Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.11137.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:06:23.680034Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 68e8ef3f-021f-44f6-93f5-41c99cdb020c · inbound
Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective cites this paper.
Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:06:23.680034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c6a0027-bdcd-4bf2-90d8-29111ca09db6 · inbound
On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment cites this paper.
On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T11:44:36.481590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.