Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.03255.
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 2026-08-07T13:41:44.255840Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:14:00.057178Z
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 564fc6df-8523-4eac-a8b2-f5bb12dd6a11 · inbound
PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models cites this paper.
PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:41:44.255840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b08e346a-8ae3-4868-ad5a-320001270ca4 · inbound
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy cites this paper.
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:51:58.115495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52a2f73c-decc-435a-9ef6-01fb705a4f5c · inbound
KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition cites this paper.
KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:14:00.058906Z
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 62bd992d-e2ea-44b1-aae3-367d8bd9173a · inbound
Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions cites this paper.
Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:27:13.167745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.