Pith Number
pith:PHYDC2JF
pith:2025:PHYDC2JFP2Z7ZCIXR4GGUVOGKH
not attested
not anchored
not stored
refs pending
Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains
arxiv:2507.09676 v1 · 2025-07-13 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PHYDC2JFP2Z7ZCIXR4GGUVOGKH}
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 | 2026-07-05T11:36:37.906979Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79f03169257eb3fc89178f0c6a55c651cd1a1a016dc94dc22b669d3458f9ea61
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PHYDC2JFP2Z7ZCIXR4GGUVOGKH \
| 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: 79f03169257eb3fc89178f0c6a55c651cd1a1a016dc94dc22b669d3458f9ea61
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "304b936559433a11312ed458e291ff302c5e475d2cf501115f7c6e32e67a0e73",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2025-07-13T15:23:31Z",
"title_canon_sha256": "61b3987a1e98dc664fd16db635c575b225a709c63075427f8b510d3fa6e316b7"
},
"schema_version": "1.0",
"source": {
"id": "2507.09676",
"kind": "arxiv",
"version": 1
}
}