Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.06857.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:32.631015Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d79f250d-47b5-41f4-8c03-a1410e6a8ac7 · inbound
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution cites this paper.
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:47:32.631015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d751c278-a502-4f1a-a10f-6e36313b176a · inbound
Voluntary Collusion with Secret Tools in Competing LLM Agents cites this paper.
Voluntary Collusion with Secret Tools in Competing LLM Agents Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:03:40.248138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7e01444d-e15a-477a-952a-2e0e6cf8cae9 · inbound
Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives cites this paper.
Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:10.202222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.