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Paper Citation Record · LEDGER

Composing Ensembles of Pre-trained Models via Iterative Consensus

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.11522.

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

pith.paper-citation-record.v1
2210.11522 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:31:07.083418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:01:45.260163Z

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 c6780f64-0d39-42fe-ab55-6599f04f9dd2 · inbound

Improving Factuality and Reasoning in Language Models through Multiagent Debate cites this paper.

Improving Factuality and Reasoning in Language Models through Multiagent Debate Composing Ensembles of Pre-trained Models via Iterative Consensus

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:01:45.262133Z

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.

source=pdf_text observed=2026-05-12T03:01:45.164412Z digest=sha256:375c0e3d025c392d69bc4898d4c9386151e85914d972f280c87353203cca73cf

Observation 72cccb25-29bc-499c-b59b-04a1bc484905 · inbound

Compositional Scene Understanding through Inverse Generative Modeling cites this paper.

Compositional Scene Understanding through Inverse Generative Modeling Composing Ensembles of Pre-trained Models via Iterative Consensus

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:31:07.083418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:31:07.083418Z digest=sha256:944e6a9c75e72952da68135259434cdb2f13a5549b833e5db65309a0bf9b3bbf