Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15096.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T17:09:18.054804Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:16:24.716984Z
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 574ea661-28e7-4779-b686-27376f9cd4e2 · inbound
Differentiable Normative Guidance for Nash Bargaining Solution Recovery cites this paper.
Differentiable Normative Guidance for Nash Bargaining Solution Recovery Towards General Negotiation Strategies with End-to-End Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:09:18.054804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2150f792-bd70-40fe-932c-310f8431abf6 · inbound
Conditional Graph Diffusion for Negotiation Support: Overcoming Discrete Infeasibility and Preference Elicitation Gaps cites this paper.
Conditional Graph Diffusion for Negotiation Support: Overcoming Discrete Infeasibility and Preference Elicitation Gaps Towards General Negotiation Strategies with End-to-End Reinforcement Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:16:24.718977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.