{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:KCZLQOU4LVWCE6PVTLSNYJDA3Q","short_pith_number":"pith:KCZLQOU4","schema_version":"1.0","canonical_sha256":"50b2b83a9c5d6c2279f59ae4dc2460dc0c90310fef77a5dbcc77b3fc4e0d0f9c","source":{"kind":"arxiv","id":"1106.3809","version":1},"attestation_state":"computed","paper":{"title":"Fisher Information in Flow Size Distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT"],"primary_cat":"cs.IT","authors_text":"Darryl Veitch, Paul Tune","submitted_at":"2011-06-20T05:25:20Z","abstract_excerpt":"The flow size distribution is a useful metric for traffic modeling and management. Its estimation based on sampled data, however, is problematic. Previous work has shown that flow sampling (FS) offers enormous statistical benefits over packet sampling but high resource requirements precludes its use in routers. We present Dual Sampling (DS), a two-parameter family, which, to a large extent, provide FS-like statistical performance by approaching FS continuously, with just packet-sampling-like computational cost. Our work utilizes a Fisher information based approach recently used to evaluate a n"},"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":"1106.3809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2011-06-20T05:25:20Z","cross_cats_sorted":["cs.NI","math.IT"],"title_canon_sha256":"68c92428784a1717fed78ed8a77a1cb7002b0819d29d2d11906aeb6fb5f59f0c","abstract_canon_sha256":"05e1e2452b626aa94a5079eea8255ffa3c346c82ed663c4f04afe774260917d3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:19:42.092951Z","signature_b64":"TcmULNZtrP45CRlWXil0+GGSrLV8nwtpDnJvNGXkaaGCnOETaBzeMpW9uHN7nGN69iF71VPiL4GGRdr4paZVDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50b2b83a9c5d6c2279f59ae4dc2460dc0c90310fef77a5dbcc77b3fc4e0d0f9c","last_reissued_at":"2026-05-18T04:19:42.092471Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:19:42.092471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fisher Information in Flow Size Distribution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT"],"primary_cat":"cs.IT","authors_text":"Darryl Veitch, Paul Tune","submitted_at":"2011-06-20T05:25:20Z","abstract_excerpt":"The flow size distribution is a useful metric for traffic modeling and management. Its estimation based on sampled data, however, is problematic. Previous work has shown that flow sampling (FS) offers enormous statistical benefits over packet sampling but high resource requirements precludes its use in routers. We present Dual Sampling (DS), a two-parameter family, which, to a large extent, provide FS-like statistical performance by approaching FS continuously, with just packet-sampling-like computational cost. Our work utilizes a Fisher information based approach recently used to evaluate a n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.3809","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":"1106.3809","created_at":"2026-05-18T04:19:42.092540+00:00"},{"alias_kind":"arxiv_version","alias_value":"1106.3809v1","created_at":"2026-05-18T04:19:42.092540+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.3809","created_at":"2026-05-18T04:19:42.092540+00:00"},{"alias_kind":"pith_short_12","alias_value":"KCZLQOU4LVWC","created_at":"2026-05-18T12:26:32.869790+00:00"},{"alias_kind":"pith_short_16","alias_value":"KCZLQOU4LVWCE6PV","created_at":"2026-05-18T12:26:32.869790+00:00"},{"alias_kind":"pith_short_8","alias_value":"KCZLQOU4","created_at":"2026-05-18T12:26:32.869790+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/KCZLQOU4LVWCE6PVTLSNYJDA3Q","json":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q.json","graph_json":"https://pith.science/api/pith-number/KCZLQOU4LVWCE6PVTLSNYJDA3Q/graph.json","events_json":"https://pith.science/api/pith-number/KCZLQOU4LVWCE6PVTLSNYJDA3Q/events.json","paper":"https://pith.science/paper/KCZLQOU4"},"agent_actions":{"view_html":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q","download_json":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q.json","view_paper":"https://pith.science/paper/KCZLQOU4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1106.3809&json=true","fetch_graph":"https://pith.science/api/pith-number/KCZLQOU4LVWCE6PVTLSNYJDA3Q/graph.json","fetch_events":"https://pith.science/api/pith-number/KCZLQOU4LVWCE6PVTLSNYJDA3Q/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q/action/storage_attestation","attest_author":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q/action/author_attestation","sign_citation":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q/action/citation_signature","submit_replication":"https://pith.science/pith/KCZLQOU4LVWCE6PVTLSNYJDA3Q/action/replication_record"}},"created_at":"2026-05-18T04:19:42.092540+00:00","updated_at":"2026-05-18T04:19:42.092540+00:00"}