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Paper Citation Record · LEDGER

Learning to Complement with Multiple Humans

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.13172.

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

pith.paper-citation-record.v1
2311.13172 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:10:14.088267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:46:13.493612Z

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 b63c14c6-fd9c-4e63-b7b6-7cbfe09ab30f · inbound

Coverage-Constrained Human-AI Cooperation with Multiple Experts cites this paper.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning to Complement with Multiple Humans

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-12T18:10:14.088267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:10:14.088267Z digest=sha256:188c1f8a95b5655f737aafe51ec0d5bfee2b157f221cd928c2d1b9a9a9cb3120

Observation e68f0152-fbdc-4ae6-9a87-c7eb8e72e857 · inbound

PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams cites this paper.

PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams Learning to Complement with Multiple Humans

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:13.495236Z

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.

source=pdf_text observed=2026-05-12T01:46:02.630108Z digest=sha256:03e7d4c4cbd540d9160b74a14e1378b06cb435168b2fd6167eaa7721e18ab216