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Paper Citation Record · LEDGER

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations

As of 13 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2608.05588.

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

pith.paper-citation-record.v1
2608.05588 v1

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T06:04:24.572624Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

83 of 83 outbound references displayed

  • verified exact1
  • verified fuzzy63
  • unresolved16
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbf16ed7-b822-494e-a1fc-5c83283977d0 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.227979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.227979Z digest=sha256:a680712d7c25d305397c572c0bfc0389e9a4c972132f7479f8f09bba6aef5c72

Observation a779944d-b04b-47af-9626-7485ccc451fa · outbound

This paper cites Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) , pages =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) , pages =

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.234376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.234376Z digest=sha256:206e6d2cc434923e96140b4fc34871a65daac52f1af76588eede296ea4348437

Observation e445147a-f829-4075-aa0c-b4b8e89aab86 · outbound

This paper cites Efficient Bounded-Suboptimal Multi-Agent Path Finding and Motion Planning via Improvements to Focal Search.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Efficient Bounded-Suboptimal Multi-Agent Path Finding and Motion Planning via Improvements to Focal Search

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.238767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.238767Z digest=sha256:400c47ac2ff4b170405f4112eef3e598e10be6866d024f8c46d0bb97628a3f5d

Observation 71785144-3845-4b49-aae8-074aa833d745 · outbound

This paper cites Proceedings of the International Joint Conference on Artificial Intelligence, (IJCAI) , pages =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Joint Conference on Artificial Intelligence, (IJCAI) , pages =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.862822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.243219Z digest=sha256:ab6cee35a1214e425ac8a029dfc38f410204dc751b0edd26800e81ef64190cfe

Observation fc191041-ecc6-4037-b7ed-5962cb277047 · outbound

This paper cites AAMAS , pages =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations AAMAS , pages =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.848518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.248476Z digest=sha256:197b54794c84f8e2b2ac65840db05f839071aa058e4f3743ca4f3a0086293ac4

Observation cc02b8ad-78ca-4441-99d3-d1797f974a58 · outbound

This paper cites Proceedings of the International Symposium on Combinatorial Search (SoCS) , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Symposium on Combinatorial Search (SoCS) , volume=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.834918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.252962Z digest=sha256:f9ff3ade6ad97bb40eb49174c57af94fd074bb55c43a6103c1fe2c5a682b8304

Observation 1817feb4-7c6b-4536-90fa-1d6a18d6378e · outbound

This paper cites Sturtevant , title =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Sturtevant , title =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.821407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.257750Z digest=sha256:00a152ca2733081c90723d9febda0356df6e541e4be400dc784d37267ae23369

Observation 7dd76492-d580-4b3f-8305-7b41bef56237 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.807347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.262672Z digest=sha256:68982424d537e5df0d089256eba1887924e077608f21950e0c995752cc6ca7d1

Observation a1ec54d0-4f1b-4bba-a19e-8594becdbd24 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.793099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.267139Z digest=sha256:0bd126635b9103717d7d11cfdc2b2f0eea72ef9d8fcabb8394254244c75cf271

Observation 7b70fd58-a23b-465a-bb1b-36143003e3d2 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE Robotics and Automation Letters , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.779837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.271620Z digest=sha256:0ec1169555f0fe301a1a3fa4037104d55111d3e3278260c86bc59a348d3dddb8

Observation 5e9bbe28-7791-4d28-85a6-4a46e413cf8f · outbound

This paper cites 2023 , publisher=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2023 , publisher=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.765270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.275904Z digest=sha256:a776aec3980906521f90411a60c24c7267cc177fe6f9c77daafc863ea6ed9cab

Observation 68731839-b218-487e-a91f-fa7c1295d5dd · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.751579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.280220Z digest=sha256:0529ac4dd953fefe286d0803676ebdc0031e0cdbda385ebffa39b89fd34f4b24

Observation 05e77eaf-e451-4113-951d-b9d4238e46d0 · outbound

This paper cites Proceedings of the International Symposium on Combinatorial Search , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Symposium on Combinatorial Search , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.737461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.284387Z digest=sha256:c99f6051ed8724df81d993629fe5c64d1218ac8ecc19043ba60a600ce301f3d6

Observation e6068eee-6f7c-47bf-ad19-d23dac4de9aa · outbound

This paper cites POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.288474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.288474Z digest=sha256:f550c47a50d3b42656f99aa925ca999fe6e552d3799f27badc74f9ee52eabe00

Observation 8e92600d-1795-4f03-b8c8-d68a118729b9 · outbound

This paper cites 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.722929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.293224Z digest=sha256:9fb1dceed6f7eea1a9c95094435f73ed6db6baa1b970f12506df6b1abaebbfdb

Observation 91c80357-64ef-45b8-8306-de7286c01dc5 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.709070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.297114Z digest=sha256:44ff9b18e0af39a426a982d48aaa131f540b9956077fcd55a6cd8bb7add2c1a0

Observation 6ed3bb77-b259-4434-8be8-6c0d6e6d2924 · outbound

This paper cites Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS) , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.694739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.300996Z digest=sha256:421eae41632a77997d73b444ffcfdfc40e6a0477531c7b52332aa1bde11ee33f

Observation 87460c5d-4826-4dbf-b0f0-cd0c8e84084b · outbound

This paper cites Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.680051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.304806Z digest=sha256:6203d1dd1ab54a6ec122691bcc8d5bd2106796123e6a49c04e64d04cb240b7c1

Observation b521b295-bb40-4f41-a930-b5dde7413b06 · outbound

This paper cites Artificial Intelligence , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Artificial Intelligence , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.665008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.308785Z digest=sha256:65d18e71c3b7bdd53a2771de87a3fc80931f142ac8e6cd362d86ba6523c9307a

Observation 0a22d858-430b-418f-bd34-a5eb2e8bd944 · outbound

This paper cites 2021 , publisher=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2021 , publisher=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.651158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.312968Z digest=sha256:da9050480f3d1e1846be7ba2b5d072969827aa181479eaf804ca0ac6da312726

Observation bccb6f25-7358-40ce-a318-5596ee0c7d18 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.636820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.317635Z digest=sha256:f31e053cb083639bbf1bcf3e08b6377f7ab0a6c322fb38b1ef18339037f0f491

Observation da39e555-b258-49f5-93d1-1c3430efddcc · outbound

This paper cites 2019 , publisher=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2019 , publisher=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.622543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.321459Z digest=sha256:fb634e5609d53765103d6c832d9974f07998ba0b40a83bf3252be84a021ed04e

Observation fe2e15f8-4aa0-4a3c-a470-c25fa24a9be5 · outbound

This paper cites an unresolved cited work.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T06:04:40.608755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.325367Z digest=sha256:6eccf49495b72d31946cd3e5508b073566d0cb05f9745c5c2d666776ca8a1a38

Observation efd8d545-fa26-47e2-a024-30c7f7226070 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.329142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.329142Z digest=sha256:3e47514468bfc2d9c6586cad23113c601161d63bf496517bac69e153a5a3ee43

Observation 01e79ce8-f9fe-442b-9cd3-4a97645ffaa4 · outbound

This paper cites an unresolved cited work.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T06:04:40.585304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.333142Z digest=sha256:f74a5e52e19cb84d964ad9df36732f1dbba3f93ace02eaab36195a878374ee51

Observation 8371a086-fee7-4670-b92c-13f72d593e5e · outbound

This paper cites 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.571461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.336873Z digest=sha256:0e8220bc32506e9b6ccd71d42d31abf909bec978cd33b37f4f50e75c4c3f091e

Observation 717a293d-7465-4a34-b32b-ca8428278e88 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE Robotics and Automation Letters , volume=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.557179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.340876Z digest=sha256:3d7217f8bb1ea1874aa0c15a53ac9f1a9d65180c0cc6e1139002433c1e30c698

Observation a4dcbbb4-4e6d-4682-acf7-5023386e4702 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE Robotics and Automation Letters , volume=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.543333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.345178Z digest=sha256:e13d23f6240c96e1c097fb0d82584b477e4ba76268dcb766c5ab2a3adab35a90

Observation d193900b-c80d-4b5a-bdeb-fe4d60270b37 · outbound

This paper cites an unresolved cited work.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-08T06:04:40.529487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.349416Z digest=sha256:df012cb81e79b212d493c0460e903c28a26a77da9cc927bed29f690398192699

Observation f2c82cd6-3eb0-43a2-8bcd-ac6108fd79d8 · outbound

This paper cites Improving Learnt Local.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Improving Learnt Local

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.514132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.353727Z digest=sha256:2f8ba161af4be802d6fb898f0cc3ea6ba6a8036aa8b67f921b9cb76b58d59311

Observation e9d7ba9d-9e3b-48a1-821f-c2013056f714 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.498489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.358015Z digest=sha256:9f6bfdd62c8eb0c483b2b96f62ad84214a7ddd4b41a0d13e5b276412279ed17b

Observation f9f9b7a1-5d02-42c5-9525-683f9ff83b4c · outbound

This paper cites CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.362677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.362677Z digest=sha256:26439b35c7ac91c846cb8ff5aa199aaf35cbfeefe5b305a864e51a72836f35d3

Observation aa9abc0d-06be-4204-9d9b-4c1e2ee5f83e · outbound

This paper cites No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.368187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.368187Z digest=sha256:4f1ec342a509c1aa2573ed78588772c20c7f496a94e547533468a97bba0bebfb

Observation 6bc0e971-5669-4506-963f-c9ede04a4543 · outbound

This paper cites 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.484443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.372704Z digest=sha256:04402b08708062548632f51eff9148294516f5132a9ac5338b7299b42aae7d18

Observation 1d97e801-c7dc-4e54-9a8f-e9b381ff46ff · outbound

This paper cites IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.470028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.376995Z digest=sha256:d36be1b61dd2a5fe43faf11f84fd2ba473ac74ad7dd4552e66df885c3bca0111

Observation 67f2863a-2cd8-4de0-8628-a8287b2ca393 · outbound

This paper cites International Conference on Robotics and Automation (ICRA) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations International Conference on Robotics and Automation (ICRA) , pages=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.455577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.381100Z digest=sha256:940a7a943c67f4c0ce3892b3f915e0ed222cbbab31900abcf37b7ced196adfe7

Observation 4172abef-66de-45d0-bf8a-47563ac250c3 · outbound

This paper cites Proceedings of the International Symposium on Combinatorial Search , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Symposium on Combinatorial Search , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.440852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.385395Z digest=sha256:bf6736fadcce53c768e3bdcca5a08dbcec24138f28e3f1cf32370bd1f9050505

Observation 64fb9b25-5561-4f0b-a0be-92a11d1463bb · outbound

This paper cites Artificial intelligence , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Artificial intelligence , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.389746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.389746Z digest=sha256:d5ac83f6c42719be5e7da66d22a64bdd19e6850d7c558b5795fd2117f259dc97

Observation 40559bd5-8d58-44ca-8315-024ead3cb680 · outbound

This paper cites Stuckey and Jiaoyang Li and Sven Koenig , title =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Stuckey and Jiaoyang Li and Sven Koenig , title =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.415927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.394624Z digest=sha256:a8dacb32e76d82ebe249c6642d0cb705bf777f2f9d3da5bf0b0cb3fc0aab1b94

Observation 814cf20e-d980-4ea2-a5d3-b403a1dce4f0 · outbound

This paper cites 2013 , organization=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2013 , organization=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.401596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.398977Z digest=sha256:478660fbb070c4e03b5733bb7129d91f8be04c18cc831d2b3e8ad0a161e69567

Observation af047d59-c52e-4bc8-9b99-747293ad85fd · outbound

This paper cites Brown , title =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Brown , title =

Reference 41

Resolution
parse uncertain
raw_fallback, observed 2026-08-08T06:04:40.387604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.402967Z digest=sha256:b265ac83843307c3426b8906d7266f3877c3627c6c8f2b8398777a41e32dc489

Observation f0690307-bdf0-456a-9cf0-e84511ee51e2 · outbound

This paper cites 2022 , booktitle =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2022 , booktitle =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.373979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.406878Z digest=sha256:47b0ba89e205687451365ca84684ef6efe733f9db238ebba358875da2d61465f

Observation 786c4173-8be5-4802-9ae0-7d4b91069f23 · outbound

This paper cites Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) , pages =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) , pages =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.359787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.410663Z digest=sha256:29554d0cd1f5dddc52e6df615765b3b3563c5da37f2cd3d3a5e749eed8ed2805

Observation 0d227b6a-445e-445a-971c-3f54d26c1758 · outbound

This paper cites IEEE Transactions on Robotics , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE Transactions on Robotics , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.346114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.414534Z digest=sha256:817d2bf42d19f8b8de332af6fd54de941547b8230bcb15aa2b4b360ec5878974

Observation 16d5d083-76f9-4754-aff5-290567ffdeb1 · outbound

This paper cites A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T06:04:39.827910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.418801Z digest=sha256:182814e87216280c34599f5fa8caf58bf7f52266c91161b7465db6cc77a4d136

Observation 9774cbfd-f1c7-4a6e-82ee-533230bd129f · outbound

This paper cites Proceedings of the International Conference on Control, Automation, Robotics and Vision (ICARCV) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Conference on Control, Automation, Robotics and Vision (ICARCV) , pages=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.331588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.423052Z digest=sha256:84688eee13371647e6c9add9d418f6eabeb8554c8d4b3db6684d6afcf1961f3f

Observation 02e82b15-3d9e-4468-8203-db60cf693950 · outbound

This paper cites IEEE International Conference on Automation Science and Engineering (CASE) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE International Conference on Automation Science and Engineering (CASE) , pages=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.317135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.426834Z digest=sha256:aed67d884ea224dc54d2511c77feae71231a6e28d06e3c0cc4d22c0e9a3d192a

Observation dd5d7704-f2dc-409b-8f0a-f6cb15cc3f80 · outbound

This paper cites Proceedings of the International Symposium on Combinatorial Search (SoCS) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Symposium on Combinatorial Search (SoCS) , pages=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.303206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.430795Z digest=sha256:f31fd5fb0eb371dda88f671345dc941a28ea68a5e234af3c7e2c072adcb24113

Observation 9f66fc91-33fb-4591-9343-c59a1ca2e07c · outbound

This paper cites ICAPS 2024 System's Demonstration track , year=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations ICAPS 2024 System's Demonstration track , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.288709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.434830Z digest=sha256:b6ffb4cc974c69aa28d759f4a86f24904740df2492224a1e1659a04026481dd7

Observation f60347a1-ade1-4889-8eea-c8ae59872c73 · outbound

This paper cites Proceedings of the International Symposium on Combinatorial Search (SoCS) , pages =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Symposium on Combinatorial Search (SoCS) , pages =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.274876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.438783Z digest=sha256:da2f13d59b5c3a1847e5fcd1cb080815fa57a55f0ab41e0c00b0bb2eea230d16

Observation 0922edfe-3874-4edd-ada7-cbe27e0065a0 · outbound

This paper cites Advancing MAPF Towards the Real World: A Scalable Multi-Agent Realistic Testbed (.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Advancing MAPF Towards the Real World: A Scalable Multi-Agent Realistic Testbed (

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.261886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.442629Z digest=sha256:6733948a25ddd9c5b25b2a4ff65153bd2b277a786f4303f4a31554ea9d69064a

Observation 7b717c11-4fc9-41e0-8a60-468449c1be02 · outbound

This paper cites Enhancing.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Enhancing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.248319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.446367Z digest=sha256:c0bdd6a365023bbba966d600761b8946db0c130f980b05dfda758ec867ba1582

Observation 414e8782-efa3-45c9-a47e-eac14f93f5a4 · outbound

This paper cites Proceedings of the international symposium on combinatorial search , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the international symposium on combinatorial search , volume=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.234828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.450042Z digest=sha256:bb52299d3f8e92332a567a74980a3e4482da9add403ea1366faccbe048bc6dcb

Observation 4656ef0f-bc2d-4192-9ef3-3a0a499497aa · outbound

This paper cites Proceedings of the International Conference on Automated Planning and Scheduling , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Conference on Automated Planning and Scheduling , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.221146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.453707Z digest=sha256:305c02d15be90a4c08e98708304acc6a8eade3e8ac5c614ba482b6ca7b5f70a3

Observation dd9fce07-22c8-41a3-823b-de3f96808d50 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE Robotics and Automation Letters , volume=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.207165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.457473Z digest=sha256:f2b89f1d367161ed9da1c6f36751128840e511c6e724e674aecab7e81c2d5503

Observation 42422fa1-8104-4a5d-9d54-af624377e17e · outbound

This paper cites P3GASUS: Pre-Planned Path Execution Graphs for Multi-Agent Systems at Ultra-Large Scale , year=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations P3GASUS: Pre-Planned Path Execution Graphs for Multi-Agent Systems at Ultra-Large Scale , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.192922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.462122Z digest=sha256:1955904bf8743b141a7b45d17fd334b68368eae3cdc4296cbd4bea48b7a87c14

Observation 0a57e81c-85a4-4e39-b762-c15967f1c4b0 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.179228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.466519Z digest=sha256:b0351386c43a16712ad505972967342b1fa3a9119a8ee85aa7658fc650f9ec4c

Observation 2a4cdbb6-d025-46c7-9fb2-70c192494be8 · outbound

This paper cites an unresolved cited work.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-08T06:04:40.165946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.470816Z digest=sha256:8eba3fb5bb3e110b3b7ded1e8ff7e16a9877b0c6a5c173b8ba8684ace7d09265

Observation 79bf6991-e08b-4959-883b-0b1909c04447 · outbound

This paper cites arXiv preprint arXiv:2510.00425 , year=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations arXiv preprint arXiv:2510.00425 , year=

Reference 59

Resolution
verified exact
raw_fallback, observed 2026-08-08T06:04:39.807391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.475300Z digest=sha256:174087dec0f77da8587e80749b0b4d65c6b648985507ca4eb53efabf6757d61f

Observation 55f19b20-85df-4f5d-bf6e-84ddc23cecb6 · outbound

This paper cites Robotics and Autonomous Systems , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Robotics and Autonomous Systems , volume=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.152331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.479452Z digest=sha256:9dea51df483a9ebcafe148d4a339e87b5f6d749645bb204cd6cf89c06b1c21fa

Observation 842309e7-c83a-4b56-bb53-5c93ba90a7ad · outbound

This paper cites 2026 , pages =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations 2026 , pages =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.138218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.483590Z digest=sha256:f7173b99b348032f63ae55c66a9fba62cd01769e1ce549733d46f6b5d0fc9854

Observation 661391fc-e954-4262-a31e-39b9e2e2086e · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Journal of Artificial Intelligence Research , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.124900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.487775Z digest=sha256:e7ae1832d7a3dedb2051712a6f8e8895de8bd304f463b2f83c129b8dcfae22d1

Observation 2c40d46b-e26e-4dd1-a297-0308b1357d35 · outbound

This paper cites Proceedings of the international symposium on combinatorial search , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the international symposium on combinatorial search , volume=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.111229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.491985Z digest=sha256:1ff330f94724b1c8150960e69b1b6cad635e922e434ac1555d7aafc8e4f81271

Observation 2b9ab0f4-e88a-4724-ad40-a2739beb9bdb · outbound

This paper cites Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS) , volume=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS) , volume=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.096829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.496133Z digest=sha256:1fcbcc9bbeb908b3c4a83c69d63b8fff951e68ccd508752b6268efb2b5be6089

Observation b3387dfd-9d09-472e-a272-81eee27d34e6 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.082649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.500541Z digest=sha256:4152eeb8abe42c9887bb47501217855b7aa46e707519fd65602f19d5c7d633e1

Observation 06101982-fd00-4c3d-af5e-af6eb1c8729a · outbound

This paper cites Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.068327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.504565Z digest=sha256:29493139f4a0d6aab328e01ba8eb4f9b97fc08f5d4e13768d32bb6d89d89c39e

Observation 86b637f6-13b0-496a-bbf3-5dd2c85251b9 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.054230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.508728Z digest=sha256:36d979cecd0dbcc8d47cebea0780e6660d1992e62b2a65d7c15cf28970321dd3

Observation f90aa657-eac1-4662-a565-b65284f38db2 · outbound

This paper cites IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.039130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.512894Z digest=sha256:864fb508cb497aaf68ce3893ca1c5c193ffd2386ebde4594e9da914e98e79906

Observation de2acbf5-4b7d-46f5-881a-b2bf2ac65d4f · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations International Conference on Learning Representations (ICLR) , year =

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.023868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.516865Z digest=sha256:fc59b0dd8662c679fe89a39f66db554cddfdbde9beb0adef4085e62d909ccc45

Observation bb85d295-3689-47de-a13f-a3716fa59b12 · outbound

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

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , volume =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:40.010049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.521172Z digest=sha256:4ddf44c705c72522237de630c0d46c14619ecedd9b5e9f38cc57c46b915ee89c

Observation f4e44e33-172f-4543-adce-06f52626cef7 · outbound

This paper cites Engineering LaCAM$^\ast$: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Engineering LaCAM$^\ast$: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.525421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.525421Z digest=sha256:9e7e4509fa3273f62d9c2d64721f3d1fc5fc72d1d1fc024ad0f3b883cd0c095b

Observation 71eb166d-f817-4f38-bdf5-b8d8063ddc14 · outbound

This paper cites Work Smarter Not Harder: Simple Imitation Learning with.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Work Smarter Not Harder: Simple Imitation Learning with

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.995849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.529852Z digest=sha256:8542ed17802bdedc31fbaaa7e8eeed1532234967318bc9c57df79fe14c3823c7

Observation 56da2549-05a2-46a3-8839-6174c4222d72 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , pages=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.981435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.533717Z digest=sha256:70ac4f9df2ce1f941ee4dd1505b5c3ac543056e10ca8e8ca4671f7b55557c5f9

Observation 7910b23e-f8be-4a8a-b3d0-6d43d249e59d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , pages=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.967482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.537460Z digest=sha256:759ad59c8330181c5e50869012975a27872774152bea2708ce31c140be2e9e55

Observation 6a366d69-14e9-47e3-91ed-c2a7e635aae5 · outbound

This paper cites an unresolved cited work.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.541423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.541423Z digest=sha256:bce6db000595ff360f36ab40ba2e3dbbe8cebc24d0b7245b8e7eabe4cd0165fa

Observation b543af79-af8b-4b17-b8bc-ea79cbf45750 · outbound

This paper cites Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation , year=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation , year=

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.943132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.545178Z digest=sha256:681b4daba9184ff12a2230bde20a04029a6ad556c978aad376818a77a5b2cfa8

Observation 1eda110f-4c22-43ea-a41d-7069825ddf84 · outbound

This paper cites Scaling Multi-Agent Environment Co-Design with Diffusion Models.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Scaling Multi-Agent Environment Co-Design with Diffusion Models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.548991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.548991Z digest=sha256:614a31c46fdcb582c2d9cfb028c9a306bfd91b224c1c0760f1d805e1f538540c

Observation 91a1cf1d-d53c-4c5a-825a-a565547bc02c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proximal Policy Optimization Algorithms

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-08T06:04:24.552875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T06:04:24.552875Z digest=sha256:e367c2bcedf487ee1a8e81a9cb9b78534257ebe67e5f1e59abbbaac7df9be7ef

Observation c7a8c47d-c594-49e2-a4c7-86191ffe5d2f · outbound

This paper cites , title =.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations , title =

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.929101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.557236Z digest=sha256:4787887f61610ef11af4b3783d38eb864540da673ad9eee64674ecf59c831ec2

Observation 2064509f-9bb7-4e47-a668-7bc3ecbd0400 · outbound

This paper cites CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance

Reference 80

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T06:04:24.615711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.560907Z digest=sha256:07fa7e07aa5271ad9c53ccbf8c2c40acb17c25fc3c8e31046fd20ff06c4c2186

Observation 1a14ff78-5ca6-4b72-b543-9a30457c0450 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , pages=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.914926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.565029Z digest=sha256:6f9c24628eca85a8b11f0600e5b89ad32f9903d2da5f16790dbac13ec4516114

Observation 9dd86b88-c8d7-4a6d-bc0e-59cc49a96684 · outbound

This paper cites IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.900791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.568877Z digest=sha256:dc47361afe941959c79c1162d0c5c1cc1093556a255c761cc12ee938cbe0a6fc

Observation 3c981e32-dd02-411c-a34d-920478c1d615 · outbound

This paper cites Mean-Field Deep Reinforcement Learning for Multi-Agent Path Finding , year=.

Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations Mean-Field Deep Reinforcement Learning for Multi-Agent Path Finding , year=

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:04:39.886136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-08T06:04:24.572624Z digest=sha256:0e5c1ef387a2791c71c5a49945be323fbac81a54ab3d57efb9691e1dcb8218ca

Pith citing papers

No inbound Pith citation observations are available.