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pith:WAPKHKF7

pith:2026:WAPKHKF7MCSPGMKSHIMEC65BCP
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Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation

Dongman Lee, Qing Yin, Tianhao Chen, Xiangbo Gao, Xinghao Chen, Yuheng Wu, Zhengzhong Tu

Delta Forcing constrains unreliable teacher guidance in autoregressive video models using an adaptive trust region estimated from latent trajectory deltas, reducing drift while keeping reactivity to new events.

arxiv:2605.14382 v1 · 2026-05-14 · cs.CV · cs.GR · cs.MM

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\pithnumber{WAPKHKF7MCSPGMKSHIMEC65BCP}

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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
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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.

Claims

C1strongest claim

Delta Forcing significantly improves consistency while maintaining event reactivity by constraining unreliable teacher supervision within an adaptive trust region estimated from latent deltas.

C2weakest assumption

That the latent delta between teacher and generator trajectories provides a reliable estimate of transition consistency that can be used to define a safe trust region without introducing new instabilities.

C3one line summary

Delta Forcing uses latent trajectory deltas to adaptively limit unreliable teacher guidance while enforcing monotonic continuity, improving temporal consistency in interactive autoregressive video generation.

References

51 extracted · 51 resolved · 14 Pith anchors

[1] Wan: Open and Advanced Large-Scale Video Generative Models 2025 · arXiv:2503.20314
[2] HunyuanVideo 1.5 Technical Report 2025 · arXiv:2511.18870
[3] LTX-Video: Realtime Video Latent Diffusion 2024 · arXiv:2501.00103
[4] Seedance 2.0: Advancing Video Generation for World Complexity 2026 · arXiv:2604.14148
[5] Kling-Omni Technical Report 2025 · arXiv:2512.16776
Receipt and verification
First computed 2026-05-17T23:39:07.710633Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b01ea3a8bf60a4f331523a18417ba113cecbc633bfc7ec9319134f8d56f4430f

Aliases

arxiv: 2605.14382 · arxiv_version: 2605.14382v1 · doi: 10.48550/arxiv.2605.14382 · pith_short_12: WAPKHKF7MCSP · pith_short_16: WAPKHKF7MCSPGMKS · pith_short_8: WAPKHKF7
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WAPKHKF7MCSPGMKSHIMEC65BCP \
  | 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: b01ea3a8bf60a4f331523a18417ba113cecbc633bfc7ec9319134f8d56f4430f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "566136a614ce0ac7089db73be8da792d8d84bfac0f481df1d1b6abd5f5dcf074",
    "cross_cats_sorted": [
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      "cs.MM"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T05:06:57Z",
    "title_canon_sha256": "a5d40cd04c5e9c669b34bd3ed0a969058ccd1ba408f12d2c1f5e36178a579668"
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  "source": {
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    "kind": "arxiv",
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}