Pith Number

pith:PMILS75C

pith:2025:PMILS75CYFC2UTLLCFIHDFWNYN

not attested not anchored not stored refs pending

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D

Abha Gejji, Ada Martin, Alexander Sax, Ang Cao, Aravind Rajeswaran, Arjun Majumdar, Ayush Jain, Daniel Dugas, Franziska Meier, Ishita Prasad, Krishna Murthy Jatavallabhula, Michael Rabbat, Mido Assran, Mikael Henaff, Mrinal Kalakrishnan, Nicolas Ballas, Oleksandr Maksymets, Paul Mcvay, Phillip Thomas, Ruslan Partsey, Sergio Arnaud, Vincent-Pierre Berges

arxiv:2504.14151 v1 · 2025-04-19 · cs.CV · cs.AI · cs.RO

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{PMILS75CYFC2UTLLCFIHDFWNYN}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

3 papers in Pith

Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors

Memory Over Maps: 3D Object Localization Without Reconstruction

RGB-Pointmap Pretraining for Unified 3D Scene Understanding

Receipt and verification

First computed	2026-07-05T10:51:11.780720Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7b10b97fa2c145aa4d6b11507196cdc343f183b025993a39aacdae34e54bd137

Aliases

arxiv: 2504.14151 · arxiv_version: 2504.14151v1 · doi: 10.48550/arxiv.2504.14151 · pith_short_12: PMILS75CYFC2 · pith_short_16: PMILS75CYFC2UTLL · pith_short_8: PMILS75C

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/PMILS75CYFC2UTLLCFIHDFWNYN \
  | 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: 7b10b97fa2c145aa4d6b11507196cdc343f183b025993a39aacdae34e54bd137

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "de6a0d522a94b13cc9340de29139f71dca9ec706cc293da53235e58ab264ffbe",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.RO"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-04-19T02:51:24Z",
    "title_canon_sha256": "cdc217fc6e7fdc84b8edc6a2063d6c830789e15b08e62e7ee3b06cdcb316889b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2504.14151",
    "kind": "arxiv",
    "version": 1
  }
}