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Paper Citation Record · LEDGER

BadWAM: When World-Action Models Dream Right but Act Wrong

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.

pith.paper-citation-record.v1
2607.15207 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:54:08.741821Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T14:03:33.722985Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c6b2b50-bfc4-4413-b90d-e8dada714f86 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

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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source=pdf_text observed=2026-08-01T23:54:05.834374Z digest=sha256:cf712ffecbab75fbc7fbe3b9d21b4c0b607a7a3bcb43ca216e59d3a0f6b68eb9

Observation 7a830f30-96b2-401c-a680-5513329b97a4 · outbound

This paper cites Adversarial Patch.

BadWAM: When World-Action Models Dream Right but Act Wrong Adversarial Patch

Reference 2

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source=pdf_text observed=2026-08-01T23:54:05.961213Z digest=sha256:262f4097e3fcef5bd4ad6af4404d14f688f124c14332d008c9f7031cd8497d51

Observation 07ac028c-e338-4836-868a-b040e6ea2da8 · outbound

This paper cites Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models.

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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source=pdf_text observed=2026-08-01T23:54:06.090297Z digest=sha256:8b1f337495048c50f81a58d7974077ad8ebbd16a1dfa256f8d0b57e6b470f6a3

Observation 704a6d12-f902-457e-a2e9-4e938cbec8ed · outbound

This paper cites Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models.

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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source=pdf_text observed=2026-08-01T23:54:06.323960Z digest=sha256:12fb056e43c4e9aa31e0116955565d31142f43b735f9269465e253f5b910164e

Observation 23fd879d-4808-4f01-ab78-e984f810d3db · outbound

This paper cites ABot-M0.5: Unified Mobility-and-Manipulation World Action Model.

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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source=pdf_text observed=2026-08-01T23:54:06.405765Z digest=sha256:58fdfb302bb9a41a8412730b86d2feac02dfe682dd803fc4db960692c11666fe

Observation 936b00dc-708d-4b04-b9c1-bc434c0fe611 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

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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source=pdf_text observed=2026-08-01T23:54:06.525413Z digest=sha256:79895c06bf118905433aeddeb5be0d490356d28aeb9f7c755e84126486c38860

Observation 7d2790f0-cea0-44b8-86a7-4d3b35122845 · outbound

This paper cites Robust physical- world attacks on deep learning visual classification.

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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source=pdf_text observed=2026-08-01T23:54:06.608658Z digest=sha256:72c0540b64593c7735afcaaad8c94f555396436d9488437244201c827a18455a

Observation 729c4187-e31e-4858-9cff-393992ebcfdf · outbound

This paper cites Adversarial policies: Attacking deep reinforcement learning.

BadWAM: When World-Action Models Dream Right but Act Wrong Adversarial policies: Attacking deep reinforcement learning

Reference 8

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source=pdf_text observed=2026-08-01T23:54:06.685032Z digest=sha256:dba42c5ca9aa802242ac13c03290787b7b49c60b29f1aeaa86291d1af737c1bb

Observation 40102415-2581-48c5-a43a-55ac822d0654 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

BadWAM: When World-Action Models Dream Right but Act Wrong Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 9

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source=pdf_text observed=2026-08-01T23:54:06.792867Z digest=sha256:c397fd2671d318ff079c80acf26643100a6f6e138fa927e4110a556e98cd96ea

Observation d047fb9b-b4c1-494a-b165-7dcb1991b594 · outbound

This paper cites When world models dream wrong: Physical- conditioned adversarial attacks against world models.

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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source=pdf_text observed=2026-08-01T23:54:06.918618Z digest=sha256:85823b7978fc9b9b7e33e7a7e662462345b684c0e42e7b9bb6979fc53f4a1325

Observation 124fb0eb-ca38-47aa-b1da-3297d4c2e811 · outbound

This paper cites Black-box adversarial attacks with limited queries and information.

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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source=pdf_text observed=2026-08-01T23:54:07.005051Z digest=sha256:30e8bcd6541c979234286b687bc615e0711e90500ddff189c2eaf150e379d90c

Observation 220fe4b1-7681-4f30-9224-08474d676fed · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

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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source=pdf_text observed=2026-08-01T23:54:07.073670Z digest=sha256:a251e385f2c63c25d613b04a3919dca278bdd53881d51a49961914fa02ed998f

Observation 664a86fb-45b4-4eb2-aae1-beaefe8f83c6 · outbound

This paper cites Openvla: An open-source vision-language-action model.

BadWAM: When World-Action Models Dream Right but Act Wrong Openvla: An open-source vision-language-action model

Reference 13

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source=pdf_text observed=2026-08-01T23:54:07.190897Z digest=sha256:94ec0fec0bf772ebb87f19a52683e0e18a6f12f4baba566306f04547ace44cd0

Observation 7a55bc63-dc6a-4d71-a358-489b1cdf89b2 · outbound

This paper cites Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms.

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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source=pdf_text observed=2026-08-01T23:54:07.236169Z digest=sha256:98a84a6a2a94ec00488516c5e3db25c3e3d00f6f169db5709fec6f472099fe21

Observation 8650e3e0-d415-4f3b-93c3-25fbda668a60 · outbound

This paper cites Tactics of adversarial attack on deep reinforcement learning agents.

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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source=pdf_text observed=2026-08-01T23:54:07.338559Z digest=sha256:ba526ce684313eb902cefa7dd22105f5f43f437dd7f147c029852d033774827a

Observation 9020264d-d9f7-4470-af28-c5214c1162f9 · outbound

This paper cites Libero: Benchmark- ing knowledge transfer for lifelong robot learning.

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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source=pdf_text observed=2026-08-01T23:54:07.464650Z digest=sha256:29ea60c71b21fd57e3e80edd70fdd829dfdaf83bcba7293d48ec6eb8fbdd924d

Observation 215dd80e-c2c5-4a43-9841-47f301e3344e · outbound

This paper cites JailWAM: Jailbreaking World Action Models in Robot Control.

BadWAM: When World-Action Models Dream Right but Act Wrong JailWAM: Jailbreaking World Action Models in Robot Control

Reference 17

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source=pdf_text observed=2026-08-01T23:54:07.545845Z digest=sha256:41ee55159142e507d87759e78413b226893f068b20a3f3b7f54c4a4ccd0a9e7a

Observation 7773e270-6e37-496a-b85e-1ae067472721 · outbound

This paper cites OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation.

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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source=pdf_text observed=2026-08-01T23:54:07.630146Z digest=sha256:e16b63a061ba6a146a6b2fbe8382dcf5f05b4e2f3869a704627fe27779320499

Observation b0075053-6630-4fb0-a011-21c5774788fb · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

BadWAM: When World-Action Models Dream Right but Act Wrong Towards deep learning models resistant to adversarial attacks

Reference 19

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source=pdf_text observed=2026-08-01T23:54:07.731265Z digest=sha256:8396bf4f095e1eb76674e2e7bcf93891e8a6d2fbce1bebd922e00a659f423e0d

Observation 7c60412a-aad7-4a17-af41-fa6935ce2e3b · outbound

This paper cites Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio.

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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source=pdf_text observed=2026-08-01T23:54:07.846961Z digest=sha256:6fedda4b09e4076249adcee4e331590230f723e9c3a14843fc8d565b761423f2

Observation 120ce30d-d141-461e-b9fe-267db4bcd8d5 · outbound

This paper cites Bad- world: Adversarial attacks on world models.arXiv preprint arXiv:2606.16519, 2026.

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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source=pdf_text observed=2026-08-01T23:54:07.980674Z digest=sha256:ea47d8f5e460df81800b75ddfd2e751350465de701e65d9d49615a7d71be7732

Observation 7dae87d5-1d6d-4231-b8d2-a491871c7c9f · outbound

This paper cites World Action Models: A Survey.

BadWAM: When World-Action Models Dream Right but Act Wrong World Action Models: A Survey

Reference 22

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source=pdf_text observed=2026-08-01T23:54:08.108750Z digest=sha256:67fc690c1d096ae555c2f7b3a61329d5101a08a8f157e312d947822a5060fa84

Observation ecf8802e-eaf6-40cc-9e85-3c2609f62d9e · outbound

This paper cites an unresolved cited work.

BadWAM: When World-Action Models Dream Right but Act Wrong Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T23:54:08.241696Z digest=sha256:49d75ee02f4e3013ee936d078e687a2bdcea0eb5dd4d789ba538f4df314dd71b

Observation 87e06168-3ff1-451b-88c3-9fbc034dfed1 · outbound

This paper cites Intriguing properties of neural networks.

BadWAM: When World-Action Models Dream Right but Act Wrong Intriguing properties of neural networks

Reference 24

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source=pdf_text observed=2026-08-01T23:54:08.339937Z digest=sha256:464a06d1d060dc580a1f84be24bbf03ab8b304d25dc93200f7f2a6f2dff882c3

Observation fb08e0be-2535-4ac6-928a-bb8b2d156e0d · outbound

This paper cites VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation.

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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source=pdf_text observed=2026-08-01T23:54:08.425855Z digest=sha256:822f5d358a63b08b5104e52ccaf0fffeb1721de673a48b07c0827dce5e03509b

Observation 3b384579-cabd-40fe-a9f3-d0ed3a140903 · outbound

This paper cites Adversarial risk and the dan- gers of evaluating against weak attacks.

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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source=pdf_text observed=2026-08-01T23:54:08.517963Z digest=sha256:77f28b05a425f99f98737c1e85d2182c001ceee0dffecf010814ec6e65214105

Observation b13e7c91-d6fc-4469-9e38-880400347895 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

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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source=pdf_text observed=2026-08-01T23:54:08.605153Z digest=sha256:087e2faa1ebf5ec0a8524f6053938d9dc12dcf14846e19561d35564a4091d3b5

Observation dbd8394c-fc4f-4923-b320-aeca5c4e385e · outbound

This paper cites VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation.

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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source=pdf_text observed=2026-08-01T23:54:08.682859Z digest=sha256:6ffa8e599feaa957349f556d32cdcfd4d11b92b1b755662ae8f451689112b4da

Observation a8cab4ee-1f13-4bad-8c45-c32d59645bd1 · outbound

This paper cites Rt-2: Vision-language- action models transfer web knowledge to robotic control.

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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source=pdf_text observed=2026-08-01T23:54:08.741821Z digest=sha256:90a1f29f64712335bfe392fb763f3ed09cfb13a2d503d4e31899efa90c6c9eda

Pith citing papers

Observation 2d631332-b3c0-4781-bcb3-033d37630848 · inbound

Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation cites this paper.

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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source=pdf_text observed=2026-07-31T14:03:33.722985Z digest=sha256:fc005b0281566c35c4ad87143e765d5e6b91a671a7d238adfd35a32cf056c8e0