Pith Number

pith:PENECDHD

pith:2024:PENECDHD36MV2AT4IECJJSOXZ3

not attested not anchored not stored refs pending

Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Qiong Wu, Rongrong Ji, Weihao Ye, Wenhao Lin, Xiaoshuai Sun, Yiyi Zhou, Zhanpeng Zen

arxiv:2411.19628 v2 · 2024-11-29 · cs.CV · cs.CL · cs.LG · 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{PENECDHD36MV2AT4IECJJSOXZ3}

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

4 papers in Pith

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling

Counting to Four is still a Chore for VLMs

Receipt and verification

First computed	2026-07-05T11:43:08.458826Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

791a410ce3df995d027c410494c9d7ced4ce7f16be2dc6d8c8327d63e23a90f3

Aliases

arxiv: 2411.19628 · arxiv_version: 2411.19628v2 · doi: 10.48550/arxiv.2411.19628 · pith_short_12: PENECDHD36MV · pith_short_16: PENECDHD36MV2AT4 · pith_short_8: PENECDHD

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/PENECDHD36MV2AT4IECJJSOXZ3 \
  | 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: 791a410ce3df995d027c410494c9d7ced4ce7f16be2dc6d8c8327d63e23a90f3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "97b92615bccfbc075b49228e35e6161b0d0e4422990e703fda0b215f4f4b768e",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.LG",
      "cs.MM"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-11-29T11:24:23Z",
    "title_canon_sha256": "369ecff8406ad1b805def7869ffd7a0e78537afe68d8a528b5ce1fbef90f084a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2411.19628",
    "kind": "arxiv",
    "version": 2
  }
}