{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:S65GO2SUPQYCS5N3SC233KRCRQ","short_pith_number":"pith:S65GO2SU","canonical_record":{"source":{"id":"1607.03202","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-07-12T00:03:05Z","cross_cats_sorted":["cs.SI","stat.AP"],"title_canon_sha256":"cd5895d128f6829b230fa2de973af4baadbc82164b9e03cb709c558bc5405a80","abstract_canon_sha256":"6f68658f3c3d8580375bdf90086054263bc03943197d74af2ebcb4a14799c596"},"schema_version":"1.0"},"canonical_sha256":"97ba676a547c302975bb90b5bdaa228c0eb6d23ca6ff487d4e133742267c853a","source":{"kind":"arxiv","id":"1607.03202","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.03202","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"arxiv_version","alias_value":"1607.03202v1","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.03202","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"pith_short_12","alias_value":"S65GO2SUPQYC","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"S65GO2SUPQYCS5N3","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"S65GO2SU","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:S65GO2SUPQYCS5N3SC233KRCRQ","target":"record","payload":{"canonical_record":{"source":{"id":"1607.03202","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-07-12T00:03:05Z","cross_cats_sorted":["cs.SI","stat.AP"],"title_canon_sha256":"cd5895d128f6829b230fa2de973af4baadbc82164b9e03cb709c558bc5405a80","abstract_canon_sha256":"6f68658f3c3d8580375bdf90086054263bc03943197d74af2ebcb4a14799c596"},"schema_version":"1.0"},"canonical_sha256":"97ba676a547c302975bb90b5bdaa228c0eb6d23ca6ff487d4e133742267c853a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:09.563890Z","signature_b64":"fM8ph8N+Fitacag+w9Nt99OJfEHdgCCbpd5i9FEMRruS93nVDaIwMQyx7vz/jq4K4Exc7xBTJagR/RZ31z8DAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97ba676a547c302975bb90b5bdaa228c0eb6d23ca6ff487d4e133742267c853a","last_reissued_at":"2026-05-18T01:11:09.563339Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:09.563339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1607.03202","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":"2026-05-18T01:11:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dbz6Yy4D1ODEo6BgQZLw/UhqYvk683PKW1JugU1WlqFX45zI8sfxuRsfHYFO5xNf2aOQvFfeOGotTagSEYUSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:58:11.631993Z"},"content_sha256":"e723a7021fbe0d13c1c193bbe95082c04112203caae4d0fc61aac19c1d2e11ac","schema_version":"1.0","event_id":"sha256:e723a7021fbe0d13c1c193bbe95082c04112203caae4d0fc61aac19c1d2e11ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:S65GO2SUPQYCS5N3SC233KRCRQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rapid Prediction of Player Retention in Free-to-Play Mobile Games","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI","stat.AP"],"primary_cat":"stat.ML","authors_text":"Anders Drachen, Diego Klabjan, Eric Thurston Lundquist, Julian Runge, Pranav Simha Rao, Rafet Sifa, Yungjen Kung","submitted_at":"2016-07-12T00:03:05Z","abstract_excerpt":"Predicting and improving player retention is crucial to the success of mobile Free-to-Play games. This paper explores the problem of rapid retention prediction in this context. Heuristic modeling approaches are introduced as a way of building simple rules for predicting short-term retention. Compared to common classification algorithms, our heuristic-based approach achieves reasonable and comparable performance using information from the first session, day, and week of player activity."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.03202","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":"2026-05-18T01:11:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5xdcniju71QNsxpDb8rXBLmOb8Ycdar4X9gbXHXGuoVzXO7OmHSj23d09W12Tw4XH6HTy7i4kwGyN0UqJmnVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:58:11.632349Z"},"content_sha256":"13950e8ccc7756572ace9a9cc98e007b4675a3b0e8af65c5a1721177b62e4656","schema_version":"1.0","event_id":"sha256:13950e8ccc7756572ace9a9cc98e007b4675a3b0e8af65c5a1721177b62e4656"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S65GO2SUPQYCS5N3SC233KRCRQ/bundle.json","state_url":"https://pith.science/pith/S65GO2SUPQYCS5N3SC233KRCRQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S65GO2SUPQYCS5N3SC233KRCRQ/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":"2026-05-28T03:58:11Z","links":{"resolver":"https://pith.science/pith/S65GO2SUPQYCS5N3SC233KRCRQ","bundle":"https://pith.science/pith/S65GO2SUPQYCS5N3SC233KRCRQ/bundle.json","state":"https://pith.science/pith/S65GO2SUPQYCS5N3SC233KRCRQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S65GO2SUPQYCS5N3SC233KRCRQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:S65GO2SUPQYCS5N3SC233KRCRQ","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":"6f68658f3c3d8580375bdf90086054263bc03943197d74af2ebcb4a14799c596","cross_cats_sorted":["cs.SI","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-07-12T00:03:05Z","title_canon_sha256":"cd5895d128f6829b230fa2de973af4baadbc82164b9e03cb709c558bc5405a80"},"schema_version":"1.0","source":{"id":"1607.03202","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.03202","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"arxiv_version","alias_value":"1607.03202v1","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.03202","created_at":"2026-05-18T01:11:09Z"},{"alias_kind":"pith_short_12","alias_value":"S65GO2SUPQYC","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"S65GO2SUPQYCS5N3","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"S65GO2SU","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:13950e8ccc7756572ace9a9cc98e007b4675a3b0e8af65c5a1721177b62e4656","target":"graph","created_at":"2026-05-18T01:11:09Z","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":"Predicting and improving player retention is crucial to the success of mobile Free-to-Play games. This paper explores the problem of rapid retention prediction in this context. Heuristic modeling approaches are introduced as a way of building simple rules for predicting short-term retention. Compared to common classification algorithms, our heuristic-based approach achieves reasonable and comparable performance using information from the first session, day, and week of player activity.","authors_text":"Anders Drachen, Diego Klabjan, Eric Thurston Lundquist, Julian Runge, Pranav Simha Rao, Rafet Sifa, Yungjen Kung","cross_cats":["cs.SI","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-07-12T00:03:05Z","title":"Rapid Prediction of Player Retention in Free-to-Play Mobile Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.03202","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:e723a7021fbe0d13c1c193bbe95082c04112203caae4d0fc61aac19c1d2e11ac","target":"record","created_at":"2026-05-18T01:11:09Z","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":"6f68658f3c3d8580375bdf90086054263bc03943197d74af2ebcb4a14799c596","cross_cats_sorted":["cs.SI","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-07-12T00:03:05Z","title_canon_sha256":"cd5895d128f6829b230fa2de973af4baadbc82164b9e03cb709c558bc5405a80"},"schema_version":"1.0","source":{"id":"1607.03202","kind":"arxiv","version":1}},"canonical_sha256":"97ba676a547c302975bb90b5bdaa228c0eb6d23ca6ff487d4e133742267c853a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97ba676a547c302975bb90b5bdaa228c0eb6d23ca6ff487d4e133742267c853a","first_computed_at":"2026-05-18T01:11:09.563339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:09.563339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fM8ph8N+Fitacag+w9Nt99OJfEHdgCCbpd5i9FEMRruS93nVDaIwMQyx7vz/jq4K4Exc7xBTJagR/RZ31z8DAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:09.563890Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.03202","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e723a7021fbe0d13c1c193bbe95082c04112203caae4d0fc61aac19c1d2e11ac","sha256:13950e8ccc7756572ace9a9cc98e007b4675a3b0e8af65c5a1721177b62e4656"],"state_sha256":"0f4f14ab18ca2c948df997285f14b57d7bb8e701e0f77399257ed2e4af488c67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iqh0UzaC6rNmcwSgsPzH0dKXBA6kdY1oOIIG6P58yJkzdvN64WxW7K6TUsE5mtvzkZEsWRzx3fr/E3uCmFsrCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T03:58:11.634239Z","bundle_sha256":"4aa01c535c3168280bf4f71ff43655a956ee6a5019a7f7dd427f70247c0063ad"}}