{"as_of":"2026-07-22T08:24:00Z","canonical_paper_id":"1909.07887","canonical_url":"https://pith.science/paper/1909.07887/integrity","context_digest":"sha256:96d4911c83693ff8056a70e335f9ec409cf6a9ff2795afc56bfd554c9c765b14","coverage_summary":[],"findings":[],"findings_empty_copy":"No checks are listed for this paper yet.","findings_observation_state":"no_listed_checks","links":{"arxiv":"https://arxiv.org/abs/1909.07887","bundle_json":"/pith/IA4O7E2D5RHKSYGCMKWYLGSWQ2/bundle.json","citation_record":"/paper/1909.07887/citation-record","evidence":"/evidence","html":"/paper/1909.07887/integrity","integrity_json":"/paper/1909.07887/integrity.json","json":"/paper/1909.07887/integrity.json","legacy_integrity_json":"/pith/1909.07887/integrity.json","paper":"/paper/1909.07887","reference_changes":"/flags?citing=1909.07887"},"paper":{"arxiv_id":"1909.07887","latest_version":2,"primary_cat":"cs.RO","title":"Inferring and Learning Multi-Robot Policies by Observing an Expert"},"pith_number":"pith:2019:IA4O7E2D5RHKSYGCMKWYLGSWQ2","pith_short":"IA4O7E2D5RHKSYGCMKWYLGSWQ2","record":{"arxiv_id":"1909.07887","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:1909.07887. No listed check completed, so this record makes no findings claim.","counts":{"completed":0,"failed":0,"listed":0,"not_collected":0,"not_requested":0,"partial":0,"public_findings_from_completed":0,"skipped":0,"unavailable":0,"withheld":0},"coverage":[],"observed_at":null,"refusal":"This is a record of named checks, not a clean-status claim or a paper verdict.","schema":"pith.integrity.v1"},"schema":"pith.paper-integrity-record.v1","species":"LEDGER"}