",
"title_canon_sha256": "6d123da999190812deaec0b7eed0ce8935f899cc79deed6ed144bdb8bd42aa96"
},
"schema_version": "1.0",
"source": {
"id": "2501.04815",
"kind": "arxiv",
"version": 1
}
}