Paper Citation Record · LEDGER

Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation

As of 22 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.

pith.paper-citation-record.v1
2411.13942 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:47:25.980990Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.