{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:GUGEMYWRQMEH674OBJS2XZ3NUY","short_pith_number":"pith:GUGEMYWR","schema_version":"1.0","canonical_sha256":"350c4662d183087f7f8e0a65abe76da6185ea4cf34393ae036e3501b514bbd6b","source":{"kind":"arxiv","id":"2012.02006","version":5},"attestation_state":"computed","paper":{"title":"AugSplicing: Synchronized Behavior Detection in Streaming Tensors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.SI","stat.ML"],"primary_cat":"cs.DB","authors_text":"Huawei Shen, Jiabao Zhang, Shenghua Liu, Siddharth Bhatia, Wenjian Yu, Wenting Hou, Xueqi Cheng","submitted_at":"2020-12-03T15:39:58Z","abstract_excerpt":"How can we track synchronized behavior in a stream of time-stamped tuples, such as mobile devices installing and uninstalling applications in the lockstep, to boost their ranks in the app store? We model such tuples as entries in a streaming tensor, which augments attribute sizes in its modes over time. Synchronized behavior tends to form dense blocks (i.e. subtensors) in such a tensor, signaling anomalous behavior, or interesting communities. However, existing dense block detection methods are either based on a static tensor, or lack an efficient algorithm in a streaming setting. Therefore, w"},"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":"2012.02006","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2020-12-03T15:39:58Z","cross_cats_sorted":["cs.LG","cs.SI","stat.ML"],"title_canon_sha256":"36811e55516cae01ef30ca6c8d1b40375da54f60eec3b39a5613741933097a67","abstract_canon_sha256":"bb9b8b11aba90dbf2f8109b4ba656aa5c9bcc55a9d6410243e56a509fea3c9e0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:27:33.141376Z","signature_b64":"Q24nrANIBlifPALwlYrjeiJO6ngwIWjaQsFp24urRVAxPsJ3kGq0OyQiaVhni/KCKJE5zmZryQL/FPelmZzeDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"350c4662d183087f7f8e0a65abe76da6185ea4cf34393ae036e3501b514bbd6b","last_reissued_at":"2026-07-05T02:27:33.140784Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:27:33.140784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AugSplicing: Synchronized Behavior Detection in Streaming Tensors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.SI","stat.ML"],"primary_cat":"cs.DB","authors_text":"Huawei Shen, Jiabao Zhang, Shenghua Liu, Siddharth Bhatia, Wenjian Yu, Wenting Hou, Xueqi Cheng","submitted_at":"2020-12-03T15:39:58Z","abstract_excerpt":"How can we track synchronized behavior in a stream of time-stamped tuples, such as mobile devices installing and uninstalling applications in the lockstep, to boost their ranks in the app store? We model such tuples as entries in a streaming tensor, which augments attribute sizes in its modes over time. Synchronized behavior tends to form dense blocks (i.e. subtensors) in such a tensor, signaling anomalous behavior, or interesting communities. However, existing dense block detection methods are either based on a static tensor, or lack an efficient algorithm in a streaming setting. Therefore, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.02006","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2012.02006/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2012.02006","created_at":"2026-07-05T02:27:33.140851+00:00"},{"alias_kind":"arxiv_version","alias_value":"2012.02006v5","created_at":"2026-07-05T02:27:33.140851+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.02006","created_at":"2026-07-05T02:27:33.140851+00:00"},{"alias_kind":"pith_short_12","alias_value":"GUGEMYWRQMEH","created_at":"2026-07-05T02:27:33.140851+00:00"},{"alias_kind":"pith_short_16","alias_value":"GUGEMYWRQMEH674O","created_at":"2026-07-05T02:27:33.140851+00:00"},{"alias_kind":"pith_short_8","alias_value":"GUGEMYWR","created_at":"2026-07-05T02:27:33.140851+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/GUGEMYWRQMEH674OBJS2XZ3NUY","json":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY.json","graph_json":"https://pith.science/api/pith-number/GUGEMYWRQMEH674OBJS2XZ3NUY/graph.json","events_json":"https://pith.science/api/pith-number/GUGEMYWRQMEH674OBJS2XZ3NUY/events.json","paper":"https://pith.science/paper/GUGEMYWR"},"agent_actions":{"view_html":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY","download_json":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY.json","view_paper":"https://pith.science/paper/GUGEMYWR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2012.02006&json=true","fetch_graph":"https://pith.science/api/pith-number/GUGEMYWRQMEH674OBJS2XZ3NUY/graph.json","fetch_events":"https://pith.science/api/pith-number/GUGEMYWRQMEH674OBJS2XZ3NUY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY/action/storage_attestation","attest_author":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY/action/author_attestation","sign_citation":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY/action/citation_signature","submit_replication":"https://pith.science/pith/GUGEMYWRQMEH674OBJS2XZ3NUY/action/replication_record"}},"created_at":"2026-07-05T02:27:33.140851+00:00","updated_at":"2026-07-05T02:27:33.140851+00:00"}