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Paper Citation Record · LEDGER

A Survey on the Verification of Reinforcement Learning Policies

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:947d8388abd88de8b9390c58edba1e085ecc6c1a13388c29e538ebb673862e27

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=sha256:4e9276c58ca147cc4ca39ec5967315ac135e7c56ffc2ba3222cdc89a968c4d18

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:ccbac62c9870573a01f08c166c9157934e86681f31792258a53013fea54a450f

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=sha256:60b9722463feeb08d0664b0dff9cff191cd5d97a05ce887ceaa47f210092201b

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:e9e4b2e9bbd48b08a40749b23a489df274b52663681e9b5047fa18e7447c88b3

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=sha256:6bc9bba298390a0efb1b69efe060c16d5dd117e501f8ea5aa49dd2af6561dfa0

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=sha256:5655ea87a33082432cb6dcc56b675edfb32851d59f8283f9c6727e5a3ea7070d

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:f50e2d3b4a2f56c621a3b43159fe8acad41af11b7b131a6da27145e390a4f59b

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=sha256:69328151e34300983846bc74b4503280fff34162e4c825194e0693ffe358ead4

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=sha256:2a352be39b0ed7870ed4186eae8c8b870613ea99510bd6f581b8ad52d3f62c21

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=sha256:816a6289c7b2d0c894a12dc6c6af4695fbd1e4264490dc38308ba3b3331d7c9f

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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source=arxiv_source observed=2026-08-02T14:02:54.386374Z digest=sha256:566492008be0363701becddc9a851f98d164ffcf753de5311ad9af77ffaa2914

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=sha256:9aaee3f40f68e13deb1b4ed501d1fb3f93fef9869ae03e4b46eaece15c6440cc

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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source=arxiv_source observed=2026-08-02T14:02:54.395784Z digest=sha256:412c071af1fd0ba25018c23319e5cb17886e453380197e1270837dcd0f2fc380

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=sha256:2cb540fec6133195b5395c3e73eebb6edec01444cbe01e80161e048a3ee7752e

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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source=arxiv_source observed=2026-08-02T14:02:54.407560Z digest=sha256:08e49aa6b739274c21166a5114408b7a8f9b6372c2a3a7c8b6f0bd39697244e6

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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source=arxiv_source observed=2026-08-02T14:02:54.418769Z digest=sha256:b04b216233991cf13b3a368eaf914f2c0a0b1fa79d90b82f7ec7c34df32f087f

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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source=arxiv_source observed=2026-08-02T14:02:54.423945Z digest=sha256:54236c68741051839d2a25bffe84f2a9de87199ca3834d966b97c3337c906a2e

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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source=arxiv_source observed=2026-08-02T14:02:54.434588Z digest=sha256:1984e6f28de8e1097e4dfd433226be9c875b0c9ac1d04279a25ffbb069167f0d

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=sha256:22d2dbff77b763bf48741c5c4cafaa0683d09456c80f34503ccc2e1186213bce

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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source=arxiv_source observed=2026-08-02T14:02:54.444739Z digest=sha256:3d3bcad6d13161acada645f80b9ae3222b7334bd00c9e2684c340c32e5c49cb1

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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source=arxiv_source observed=2026-08-02T14:02:54.450046Z digest=sha256:e422e23bf75f52442b1c393d763b75c91a533649bd74e010c9a16b6e750f1c6a

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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source=arxiv_source observed=2026-08-02T14:02:54.455306Z digest=sha256:6497df264414b339cfd4c01e6fc1f8a20903756e6e0d53e88675919f09939b36

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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source=arxiv_source observed=2026-08-02T14:02:54.459469Z digest=sha256:7e08514f2b178bbd863cafd7fcf16827cc6a9ecb9e65dfb4a879a3c764ece3b3

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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source=arxiv_source observed=2026-08-02T14:02:54.470222Z digest=sha256:e263547cfe161ad361ba6fa17d18900b377762dabe9b0348dcbbd3b11575e220

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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source=arxiv_source observed=2026-08-02T14:02:54.474294Z digest=sha256:c56b4021da9ddcf6522e40774fa3a8f892e7bb243e8ed77a24fd1f160fd0aff0

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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source=arxiv_source observed=2026-08-02T14:02:54.480867Z digest=sha256:f0ecce443fefac2d65dbf91213813a092ca9d4b5b52ce28b0d74de8da13be16d

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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source=arxiv_source observed=2026-08-02T14:02:54.485366Z digest=sha256:9fffbc392e1381957c0f4b151b2e468ec12bb7b5b4e5b4d360ddd04410d84d06

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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source=arxiv_source observed=2026-08-02T14:02:54.489903Z digest=sha256:1595e3973d85c0dd5bf97cdad4d7e5f696457e9181513b3a5dac7d06d85445ad

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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source=arxiv_source observed=2026-08-02T14:02:54.495437Z digest=sha256:624bfd910cce2cb199bedc958cf78734dba7047f7eded1799ac27012ea0eb0ed

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

This paper cites HSCC , year=.

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

Reference 35

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source=arxiv_source observed=2026-08-02T14:02:54.499588Z digest=sha256:bba7c1b429f10220388956c1384ed54d3d730122e4df2ce201a36ba07ae36340

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

This paper cites FMAS , year=.

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

Reference 36

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source=arxiv_source observed=2026-08-02T14:02:54.503860Z digest=sha256:7a463b5a6bc5083db3194a53b6dd899d0041418d176ea6fdd8e13cdaac5a1c00

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

This paper cites CCS , year=.

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

Reference 37

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source=arxiv_source observed=2026-08-02T14:02:54.508400Z digest=sha256:79fedd35106fbe8f846aceb359c51823b3f3ecc8f152b8600687e9988eae0022

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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source=arxiv_source observed=2026-08-02T14:02:54.515357Z digest=sha256:515e300677575e01b497481f805dd16c955bd975cf6c07a2a3d7ec84b3b9805f

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:c4819d0a44b7f4e7a3e32cc2b10e2a3490cbf0d681dba1f19eca22ddc6c76a4f

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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source=arxiv_source observed=2026-08-02T14:02:54.526634Z digest=sha256:8cbb69dddd80bf24003138f198be8d0dac1c79b7267941cc964d8ae94fbd8511

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:a86dedafdac70c808cd92323776996f618aa0e4616e806c0f04d29b1c81ec0c8

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=sha256:6dce9b0a8923d83cf1a8c686a2ce015006e88de788c830b7b8b21d283c6e2843

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=sha256:5dfc20d756221814df80cf6b92a3a15d30d445e57d409812090fc501cc24ca62

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=sha256:3046b45b97be31c271c6b1b66049519a0ff9bac339197535473ffccbea8130cb

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=sha256:55b674865354ce889a176f1823140284fdc671e553956a4047bbadda22fc3ac8

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:b766f0b66858249c698d29ed8b603c90f7dca9ff8d89d15036973be0d2af9852

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=sha256:78ee418c0c7919c55ef832bfa3b37974a475e14939182add4197067e98e84478

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=sha256:7d855409ea2a5a1b4ecaddb70ef88e6894313bc51cdf04293d8283ad62e453e7

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.579508Z digest=sha256:5df80f188136eea6af8444b17ea81c888dd5af33d3a9a180e3d80e0cff8e40a0

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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source=arxiv_source observed=2026-08-02T14:02:54.584806Z digest=sha256:e84080b5b7e0d4308c4c5dc8f17e6ee8ff7907b40af7f01538cbd0a412e64087

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.591861Z digest=sha256:0b47ff6000f744000473772a4b9954dfdf5b1eac290a85c056b21c69d9d6cf3f

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:be762f9e11af5d98b26a76007f93c0fc47557591fce6ad314c1ab1d9913b7c34

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=sha256:81c4fb29359ffa783eb0c2f38f16e0074248b6163fa5542e8d10223e388642f2

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

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source=arxiv_source observed=2026-08-02T14:02:54.624387Z digest=sha256:f17290c98dce38a4af01eaf1b63d0d48a4287277ba2b591a8a78107bda5f8c7a

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=sha256:20bcb3a36207c1216d752a7012453ecbf57d3341e7c3bc44d05a9f005d565f12

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.648543Z digest=sha256:9db010e6f97c4f7842edd90734e11abc24c139bec168e2aeca6dd2534923a80a

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.654109Z digest=sha256:8ee157c1a8f1cfe63b2db9b5b15758008d529bbb8e5c5ee21370ea79f540705c

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:fd5c512816615a776dc5896b57d65da478a7fe9c582527bc55a475d5eabb621c

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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no resolver link, observed 2026-08-02T14:02:54.666736Z

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source=arxiv_source observed=2026-08-02T14:02:54.666736Z digest=sha256:4440fb856bd7dc88210e093a60d2342ef8977bf33d722072ee7696e0d4b1a21c

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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no resolver link, observed 2026-08-02T14:02:54.675611Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T14:02:54.675611Z digest=sha256:b42b87bce36a0b048ffc2303765df8b9715454315eedff4ba76f65996b952683

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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no resolver link, observed 2026-08-02T14:02:54.682299Z

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source=arxiv_source observed=2026-08-02T14:02:54.682299Z digest=sha256:178d7cd1f2a3d2b95d587276f5cb747b8d0016ad215687e6772391a0ecef746c

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:a223b8d77035a71e35024b3c7b34cbd4cad2cd74d5417240fa2392138da10420

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=sha256:42d3a1ae9243edeea826d0dfa1842e64ce4935418015c27f3a317bbe06f58f44

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=sha256:018f1201aa7299df4c09614953185511220f7192bda0ccb55c4279042fca9a5f

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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no resolver link, observed 2026-08-02T14:02:54.740220Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.740220Z digest=sha256:e539613ed8d162abb2d33f7a1e128a82648307229f49c186a2cc793029ea4b5c

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=sha256:2f77daad295bfea9f35a223295e27abb6b9ad6c8421ea67737fb4a633a1f38b4

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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no resolver link, observed 2026-08-02T14:02:54.804276Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.804276Z digest=sha256:104046ba5f1c214de268026232d761eea7ff30361aa9711d803bbbbdca76ad7f

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:b18decd27cb4d920e9461bb7b57f89ad2ba08546ee60f29781d5c67efec4a132

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=sha256:4dd3ec46729a350d8912e441c082220901d5d5e08286f31c989c86c93796533c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.905797Z digest=sha256:e99bd307fdcb00a7cf4f978dedaf0f01e2e5d318d0c71f299e0d845b0bd9b83b

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=sha256:886db6a05f9f1a2f59a5c95a1b16a1560acf9a76d8c5f613dbd6c97bf9875fb1

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:d59d84a5c4df4ba8ae60673391481b166d7570bfac54776340ac0f5d7ce05462

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=sha256:7625eceb25018ba91a6801d5d7fd5abc5ba36e486b99a464a2a4c48cee28ae40

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=sha256:181ee6e423bd9dad8733492f0f43677337fa9b30651ad743a0ff81bac79e7c16

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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no resolver link, observed 2026-08-02T14:02:55.089719Z

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source=arxiv_source observed=2026-08-02T14:02:55.089719Z digest=sha256:f0166304990b21b832663558b448a68c625b89267f9e5e977981de45abefbf57

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=sha256:21b1f36ceafa98807278dad0d5c73fbe63014c4a441adc1529bed6b4ca18b697

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=sha256:3ad11dc4868e9c2f32ce4e6d27cfd80ac13f01f3d7a318a4a3a84a779c50956e

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:a520d414003d63a8c80b83700da05be4fccec6271f07d871856198132b533419

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:e0d7a912ea5b27328073e79d109b68d416e27e41e1d12bc5132b934aa90bd569

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:f51b609c3eddef475ee168638d437f5cc7e9dd1b0a04fd37d1ad167e38242e60

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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no resolver link, observed 2026-08-02T14:02:55.272170Z

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source=arxiv_source observed=2026-08-02T14:02:55.272170Z digest=sha256:fc813b36dd291b20267f5700e8a08d182e3354b31a8a9961a5e5d302fe3c44c2

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:e908604c25f019cb0fdff3a712d3833a83e382cdd6924141e424df1216dc6917

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=sha256:392ac8080a66860fc81c306f10fccd41b8ee1b2f9d47ba7eb83e608551cbaf47

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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no resolver link, observed 2026-08-02T14:02:55.351664Z

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source=arxiv_source observed=2026-08-02T14:02:55.351664Z digest=sha256:615aae2251a73ec31a09e46ccf10c98c0cf0a93be0bc9a304ebbbeac822723da

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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source=arxiv_source observed=2026-08-02T14:02:55.369178Z digest=sha256:e2c25034f732f217a6722a8aaeda43a4be76ba980343332c50161dec0ec865ce

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=sha256:93df645a7a94eb1e99be6d6806b4975f86488527f893ae0e103259154a8d13a2

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=sha256:0854049d54f74290cec44adaaaf1a7a6c074fc178df9707e581b32eff0d1922a

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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no resolver link, observed 2026-08-02T14:02:55.390517Z

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source=arxiv_source observed=2026-08-02T14:02:55.390517Z digest=sha256:51bdca54413d72b119e560bd55896c394391124d07072e0f083bf4e6459543a7

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=sha256:9ebfc19b957ca58f05fbfea38fce8de6cd3e8154e2e5855bf27b229759e48773

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:b3fa677047b254252aa6bd7338d10cc66410faf2a88257d9bce9621c91a9d1e3

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=sha256:967b8f5447ec6210051c853f002a47939162d828ac82fbe7f54a7e741bfb5e3b

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:af5dd9c46d4199086799cfb64a22f23362122c2e63e516a3c92fb99bcac2ea47

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=sha256:56c1c1899bd674b18dd5e0864ef44b233d5b8525c25ebab4ae33401965731e10

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=sha256:7d521f6a5cd07924b8ac587d8b38775502c5148858d0e3ffb16837a0169c6386

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=sha256:67d489f46c158d99ea5c82c94edf990e2807637acb2d2cbb3c45bd5fa2f4f5ad

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=sha256:37252e0731f5bf2544d3f3d7fe33f4ffe9709575b6730758fe3d2e75c5673379

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=sha256:38c0e36cc61c1e7302ff78580e74a75b184b07219fd9991f29ecc25db90fa375

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=sha256:319486f70a5cc101d4e0179108f16f97b96e99389845f5146ddd5f1932532e21

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=sha256:1463ebfb3c7fb3207aad2be54dc44360eedffcfb76e5be763aba46f6779c4948

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:cf5bbb52a69f12994233b8f58c580ae86b7d6fb5793caae9bc57d649217caee7

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=sha256:6fe8b329328d9ed0f4527d9ecd9267ac26626b657300268b24af156b05974d69

Pith citing papers

No inbound Pith citation observations are available.