{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:7IYZVE64OF5L6HRGHYLBZSELUO","short_pith_number":"pith:7IYZVE64","canonical_record":{"source":{"id":"1502.02215","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-08T06:18:55Z","cross_cats_sorted":["cs.CY","cs.SE"],"title_canon_sha256":"e8e37b01f1bd2001ef84749db6f2e9816b4c795f051001072e9612f677d40199","abstract_canon_sha256":"d8d742b62fdba7b9d5387fe9a27f5ecc4245b92fae2bf7487bcdb54b4c7b8bad"},"schema_version":"1.0"},"canonical_sha256":"fa319a93dc717abf1e263e161cc88ba3a8b73c0b992f5122e8ea6fd86e45951b","source":{"kind":"arxiv","id":"1502.02215","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.02215","created_at":"2026-05-18T02:27:43Z"},{"alias_kind":"arxiv_version","alias_value":"1502.02215v1","created_at":"2026-05-18T02:27:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.02215","created_at":"2026-05-18T02:27:43Z"},{"alias_kind":"pith_short_12","alias_value":"7IYZVE64OF5L","created_at":"2026-05-18T12:29:10Z"},{"alias_kind":"pith_short_16","alias_value":"7IYZVE64OF5L6HRG","created_at":"2026-05-18T12:29:10Z"},{"alias_kind":"pith_short_8","alias_value":"7IYZVE64","created_at":"2026-05-18T12:29:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:7IYZVE64OF5L6HRGHYLBZSELUO","target":"record","payload":{"canonical_record":{"source":{"id":"1502.02215","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-08T06:18:55Z","cross_cats_sorted":["cs.CY","cs.SE"],"title_canon_sha256":"e8e37b01f1bd2001ef84749db6f2e9816b4c795f051001072e9612f677d40199","abstract_canon_sha256":"d8d742b62fdba7b9d5387fe9a27f5ecc4245b92fae2bf7487bcdb54b4c7b8bad"},"schema_version":"1.0"},"canonical_sha256":"fa319a93dc717abf1e263e161cc88ba3a8b73c0b992f5122e8ea6fd86e45951b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:27:43.313548Z","signature_b64":"tBSBEIcxKF6vmcyPSR4Z/DnxKmnaskHnuzuRsAs3AyvE0F2oJF19r3LJwIMuWj7ycC4jBkUtAFVjeH7Fn8ZqAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa319a93dc717abf1e263e161cc88ba3a8b73c0b992f5122e8ea6fd86e45951b","last_reissued_at":"2026-05-18T02:27:43.312955Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:27:43.312955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1502.02215","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:27:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vqw+yVytP+JdHGTxWeNF/icYY92pxZdxbPYZziLs2QVH/OCA9sj5kX91ehCUES2cYvhv57kSXG0Y539i1b0qAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T10:06:38.326298Z"},"content_sha256":"209d6929909f986b65d2aee1b18da80e78ef20b1e4ab97601d791dded914118d","schema_version":"1.0","event_id":"sha256:209d6929909f986b65d2aee1b18da80e78ef20b1e4ab97601d791dded914118d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:7IYZVE64OF5L6HRGHYLBZSELUO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Real World Applications of Machine Learning Techniques over Large Mobile Subscriber Datasets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","cs.SE"],"primary_cat":"cs.LG","authors_text":"Arun Soman, Chitharanj Kachappilly, Jobin Wilson, Prateek Kapadia, Rakesh Mohan, Santanu Chaudhury","submitted_at":"2015-02-08T06:18:55Z","abstract_excerpt":"Communication Service Providers (CSPs) are in a unique position to utilize their vast transactional data assets generated from interactions of subscribers with network elements as well as with other subscribers. CSPs could leverage its data assets for a gamut of applications such as service personalization, predictive offer management, loyalty management, revenue forecasting, network capacity planning, product bundle optimization and churn management to gain significant competitive advantage. However, due to the sheer data volume, variety, velocity and veracity of mobile subscriber datasets, s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.02215","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:27:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfqT3YhEmtkQV4TgcXrlYHP/6+W0XJm/ycxVaPvsQycpq7q8kdRIC0CJVZKeMEyWQP+UtQ7MgbA1sIXzQs3bDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T10:06:38.326667Z"},"content_sha256":"fac19832824475c0abbc1a98a530b547f5c0b37291852a0657c3cee2d698073e","schema_version":"1.0","event_id":"sha256:fac19832824475c0abbc1a98a530b547f5c0b37291852a0657c3cee2d698073e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7IYZVE64OF5L6HRGHYLBZSELUO/bundle.json","state_url":"https://pith.science/pith/7IYZVE64OF5L6HRGHYLBZSELUO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7IYZVE64OF5L6HRGHYLBZSELUO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T10:06:38Z","links":{"resolver":"https://pith.science/pith/7IYZVE64OF5L6HRGHYLBZSELUO","bundle":"https://pith.science/pith/7IYZVE64OF5L6HRGHYLBZSELUO/bundle.json","state":"https://pith.science/pith/7IYZVE64OF5L6HRGHYLBZSELUO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7IYZVE64OF5L6HRGHYLBZSELUO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:7IYZVE64OF5L6HRGHYLBZSELUO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d8d742b62fdba7b9d5387fe9a27f5ecc4245b92fae2bf7487bcdb54b4c7b8bad","cross_cats_sorted":["cs.CY","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-08T06:18:55Z","title_canon_sha256":"e8e37b01f1bd2001ef84749db6f2e9816b4c795f051001072e9612f677d40199"},"schema_version":"1.0","source":{"id":"1502.02215","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.02215","created_at":"2026-05-18T02:27:43Z"},{"alias_kind":"arxiv_version","alias_value":"1502.02215v1","created_at":"2026-05-18T02:27:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.02215","created_at":"2026-05-18T02:27:43Z"},{"alias_kind":"pith_short_12","alias_value":"7IYZVE64OF5L","created_at":"2026-05-18T12:29:10Z"},{"alias_kind":"pith_short_16","alias_value":"7IYZVE64OF5L6HRG","created_at":"2026-05-18T12:29:10Z"},{"alias_kind":"pith_short_8","alias_value":"7IYZVE64","created_at":"2026-05-18T12:29:10Z"}],"graph_snapshots":[{"event_id":"sha256:fac19832824475c0abbc1a98a530b547f5c0b37291852a0657c3cee2d698073e","target":"graph","created_at":"2026-05-18T02:27:43Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Communication Service Providers (CSPs) are in a unique position to utilize their vast transactional data assets generated from interactions of subscribers with network elements as well as with other subscribers. CSPs could leverage its data assets for a gamut of applications such as service personalization, predictive offer management, loyalty management, revenue forecasting, network capacity planning, product bundle optimization and churn management to gain significant competitive advantage. However, due to the sheer data volume, variety, velocity and veracity of mobile subscriber datasets, s","authors_text":"Arun Soman, Chitharanj Kachappilly, Jobin Wilson, Prateek Kapadia, Rakesh Mohan, Santanu Chaudhury","cross_cats":["cs.CY","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-08T06:18:55Z","title":"Real World Applications of Machine Learning Techniques over Large Mobile Subscriber Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.02215","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:209d6929909f986b65d2aee1b18da80e78ef20b1e4ab97601d791dded914118d","target":"record","created_at":"2026-05-18T02:27:43Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d8d742b62fdba7b9d5387fe9a27f5ecc4245b92fae2bf7487bcdb54b4c7b8bad","cross_cats_sorted":["cs.CY","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-02-08T06:18:55Z","title_canon_sha256":"e8e37b01f1bd2001ef84749db6f2e9816b4c795f051001072e9612f677d40199"},"schema_version":"1.0","source":{"id":"1502.02215","kind":"arxiv","version":1}},"canonical_sha256":"fa319a93dc717abf1e263e161cc88ba3a8b73c0b992f5122e8ea6fd86e45951b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa319a93dc717abf1e263e161cc88ba3a8b73c0b992f5122e8ea6fd86e45951b","first_computed_at":"2026-05-18T02:27:43.312955Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:27:43.312955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tBSBEIcxKF6vmcyPSR4Z/DnxKmnaskHnuzuRsAs3AyvE0F2oJF19r3LJwIMuWj7ycC4jBkUtAFVjeH7Fn8ZqAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:27:43.313548Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.02215","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:209d6929909f986b65d2aee1b18da80e78ef20b1e4ab97601d791dded914118d","sha256:fac19832824475c0abbc1a98a530b547f5c0b37291852a0657c3cee2d698073e"],"state_sha256":"b4aafbe6b20711a7ea06d88b832f13745f187e036a921f6bb5312ff5282ee88a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wQTq/CBPoBuG4E0sgSi/wu7cuDOszsiIPNlW1mN35Ga9+8ZWxxoCOBG3iF7Ijp1J91BDMRqU5tPyRAlmcaPXBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T10:06:38.328664Z","bundle_sha256":"5d75af0e3f092bade662f750773e6839e0b265bf15fcada0329b66b179ffa8a5"}}