{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:NBEM2SMYJ3DYUFIX3H2Q6OL6WK","short_pith_number":"pith:NBEM2SMY","canonical_record":{"source":{"id":"1808.05163","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-15T16:04:28Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"fef35b1edf6309f8d3e0d45c2f369477f9c4c7e2c3e25e1d1b1731569dfe89d9","abstract_canon_sha256":"4940f3c5a0f3e8036dc25baa664ed5343731a8490f19bf1d712419d0244a7062"},"schema_version":"1.0"},"canonical_sha256":"6848cd49984ec78a1517d9f50f397eb2a36da010dcab9cf2ecf19ce7a3a27bd1","source":{"kind":"arxiv","id":"1808.05163","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.05163","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"arxiv_version","alias_value":"1808.05163v4","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.05163","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"pith_short_12","alias_value":"NBEM2SMYJ3DY","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NBEM2SMYJ3DYUFIX","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NBEM2SMY","created_at":"2026-05-18T12:32:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:NBEM2SMYJ3DYUFIX3H2Q6OL6WK","target":"record","payload":{"canonical_record":{"source":{"id":"1808.05163","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-15T16:04:28Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"fef35b1edf6309f8d3e0d45c2f369477f9c4c7e2c3e25e1d1b1731569dfe89d9","abstract_canon_sha256":"4940f3c5a0f3e8036dc25baa664ed5343731a8490f19bf1d712419d0244a7062"},"schema_version":"1.0"},"canonical_sha256":"6848cd49984ec78a1517d9f50f397eb2a36da010dcab9cf2ecf19ce7a3a27bd1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:38.448313Z","signature_b64":"KSgpIAl9zHiLVGwE4JNBbeg2Ie6xJmL9kjSC6ztZFABRJdJpJZlQZNI7uthewBPwiMqlt/oLLYf9uZyWMtPGDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6848cd49984ec78a1517d9f50f397eb2a36da010dcab9cf2ecf19ce7a3a27bd1","last_reissued_at":"2026-05-17T23:59:38.447589Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:38.447589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.05163","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:59:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vve5g12/7lgRjYwcuR73V+ldVM91TrgvmDpyI1B2Bogc1Gzxb6DyixtacXRn02d/ABW/FRdkLTrvNrdUWtdOBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T18:45:58.724298Z"},"content_sha256":"53bb04bdb7489a7281ce98be54797cd395dafd907e1d7ecf31e7d394f1f9c4d9","schema_version":"1.0","event_id":"sha256:53bb04bdb7489a7281ce98be54797cd395dafd907e1d7ecf31e7d394f1f9c4d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:NBEM2SMYJ3DYUFIX3H2Q6OL6WK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Simple Convolutional Generative Network for Next Item Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Alexandros Karatzoglou, Fajie Yuan, Ioannis Arapakis, Joemon M Jose, Xiangnan He","submitted_at":"2018-08-15T16:04:28Z","abstract_excerpt":"Convolutional Neural Networks (CNNs) have been recently introduced in the domain of session-based next item recommendation. An ordered collection of past items the user has interacted with in a session (or sequence) are embedded into a 2-dimensional latent matrix, and treated as an image. The convolution and pooling operations are then applied to the mapped item embeddings. In this paper, we first examine the typical session-based CNN recommender and show that both the generative model and network architecture are suboptimal when modeling long-range dependencies in the item sequence. To addres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.05163","kind":"arxiv","version":4},"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":"2026-05-17T23:59:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"of3ToAUxrfAXO9N+oQwsijhRHerrwDkG8Pdyan/PNr9ZZqa14LQO02TF6OP2IV95KxPKszY+9EuI7WyWjO1fBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T18:45:58.724738Z"},"content_sha256":"f3ee042f4ac6c772ddb164136626984c2af46892bc30d18bfccbacb526a5e8a6","schema_version":"1.0","event_id":"sha256:f3ee042f4ac6c772ddb164136626984c2af46892bc30d18bfccbacb526a5e8a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK/bundle.json","state_url":"https://pith.science/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK/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":"2026-05-28T18:45:58Z","links":{"resolver":"https://pith.science/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK","bundle":"https://pith.science/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK/bundle.json","state":"https://pith.science/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBEM2SMYJ3DYUFIX3H2Q6OL6WK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NBEM2SMYJ3DYUFIX3H2Q6OL6WK","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":"4940f3c5a0f3e8036dc25baa664ed5343731a8490f19bf1d712419d0244a7062","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-15T16:04:28Z","title_canon_sha256":"fef35b1edf6309f8d3e0d45c2f369477f9c4c7e2c3e25e1d1b1731569dfe89d9"},"schema_version":"1.0","source":{"id":"1808.05163","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.05163","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"arxiv_version","alias_value":"1808.05163v4","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.05163","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"pith_short_12","alias_value":"NBEM2SMYJ3DY","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NBEM2SMYJ3DYUFIX","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NBEM2SMY","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:f3ee042f4ac6c772ddb164136626984c2af46892bc30d18bfccbacb526a5e8a6","target":"graph","created_at":"2026-05-17T23:59:38Z","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":"Convolutional Neural Networks (CNNs) have been recently introduced in the domain of session-based next item recommendation. An ordered collection of past items the user has interacted with in a session (or sequence) are embedded into a 2-dimensional latent matrix, and treated as an image. The convolution and pooling operations are then applied to the mapped item embeddings. In this paper, we first examine the typical session-based CNN recommender and show that both the generative model and network architecture are suboptimal when modeling long-range dependencies in the item sequence. To addres","authors_text":"Alexandros Karatzoglou, Fajie Yuan, Ioannis Arapakis, Joemon M Jose, Xiangnan He","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-15T16:04:28Z","title":"A Simple Convolutional Generative Network for Next Item Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.05163","kind":"arxiv","version":4},"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":"sha256:53bb04bdb7489a7281ce98be54797cd395dafd907e1d7ecf31e7d394f1f9c4d9","target":"record","created_at":"2026-05-17T23:59:38Z","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":"4940f3c5a0f3e8036dc25baa664ed5343731a8490f19bf1d712419d0244a7062","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-15T16:04:28Z","title_canon_sha256":"fef35b1edf6309f8d3e0d45c2f369477f9c4c7e2c3e25e1d1b1731569dfe89d9"},"schema_version":"1.0","source":{"id":"1808.05163","kind":"arxiv","version":4}},"canonical_sha256":"6848cd49984ec78a1517d9f50f397eb2a36da010dcab9cf2ecf19ce7a3a27bd1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6848cd49984ec78a1517d9f50f397eb2a36da010dcab9cf2ecf19ce7a3a27bd1","first_computed_at":"2026-05-17T23:59:38.447589Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:38.447589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KSgpIAl9zHiLVGwE4JNBbeg2Ie6xJmL9kjSC6ztZFABRJdJpJZlQZNI7uthewBPwiMqlt/oLLYf9uZyWMtPGDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:38.448313Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.05163","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53bb04bdb7489a7281ce98be54797cd395dafd907e1d7ecf31e7d394f1f9c4d9","sha256:f3ee042f4ac6c772ddb164136626984c2af46892bc30d18bfccbacb526a5e8a6"],"state_sha256":"752b2298c38dbc74f62eaeca3b817eee624aaefca4a2326ed2c4f0b8260b81d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2w0MXHU3vfO89OCnfQikqI8QAGN0dqIN6dV+Y/z8GZ3rRPkNJc21o6b+PsZ7441Ej8c9PRNLUl2o5PavkKTtCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T18:45:58.728024Z","bundle_sha256":"aebecc20d196aed2dfcd4998931931ac016cd1a3adfb7c709a8fba5a6319bcf4"}}