pith:BY5FSUME
Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective
AI reliability requires turning uninspectable reasoning patterns into human-endorsable Knowledge Objects.
arxiv:2605.02010 v2 · 2026-05-03 · cs.AI
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\usepackage{pith}
\pithnumber{BY5FSUME5XKWARWTLAU35E5WKK}
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Record completeness
Claims
Current reliability methods can only verify explicit knowledge against sources, creating a fundamental gap: the most valuable AI capabilities (reasoning, judgment, intuition) are precisely those we cannot verify.
That implicit knowledge can be captured in structured Knowledge Objects without substantial loss of its original value or introduction of new unverifiable biases, and that humans can feasibly inspect and endorse them at the required scale.
Reliable AI needs structured Knowledge Objects to externalize and enable human validation of implicit knowledge that current methods cannot verify.
Formal links
Receipt and verification
| First computed | 2026-05-26T02:03:13.823970Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e3a595184edd56046d35829be93b6528982b28f3a83d233dae578b95b11445f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BY5FSUME5XKWARWTLAU35E5WKK \
| 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: 0e3a595184edd56046d35829be93b6528982b28f3a83d233dae578b95b11445f
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-03T18:31:45Z",
"title_canon_sha256": "c03cbbfc93a6b0416ea32790a8adc85d0a30cf256f6ca8abca4258e437f861df"
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