Pith Number

pith:WALQQLTT

pith:2025:WALQQLTTMS32TDVZBVXWSASQ4M

not attested not anchored not stored refs pending

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity

Aixin Sun, Naitong Yu, Xiang Li, Xin Jiang, Xuezhi Fang, Yequan Wang, Yiqun Yao

arxiv:2506.01934 v1 · 2025-06-02 · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{WALQQLTTMS32TDVZBVXWSASQ4M}

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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.

Cited by

1 paper in Pith

Do Audio-Visual Large Language Models Really See and Hear?

Receipt and verification

First computed	2026-07-05T11:14:21.605870Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b017082e7364b7a98eb90d6f690250e3158717277422206c16294a28357355cb

Aliases

arxiv: 2506.01934 · arxiv_version: 2506.01934v1 · doi: 10.48550/arxiv.2506.01934 · pith_short_12: WALQQLTTMS32 · pith_short_16: WALQQLTTMS32TDVZ · pith_short_8: WALQQLTT

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/WALQQLTTMS32TDVZBVXWSASQ4M \
  | 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: b017082e7364b7a98eb90d6f690250e3158717277422206c16294a28357355cb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4f65fd91c8105f2cf390e256145345b527f5546483b671bc1dbcff108ecfbbe5",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-06-02T17:53:10Z",
    "title_canon_sha256": "e3b17145fccb5337f584696a2f58c0142575128ab40e07bf036d78c443930ad9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.01934",
    "kind": "arxiv",
    "version": 1
  }
}