{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:344KNJIBLF2S42FVDMH4LD2HXM","short_pith_number":"pith:344KNJIB","canonical_record":{"source":{"id":"2505.00953","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T02:04:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7a2e9b8338f8c2fee66b8407fe5a0f9a3ebbef1d5a3561457a8d98405c85f36f","abstract_canon_sha256":"cfeb1f07dec743f53f346ff8a235ff9ff894d8b27b3e718628dad069c505d404"},"schema_version":"1.0"},"canonical_sha256":"df38a6a50159752e68b51b0fc58f47bb1aac9eb502639b5d12b716b4fe84076a","source":{"kind":"arxiv","id":"2505.00953","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00953","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00953v1","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00953","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"344KNJIBLF2S","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"344KNJIBLF2S42FV","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"344KNJIB","created_at":"2026-07-05T10:57:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:344KNJIBLF2S42FVDMH4LD2HXM","target":"record","payload":{"canonical_record":{"source":{"id":"2505.00953","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T02:04:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7a2e9b8338f8c2fee66b8407fe5a0f9a3ebbef1d5a3561457a8d98405c85f36f","abstract_canon_sha256":"cfeb1f07dec743f53f346ff8a235ff9ff894d8b27b3e718628dad069c505d404"},"schema_version":"1.0"},"canonical_sha256":"df38a6a50159752e68b51b0fc58f47bb1aac9eb502639b5d12b716b4fe84076a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:42.455746Z","signature_b64":"aNsZT5w2fVAG/DqEfBF8EnJcvr+e6AeoMP92YaX7SLHLPc3mwy4dVXTHueM6/zSUwkPpJ+y8kSWzIIheKlZwBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df38a6a50159752e68b51b0fc58f47bb1aac9eb502639b5d12b716b4fe84076a","last_reissued_at":"2026-07-05T10:57:42.455164Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:42.455164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.00953","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":"2026-07-05T10:57:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cGsMrrjC7L3T7gE24yZVyvz8cL1PJhYCAo0ULyMs823bkmzTn0gRiBzlaniHIF/vV8P0dARaB2oZd97B9qyqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T10:06:23.203704Z"},"content_sha256":"ff028298fa4f9e1b331620827da9d410009efea1cd1656db1605d0a0d39702c1","schema_version":"1.0","event_id":"sha256:ff028298fa4f9e1b331620827da9d410009efea1cd1656db1605d0a0d39702c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:344KNJIBLF2S42FVDMH4LD2HXM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Bradley Green, Devora Berlowitz, Karan Singhal, Lin Ning, Neo Wu, Philip Andrew Mansfield, Sushant Prakash, Yuhan Liu","submitted_at":"2025-05-02T02:04:52Z","abstract_excerpt":"User sequence modeling is crucial for modern large-scale recommendation systems, as it enables the extraction of informative representations of users and items from their historical interactions. These user representations are widely used for a variety of downstream tasks to enhance users' online experience. A key challenge for learning these representations is the lack of labeled training data. While self-supervised learning (SSL) methods have emerged as a promising solution for learning representations from unlabeled data, many existing approaches rely on extensive negative sampling, which c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00953","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/2505.00953/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":"2026-07-05T10:57:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GRIau9Lc/2sKOagJI1G4GkHEwFPHG6m9RWWYIiJZ6Vo1otdJYYe399w51WdfjuemP4pdgACJ5euZ0k0HcqQxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T10:06:23.204234Z"},"content_sha256":"cae60392a31eb797cbb28dccdfd9a3b7f4b46bb12dbf4bffd0b91e488296347c","schema_version":"1.0","event_id":"sha256:cae60392a31eb797cbb28dccdfd9a3b7f4b46bb12dbf4bffd0b91e488296347c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/344KNJIBLF2S42FVDMH4LD2HXM/bundle.json","state_url":"https://pith.science/pith/344KNJIBLF2S42FVDMH4LD2HXM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/344KNJIBLF2S42FVDMH4LD2HXM/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":"2026-08-20T10:06:23Z","links":{"resolver":"https://pith.science/pith/344KNJIBLF2S42FVDMH4LD2HXM","bundle":"https://pith.science/pith/344KNJIBLF2S42FVDMH4LD2HXM/bundle.json","state":"https://pith.science/pith/344KNJIBLF2S42FVDMH4LD2HXM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/344KNJIBLF2S42FVDMH4LD2HXM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:344KNJIBLF2S42FVDMH4LD2HXM","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":"cfeb1f07dec743f53f346ff8a235ff9ff894d8b27b3e718628dad069c505d404","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T02:04:52Z","title_canon_sha256":"7a2e9b8338f8c2fee66b8407fe5a0f9a3ebbef1d5a3561457a8d98405c85f36f"},"schema_version":"1.0","source":{"id":"2505.00953","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00953","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00953v1","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00953","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"344KNJIBLF2S","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"344KNJIBLF2S42FV","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"344KNJIB","created_at":"2026-07-05T10:57:42Z"}],"graph_snapshots":[{"event_id":"sha256:cae60392a31eb797cbb28dccdfd9a3b7f4b46bb12dbf4bffd0b91e488296347c","target":"graph","created_at":"2026-07-05T10:57:42Z","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/2505.00953/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"User sequence modeling is crucial for modern large-scale recommendation systems, as it enables the extraction of informative representations of users and items from their historical interactions. These user representations are widely used for a variety of downstream tasks to enhance users' online experience. A key challenge for learning these representations is the lack of labeled training data. While self-supervised learning (SSL) methods have emerged as a promising solution for learning representations from unlabeled data, many existing approaches rely on extensive negative sampling, which c","authors_text":"Bradley Green, Devora Berlowitz, Karan Singhal, Lin Ning, Neo Wu, Philip Andrew Mansfield, Sushant Prakash, Yuhan Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T02:04:52Z","title":"Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00953","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:ff028298fa4f9e1b331620827da9d410009efea1cd1656db1605d0a0d39702c1","target":"record","created_at":"2026-07-05T10:57:42Z","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":"cfeb1f07dec743f53f346ff8a235ff9ff894d8b27b3e718628dad069c505d404","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T02:04:52Z","title_canon_sha256":"7a2e9b8338f8c2fee66b8407fe5a0f9a3ebbef1d5a3561457a8d98405c85f36f"},"schema_version":"1.0","source":{"id":"2505.00953","kind":"arxiv","version":1}},"canonical_sha256":"df38a6a50159752e68b51b0fc58f47bb1aac9eb502639b5d12b716b4fe84076a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df38a6a50159752e68b51b0fc58f47bb1aac9eb502639b5d12b716b4fe84076a","first_computed_at":"2026-07-05T10:57:42.455164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:42.455164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aNsZT5w2fVAG/DqEfBF8EnJcvr+e6AeoMP92YaX7SLHLPc3mwy4dVXTHueM6/zSUwkPpJ+y8kSWzIIheKlZwBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:42.455746Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00953","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff028298fa4f9e1b331620827da9d410009efea1cd1656db1605d0a0d39702c1","sha256:cae60392a31eb797cbb28dccdfd9a3b7f4b46bb12dbf4bffd0b91e488296347c"],"state_sha256":"5696dde1fa5abdb41025513115e4420218646ab85fd3733be95c8b2dd489925a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3qNYiQZnBHehcUqbBz9rckzUZYXwu93Rx3S/roxPIdqBFThmEkwnvk8JANHTZTjpudadOv5gmW+miT7wjP4xBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T10:06:23.209988Z","bundle_sha256":"878f9d6df173a6835e1c450b4a543afbe4f17142b73e13a5c138158e06b00701"}}