Pith Number

pith:OD4FY62L

pith:2023:OD4FY62L6D63QBLRUQBMYZWOPZ

not attested not anchored not stored refs pending

Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

Annan Wang, Chaofeng Chen, Chunyi Li, Erli Zhang, Geng Xue, Guangtao Zhai, Haoning Wu, Jingwen Hou, Kaixin Xu, Liang Liao, Qiong Yan, Weisi Lin, Wenxiu Sun, Zicheng Zhang

arxiv:2311.06783 v1 · 2023-11-12 · cs.CV · cs.MM

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OD4FY62L6D63QBLRUQBMYZWOPZ}

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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

5 papers in Pith

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding

SR-Ground: Image Quality Grounding for Super-Resolved Content

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Receipt and verification

First computed	2026-07-05T07:12:03.616795Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

70f85c7b4bf0fdb80571a402cc66ce7e406e2bb9d0d14b28e2aea9a5e019940f

Aliases

arxiv: 2311.06783 · arxiv_version: 2311.06783v1 · doi: 10.48550/arxiv.2311.06783 · pith_short_12: OD4FY62L6D63 · pith_short_16: OD4FY62L6D63QBLR · pith_short_8: OD4FY62L

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/OD4FY62L6D63QBLRUQBMYZWOPZ \
  | 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: 70f85c7b4bf0fdb80571a402cc66ce7e406e2bb9d0d14b28e2aea9a5e019940f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a4c01c1b87f2f2d3c69c31e3d17cdf1524044ea1b4a35d4a71a257c175462dad",
    "cross_cats_sorted": [
      "cs.MM"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-11-12T09:10:51Z",
    "title_canon_sha256": "d84d8f19e92803daa1bf5984fca4d97168685e52161ad86550b23328ccf422e9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2311.06783",
    "kind": "arxiv",
    "version": 1
  }
}