Pith Number

pith:WDO5PSBN

pith:2026:WDO5PSBNFCRSTWAECAGS5SDGOC

not attested not anchored not stored refs resolved

WhiteTesseract: Reframing the Interpretation of Cultural Heritage through XR and Conversational AI

Jingjing Li, Tatsuki Fushimi, Xiyao Jin, Yoichi Ochiai, Zhi Liu

WhiteTesseract combines XR and conversational AI to extend viewing time and deepen visitor inquiries in physical cultural heritage exhibitions.

arxiv:2605.16972 v1 · 2026-05-16 · cs.HC · cs.AI

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\usepackage{pith}
\pithnumber{WDO5PSBNFCRSTWAECAGS5SDGOC}

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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

Quantitative results showed that WhiteTesseract modulation significantly increased average viewing duration from 35.3 to 98.3 seconds (p < 0.001). Analysis of 529 visitor-AI interactions revealed that 60% extended beyond factual queries to include analytical, emotional, and comparative inquiries.

C2weakest assumption

The controlled laboratory-style deployment with 26 participants and post-hoc classification of interactions accurately captures the effect that would occur in an uncontrolled public exhibition where visitors move freely and social context varies.

C3one line summary

WhiteTesseract deploys XR-based diminished reality and LLM dialogue in a Monet exhibition, raising average viewing time from 35.3 to 98.3 seconds and shifting 60% of 529 interactions toward analytical and emotional queries.

References

97 extracted · 97 resolved · 3 Pith anchors

[1] Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, and Leonidas J Guibas. 2021. Artemis: Affective language for visual art. InProceedings of the IEEE/CVF Conference on Computer 2021

[2] Nasim Ahmed, Peng Wu, Kaiming Huang, Sungchul Jung, Hansol Rheem, Gang Tan, Mahdi Imani, and Rifatul Islam. 2025. Human Task Performance and Associated Internal States in Extended Reality: A Systemati 2025

[3] Ahmed Alnagrat, Rizalafande Che Ismail, Syed Zulkarnain Syed Idrus, and Rawad Mansour Abdulhafith Alfaqi. 2022. A review of extended reality (XR) technologies in the future of human education: Current 2022

[4] 1969.School learning: An introduction to educational psychology 1969

[5] Mafkereseb Kassahun Bekele, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, and James Gain. 2018. A survey of augmented, virtual, and mixed reality for cultural heritage.Journal on Comput 2018

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:33.752180Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b0ddd7c82d28a329d804100d2ec8667083118289576c31ddc1a98695bb0b20aa

Aliases

arxiv: 2605.16972 · arxiv_version: 2605.16972v1 · doi: 10.48550/arxiv.2605.16972 · pith_short_12: WDO5PSBNFCRS · pith_short_16: WDO5PSBNFCRSTWAE · pith_short_8: WDO5PSBN

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/WDO5PSBNFCRSTWAECAGS5SDGOC \
  | 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: b0ddd7c82d28a329d804100d2ec8667083118289576c31ddc1a98695bb0b20aa

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8025ceb42b88e86d02dbbfd7533e0349272ed475eb5fa8e587a716db81b0f040",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-05-16T12:50:37Z",
    "title_canon_sha256": "40432130513aba8e1df7fbd76ed4520ddf631582944c1b7436bcf9f64d20510f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16972",
    "kind": "arxiv",
    "version": 1
  }
}