{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PJEI2IR5KCA6MV26GLGG3OIEX7","short_pith_number":"pith:PJEI2IR5","canonical_record":{"source":{"id":"2407.19239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-07-27T12:07:46Z","cross_cats_sorted":[],"title_canon_sha256":"2f9a126fead651ce205fd007f2d28a3c4638214c612cbea949d57f5bd9c80ef1","abstract_canon_sha256":"97f05aaef82c49354cf65a01d3e4ab49a0aeb6f6114beba7c7bdf47441e4122c"},"schema_version":"1.0"},"canonical_sha256":"7a488d223d5081e6575e32cc6db904bffc43a09af2b49d5fc1fa980040352a7e","source":{"kind":"arxiv","id":"2407.19239","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19239","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19239v1","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19239","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"pith_short_12","alias_value":"PJEI2IR5KCA6","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"pith_short_16","alias_value":"PJEI2IR5KCA6MV26","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"pith_short_8","alias_value":"PJEI2IR5","created_at":"2026-07-05T08:49:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PJEI2IR5KCA6MV26GLGG3OIEX7","target":"record","payload":{"canonical_record":{"source":{"id":"2407.19239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-07-27T12:07:46Z","cross_cats_sorted":[],"title_canon_sha256":"2f9a126fead651ce205fd007f2d28a3c4638214c612cbea949d57f5bd9c80ef1","abstract_canon_sha256":"97f05aaef82c49354cf65a01d3e4ab49a0aeb6f6114beba7c7bdf47441e4122c"},"schema_version":"1.0"},"canonical_sha256":"7a488d223d5081e6575e32cc6db904bffc43a09af2b49d5fc1fa980040352a7e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:49:16.264767Z","signature_b64":"E1BZMDbD8XdOB25h18jP22RKn94lirFmlLdZm39v37omb61NvApLzdjfHozipaSm5yttlsGrvvp5UWIxMRNqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a488d223d5081e6575e32cc6db904bffc43a09af2b49d5fc1fa980040352a7e","last_reissued_at":"2026-07-05T08:49:16.264393Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:49:16.264393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.19239","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":"2026-07-05T08:49:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cvS/jTFr2Te5rD6+fl6BDTvh3JGrMSaAC7cCsrbTAbelMje0RrTsH4+EcM0OqhFwm9sEUrVHuFGhGEz/SQBGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:04:58.520115Z"},"content_sha256":"f271032be579f5716205cff52a2f5fd0fb5e6c4168f1872c8c5caabbc8e96a77","schema_version":"1.0","event_id":"sha256:f271032be579f5716205cff52a2f5fd0fb5e6c4168f1872c8c5caabbc8e96a77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PJEI2IR5KCA6MV26GLGG3OIEX7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Runsen Zhang, Shun Zhang, Zhirong Yang","submitted_at":"2024-07-27T12:07:46Z","abstract_excerpt":"Sequential recommendation systems aim to provide personalized recommendations by analyzing dynamic preferences and dependencies within user behavior sequences. Recently, Transformer models can effectively capture user preferences. However, their quadratic computational complexity limits recommendation performance on long interaction sequence data. Inspired by the State Space Model (SSM)representative model, Mamba, which efficiently captures user preferences in long interaction sequences with linear complexity, we find that Mamba's recommendation effectiveness is limited in short interaction se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19239","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.19239/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:49:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WxdoeP1JZ/9uIkOhSyskeKj3pJL3n+bUNaYsHBnFK43puIrZu6dpBugudpcn02E00ZPYLnjnNgR/6OTg+UN4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:04:58.520617Z"},"content_sha256":"9fb39c554b53391866da9d05e0d822c7a16eebde89e484a7259d6df1117e6a0d","schema_version":"1.0","event_id":"sha256:9fb39c554b53391866da9d05e0d822c7a16eebde89e484a7259d6df1117e6a0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PJEI2IR5KCA6MV26GLGG3OIEX7/bundle.json","state_url":"https://pith.science/pith/PJEI2IR5KCA6MV26GLGG3OIEX7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PJEI2IR5KCA6MV26GLGG3OIEX7/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":"2026-08-18T22:04:58Z","links":{"resolver":"https://pith.science/pith/PJEI2IR5KCA6MV26GLGG3OIEX7","bundle":"https://pith.science/pith/PJEI2IR5KCA6MV26GLGG3OIEX7/bundle.json","state":"https://pith.science/pith/PJEI2IR5KCA6MV26GLGG3OIEX7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PJEI2IR5KCA6MV26GLGG3OIEX7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PJEI2IR5KCA6MV26GLGG3OIEX7","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":"97f05aaef82c49354cf65a01d3e4ab49a0aeb6f6114beba7c7bdf47441e4122c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-07-27T12:07:46Z","title_canon_sha256":"2f9a126fead651ce205fd007f2d28a3c4638214c612cbea949d57f5bd9c80ef1"},"schema_version":"1.0","source":{"id":"2407.19239","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19239","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19239v1","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19239","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"pith_short_12","alias_value":"PJEI2IR5KCA6","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"pith_short_16","alias_value":"PJEI2IR5KCA6MV26","created_at":"2026-07-05T08:49:16Z"},{"alias_kind":"pith_short_8","alias_value":"PJEI2IR5","created_at":"2026-07-05T08:49:16Z"}],"graph_snapshots":[{"event_id":"sha256:9fb39c554b53391866da9d05e0d822c7a16eebde89e484a7259d6df1117e6a0d","target":"graph","created_at":"2026-07-05T08:49:16Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2407.19239/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sequential recommendation systems aim to provide personalized recommendations by analyzing dynamic preferences and dependencies within user behavior sequences. Recently, Transformer models can effectively capture user preferences. However, their quadratic computational complexity limits recommendation performance on long interaction sequence data. Inspired by the State Space Model (SSM)representative model, Mamba, which efficiently captures user preferences in long interaction sequences with linear complexity, we find that Mamba's recommendation effectiveness is limited in short interaction se","authors_text":"Runsen Zhang, Shun Zhang, Zhirong Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-07-27T12:07:46Z","title":"MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19239","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:f271032be579f5716205cff52a2f5fd0fb5e6c4168f1872c8c5caabbc8e96a77","target":"record","created_at":"2026-07-05T08:49:16Z","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":"97f05aaef82c49354cf65a01d3e4ab49a0aeb6f6114beba7c7bdf47441e4122c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-07-27T12:07:46Z","title_canon_sha256":"2f9a126fead651ce205fd007f2d28a3c4638214c612cbea949d57f5bd9c80ef1"},"schema_version":"1.0","source":{"id":"2407.19239","kind":"arxiv","version":1}},"canonical_sha256":"7a488d223d5081e6575e32cc6db904bffc43a09af2b49d5fc1fa980040352a7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a488d223d5081e6575e32cc6db904bffc43a09af2b49d5fc1fa980040352a7e","first_computed_at":"2026-07-05T08:49:16.264393Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:49:16.264393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E1BZMDbD8XdOB25h18jP22RKn94lirFmlLdZm39v37omb61NvApLzdjfHozipaSm5yttlsGrvvp5UWIxMRNqBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:49:16.264767Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.19239","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f271032be579f5716205cff52a2f5fd0fb5e6c4168f1872c8c5caabbc8e96a77","sha256:9fb39c554b53391866da9d05e0d822c7a16eebde89e484a7259d6df1117e6a0d"],"state_sha256":"d0b1e5fa4f78fe4de1e7fb94ff262a4fb1bf093644bc16849bf2faa5c96f1898"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4wkk2tKqqvZIRhZk2M+iSqgUVDxVTzg5bAYtSV2oCc7cD2OzSoio+pHkSQFNjuNuHS0mvl3B438jpN6Z8q2qDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:04:58.526012Z","bundle_sha256":"848c3b0ecf5ac15210792fdaf585126e58266ccd9eb18ab1e81c6e48c7daf78b"}}