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pith:WWQLNHOI

pith:2026:WWQLNHOI63GP5DGUSE4OTHWMBJ
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Body-Grounded Perspective Formation and Conative Attunement in Artificial Agents

Hongju Pae

A minimal architecture with interoceptive signals and conative alignment enables artificial agents to form body-grounded perspectives and stable behaviors without rewards.

arxiv:2605.16728 v1 · 2026-05-16 · cs.AI

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

This study shows how minimal structural conditions for artificial subjectivity can be operationalized in the phenomenological sense, through the embodied organization of how a world is given to an agent.

C2weakest assumption

That the specific combination of an interoceptive viability signal, a Fisher-style metric over fused states, and a conative alignment mechanism is sufficient to produce recoverable body-grounded perspective and stable body-directed behavior in the reward-free gridworld.

C3one line summary

Proposes a body-grounded perspective model for AI agents using interoceptive viability signals, a Fisher-style metric on fused states, and conative alignment to produce stable body-directed behavior in a reward-free gridworld.

References

22 extracted · 22 resolved · 1 Pith anchors

[1] PLoS Computational Biology 19(10):e1011465 2023 · doi:10.1371/journal.pcbi.1011465
[2] Information Geometry and Its Applications 2016 · doi:10.1007/978-4-431-55978-8
[3] Harcourt Brace and Co (1999) 1999
[4] Basic Books (1989) 1989
[5] Internal models in the cerebel- lum 2000 · doi:10.1016/s1364-

Formal links

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Receipt and verification
First computed 2026-05-20T00:02:38.722415Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b5a0b69dc8f6ccfe8cd49138e99ecc0a7d60421aae99f0a438c80bdb0516b759

Aliases

arxiv: 2605.16728 · arxiv_version: 2605.16728v1 · doi: 10.48550/arxiv.2605.16728 · pith_short_12: WWQLNHOI63GP · pith_short_16: WWQLNHOI63GP5DGU · pith_short_8: WWQLNHOI
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WWQLNHOI63GP5DGUSE4OTHWMBJ \
  | 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: b5a0b69dc8f6ccfe8cd49138e99ecc0a7d60421aae99f0a438c80bdb0516b759
Canonical record JSON
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    "abstract_canon_sha256": "bf14b3b014bb1a74932eca73e74dc2e2dbe26936396a995da60e96d56e9ea805",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-16T00:30:41Z",
    "title_canon_sha256": "e9652beeaa533d2e7e3423d0068ebd93cde35b9db1f94c9569fea03f8164fc5b"
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    "kind": "arxiv",
    "version": 1
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}