Pith Number
pith:YA6UG6OM
pith:2018:YA6UG6OMT5K6UEX7FAJWKY6TMD
not attested
not anchored
not stored
refs pending
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach
arxiv:1810.07926 v1 · 2018-10-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YA6UG6OMT5K6UEX7FAJWKY6TMD}
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
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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.
Receipt and verification
| First computed | 2026-05-18T00:02:53.734806Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c03d4379cc9f55ea12ff28136563d360cd6590334f5dcb4e20d3e81fd1aed408
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YA6UG6OMT5K6UEX7FAJWKY6TMD \
| 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: c03d4379cc9f55ea12ff28136563d360cd6590334f5dcb4e20d3e81fd1aed408
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d321a16911a2b0581f67d3f176d2cbde0fb73de702ee58ee64a7226ca4642755",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-10-18T07:15:06Z",
"title_canon_sha256": "c25397f8657913ce4bfa3fdd4ba13fad18198b469b9e893584adf37b046d93ab"
},
"schema_version": "1.0",
"source": {
"id": "1810.07926",
"kind": "arxiv",
"version": 1
}
}