Pith Number

pith:JK4OAJ7L

pith:2023:JK4OAJ7LHJRN3RLAJAIQZ3FNXM

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A Survey of Hallucination in Large Foundation Models

Amitava Das, Amit Sheth, Vipula Rawte

Hallucination in large foundation models falls into specific types that support targeted evaluation criteria and mitigation strategies.

arxiv:2309.05922 v1 · 2023-09-12 · cs.AI · cs.CL · cs.IR

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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

The paper offers a comprehensive examination of the challenges and solutions related to hallucination in LFMs by classifying various types of hallucination phenomena specific to LFMs, establishing evaluation criteria, examining mitigation strategies, and discussing future research directions.

C2weakest assumption

The assumption that the reviewed literature is sufficiently representative and that the proposed classification of hallucination types adequately captures the full range of phenomena in large foundation models.

C3one line summary

A survey classifying hallucination phenomena specific to large foundation models, establishing evaluation criteria, examining mitigation strategies, and discussing future directions.

References

127 extracted · 127 resolved · 21 Pith anchors

[1] Kyle Wiggers , title=

[4] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

[10] The American Surgeon , volume= 2007

[11] Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 , pages= 2014

[12] Proceedings of the IEEE international conference on computer vision , pages=

Formal links

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Cited by

27 papers in Pith

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Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks

Receipt and verification

First computed	2026-05-17T23:38:47.455832Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4ab8e027eb3a62ddc56048110cecadbb0ee5eca9bca8c8eeb6a229568880dfcd

Aliases

arxiv: 2309.05922 · arxiv_version: 2309.05922v1 · doi: 10.48550/arxiv.2309.05922 · pith_short_12: JK4OAJ7LHJRN · pith_short_16: JK4OAJ7LHJRN3RLA · pith_short_8: JK4OAJ7L

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JK4OAJ7LHJRN3RLAJAIQZ3FNXM \
  | 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: 4ab8e027eb3a62ddc56048110cecadbb0ee5eca9bca8c8eeb6a229568880dfcd

Canonical record JSON

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    "abstract_canon_sha256": "5d7b11c69349dd2ae5b3abfbe32f2866d6071ddec015a006d8a7ab6e05f6e437",
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      "cs.CL",
      "cs.IR"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-09-12T02:34:06Z",
    "title_canon_sha256": "d8716cc6b295d0145c9587f3328b97979f0d70b39f530bc8ae500f86051d427d"
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