{"as_of":"2026-07-15T02:11:00Z","canonical_paper_id":"PDGMLV4C","canonical_url":"https://pith.science/paper/PDGMLV4C/integrity","context_digest":"sha256:0fdca69af43026accdcd5f026a182a1942a01a637fa3ac71645d63d013b00d75","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/1709.04205","bundle_json":"/pith/PDGMLV4CRFPTGNKSUBKDW4PHXY/bundle.json","citation_record":"/paper/PDGMLV4C/citation-record","evidence":"/evidence","html":"/paper/PDGMLV4C/integrity","integrity_json":"/paper/PDGMLV4C/integrity.json","json":"/paper/PDGMLV4C/integrity.json","legacy_integrity_json":"/pith/PDGMLV4C/integrity.json","paper":"/paper/PDGMLV4C","reference_changes":"/flags?citing=PDGMLV4C"},"paper":{"arxiv_id":"1709.04205","latest_version":2,"primary_cat":"astro-ph.CO","title":"Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks"},"pith_number":"pith:2017:PDGMLV4CRFPTGNKSUBKDW4PHXY","pith_short":"PDGMLV4CRFPTGNKSUBKDW4PHXY","record":{"arxiv_id":"1709.04205","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:1709.04205. 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"}