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pith:WHTEK4GB

pith:2026:WHTEK4GBH2P6Q2UYQ6LXTQKO5I
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MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction

Jinguo Xian, Wenchang Duan, Yi Shi, Zhenguo Gao

Reinforcement learning lets a compressed student model surpass its teacher in multi-agent trajectory prediction.

arxiv:2604.10169 v2 · 2026-04-11 · cs.AI · cs.LG

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\pithnumber{WHTEK4GBH2P6Q2UYQ6LXTQKO5I}

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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.

Claims

C1strongest claim

the framework incorporates reinforcement learning to overcome the imitation ceiling of traditional distillation, enabling the student to verify, refine, and optimize teacher knowledge through dynamic environmental interaction, potentially achieving more robust decision-making than the teacher itself.

C2weakest assumption

That reinforcement learning via environmental interaction will allow the student to surpass the teacher's decision quality in real multi-agent scenarios without introducing instability, reward hacking, or extra latency that violates real-time constraints.

C3one line summary

MAVEN-T uses a hybrid-attention teacher, efficient student, multi-granular distillation with curriculum learning, and reinforcement learning to achieve 6.2x model compression and 3.7x faster inference while matching state-of-the-art accuracy on NGSIM and highD datasets.

Receipt and verification
First computed 2026-06-02T01:04:16.246451Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b1e64570c13e9fe86a98879779c14eea295e54f3d7751e6bfa141a8992dea414

Aliases

arxiv: 2604.10169 · arxiv_version: 2604.10169v2 · doi: 10.48550/arxiv.2604.10169 · pith_short_12: WHTEK4GBH2P6 · pith_short_16: WHTEK4GBH2P6Q2UY · pith_short_8: WHTEK4GB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WHTEK4GBH2P6Q2UYQ6LXTQKO5I \
  | 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: b1e64570c13e9fe86a98879779c14eea295e54f3d7751e6bfa141a8992dea414
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9ca3d6842cc9a7d5a8b0f7600cbeacf7f7fe62d65383ebc641c156ebbb312dff",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-11T11:34:13Z",
    "title_canon_sha256": "8184cad1d30ed10c53854f8735cbeeeb66b370c0a801bf27fe29f95499f47640"
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