Pith Number
pith:YR7DOQJW
pith:2025:YR7DOQJWBL7FWBJ7J7BDMTLW4T
not attested
not anchored
not stored
refs pending
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
arxiv:2505.17684 v1 · 2025-05-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YR7DOQJWBL7FWBJ7J7BDMTLW4T}
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 | 2026-07-05T11:32:29.606894Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c47e3741360afe5b053f4fc2364d76e4f3e91b8ced0c2cf2e0c1159cabee14ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YR7DOQJWBL7FWBJ7J7BDMTLW4T \
| 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: c47e3741360afe5b053f4fc2364d76e4f3e91b8ced0c2cf2e0c1159cabee14ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "585de124114f706a68c199914964ed4f7dbe32f2084b3f2819606489acb38742",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-23T09:54:58Z",
"title_canon_sha256": "7ef58d87c7e49e85becec30e87a2092851cad957067265536191010067954fdc"
},
"schema_version": "1.0",
"source": {
"id": "2505.17684",
"kind": "arxiv",
"version": 1
}
}