{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:ZT6ELT6UXLB6Q4P2MDWRFEAHLL","short_pith_number":"pith:ZT6ELT6U","schema_version":"1.0","canonical_sha256":"ccfc45cfd4bac3e871fa60ed1290075af3210772782b898771b5e6b2ed0665c1","source":{"kind":"arxiv","id":"1705.00645","version":1},"attestation_state":"computed","paper":{"title":"A General Framework For Task-Oriented Network Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Chris Kanich, Ivan Brugere, Tanya Y. Berger-Wolf","submitted_at":"2017-05-01T18:16:45Z","abstract_excerpt":"We present a brief introduction to a flexible, general network inference framework which models data as a network space, sampled to optimize network structure to a particular task. We introduce a formal problem statement related to influence maximization in networks, where the network structure is not given as input, but learned jointly with an influence maximization solution."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1705.00645","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-05-01T18:16:45Z","cross_cats_sorted":[],"title_canon_sha256":"7759bbd0142a29fbe03a2dec3bcd099d8854ab3d4571ddfa558f48849fba0d35","abstract_canon_sha256":"e76d77c3fe59b41f8c752d616e2323e2afdede5eae9372c317f78405b84fe0ec"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:10.255241Z","signature_b64":"dnL/vyCqJ5zV3nTEg6df9C4b2elaZ9CSYWBKYLjyNbgQvdj5PacqyY4jhpZjq3Juu4TEEFGhX2zsjICO2CJ/Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccfc45cfd4bac3e871fa60ed1290075af3210772782b898771b5e6b2ed0665c1","last_reissued_at":"2026-05-18T00:45:10.254671Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:10.254671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A General Framework For Task-Oriented Network Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Chris Kanich, Ivan Brugere, Tanya Y. Berger-Wolf","submitted_at":"2017-05-01T18:16:45Z","abstract_excerpt":"We present a brief introduction to a flexible, general network inference framework which models data as a network space, sampled to optimize network structure to a particular task. We introduce a formal problem statement related to influence maximization in networks, where the network structure is not given as input, but learned jointly with an influence maximization solution."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.00645","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1705.00645","created_at":"2026-05-18T00:45:10.254771+00:00"},{"alias_kind":"arxiv_version","alias_value":"1705.00645v1","created_at":"2026-05-18T00:45:10.254771+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.00645","created_at":"2026-05-18T00:45:10.254771+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZT6ELT6UXLB6","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZT6ELT6UXLB6Q4P2","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZT6ELT6U","created_at":"2026-05-18T12:31:59.375834+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1907.00932","citing_title":"A Framework For Identifying Group Behavior Of Wild Animals","ref_index":2,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL","json":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL.json","graph_json":"https://pith.science/api/pith-number/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/graph.json","events_json":"https://pith.science/api/pith-number/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/events.json","paper":"https://pith.science/paper/ZT6ELT6U"},"agent_actions":{"view_html":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL","download_json":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL.json","view_paper":"https://pith.science/paper/ZT6ELT6U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1705.00645&json=true","fetch_graph":"https://pith.science/api/pith-number/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/graph.json","fetch_events":"https://pith.science/api/pith-number/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/action/storage_attestation","attest_author":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/action/author_attestation","sign_citation":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/action/citation_signature","submit_replication":"https://pith.science/pith/ZT6ELT6UXLB6Q4P2MDWRFEAHLL/action/replication_record"}},"created_at":"2026-05-18T00:45:10.254771+00:00","updated_at":"2026-05-18T00:45:10.254771+00:00"}