{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:GGKXGCM5XCSJWJ5M7M2ABSIMFZ","short_pith_number":"pith:GGKXGCM5","canonical_record":{"source":{"id":"1610.03996","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-10-13T09:44:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4e3fd6885fba2704c5b816004cd87696d1ddff0b5c6ecd901dad5d522e4d686f","abstract_canon_sha256":"33790d1f5feeded16b00f34fa38234eceaaf6091838d9ef16d752281181f5e51"},"schema_version":"1.0"},"canonical_sha256":"319573099db8a49b27acfb3400c90c2e48316a31f4d1096417c7f254eaa3e5a4","source":{"kind":"arxiv","id":"1610.03996","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.03996","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"1610.03996v1","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.03996","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"GGKXGCM5XCSJ","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GGKXGCM5XCSJWJ5M","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GGKXGCM5","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:GGKXGCM5XCSJWJ5M7M2ABSIMFZ","target":"record","payload":{"canonical_record":{"source":{"id":"1610.03996","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-10-13T09:44:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4e3fd6885fba2704c5b816004cd87696d1ddff0b5c6ecd901dad5d522e4d686f","abstract_canon_sha256":"33790d1f5feeded16b00f34fa38234eceaaf6091838d9ef16d752281181f5e51"},"schema_version":"1.0"},"canonical_sha256":"319573099db8a49b27acfb3400c90c2e48316a31f4d1096417c7f254eaa3e5a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:02:22.717254Z","signature_b64":"8zGHm9zqavUhtdGeQP6GdJmHao4L7J7SMaEt90Pt98EInWsqkJzMfpfAbS/C9ER8XEGqKSS/cic1iIKymtZfAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"319573099db8a49b27acfb3400c90c2e48316a31f4d1096417c7f254eaa3e5a4","last_reissued_at":"2026-05-18T01:02:22.716534Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:02:22.716534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.03996","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":"2026-05-18T01:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7NybYSf/YzbZ/FbXYz9QR1VpN5VgOdj0gDDmJeFbyZ5qtT06HEojMgQhE3RlBtvW0zVc1QwGo6K/9jQx54jeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T07:23:26.304746Z"},"content_sha256":"3826594e1f71d6d0648e0b86dda37059a2891978bcd22d98bbf1bd78b0e1e5fd","schema_version":"1.0","event_id":"sha256:3826594e1f71d6d0648e0b86dda37059a2891978bcd22d98bbf1bd78b0e1e5fd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:GGKXGCM5XCSJWJ5M7M2ABSIMFZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bank Card Usage Prediction Exploiting Geolocation Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Lars Schmidt-Thieme, Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling","submitted_at":"2016-10-13T09:44:03Z","abstract_excerpt":"We describe the solution of team ISMLL for the ECML-PKDD 2016 Discovery Challenge on Bank Card Usage for both tasks. Our solution is based on three pillars. Gradient boosted decision trees as a strong regression and classification model, an intensive search for good hyperparameter configurations and strong features that exploit geolocation information. This approach achieved the best performance on the public leaderboard for the first task and a decent fourth position for the second task."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.03996","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":"2026-05-18T01:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LcJ+T6Nflr2ppU4C5DSs4ILCQcDZGXEzMKI3RD9Xw8n9VPqf60HNp230LEKI50SqF063twxMhD26ua8vdWMSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T07:23:26.305112Z"},"content_sha256":"b20813c9a55a769f0dabb49a1e3e7bf48c715a7c65dd2156279d7ced87110ef2","schema_version":"1.0","event_id":"sha256:b20813c9a55a769f0dabb49a1e3e7bf48c715a7c65dd2156279d7ced87110ef2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ/bundle.json","state_url":"https://pith.science/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ/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":"2026-06-03T07:23:26Z","links":{"resolver":"https://pith.science/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ","bundle":"https://pith.science/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ/bundle.json","state":"https://pith.science/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GGKXGCM5XCSJWJ5M7M2ABSIMFZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GGKXGCM5XCSJWJ5M7M2ABSIMFZ","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":"33790d1f5feeded16b00f34fa38234eceaaf6091838d9ef16d752281181f5e51","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-10-13T09:44:03Z","title_canon_sha256":"4e3fd6885fba2704c5b816004cd87696d1ddff0b5c6ecd901dad5d522e4d686f"},"schema_version":"1.0","source":{"id":"1610.03996","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.03996","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"1610.03996v1","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.03996","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"GGKXGCM5XCSJ","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GGKXGCM5XCSJWJ5M","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GGKXGCM5","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:b20813c9a55a769f0dabb49a1e3e7bf48c715a7c65dd2156279d7ced87110ef2","target":"graph","created_at":"2026-05-18T01:02:22Z","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":"We describe the solution of team ISMLL for the ECML-PKDD 2016 Discovery Challenge on Bank Card Usage for both tasks. Our solution is based on three pillars. Gradient boosted decision trees as a strong regression and classification model, an intensive search for good hyperparameter configurations and strong features that exploit geolocation information. This approach achieved the best performance on the public leaderboard for the first task and a decent fourth position for the second task.","authors_text":"Lars Schmidt-Thieme, Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-10-13T09:44:03Z","title":"Bank Card Usage Prediction Exploiting Geolocation Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.03996","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":"sha256:3826594e1f71d6d0648e0b86dda37059a2891978bcd22d98bbf1bd78b0e1e5fd","target":"record","created_at":"2026-05-18T01:02:22Z","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":"33790d1f5feeded16b00f34fa38234eceaaf6091838d9ef16d752281181f5e51","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-10-13T09:44:03Z","title_canon_sha256":"4e3fd6885fba2704c5b816004cd87696d1ddff0b5c6ecd901dad5d522e4d686f"},"schema_version":"1.0","source":{"id":"1610.03996","kind":"arxiv","version":1}},"canonical_sha256":"319573099db8a49b27acfb3400c90c2e48316a31f4d1096417c7f254eaa3e5a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"319573099db8a49b27acfb3400c90c2e48316a31f4d1096417c7f254eaa3e5a4","first_computed_at":"2026-05-18T01:02:22.716534Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:02:22.716534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8zGHm9zqavUhtdGeQP6GdJmHao4L7J7SMaEt90Pt98EInWsqkJzMfpfAbS/C9ER8XEGqKSS/cic1iIKymtZfAw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:02:22.717254Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.03996","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3826594e1f71d6d0648e0b86dda37059a2891978bcd22d98bbf1bd78b0e1e5fd","sha256:b20813c9a55a769f0dabb49a1e3e7bf48c715a7c65dd2156279d7ced87110ef2"],"state_sha256":"0b9910f232fbeea1d5ac67a39846ed2be8a20f1077d7da8e7843ae6f818fcde3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CSkhKSPetMkWDp8eIHTMGSRQZ7I72LZh/F9Vy/9iFJlIWBqwDltUO5/tBnBBCJl9c8A4cesQC4qCfLWqjQBxBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T07:23:26.307069Z","bundle_sha256":"84adc9a5c7e3ced5cca9e315d0f9745b79503903b3742ddd926a875a2e48cf6e"}}