Pith Number

pith:M6UMHDOJ

pith:2024:M6UMHDOJFLC3SEFNS5Z5JJ5TF6

not attested not anchored not stored refs pending

ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Fangfu Liu, Hanyang Wang, Haowen Sun, Junliang Ye, Jun Zhang, Wenqiang Sun, Yikai Wang, Yueqi Duan

arxiv:2408.16767 v4 · 2024-08-29 · cs.CV · cs.AI · cs.GR

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{M6UMHDOJFLC3SEFNS5Z5JJ5TF6}

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

14 papers in Pith

PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space

PanoImager: Geometry-Guided Novel View Synthesis and Reconstruction from Sparse Panoramic Views

Retrieve What's Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation

Walking in the Implicit: Interactive World Exploration via Neural Scene Representation

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion

Receipt and verification

First computed	2026-07-05T11:26:43.630122Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

67a8c38dc92ac5b910ad9773d4a7b32f81ed94515577d73b16e2943adb3f90c7

Aliases

arxiv: 2408.16767 · arxiv_version: 2408.16767v4 · doi: 10.48550/arxiv.2408.16767 · pith_short_12: M6UMHDOJFLC3 · pith_short_16: M6UMHDOJFLC3SEFN · pith_short_8: M6UMHDOJ

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/M6UMHDOJFLC3SEFNS5Z5JJ5TF6 \
  | 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: 67a8c38dc92ac5b910ad9773d4a7b32f81ed94515577d73b16e2943adb3f90c7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "51887587751f455cc778b2a50034787161cf388a11fb18113d2a7215bee7eacb",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.GR"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-08-29T17:59:40Z",
    "title_canon_sha256": "f9daba09b1ec547c4ca92e6d4db297b37a29d1eed9790cc49b577f459391f4bf"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2408.16767",
    "kind": "arxiv",
    "version": 4
  }
}