Pith Number

pith:FFZB3QJC

pith:2024:FFZB3QJCXSHEQQ7V3A7SDOGZVH

not attested not anchored not stored refs pending

Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

Amy Wang, Avantika Lal, Aviv Regev, Chenyu Wang, Hanchen Wang, Masatoshi Uehara, Sergey Levine, Tommaso Biancalani, Tommi Jaakkola, Yichun He

arxiv:2410.13643 v2 · 2024-10-17 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{FFZB3QJCXSHEQQ7V3A7SDOGZVH}

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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

7 papers in Pith

Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models

Receipt and verification

First computed	2026-07-05T10:32:32.283520Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

29721dc122bc8e4843f5d83f21b8d9a9c58d904c216d54aaf5efb09ab01b052b

Aliases

arxiv: 2410.13643 · arxiv_version: 2410.13643v2 · doi: 10.48550/arxiv.2410.13643 · pith_short_12: FFZB3QJCXSHE · pith_short_16: FFZB3QJCXSHEQQ7V · pith_short_8: FFZB3QJC

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/FFZB3QJCXSHEQQ7V3A7SDOGZVH \
  | 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: 29721dc122bc8e4843f5d83f21b8d9a9c58d904c216d54aaf5efb09ab01b052b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ad551319283136edc28749f24a972e1489a7fde283d35d913b2a3e031d685031",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-10-17T15:10:13Z",
    "title_canon_sha256": "911fb6b18d30b5a3eb23eb7eaf0b84c08dda8287c486791d8e7f279896e53d31"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.13643",
    "kind": "arxiv",
    "version": 2
  }
}