Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Laws for a Multi-Agent Reinforcement Learning Model
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.00849.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:51.262129Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:36:56.118010Z
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 244df2c4-d199-4ed9-943a-c53ed33b561f · inbound
Meek Models Shall Inherit the Earth cites this paper.
Meek Models Shall Inherit the Earth Scaling Laws for a Multi-Agent Reinforcement Learning Model
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:33:51.262129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06891625-1394-4133-866c-7e4a20abe488 · inbound
Model Merging Scaling Laws in Large Language Models cites this paper.
Model Merging Scaling Laws in Large Language Models Scaling Laws for a Multi-Agent Reinforcement Learning Model
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:32:37.788740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 13870364-e23e-4d30-b6d7-2a00b38a6508 · inbound
Scaling Laws of Global Weather Models cites this paper.
Scaling Laws of Global Weather Models Scaling Laws for a Multi-Agent Reinforcement Learning Model
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:36:37.073859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a5ac36a-c1b4-4282-a76d-88a346a594a7 · inbound
Unified Neural Scaling Laws cites this paper.
Unified Neural Scaling Laws Scaling Laws for a Multi-Agent Reinforcement Learning Model
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T00:14:04.514809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 362734cd-2221-4713-a92d-60d12e094313 · inbound
Two AI Metrics Diverged: Will it Make All the Difference? cites this paper.
Two AI Metrics Diverged: Will it Make All the Difference? Scaling Laws for a Multi-Agent Reinforcement Learning Model
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:36:56.119275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c7932402-ba4f-4643-b232-4a0163736cac · inbound
Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning cites this paper.
Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Scaling Laws for a Multi-Agent Reinforcement Learning Model
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T03:08:01.590659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.