{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XL4ECR72XH5JSZU2KDGHTZDJ2W","short_pith_number":"pith:XL4ECR72","schema_version":"1.0","canonical_sha256":"baf84147fab9fa99669a50cc79e469d5a9262752d5d2ebce957c6c52bfc94365","source":{"kind":"arxiv","id":"1703.03858","version":2},"attestation_state":"computed","paper":{"title":"Uncertainty Reduction for Stochastic Processes on Complex Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"physics.soc-ph","authors_text":"Claudio Castellano, Filippo Radicchi","submitted_at":"2017-03-10T22:25:31Z","abstract_excerpt":"Many real-world systems are characterized by stochastic dynamical rules where a complex network of interactions among individual elements probabilistically determines their state. Even with full knowledge of the network structure and of the stochastic rules, the ability to predict system configurations is generally characterized by a large uncertainty. Selecting a fraction of the nodes and observing their state may help to reduce the uncertainty about the unobserved nodes. However, choosing these points of observation in an optimal way is a highly nontrivial task, depending on the nature of th"},"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":"1703.03858","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-03-10T22:25:31Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"fc3a8ab7693afd7ece30ea3aaa004ba9591bb2f955a8cec16cbc12325b95044a","abstract_canon_sha256":"8c391ec14966ed86ff68052768e84a599d5b68bfc2b231f61a3f2832d3fe0fec"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:09.254562Z","signature_b64":"nVYbBpZW3/TTWYxYr64qpgyPU3KbRo0l9dUBI9xspYMrPdxpdsJmoOMK/mfbNU8+v3o5wAIvGOyoXSpr9nY2AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"baf84147fab9fa99669a50cc79e469d5a9262752d5d2ebce957c6c52bfc94365","last_reissued_at":"2026-05-18T00:16:09.253807Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:09.253807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Uncertainty Reduction for Stochastic Processes on Complex Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"physics.soc-ph","authors_text":"Claudio Castellano, Filippo Radicchi","submitted_at":"2017-03-10T22:25:31Z","abstract_excerpt":"Many real-world systems are characterized by stochastic dynamical rules where a complex network of interactions among individual elements probabilistically determines their state. Even with full knowledge of the network structure and of the stochastic rules, the ability to predict system configurations is generally characterized by a large uncertainty. Selecting a fraction of the nodes and observing their state may help to reduce the uncertainty about the unobserved nodes. However, choosing these points of observation in an optimal way is a highly nontrivial task, depending on the nature of th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03858","kind":"arxiv","version":2},"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":"1703.03858","created_at":"2026-05-18T00:16:09.253950+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.03858v2","created_at":"2026-05-18T00:16:09.253950+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03858","created_at":"2026-05-18T00:16:09.253950+00:00"},{"alias_kind":"pith_short_12","alias_value":"XL4ECR72XH5J","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XL4ECR72XH5JSZU2","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XL4ECR72","created_at":"2026-05-18T12:31:56.362134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W","json":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W.json","graph_json":"https://pith.science/api/pith-number/XL4ECR72XH5JSZU2KDGHTZDJ2W/graph.json","events_json":"https://pith.science/api/pith-number/XL4ECR72XH5JSZU2KDGHTZDJ2W/events.json","paper":"https://pith.science/paper/XL4ECR72"},"agent_actions":{"view_html":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W","download_json":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W.json","view_paper":"https://pith.science/paper/XL4ECR72","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.03858&json=true","fetch_graph":"https://pith.science/api/pith-number/XL4ECR72XH5JSZU2KDGHTZDJ2W/graph.json","fetch_events":"https://pith.science/api/pith-number/XL4ECR72XH5JSZU2KDGHTZDJ2W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W/action/storage_attestation","attest_author":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W/action/author_attestation","sign_citation":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W/action/citation_signature","submit_replication":"https://pith.science/pith/XL4ECR72XH5JSZU2KDGHTZDJ2W/action/replication_record"}},"created_at":"2026-05-18T00:16:09.253950+00:00","updated_at":"2026-05-18T00:16:09.253950+00:00"}