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Paper Citation Record · LEDGER

A Survey on the Verification of Reinforcement Learning Policies

As of 9 August 2026, this Paper Citation Record lists 100 of 175 outbound references and 0 inbound Pith citation observations for arXiv:2607.16210.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.16210 v1

Coverage vector

measured 100 of 175 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:02:55.681719Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 175 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 775c723e-81df-435e-9866-72cca0146453 · outbound

This paper cites Verifying Global Two-Safety Properties in Neural Networks with Confidence , booktitle =.

A Survey on the Verification of Reinforcement Learning Policies Verifying Global Two-Safety Properties in Neural Networks with Confidence , booktitle =

Reference 1

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source=arxiv_source observed=2026-08-02T14:02:54.128461Z digest=sha256:15fd0ce06583ccf0f2c764575d3a974ca3ffb073ae2b5bdbee63ae365b7a6a67

Observation 85c72701-09a1-497c-9a34-3c711073e0cd · outbound

This paper cites Formal Methods for ML-Enabled Autonomous Systems , year=.

A Survey on the Verification of Reinforcement Learning Policies Formal Methods for ML-Enabled Autonomous Systems , year=

Reference 2

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source=arxiv_source observed=2026-08-02T14:02:54.199809Z digest=sha256:4099bc50fc7a92d2db034ff3cdc30e36259c9ea4fe04f5576f465daea645423a

Observation 38092ef7-facd-412c-a791-b75d191a54fc · outbound

This paper cites International Journal on Software Tools for Technology Transfer , pages=.

A Survey on the Verification of Reinforcement Learning Policies International Journal on Software Tools for Technology Transfer , pages=

Reference 4

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source=arxiv_source observed=2026-08-02T14:02:54.282110Z digest=sha256:a5c34e767eec97f9b31891584770c25495d73ff638431a7fd787a91cc2a0ff3e

Observation 0eef7a90-2eeb-41ea-bfa3-cd892fd27f5f · outbound

This paper cites CAV , pages=.

A Survey on the Verification of Reinforcement Learning Policies CAV , pages=

Reference 5

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source=arxiv_source observed=2026-08-02T14:02:54.293450Z digest=sha256:47b44410b02a21eee7f29c10acb26d67d745fbd75de58e43eaac211401101c3b

Observation 1e6f262d-a70b-4e84-a067-704f1e9c9a91 · outbound

This paper cites Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound.

A Survey on the Verification of Reinforcement Learning Policies Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound

Reference 6

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source=arxiv_source observed=2026-08-02T14:02:54.347830Z digest=sha256:85fa9ca0d554523e3ea4ebeea0719af4636a9611db231429c979b74aab9dad6f

Observation cf3191d2-145e-43de-ba28-919abe31674d · outbound

This paper cites International Conference on Formal Modeling and Analysis of Timed Systems , pages=.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Formal Modeling and Analysis of Timed Systems , pages=

Reference 7

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source=arxiv_source observed=2026-08-02T14:02:54.361856Z digest=sha256:4d2aaa2017714275cfa586a0d5cdf31d1c1f7636655563b01b793451256a6c76

Observation 64367a46-990d-4857-a652-015a21c6245b · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-02T14:02:54.364678Z digest=sha256:84c4ef6821aea3085add7d1b3ff34aebd2f49351825fc6b713f57b4d931f35af

Observation 7bb573b5-6643-417e-b9ad-77a43ecbd849 · outbound

This paper cites Proceedings of the ACM on Programming Languages , volume=.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the ACM on Programming Languages , volume=

Reference 9

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source=arxiv_source observed=2026-08-02T14:02:54.367725Z digest=sha256:5ce63955f4afd61504c48a8a083736ce9416ca4d6f69775615f2c538dfbb02cb

Observation 4c8dee03-651c-49ab-83f5-b4c7c47d6e29 · outbound

This paper cites The Probabilistic Termination Tool Amber , booktitle =.

A Survey on the Verification of Reinforcement Learning Policies The Probabilistic Termination Tool Amber , booktitle =

Reference 10

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source=arxiv_source observed=2026-08-02T14:02:54.370534Z digest=sha256:60314535f3c5c930885590fdc0967af432f5cd9c73d175393185725a74ccf1e9

Observation 958ffb89-fe6a-43a9-8fad-d467ce980f40 · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-02T14:02:54.376144Z digest=sha256:575c9e3bf3d394f65c33a556ea9ae4fa84dd6d6426aca2f9f7ad7b85df1f01b7

Observation f4ce62e7-ab40-44ad-aead-6a280367398e · outbound

This paper cites Lopez-Miguel and Sebastian Adam and Ezio Bartocci and Thomas Eiter and Martin Tappler , title =.

A Survey on the Verification of Reinforcement Learning Policies Lopez-Miguel and Sebastian Adam and Ezio Bartocci and Thomas Eiter and Martin Tappler , title =

Reference 12

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source=arxiv_source observed=2026-08-02T14:02:54.381104Z digest=sha256:8c4b1876505f577e723d869ca51fbc95affbf44f59c72182b6ba68560de48a5f

Observation b47aa3c9-f381-4bbf-83d4-92dca484ff46 · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,

Reference 13

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Observation 7f57d7da-d093-4a36-b05b-081710e97866 · outbound

This paper cites Yun and Peizhi Niu and Xusheng Luo and Changliu Liu , title =.

A Survey on the Verification of Reinforcement Learning Policies Yun and Peizhi Niu and Xusheng Luo and Changliu Liu , title =

Reference 14

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source=arxiv_source observed=2026-08-02T14:02:54.391796Z digest=sha256:72c015ff322cb126cf6d9db5163917f546d783fc3781693bcf0453b03fdd7ddf

Observation 9ede5dc4-2df1-4be3-b639-0107d5c401d6 · outbound

This paper cites Donti and Changliu Liu and Enrico Marchesini , title =.

A Survey on the Verification of Reinforcement Learning Policies Donti and Changliu Liu and Enrico Marchesini , title =

Reference 15

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Observation 757218a8-9bd6-4894-be10-ae47ad59f567 · outbound

This paper cites Concrete Problems in AI Safety.

A Survey on the Verification of Reinforcement Learning Policies Concrete Problems in AI Safety

Reference 16

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source=arxiv_source observed=2026-08-02T14:02:54.401533Z digest=sha256:570d783de5235806d1541b7fddca912cfd075cb787639e2ef4aabff0604c5d32

Observation 9dab8827-1a78-475e-89e7-6d97a7009439 · outbound

This paper cites Conference on Artificial Intelligence,.

A Survey on the Verification of Reinforcement Learning Policies Conference on Artificial Intelligence,

Reference 17

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Observation 8b3a9b81-2009-4079-afdd-bdd487d30815 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 18

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Observation 0293e842-18c7-4ef1-9bc8-9509c7927d28 · outbound

This paper cites 2024 , url =.

A Survey on the Verification of Reinforcement Learning Policies 2024 , url =

Reference 19

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Observation abf9afab-3eda-4290-b432-6c1bf519ada3 · outbound

This paper cites Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems,.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems,

Reference 20

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Observation ae1e88b9-290e-4cdc-b5c0-463a1e67bd57 · outbound

This paper cites 2023 , url =.

A Survey on the Verification of Reinforcement Learning Policies 2023 , url =

Reference 21

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Observation 7bd54849-0944-40de-af52-7d1d4e809b51 · outbound

This paper cites 2025 , booktitle =.

A Survey on the Verification of Reinforcement Learning Policies 2025 , booktitle =

Reference 22

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Observation 8bea831f-7f75-4af5-8c7f-683077cf1fc9 · outbound

This paper cites IJCAI , pages =.

A Survey on the Verification of Reinforcement Learning Policies IJCAI , pages =

Reference 23

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source=arxiv_source observed=2026-08-02T14:02:54.439294Z digest=sha256:ac416682f918e4ce59155fbd533bac595bbacb68495c7b05f418a333247a51f6

Observation a3eecd15-44ef-4e1b-92a4-31a0a39a10c4 · outbound

This paper cites 2023 , url =.

A Survey on the Verification of Reinforcement Learning Policies 2023 , url =

Reference 24

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Observation f1cf0f00-b126-4987-96fd-5617fa5e2a0d · outbound

This paper cites Tools and Algorithms for the Construction and Analysis of Systems.

A Survey on the Verification of Reinforcement Learning Policies Tools and Algorithms for the Construction and Analysis of Systems

Reference 25

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Observation f39dad8d-0c24-4f33-88c1-ed9716e2c576 · outbound

This paper cites International Conference on Machine Learning , year =.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Machine Learning , year =

Reference 26

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Observation 920f6f33-e92e-4d12-9f1d-4e44554fc2d7 · outbound

This paper cites 2022 , url =.

A Survey on the Verification of Reinforcement Learning Policies 2022 , url =

Reference 27

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Observation e258d0de-3275-459f-9d64-e861479af162 · outbound

This paper cites Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks , booktitle =.

A Survey on the Verification of Reinforcement Learning Policies Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks , booktitle =

Reference 28

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Observation 2acdd3e2-153b-41a6-8227-d6a02052b44d · outbound

This paper cites International Conference on Computer Aided Verification , year=.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Computer Aided Verification , year=

Reference 29

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Observation 83a91d41-b1b1-4948-bfee-ec2db7a21f3a · outbound

This paper cites 2021 , isbn =.

A Survey on the Verification of Reinforcement Learning Policies 2021 , isbn =

Reference 30

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Observation f4ac6ec9-5ed6-4252-88f8-b345a5bf2a9d · outbound

This paper cites CAV , pages=.

A Survey on the Verification of Reinforcement Learning Policies CAV , pages=

Reference 31

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Observation 096f35b5-1885-49dd-8e38-87438550458a · outbound

This paper cites 2024 , eprint=.

A Survey on the Verification of Reinforcement Learning Policies 2024 , eprint=

Reference 32

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Observation 41b728e9-918d-4a99-926d-63c45eba8c66 · outbound

This paper cites Neural Network Verification with PyRAT.

A Survey on the Verification of Reinforcement Learning Policies Neural Network Verification with PyRAT

Reference 33

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Observation 563b9d86-8252-479d-9e67-d93dd5c64cbc · outbound

This paper cites International Conference on Formal Modeling and Analysis of Timed Systems , pages=.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Formal Modeling and Analysis of Timed Systems , pages=

Reference 34

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Observation 81196328-c092-49ac-8171-98b7a99d1f46 · outbound

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A Survey on the Verification of Reinforcement Learning Policies HSCC , year=

Reference 35

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Observation 297d5b24-c32b-4458-9d35-c926bd4ebdca · outbound

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A Survey on the Verification of Reinforcement Learning Policies FMAS , year=

Reference 36

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Observation 3436bda5-114e-437d-9a12-206eada7a556 · outbound

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A Survey on the Verification of Reinforcement Learning Policies CCS , year=

Reference 37

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Observation e7f8e6dc-42be-4a03-b9bc-2a166314f0a2 · outbound

This paper cites Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control , pages=.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control , pages=

Reference 38

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Observation abb7a3f9-abc2-435a-adc6-400aa85f9f22 · outbound

This paper cites CAV , year=.

A Survey on the Verification of Reinforcement Learning Policies CAV , year=

Reference 39

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source=arxiv_source observed=2026-08-02T14:02:54.521862Z digest=sha256:9a85e12a541c629fb6eb36804435c9dd2ff7078617155b55e450d528d471313a

Observation d0a931f4-e53b-4e4b-bd22-4ffa4c0eaad4 · outbound

This paper cites IJCAI , year=.

A Survey on the Verification of Reinforcement Learning Policies IJCAI , year=

Reference 40

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Observation f6ec1425-faf6-41b0-9069-e6d53b3a2a52 · outbound

This paper cites NeurIPS , year=.

A Survey on the Verification of Reinforcement Learning Policies NeurIPS , year=

Reference 41

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no resolver link, observed 2026-08-02T14:02:54.532408Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.532408Z digest=sha256:42faa6c62c6a869adb9274fadde29c2dcdc51c101668c27d9dee78ce7f026b70

Observation 5230a4ec-394c-4ba2-9386-9a9cc401d060 · outbound

This paper cites NFM , year=.

A Survey on the Verification of Reinforcement Learning Policies NFM , year=

Reference 42

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source=arxiv_source observed=2026-08-02T14:02:54.536543Z digest=sha256:bb79ed77b60f04692cc8908d8de382c4ecba33e6f58597b165fe8a60622da1e7

Observation 4ab8e62a-0713-49ec-9133-efd3e05a3666 · outbound

This paper cites arXiv preprint arXiv:2401.XXXX , year=.

A Survey on the Verification of Reinforcement Learning Policies arXiv preprint arXiv:2401.XXXX , year=

Reference 43

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source=arxiv_source observed=2026-08-02T14:02:54.542073Z digest=sha256:4418f87871104548f19b19b88867e60bc764e4fe98b75b5d4ce76fee24a62bc4

Observation 3c105dbb-9691-4795-8a4e-84a44bca20a4 · outbound

This paper cites ATVA , year=.

A Survey on the Verification of Reinforcement Learning Policies ATVA , year=

Reference 44

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no resolver link, observed 2026-08-02T14:02:54.546362Z

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source=arxiv_source observed=2026-08-02T14:02:54.546362Z digest=sha256:5f5f182ce691939b62e6c1db31d25d22a71249d5ad8ad660a9612c541e451c66

Observation dc0b26a0-8df5-4078-8828-727f88da68f3 · outbound

This paper cites ICLR , year=.

A Survey on the Verification of Reinforcement Learning Policies ICLR , year=

Reference 45

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no resolver link, observed 2026-08-02T14:02:54.552002Z

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source=arxiv_source observed=2026-08-02T14:02:54.552002Z digest=sha256:614d0da006d1643398f529e03bb4d2034bedfca406c04c557a3967a66572904f

Observation 49a3af2e-5889-4c3e-b1a3-b19fb2a7d164 · outbound

This paper cites NeurIPS , year=.

A Survey on the Verification of Reinforcement Learning Policies NeurIPS , year=

Reference 46

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source=arxiv_source observed=2026-08-02T14:02:54.557035Z digest=sha256:77c793a1070dd2f31bb3a51185aeba7f61422bbfb0b96c4cd5809ee1ea1e78f1

Observation 0c5f1a02-251a-44de-9d2a-e722920fb95a · outbound

This paper cites Proceedings of Machine Learning Research vol , volume=.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of Machine Learning Research vol , volume=

Reference 47

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no resolver link, observed 2026-08-02T14:02:54.562984Z

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source=arxiv_source observed=2026-08-02T14:02:54.562984Z digest=sha256:d4f9d0b00109af7bec35fae46042778b0ceafc61574196fea34266feec7ea5b0

Observation 014e5340-a219-48ff-8279-c5e6dc3a3f8e · outbound

This paper cites 2024 , url =.

A Survey on the Verification of Reinforcement Learning Policies 2024 , url =

Reference 48

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no resolver link, observed 2026-08-02T14:02:54.571918Z

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source=arxiv_source observed=2026-08-02T14:02:54.571918Z digest=sha256:94a437e4e7de7eef2900024c89b52d66693ebc4c51ff37cd9ce8b569d66ec147

Observation 2d221fb6-8f5a-43f9-9fd8-396b5aaf526d · outbound

This paper cites IEEE Access , volume=.

A Survey on the Verification of Reinforcement Learning Policies IEEE Access , volume=

Reference 49

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no resolver link, observed 2026-08-02T14:02:54.579508Z

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source=arxiv_source observed=2026-08-02T14:02:54.579508Z digest=sha256:68033faf9b65fa1cecda502967ba158726acb51559e6c4c519e5ae69286f4ca1

Observation 6f9fa095-f511-483d-a305-8f7d8aab5a2e · outbound

This paper cites Journal of the American statistical association , volume=.

A Survey on the Verification of Reinforcement Learning Policies Journal of the American statistical association , volume=

Reference 50

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no resolver link, observed 2026-08-02T14:02:54.584806Z

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source=arxiv_source observed=2026-08-02T14:02:54.584806Z digest=sha256:2fc5cbb2d6733f8e0958c77a78901d37eb3a821976dd9d19d8e016793923bacd

Observation c59fe1c0-967b-460d-ae15-234b6492a7b7 · outbound

This paper cites Neural networks , volume=.

A Survey on the Verification of Reinforcement Learning Policies Neural networks , volume=

Reference 51

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no resolver link, observed 2026-08-02T14:02:54.591861Z

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source=arxiv_source observed=2026-08-02T14:02:54.591861Z digest=sha256:f3a41706256102b1a63ee2b75880c31c70d70f4a848a303f207dbc875b4254ce

Observation 971b887f-a444-4b73-a526-dd422d790993 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 52

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no resolver link, observed 2026-08-02T14:02:54.609331Z

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source=arxiv_source observed=2026-08-02T14:02:54.609331Z digest=sha256:c1d6408efb73f702d7c0765d3de89452008db018aa7eff91a2de33afe9ff6146

Observation d92b994c-efc5-4433-a3cf-2b2161027d12 · outbound

This paper cites International Conference on Formal Modeling and Analysis of Timed Systems , pages=.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Formal Modeling and Analysis of Timed Systems , pages=

Reference 53

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no resolver link, observed 2026-08-02T14:02:54.614212Z

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source=arxiv_source observed=2026-08-02T14:02:54.614212Z digest=sha256:2abdc7a99c5b9720b558696c06aa67fdc088c412b6bdcf34534f585309e1bb03

Observation 89bc9ba0-61c9-4113-a8ea-17cd5961a361 · outbound

This paper cites , author=.

A Survey on the Verification of Reinforcement Learning Policies , author=

Reference 54

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no resolver link, observed 2026-08-02T14:02:54.624387Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.624387Z digest=sha256:1065ee1b4dab15ab5616b65d5dc17a6e929a3fbff398dad1172e6f64168fc2aa

Observation 74138e14-8826-4fd5-864b-4d617a281900 · outbound

This paper cites Journal of Machine Learning Research , volume=.

A Survey on the Verification of Reinforcement Learning Policies Journal of Machine Learning Research , volume=

Reference 55

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no resolver link, observed 2026-08-02T14:02:54.640847Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.640847Z digest=sha256:adefde8b184fadf1a5c1c78c035939ec6c156bb40019f2a13425d092fe20d7c5

Observation 323101d5-117d-414f-b8bf-f189fa9a5ca3 · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 56

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no resolver link, observed 2026-08-02T14:02:54.648543Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.648543Z digest=sha256:0c6fa2d69d48f8b860a932a0d0b2bdd98eafce83a3b337b2a76dc030e9be221c

Observation aca4cc9d-9d1b-4b5b-875d-b2326cc0ec93 · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-02T14:02:54.654109Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.654109Z digest=sha256:0d68f060be74d7e933e57849f46212518707e442bd340bf2a69d823877eb7407

Observation 78880f66-0f38-44d1-8962-22b2270a2e56 · outbound

This paper cites International Conference on Machine Learning , pages=.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Machine Learning , pages=

Reference 58

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source=arxiv_source observed=2026-08-02T14:02:54.659378Z digest=sha256:9705c853f98069298ad8876a4cea6c4ff2b8330bec6ce0046c123423535eea6d

Observation 8a1ee006-076b-4079-9841-b93457f8cf59 · outbound

This paper cites Journal of artificial intelligence research , volume=.

A Survey on the Verification of Reinforcement Learning Policies Journal of artificial intelligence research , volume=

Reference 59

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source=arxiv_source observed=2026-08-02T14:02:54.666736Z digest=sha256:d2400f12925a667bb1de3dc2d29fbf0dd7c0d2a5f898cedbea694df6df8c306f

Observation b3a3c11d-0eb9-4c67-8122-194c26dd1eb2 · outbound

This paper cites Communications of the ACM , volume=.

A Survey on the Verification of Reinforcement Learning Policies Communications of the ACM , volume=

Reference 60

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source=arxiv_source observed=2026-08-02T14:02:54.675611Z digest=sha256:0959df2c79bc88b0b5e90e00ba84ccb2dade855b3a373026bc7211bb13813c0e

Observation 6e37a39f-3867-4aae-a621-ac5b5f2f26da · outbound

This paper cites Journal of the ACM , volume=.

A Survey on the Verification of Reinforcement Learning Policies Journal of the ACM , volume=

Reference 61

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source=arxiv_source observed=2026-08-02T14:02:54.682299Z digest=sha256:a808368e741b4eccd89472bda30f9f6d0451168a75dd0c1385737e8ad7fc7f00

Observation 93679887-0aee-47c0-b20b-d06399a8f453 · outbound

This paper cites Nature , volume=.

A Survey on the Verification of Reinforcement Learning Policies Nature , volume=

Reference 62

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no resolver link, observed 2026-08-02T14:02:54.687097Z

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source=arxiv_source observed=2026-08-02T14:02:54.687097Z digest=sha256:314d04a9f1c91855433b2d1c578998872c4fa8c5d0fdf37bfda5143044ec6174

Observation 57f12127-635a-4d99-908d-6997d28ecc1b · outbound

This paper cites Theoretical Computer Science , volume=.

A Survey on the Verification of Reinforcement Learning Policies Theoretical Computer Science , volume=

Reference 63

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no resolver link, observed 2026-08-02T14:02:54.692049Z

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source=arxiv_source observed=2026-08-02T14:02:54.692049Z digest=sha256:977731fe47aafd304b900f29981ec99b62c9d19210189afa058efc0f32dc5811

Observation 90c10f2f-666a-4e14-97a4-059b66d4532d · outbound

This paper cites International Journal on Software Tools for Technology Transfer , volume=.

A Survey on the Verification of Reinforcement Learning Policies International Journal on Software Tools for Technology Transfer , volume=

Reference 64

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no resolver link, observed 2026-08-02T14:02:54.705462Z

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source=arxiv_source observed=2026-08-02T14:02:54.705462Z digest=sha256:e5912522f52b5e02fcec2cf2a51900aebcaa3f6831e4676e500bc17a962c54f4

Observation 531a90c2-e617-435f-b36b-188c7612fd46 · outbound

This paper cites International Symposium on Automated Technology for Verification and Analysis , pages=.

A Survey on the Verification of Reinforcement Learning Policies International Symposium on Automated Technology for Verification and Analysis , pages=

Reference 65

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source=arxiv_source observed=2026-08-02T14:02:54.740220Z digest=sha256:db495e7eda0a87913709d6f26ce882542cec5c483509b19551c1547214887207

Observation cfa273dd-02a2-4abf-9d18-645d8bb325d9 · outbound

This paper cites 2024 , author =.

A Survey on the Verification of Reinforcement Learning Policies 2024 , author =

Reference 66

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no resolver link, observed 2026-08-02T14:02:54.768220Z

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source=arxiv_source observed=2026-08-02T14:02:54.768220Z digest=sha256:36e9267b3a54e133fca5b67e9dbe4b2bd87534d0170ca3ac0541ef61b2326de1

Observation 5824362f-801b-42d3-a6ec-f5d9bcc4b32c · outbound

This paper cites CAV , year=.

A Survey on the Verification of Reinforcement Learning Policies CAV , year=

Reference 67

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source=arxiv_source observed=2026-08-02T14:02:54.804276Z digest=sha256:f6748f9aa61a4f268404ab70c7e4e11faade816eafc0eb1897268a3aada31dff

Observation 8565109e-8942-4a3d-9ef5-217ce055e4ec · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 68

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source=arxiv_source observed=2026-08-02T14:02:54.842203Z digest=sha256:f1926a5870ff9fe2ce1fa5ad3a78c36b3d1e3533c3fd1fba51b9d646ea09c352

Observation af3bfcfa-170c-44aa-aa02-89063c9c8b9b · outbound

This paper cites Robust Explainable AI , pages=.

A Survey on the Verification of Reinforcement Learning Policies Robust Explainable AI , pages=

Reference 69

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source=arxiv_source observed=2026-08-02T14:02:54.869582Z digest=sha256:f16fb2187fdbe28dd151c144e320d6cd996d8e9eb42efc2da9240ed070064dba

Observation bbb6c472-4f12-4455-8855-2b94e543c78c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Survey on the Verification of Reinforcement Learning Policies Advances in Neural Information Processing Systems , volume=

Reference 70

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no resolver link, observed 2026-08-02T14:02:54.905797Z

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source=arxiv_source observed=2026-08-02T14:02:54.905797Z digest=sha256:53564bb19347d2716b8e793b19db7df561985b6419017a2aeb0081d4731c7d70

Observation 943878ce-a8de-42df-a3dc-82a7e0d24683 · outbound

This paper cites NeurIPS , volume=.

A Survey on the Verification of Reinforcement Learning Policies NeurIPS , volume=

Reference 71

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source=arxiv_source observed=2026-08-02T14:02:54.958941Z digest=sha256:6f6adadc327ee1ed4813f561f1c705f7f8f5df909056b81ecd62c70825c2de1b

Observation 03911a8a-f695-48b3-a965-0669feddc1e0 · outbound

This paper cites 2021 , url=.

A Survey on the Verification of Reinforcement Learning Policies 2021 , url=

Reference 72

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source=arxiv_source observed=2026-08-02T14:02:54.995727Z digest=sha256:14dd8968373a4a0454803dfb52c7273ef7ce0b5458a778f01a6c09c16e127bbc

Observation 52020d09-4066-460c-b632-f28f9448bc7a · outbound

This paper cites ACM Computing Surveys , volume=.

A Survey on the Verification of Reinforcement Learning Policies ACM Computing Surveys , volume=

Reference 73

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source=arxiv_source observed=2026-08-02T14:02:55.033686Z digest=sha256:2bec049ab77636c764aac748760b9bb5f0ab11aed620c814796f43fae410361f

Observation 010b501b-ef72-4907-a1cf-7d6ba92d360d · outbound

This paper cites ECAI 2025 , pages=.

A Survey on the Verification of Reinforcement Learning Policies ECAI 2025 , pages=

Reference 74

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source=arxiv_source observed=2026-08-02T14:02:55.069185Z digest=sha256:4af14764bfd83ae7b8ecd42547b6f1d1a670ed41998552ac24cbec05b9818cdd

Observation 4ee141e6-8558-42f0-9fde-9d144bea2df3 · outbound

This paper cites nature , volume=.

A Survey on the Verification of Reinforcement Learning Policies nature , volume=

Reference 75

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source=arxiv_source observed=2026-08-02T14:02:55.089719Z digest=sha256:d8908231dd59b5209f43be85bdc128935f2677d41c14400965a54a87ccea3044

Observation 4e375cdc-b22f-47ec-9fe5-6fc54d5ec9fe · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-02T14:02:55.124338Z

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source=arxiv_source observed=2026-08-02T14:02:55.124338Z digest=sha256:e3d97eaf5696a9225b6eaf7e4c4d6fddb87bf46819d579f564aebf304725e584

Observation 6a6b4412-fcd0-46db-976e-ca43aebec610 · outbound

This paper cites Donti , booktitle=.

A Survey on the Verification of Reinforcement Learning Policies Donti , booktitle=

Reference 77

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source=arxiv_source observed=2026-08-02T14:02:55.160969Z digest=sha256:1816a931eb49a878623479658076dff4f6c1563ba8f44de7815ae841a5ca146c

Observation 1b60c397-ad43-455b-8056-435162418a65 · outbound

This paper cites International Journal on Software Tools for Technology Transfer , volume=.

A Survey on the Verification of Reinforcement Learning Policies International Journal on Software Tools for Technology Transfer , volume=

Reference 78

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source=arxiv_source observed=2026-08-02T14:02:55.196682Z digest=sha256:713ab756e25537d22b9d8b03697c1fd9f11a50d4921dae1bdbd0b60cca9b0715

Observation 0b9c2366-563e-404b-83a6-c14fd5c971e7 · outbound

This paper cites NeurIPS , pages=.

A Survey on the Verification of Reinforcement Learning Policies NeurIPS , pages=

Reference 79

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source=arxiv_source observed=2026-08-02T14:02:55.224359Z digest=sha256:c5447070ce6d5eabca07724ca9722f148f2ebd2f04a655d2900e4b3a5449f86c

Observation 8e7d879f-362a-4a1f-acdc-c128fde46231 · outbound

This paper cites 1999 , publisher=.

A Survey on the Verification of Reinforcement Learning Policies 1999 , publisher=

Reference 80

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source=arxiv_source observed=2026-08-02T14:02:55.251676Z digest=sha256:82305c6b9a9542e6bffcf2c6a5f5ab99bdb40c96041df5a80cb3905623563d75

Observation 414c199a-f3a5-4ea2-85cb-0f01701e8cb1 · outbound

This paper cites Neural computation , volume=.

A Survey on the Verification of Reinforcement Learning Policies Neural computation , volume=

Reference 81

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source=arxiv_source observed=2026-08-02T14:02:55.272170Z digest=sha256:cb11e4d30ee2886d74a2d92546d7bbf6221e373299ecbcc99d309b1aa2b08ab2

Observation d2cccf2f-fbab-46ce-aa84-7be495856e89 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Survey on the Verification of Reinforcement Learning Policies Advances in Neural Information Processing Systems , volume=

Reference 82

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source=arxiv_source observed=2026-08-02T14:02:55.307261Z digest=sha256:e2d17cbba45878dbe13be6e721274cd30fb4daff92a19d8069702ddef818528b

Observation ebc62ea5-cfed-4a3b-9123-4bea9e39ce5d · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 83

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source=arxiv_source observed=2026-08-02T14:02:55.337055Z digest=sha256:5949b037e5c278148638753f37e0d10adfaff04bf893f70086bee8c6ed50ae76

Observation 267ac7d6-1e73-43f6-8c57-5d3c19c9dc06 · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 84

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source=arxiv_source observed=2026-08-02T14:02:55.351664Z digest=sha256:4326f4176a62b3dc51cfb062173d9c133887d649577452f958564748ae02aa92

Observation 23f3a4d8-052a-4fea-8919-bad91ef4d93d · outbound

This paper cites an unresolved cited work.

A Survey on the Verification of Reinforcement Learning Policies Unresolved cited work

Reference 85

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no resolver link, observed 2026-08-02T14:02:55.369178Z

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source=arxiv_source observed=2026-08-02T14:02:55.369178Z digest=sha256:f7a85158acd0de1011fd130b791c95a3c11494d2473e3d1dbcedcb0c74376aaf

Observation 767ecfe2-7179-4cee-bd26-58660cf3dcfd · outbound

This paper cites AIRO 2023 Artificial Intelligence and Robotics 2023 , pages=.

A Survey on the Verification of Reinforcement Learning Policies AIRO 2023 Artificial Intelligence and Robotics 2023 , pages=

Reference 86

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source=arxiv_source observed=2026-08-02T14:02:55.373586Z digest=sha256:fad920b8fa2bc719dda0f6ad435324b31111ce2d5a6ba53a6dbf06a215c2c163

Observation 80c8ccec-6cea-41fc-8e13-8cabfb51ef99 · outbound

This paper cites arXiv preprint arXiv:2507.05405.

A Survey on the Verification of Reinforcement Learning Policies arXiv preprint arXiv:2507.05405

Reference 87

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source=arxiv_source observed=2026-08-02T14:02:55.382529Z digest=sha256:5250449533b580e96378f0b847883aff27d2b9b290af8ffa47bccc613547d94b

Observation 4116d49e-bb85-449c-9896-9eb6235d536d · outbound

This paper cites Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=.

A Survey on the Verification of Reinforcement Learning Policies Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=

Reference 88

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source=arxiv_source observed=2026-08-02T14:02:55.390517Z digest=sha256:fc937686bcb1caf3187e1f4a63f533389ba56e4afa97be657a1f82c3607ead74

Observation 2931b84e-f4e2-4adb-822e-962a4da2ee26 · outbound

This paper cites Artificial intelligence , volume=.

A Survey on the Verification of Reinforcement Learning Policies Artificial intelligence , volume=

Reference 89

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source=arxiv_source observed=2026-08-02T14:02:55.399981Z digest=sha256:a3056d6628c5f78e170758b27ae410d001593edc84c90e95e991ed3de509c6e9

Observation 2f26bfd6-2030-40b8-b290-c1c0a0f0d783 · outbound

This paper cites ACM computing surveys (CSUR) , volume=.

A Survey on the Verification of Reinforcement Learning Policies ACM computing surveys (CSUR) , volume=

Reference 90

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source=arxiv_source observed=2026-08-02T14:02:55.407455Z digest=sha256:abe686ad9ba8bddf8cf555a7cc7c25616b3ed6cd8214cfb7fffe74c2a24fd32c

Observation 1bbd02ca-b8fb-4007-a46d-8b73c1b50f8b · outbound

This paper cites ICML , year=.

A Survey on the Verification of Reinforcement Learning Policies ICML , year=

Reference 91

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source=arxiv_source observed=2026-08-02T14:02:55.417626Z digest=sha256:8fcf44264bac934c24ce1c4e6e174fe012ccb0b6c04c1229477156f4fd9cb5cd

Observation 4eeabf37-24e6-44ee-9e92-34cb65dd2e49 · outbound

This paper cites IEEE SP , pages=.

A Survey on the Verification of Reinforcement Learning Policies IEEE SP , pages=

Reference 92

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source=arxiv_source observed=2026-08-02T14:02:55.440725Z digest=sha256:32e4e8d1f52f7ac84947b2783e81eb63b0392f3ea81b996293ee7d709125922c

Observation 079ecc48-afec-443d-8582-8f07f85e30a1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Survey on the Verification of Reinforcement Learning Policies Advances in Neural Information Processing Systems , volume=

Reference 93

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source=arxiv_source observed=2026-08-02T14:02:55.462479Z digest=sha256:e96cfae3a7cec559e27bf0d977daa0e24627639a3158db5a530cade1188c640d

Observation 59233193-e98d-450a-9add-ccb3a88c43bc · outbound

This paper cites The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results.

A Survey on the Verification of Reinforcement Learning Policies The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results

Reference 94

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source=arxiv_source observed=2026-08-02T14:02:55.491202Z digest=sha256:6f05b850a776281ff4f62338a31df19a76feacd3c095e624a571cf7ac72ec0d1

Observation 0f76bff9-0b22-4059-b292-21ca6ec4c09e · outbound

This paper cites The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results.

A Survey on the Verification of Reinforcement Learning Policies The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 95

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source=arxiv_source observed=2026-08-02T14:02:55.508412Z digest=sha256:313863a38752b8a0894faaa70c4ab18d7709ff61c09a56b6e16c6e182ecd2908

Observation 683db619-3cea-4af8-a56e-9a84ed772d34 · outbound

This paper cites International Conference on Machine Learning , year=.

A Survey on the Verification of Reinforcement Learning Policies International Conference on Machine Learning , year=

Reference 96

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source=arxiv_source observed=2026-08-02T14:02:55.527167Z digest=sha256:8c7fc7fb599dfd3f6550f619a18f22e451e5639d31e4f488e2095e7304f8bdca

Observation 2f1fd7d4-ed2d-45cd-a4a0-1fc8cb6de161 · outbound

This paper cites Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound.

A Survey on the Verification of Reinforcement Learning Policies Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound

Reference 97

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source=arxiv_source observed=2026-08-02T14:02:55.555451Z digest=sha256:c3264e64ca44780578026a4f74890b6daf3ae1b1da13c7c21a436d917456a8b9

Observation 4d0bcbbd-a203-4a5c-86b7-9373ed481c95 · outbound

This paper cites Neural networks , volume=.

A Survey on the Verification of Reinforcement Learning Policies Neural networks , volume=

Reference 98

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source=arxiv_source observed=2026-08-02T14:02:55.582987Z digest=sha256:3256b0a09c9acd8c38eb2f5a3429e8a864a66a0e12f788620d81bf673612e16b

Observation b0c11868-7673-420c-917b-7405c7c8dc44 · outbound

This paper cites European Conference on Computer Vision , pages=.

A Survey on the Verification of Reinforcement Learning Policies European Conference on Computer Vision , pages=

Reference 99

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source=arxiv_source observed=2026-08-02T14:02:55.617854Z digest=sha256:214cfd27095ce2abca25893c64d20846e970d5e3aa2f6e5bd04bcc3a0f33e598

Observation a938b48e-e2b1-4364-a641-3157a942d0ee · outbound

This paper cites 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER) , pages=.

A Survey on the Verification of Reinforcement Learning Policies 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER) , pages=

Reference 100

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source=arxiv_source observed=2026-08-02T14:02:55.646147Z digest=sha256:cdc1dd831431f96ac24d5abd4c832ae36546e3e5fbe937b0ed3123ab07c1400d

Observation 76167bdf-6244-42e0-9bc5-2eec6faf5cb8 · outbound

This paper cites NeurIPS , volume=.

A Survey on the Verification of Reinforcement Learning Policies NeurIPS , volume=

Reference 101

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source=arxiv_source observed=2026-08-02T14:02:55.681719Z digest=sha256:31d36b0858ec26a3fb3a851111d16dce4ea4d0a6ee6b5626516df465bb36fbdf

Pith citing papers

No inbound Pith citation observations are available.