Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T18:58:14.701248Z
Paper Citation Record · LEDGER
Learning to Orchestrate Agents under Uncertainty
As of 11 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2605.27073.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 985fcbea-d805-44ba-9fee-a5058d3c1c5d · outbound
This paper cites The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning.
Learning to Orchestrate Agents under Uncertainty The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:03:51.307523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e3c4f276-7bfc-4d88-8a54-26902ded9735 · outbound
This paper cites 14 Wang, Q.
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T18:58:14.701248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 019cb23d-5348-4dc1-8adf-9a54a3c61266 · outbound
This paper cites For anyλ∈R , convexity of y7→e λy on[0,1]implies that for everyy∈[0,1], eλy ≤(1−y)e 0 +ye λ = 1−y+ye λ.
Learning to Orchestrate Agents under Uncertainty For anyλ∈R , convexity of y7→e λy on[0,1]implies that for everyy∈[0,1], eλy ≤(1−y)e 0 +ye λ = 1−y+ye λ
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T18:58:14.701248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.