Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:54:08.741821Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2607.15207.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:54:08.741821Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T14:03:33.722985Z
A source-named dated measurement, never combined with another source.
Source: cited_works
29 of 29 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9c6b2b50-bfc4-4413-b90d-e8dada714f86 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 1
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Observation 7a830f30-96b2-401c-a680-5513329b97a4 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Adversarial Patch
Reference 2
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Observation 07ac028c-e338-4836-868a-b040e6ea2da8 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models
Reference 3
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Observation 704a6d12-f902-457e-a2e9-4e938cbec8ed · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
Reference 4
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Observation 23fd879d-4808-4f01-ab78-e984f810d3db · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
Reference 5
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Observation 936b00dc-708d-4b04-b9c1-bc434c0fe611 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Reference 6
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Observation 7d2790f0-cea0-44b8-86a7-4d3b35122845 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Robust physical- world attacks on deep learning visual classification
Reference 7
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Observation 729c4187-e31e-4858-9cff-393992ebcfdf · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Adversarial policies: Attacking deep reinforcement learning
Reference 8
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Observation 40102415-2581-48c5-a43a-55ac822d0654 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Goodfellow, Jonathon Shlens, and Christian Szegedy
Reference 9
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Observation d047fb9b-b4c1-494a-b165-7dcb1991b594 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong When world models dream wrong: Physical- conditioned adversarial attacks against world models
Reference 10
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Observation 124fb0eb-ca38-47aa-b1da-3297d4c2e811 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Black-box adversarial attacks with limited queries and information
Reference 11
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Observation 220fe4b1-7681-4f30-9224-08474d676fed · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
Reference 12
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Observation 664a86fb-45b4-4eb2-aae1-beaefe8f83c6 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Openvla: An open-source vision-language-action model
Reference 13
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Observation 7a55bc63-dc6a-4d71-a358-489b1cdf89b2 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms
Reference 14
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Observation 8650e3e0-d415-4f3b-93c3-25fbda668a60 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Tactics of adversarial attack on deep reinforcement learning agents
Reference 15
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Observation 9020264d-d9f7-4470-af28-c5214c1162f9 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Libero: Benchmark- ing knowledge transfer for lifelong robot learning
Reference 16
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Observation 215dd80e-c2c5-4a43-9841-47f301e3344e · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong JailWAM: Jailbreaking World Action Models in Robot Control
Reference 17
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Observation 7773e270-6e37-496a-b85e-1ae067472721 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation
Reference 18
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Observation b0075053-6630-4fb0-a011-21c5774788fb · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Towards deep learning models resistant to adversarial attacks
Reference 19
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Observation 7c60412a-aad7-4a17-af41-fa6935ce2e3b · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio
Reference 20
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Observation 120ce30d-d141-461e-b9fe-267db4bcd8d5 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Bad- world: Adversarial attacks on world models.arXiv preprint arXiv:2606.16519, 2026
Reference 21
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Observation 7dae87d5-1d6d-4231-b8d2-a491871c7c9f · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong World Action Models: A Survey
Reference 22
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Observation ecf8802e-eaf6-40cc-9e85-3c2609f62d9e · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Unresolved cited work
Reference 23
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Observation 87e06168-3ff1-451b-88c3-9fbc034dfed1 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Intriguing properties of neural networks
Reference 24
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Observation fb08e0be-2535-4ac6-928a-bb8b2d156e0d · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation
Reference 25
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Observation 3b384579-cabd-40fe-a9f3-d0ed3a140903 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Adversarial risk and the dan- gers of evaluating against weak attacks
Reference 26
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Observation b13e7c91-d6fc-4469-9e38-880400347895 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Fast-WAM: Do World Action Models Need Test-time Future Imagination?
Reference 27
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Observation dbd8394c-fc4f-4923-b320-aeca5c4e385e · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
Reference 28
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Observation a8cab4ee-1f13-4bad-8c45-c32d59645bd1 · outbound
BadWAM: When World-Action Models Dream Right but Act Wrong Rt-2: Vision-language- action models transfer web knowledge to robotic control
Reference 29
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Observation 2d631332-b3c0-4781-bcb3-033d37630848 · inbound
Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation BadWAM: When World-Action Models Dream Right but Act Wrong
Reference 43
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