Pith Number

pith:YL4X2YJM

pith:2025:YL4X2YJMG6YFVKUQQOG4W2MMYF

not attested not anchored not stored refs pending

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review

Aviv Regev, Chenyu Wang, Masatoshi Uehara, Sergey Levine, Tommaso Biancalani, Xiner Li, Yulai Zhao

arxiv:2501.09685 v2 · 2025-01-16 · cs.AI · cs.LG · q-bio.QM · stat.ML

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YL4X2YJMG6YFVKUQQOG4W2MMYF}

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

23 papers in Pith

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules

Few-step Cofolding with All-Atom Flow Maps

Are we really tilting? The mechanics of reward guidance in flow and diffusion models

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement

Receipt and verification

First computed	2026-07-05T10:02:58.860459Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c2f97d612c37b05aaa90838dcb698cc15346d0e0be6a50bccad7ae8f1e1951dd

Aliases

arxiv: 2501.09685 · arxiv_version: 2501.09685v2 · doi: 10.48550/arxiv.2501.09685 · pith_short_12: YL4X2YJMG6YF · pith_short_16: YL4X2YJMG6YFVKUQ · pith_short_8: YL4X2YJM

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/YL4X2YJMG6YFVKUQQOG4W2MMYF \
  | 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: c2f97d612c37b05aaa90838dcb698cc15346d0e0be6a50bccad7ae8f1e1951dd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fd16a8c5ec247156c6bd48640671f1df1f9b875dd147599446bdf1b160d32931",
    "cross_cats_sorted": [
      "cs.LG",
      "q-bio.QM",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-01-16T17:37:35Z",
    "title_canon_sha256": "d723f75af1ab3cd56aea760ee7ce313f7df7bfc99ab56def971980dcda36bf2b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.09685",
    "kind": "arxiv",
    "version": 2
  }
}