Pith Number
pith:PA3MCOFJ
pith:2024:PA3MCOFJRIH3GPJFL5NYGDNS46
not attested
not anchored
not stored
refs resolved
Hallucination is Inevitable: An Innate Limitation of Large Language Models
LLMs cannot learn all computable functions and will therefore inevitably hallucinate when used as general problem solvers.
arxiv:2401.11817 v2 · 2024-01-22 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PA3MCOFJRIH3GPJFL5NYGDNS46}
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
· sign in to
claim
4
Citations
5
Replications
✓
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
we show that LLMs cannot learn all the computable functions and will therefore inevitably hallucinate if used as general problem solvers
C2weakest assumption
The formal computable world is representative enough of the real world that the impossibility result carries over directly to practical LLMs.
C3one line summary
Hallucinations are inevitable in LLMs because they cannot learn all computable functions according to learning theory.
References
[1] Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models
[2] Computational Complexity - A Modern Approach
[3] On the prediction of General Recursive Functions
[4] Learning families of algebraic structures from informant
[5] Airline held liable for its chatbot giving passenger bad advice -- what this means for travellers, February 2024
Cited by
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning
Receipt and verification
| First computed | 2026-05-17T23:38:50.232845Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7836c138a98a0fb33d255f5b830db2e78729ce4a796224c35216fc6cb736bb6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PA3MCOFJRIH3GPJFL5NYGDNS46 \
| 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: 7836c138a98a0fb33d255f5b830db2e78729ce4a796224c35216fc6cb736bb6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "248c375cbb4fd5f2746f4d1b73399ec0426c9050dc6345ed0f1bc46fbd9b1bf4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-01-22T10:26:14Z",
"title_canon_sha256": "0a5982e2771b534222c546140a26a6e14601bed245b6e35d3b5a1fcd4f37b4cc"
},
"schema_version": "1.0",
"source": {
"id": "2401.11817",
"kind": "arxiv",
"version": 2
}
}