Paper Citation Record · LEDGER

Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI

As of 22 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2606.09848.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.09848 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T08:21:14.858913Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy2
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1b3153a-78c5-4b08-8a57-08b38628f08a · outbound

This paper cites A case for humans-in-the-loop: Decisions in the presence of erroneous algorithmic scores.

Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI A case for humans-in-the-loop: Decisions in the presence of erroneous algorithmic scores

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T13:12:31.737860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41d82db0-cab4-4416-9163-4b51df265ec1 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T08:25:33.167555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2a9c7b4-0e69-4884-8719-e01c6d1c665b · outbound

This paper cites an unresolved cited work.

Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-06T13:12:31.740409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f89ef02f-e413-4b9c-bb49-bbe68c29f530 · outbound

This paper cites too much transparency is overwhelming?.

Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI too much transparency is overwhelming?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T13:12:31.742385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.