Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T02:48:50.608858Z
Paper Citation Record · LEDGER
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning
As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2605.14212.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved34
- parse uncertain2
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b197a18c-349e-460f-ae2f-727f5c00ec64 · outbound
This paper cites Yujie Zhao, Hejia Zhang, Hanxian Huang, Zhongming Yu, and Jishen Zhao.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Yujie Zhao, Hejia Zhang, Hanxian Huang, Zhongming Yu, and Jishen Zhao
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:49:41.462747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd2d2f74-0482-4be2-b1db-dc21cf3bc76a · outbound
This paper cites 14 Figure 4: Sensitivity analysis on the stage length for designer–executor alternation.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning 14 Figure 4: Sensitivity analysis on the stage length for designer–executor alternation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:59.002520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f72aec39-cb40-43ae-b72f-b8e7a2cbe420 · outbound
This paper cites (...).
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.977237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bfbe3bbd-7f6b-44a3-bcea-49dbabe00eba · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.884617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 355a50ef-03ae-4906-9414-0a490764ff5d · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.897190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 69672104-c9ea-48e2-9e28-b54b20cd5d84 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.980782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 833d554e-33cb-427f-b218-65b48eb44d28 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.933517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 10a0a766-138f-4f95-9cbc-77d9a7276170 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.969827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b10b5724-fff4-465d-a589-52ca92107ac9 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.900940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 408e5425-cfc5-4714-9090-aadc0753469c · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:59.016465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 043e218a-c289-49bd-b560-47192730151a · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.995239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fa941ff8-4777-4a83-ab1b-48422ad77193 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.998884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 04a3511d-13d8-4f5b-bf1f-72ede22df9b7 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:59.012595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6426924d-1b2c-4e7a-af8d-e7f6c12454d9 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.818084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08308e11-4d4a-433d-9ca8-9ee77d8b7056 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.772609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4cf2484d-6cd1-4828-8e91-d6f7a5e107af · outbound
This paper cites This is a combinatorial counting problem with linear constraints.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning This is a combinatorial counting problem with linear constraints
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.823014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3e892142-58f1-42fd-8035-badfca15d5d3 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.991334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 40bf0500-cfe3-4d4e-bf67-33897874a5dc · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.791094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a8882a28-5b5b-4fee-8b94-df020549033f · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.857753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2858cdaa-c3de-4ac1-a423-b7ce3f533de1 · outbound
This paper cites AlgebraicSolver.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning AlgebraicSolver
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:59.020593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a262460f-b86f-4f79-8a93-952836cf5a67 · outbound
This paper cites eversions.
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.945050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c6de38e2-5f6e-46b1-80a6-2568868f178f · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.764284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ee58716-8ace-4f1c-8acd-3b27214b1fcd · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.836024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c23e20f-0e00-4264-a70c-952cb3a6e663 · outbound
This paper cites We need to compute the number of eversions until this happens.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning We need to compute the number of eversions until this happens
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.948760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e392a22-2801-44fd-8a0e-6d6dea01d46a · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.843828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1e433f53-bae9-435d-966a-1da25aad7e4f · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.861568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f71727ce-ebf3-4fd8-87b6-53de6e52a3e2 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.922755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74ecce02-09be-46ab-8108-dbaab4306bdf · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.850145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6d6bb50d-589d-4cf9-93ab-bb6a5e71ebb9 · outbound
This paper cites ""Execute Python code and return stdout/stderr.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning ""Execute Python code and return stdout/stderr
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.917552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c3a2a93a-f48f-433b-97c3-d7b1788c78b5 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 30
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-15T04:04:58.937068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a3fbcb87-b90e-4712-9fe3-fa5095c1290e · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.786199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6eb09084-9df5-4ce0-be60-28a16b7e038c · outbound
This paper cites Let me test with the example.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Let me test with the example
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.984117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 05108c5e-bcbb-4b3f-aeff-2d8bf4ff62ea · outbound
This paper cites if current < M , then M is the maximum element > current.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning if current < M , then M is the maximum element > current
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.876933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c03b683a-0b7d-41d7-ad56-ead13c54a175 · outbound
This paper cites It only describes the problem and the insight but doesn’t give a working solution.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning It only describes the problem and the insight but doesn’t give a working solution
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.888956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation acf96b50-5de3-492f-89ef-22e8669551a6 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.941446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 75d899d0-3126-43e1-9172-fbb89053f550 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.973285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1b4e00f-f1f5-4230-ae0b-26c4084f912b · outbound
This paper cites max of elements > current.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning max of elements > current
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.872067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 77c3956e-6c09-462b-ba2d-f73e252ffd47 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.830344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3bab8f90-e416-4ae2-aced-ce5bdd607f24 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.910346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c8175efe-ed9e-4430-87e7-b6b86a204458 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.951969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dbb267c0-d8b6-48a6-bb78-ab09efc9dcb2 · outbound
This paper cites \n".join(map(str, results))) if __name__ ==.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning \n".join(map(str, results))) if __name__ ==
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.892589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 12ea2b69-6678-488a-9242-de7eefa9801a · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.955270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd28643a-0479-44a2-bcc7-9c0e0a01d77c · outbound
This paper cites MathSolver.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.803958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a5339e4d-2a65-4eec-bf02-7e978c787604 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.797934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aea23084-f501-406a-93e4-34f35797cec9 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.776929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 868e0ead-a7f3-468c-b141-39f25730b36f · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.926501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 57ecd853-b4ef-4f64-9a83-e50e54ad7b53 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.814064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation affded30-a78d-4f4f-9f1c-891e47baf6dd · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.966384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 47f0e61c-3cc9-4634-a1d5-01c96cef010e · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T04:04:58.962411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 36fe7b2f-948b-42f5-9c6d-ec44abd7fb4c · outbound
This paper cites eight circles of radius 34 are sequentially tangent, and two of the circles are tangent to AB and BC of triangle ABC, respectively.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning eight circles of radius 34 are sequentially tangent, and two of the circles are tangent to AB and BC of triangle ABC, respectively
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.809924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f0339a00-87ee-402c-8c4b-03aebdb031d8 · outbound
This paper cites an unresolved cited work.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Unresolved cited work
Reference 51
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-15T04:04:58.866202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 017d6586-7977-406e-883a-7d3aa6dd3b80 · outbound
This paper cites 238 = 2 * 7 * 17; 2023 = 7 * 17^2.
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning 238 = 2 * 7 * 17; 2023 = 7 * 17^2
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T04:04:58.905957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.