Pith Number

pith:FFRRDCRE

pith:2025:FFRRDCREJJUZRFZ6YU4U2AJ4QL

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Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Jiale Xu, Kunhao Liu, Shijian Lu, Wenbo Hu, Ying Shan

Rolling Forcing generates multi-minute streaming videos in real time by jointly denoising frames with rising noise levels and anchoring attention to early frames.

arxiv:2509.25161 v1 · 2025-09-29 · cs.CV

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Claims

C1strongest claim

Rolling Forcing enables real-time streaming generation of multi-minute videos on a single GPU, with substantially reduced error accumulation.

C2weakest assumption

The joint denoising scheme with progressively increasing noise levels, combined with the attention sink and windowed distillation, actually suppresses error accumulation over long horizons without introducing new quality degradations or artifacts.

C3one line summary

Rolling Forcing generates multi-minute videos in real time by jointly denoising frames at increasing noise levels, anchoring attention to early frames, and using windowed distillation to limit error accumulation.

References

75 extracted · 75 resolved · 19 Pith anchors

[3] Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

[6] Proceedings of the IEEE/CVF international conference on computer vision , pages=

[7] European Conference on Computer Vision , pages= 2024

[12] Forty-first International Conference on Machine Learning , year=

[17] Advances in Neural Information Processing Systems , volume=

Formal links

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Cited by

32 papers in Pith

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

WorldKV: Efficient World Memory with World Retrieval and Compression

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation

FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching

Receipt and verification

First computed	2026-05-17T23:38:48.060007Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2963118a244a6998973ec5394d013c82fc48caa433ff7c86e5a5c88267c61114

Aliases

arxiv: 2509.25161 · arxiv_version: 2509.25161v1 · doi: 10.48550/arxiv.2509.25161 · pith_short_12: FFRRDCREJJUZ · pith_short_16: FFRRDCREJJUZRFZ6 · pith_short_8: FFRRDCRE

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FFRRDCREJJUZRFZ6YU4U2AJ4QL \
  | 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: 2963118a244a6998973ec5394d013c82fc48caa433ff7c86e5a5c88267c61114

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e9032be0502e0ad2c4660053ff4a97c0fd3efa9a39acfe770bf1e3d6be8248e4",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-09-29T17:57:14Z",
    "title_canon_sha256": "565c311a9827024869ebe4ced78d9f391852fb878c898d69dc5a436fc70301aa"
  },
  "schema_version": "1.0",
  "source": {
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    "kind": "arxiv",
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}