Pith Number
pith:VXDDNPSO
pith:2022:VXDDNPSOEKHJNHHLZZTGD5AXJ7
not attested
not anchored
not stored
refs pending
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
arxiv:2203.07402 v1 · 2022-03-14 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VXDDNPSOEKHJNHHLZZTGD5AXJ7}
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 | 2026-07-05T04:05:04.174629Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
adc636be4e228e969cebce6661f4174fdd6fa1ea6806fa247a53ea7f7e1e2481
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VXDDNPSOEKHJNHHLZZTGD5AXJ7 \
| 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: adc636be4e228e969cebce6661f4174fdd6fa1ea6806fa247a53ea7f7e1e2481
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "412c17e22196731c25c29d01e6131f32875d67167e454ca6ae39ce3453ea9a5f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-03-14T18:03:21Z",
"title_canon_sha256": "9714f5105437241f261bb81791c1e601e5905eb23d05ba63c166b81f7c8475d5"
},
"schema_version": "1.0",
"source": {
"id": "2203.07402",
"kind": "arxiv",
"version": 1
}
}