Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:47:25.980990Z
Paper Citation Record · LEDGER
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation
As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.13942.
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 2026-08-12T06:34:41.77262+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
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 789caaca-9997-4832-8bbb-2c436b748e77 · outbound
This paper cites Kinematic multi-robot manipulation with no communication using force feedback,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Kinematic multi-robot manipulation with no communication using force feedback,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.294501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f7de3ef0-a85a-48ed-a59a-56740fd77c70 · outbound
This paper cites Cooperative manipulation exploiting only implicit communication,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Cooperative manipulation exploiting only implicit communication,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.271285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5ab3159b-9c0a-46e7-85fe-25f6620c4a34 · outbound
This paper cites A collaborative control method of dual-arm robots based on deep reinforcement learning,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation A collaborative control method of dual-arm robots based on deep reinforcement learning,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.253626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5c19af7e-cb21-488f-b086-2f4e67d2fac1 · outbound
This paper cites The surprising effectiveness of PPO in cooperative multi-agent games,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation The surprising effectiveness of PPO in cooperative multi-agent games,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.233231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 97cb0968-9f59-4a86-82bf-734091968e46 · outbound
This paper cites Occlusion-based cooperative transport with a swarm of miniature mobile robots,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Occlusion-based cooperative transport with a swarm of miniature mobile robots,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:47:25.926621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b809b3f2-87ea-46b2-be33-9fa39b22124e · outbound
This paper cites Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.203070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 860df8f4-9058-4df8-91d1-49339ccb94c1 · outbound
This paper cites Cooperative object trans- portation by multiple humanoid robots,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Cooperative object trans- portation by multiple humanoid robots,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.178114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 64ea92d6-e584-40ef-9643-035ea7c959f6 · outbound
This paper cites The need for combining implicit and explicit communication in cooperative robotic systems,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation The need for combining implicit and explicit communication in cooperative robotic systems,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.155575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c2434d34-404d-44e6-b7a5-8c5442b8a8dc · outbound
This paper cites Implicit and explicit communication in decentralized control,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Implicit and explicit communication in decentralized control,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.137649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0c14723d-ff44-4835-b6c4-ce6703021a19 · outbound
This paper cites How can we understand multi-robot systems? a user study to compare implicit and explicit communication modalities,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation How can we understand multi-robot systems? a user study to compare implicit and explicit communication modalities,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.116824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 83aaf3c3-af25-4ec9-82f9-02e0cf591639 · outbound
This paper cites A review of safe reinforcement learning: Methods, theory and applications,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation A review of safe reinforcement learning: Methods, theory and applications,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.098578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e768dd5f-94b6-4c60-8440-9a0923b559d8 · outbound
This paper cites Multi-agent deep reinforcement learning for multi-robot applications: A survey,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Multi-agent deep reinforcement learning for multi-robot applications: A survey,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.082538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f37560b3-5590-4cc2-9813-35759e2e49f9 · outbound
This paper cites Decentralized multi-agent reinforcement learning with global state prediction,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Decentralized multi-agent reinforcement learning with global state prediction,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.064887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8fde9ae5-d51f-4c31-a04c-96ad960a4962 · outbound
This paper cites Asymmetric actor critic for image-based robot learning,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Asymmetric actor critic for image-based robot learning,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.048317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 95083835-d45f-4ddf-b810-f608897affb1 · outbound
This paper cites Towards closing the sim-to-real gap in collaborative multi-robot deep rein- forcement learning,.
Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation Towards closing the sim-to-real gap in collaborative multi-robot deep rein- forcement learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:47:26.032686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.