Pith Number

pith:5GSN5WXG

pith:2026:5GSN5WXG2IIJBXBYKSPTOHT5XD

not attested not anchored not stored refs resolved

TeachAnything: A Multimodal Crowdsourcing Platform for Training Embodied AI Agents in Symmetrical Reality

Rongkai Liu, Yue Li, Zhenliang Zhang, Zidong Liu

TeachAnything platform collects multimodal demonstrations via crowdsourcing and physics simulation to train embodied agents for Symmetrical Reality.

arxiv:2605.14556 v1 · 2026-05-14 · cs.AI

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2 Internet Archive

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4 Citations open

5 Replications open

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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

Building on this paradigm, we developed TeachAnything, a cloud-based, crowdsourcing-oriented demonstration platform with physics simulation capable of collecting diverse demonstration data across varied scenes, tasks, and embodiments.

C2weakest assumption

That integrating multimodal demonstration signals via a three-stage paradigm and crowdsourcing platform will provide the richer human guidance required for embodied agents to acquire human-like intelligence in Symmetrical Reality.

C3one line summary

TeachAnything is a new crowdsourcing platform with physics simulation for collecting multimodal demonstration data to train embodied AI agents in Symmetrical Reality.

References

5 extracted · 5 resolved · 0 Pith anchors

[1] On the emergence of symmetrical reality, 2024

[2] Embodied AI: A Survey on the Evolution from Perceptive to Behavioral Intelligence, 2025

[3] Roboturk: A crowdsourcing platform for robotic skill learning through imitation, 2018

[4] Rt-2: Vision-language-action models transfer web knowledge to robotic control, 2023

[5] Reconstructing hands in 3d with transformers, 2024

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-17T23:39:05.648243Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e9a4dedae6d21090dc38549f371e7db8c7d590f43e8fecc3dbf5795978bbcb81

Aliases

arxiv: 2605.14556 · arxiv_version: 2605.14556v1 · doi: 10.48550/arxiv.2605.14556 · pith_short_12: 5GSN5WXG2IIJ · pith_short_16: 5GSN5WXG2IIJBXBY · pith_short_8: 5GSN5WXG

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/5GSN5WXG2IIJBXBYKSPTOHT5XD \
  | 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: e9a4dedae6d21090dc38549f371e7db8c7d590f43e8fecc3dbf5795978bbcb81

Canonical record JSON

{
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    "abstract_canon_sha256": "bcb3858fd36e5b8cf47e263dc582158f7296c958dcb2261a65c980892561013c",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-14T08:32:46Z",
    "title_canon_sha256": "65cec88aa89f114f9e29d79ad4e62cecbb2c9236303469a07f582338b8ab2558"
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}