Paper Citation Record · LEDGER

Self-Motivated Multi-Agent Exploration

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2301.02083.

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

pith.paper-citation-record.v1
2301.02083 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:06:43.355023Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T01:06:57.412352Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cd0c5835-3987-46cb-a735-46aee6559c53 · inbound

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning cites this paper.

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning Self-Motivated Multi-Agent Exploration

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:14:59.474790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc033e9a-247d-48eb-bbc0-53df91f6de1c · inbound

TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration cites this paper.

TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration Self-Motivated Multi-Agent Exploration

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:06:43.355023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a4ad8dc-c69f-4fc0-9e65-6c5744d7e3d0 · inbound

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story cites this paper.

Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Self-Motivated Multi-Agent Exploration

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:29.069855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa8ec5f1-ede4-4bbf-9da3-7be0c7032d1f · inbound

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies cites this paper.

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies Self-Motivated Multi-Agent Exploration

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:06:57.415552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.