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Pith Number

pith:BY5FSUME

pith:2026:BY5FSUME5XKWARWTLAU35E5WKK
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Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective

Christian S. Jensen, Hengyu Liu, Kristian Torp, Tianyi Li, Torben Bach Pedersen, Yushuai Li, Zhangkai Wu, Zhihong Cui

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

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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.

Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

Reliable AI needs structured Knowledge Objects to externalize and enable human validation of implicit knowledge that current methods cannot verify.

Formal links

2 machine-checked theorem 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

arxiv: 2605.02010 · arxiv_version: 2605.02010v2 · doi: 10.48550/arxiv.2605.02010 · pith_short_12: BY5FSUME5XKW · pith_short_16: BY5FSUME5XKWARWT · pith_short_8: BY5FSUME
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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    "abstract_canon_sha256": "49790e6f60efa8fae81203b74a5ac48fc617a7d7afaeb77d1aeb2418eb5b6ee2",
    "cross_cats_sorted": [],
    "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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  "source": {
    "id": "2605.02010",
    "kind": "arxiv",
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}