Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.01281.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T20:22:03.938518Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T01:29:22.361097Z
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 3bd05ed0-38a9-4f06-9e6b-32cbaa6a1827 · inbound
On the notion of number in humans and machines cites this paper.
On the notion of number in humans and machines Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T15:00:57.445188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 58115374-c171-405f-8e6c-5ab6fed567fe · inbound
Neural Network Verification for the Masses (of AI graduates) cites this paper.
Neural Network Verification for the Masses (of AI graduates) Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T11:25:42.156643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8f240c17-7c18-4a48-83fb-a598a4979438 · inbound
Arena: a toolkit for Multi-Agent Reinforcement Learning cites this paper.
Arena: a toolkit for Multi-Agent Reinforcement Learning Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T18:36:19.055500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6091da77-36a0-4fef-aa6b-11f8ca234899 · inbound
Dota 2 with Large Scale Deep Reinforcement Learning cites this paper.
Dota 2 with Large Scale Deep Reinforcement Learning Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T22:18:15.804673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d91981fe-2ca5-4c8d-b97a-0729fd598eb8 · inbound
Scaling Self-Play for End-to-End Driving cites this paper.
Scaling Self-Play for End-to-End Driving Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T01:29:22.362634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.