{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EUVWCECI2ESUHDMYZUZAYZ7WJU","short_pith_number":"pith:EUVWCECI","canonical_record":{"source":{"id":"2508.13596","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T08:00:29Z","cross_cats_sorted":[],"title_canon_sha256":"3e419d4c8f4678f51bb2d395074729837b6f838e68a0f1142f71bb3eb8fc40aa","abstract_canon_sha256":"a3a1202d7502a3469bd57aa2750c03f52f9a5a3c1669a020acfbc250aa00eb33"},"schema_version":"1.0"},"canonical_sha256":"252b611048d125438d98cd320c67f64d022bc7135f3b1867324dd04cdf10e4dc","source":{"kind":"arxiv","id":"2508.13596","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.13596","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.13596v1","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.13596","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"pith_short_12","alias_value":"EUVWCECI2ESU","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"pith_short_16","alias_value":"EUVWCECI2ESUHDMY","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"pith_short_8","alias_value":"EUVWCECI","created_at":"2026-07-05T11:55:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EUVWCECI2ESUHDMYZUZAYZ7WJU","target":"record","payload":{"canonical_record":{"source":{"id":"2508.13596","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T08:00:29Z","cross_cats_sorted":[],"title_canon_sha256":"3e419d4c8f4678f51bb2d395074729837b6f838e68a0f1142f71bb3eb8fc40aa","abstract_canon_sha256":"a3a1202d7502a3469bd57aa2750c03f52f9a5a3c1669a020acfbc250aa00eb33"},"schema_version":"1.0"},"canonical_sha256":"252b611048d125438d98cd320c67f64d022bc7135f3b1867324dd04cdf10e4dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:55:50.831794Z","signature_b64":"SzEwCmBl8p+Sx2mdmS/LEKB7TzOq0Pofvvlt+DwTo0QnXGSXD/kVwLp8CHiPtHUA5pEsWHobjoxXmvINoydbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"252b611048d125438d98cd320c67f64d022bc7135f3b1867324dd04cdf10e4dc","last_reissued_at":"2026-07-05T11:55:50.831411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:55:50.831411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.13596","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":"2026-07-05T11:55:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DLzHSrmPhhezSszGJK0agbwYSczBXsRdrzpZ4Dma4uif8ocK2c3CVAIpKCdfm02ZaB1Xu1fCv191+P71aW0NBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:52:00.093629Z"},"content_sha256":"df309698036e3063a693df3c8793d97a4b9c48027056bb7bb319c2c574b0aa8a","schema_version":"1.0","event_id":"sha256:df309698036e3063a693df3c8793d97a4b9c48027056bb7bb319c2c574b0aa8a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EUVWCECI2ESUHDMYZUZAYZ7WJU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Generalized Learning Framework for Self-Supervised Contrastive Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jingyao Wang, Lingyu Si, Wenwen Qiang","submitted_at":"2025-08-19T08:00:29Z","abstract_excerpt":"Self-supervised contrastive learning (SSCL) has recently demonstrated superiority in multiple downstream tasks. In this paper, we generalize the standard SSCL methods to a Generalized Learning Framework (GLF) consisting of two parts: the aligning part and the constraining part. We analyze three existing SSCL methods: BYOL, Barlow Twins, and SwAV, and show that they can be unified under GLF with different choices of the constraining part. We further propose empirical and theoretical analyses providing two insights into designing the constraining part of GLF: intra-class compactness and inter-cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.13596","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/2508.13596/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":"2026-07-05T11:55:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a5mWHNHL5GK2LO2v/NjpHh0+0VHusRMwr0CfdDkwB/usqRJ4UbzC12RwBInxXiCiW2RjyFbGhl/hm2D6Dt83Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:52:00.094011Z"},"content_sha256":"d1f115b3546f370a296ff5a8a1cb6501478401afeafa8fabba883c5d08184536","schema_version":"1.0","event_id":"sha256:d1f115b3546f370a296ff5a8a1cb6501478401afeafa8fabba883c5d08184536"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU/bundle.json","state_url":"https://pith.science/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU/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":"2026-08-06T06:52:00Z","links":{"resolver":"https://pith.science/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU","bundle":"https://pith.science/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU/bundle.json","state":"https://pith.science/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EUVWCECI2ESUHDMYZUZAYZ7WJU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EUVWCECI2ESUHDMYZUZAYZ7WJU","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":"a3a1202d7502a3469bd57aa2750c03f52f9a5a3c1669a020acfbc250aa00eb33","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T08:00:29Z","title_canon_sha256":"3e419d4c8f4678f51bb2d395074729837b6f838e68a0f1142f71bb3eb8fc40aa"},"schema_version":"1.0","source":{"id":"2508.13596","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.13596","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.13596v1","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.13596","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"pith_short_12","alias_value":"EUVWCECI2ESU","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"pith_short_16","alias_value":"EUVWCECI2ESUHDMY","created_at":"2026-07-05T11:55:50Z"},{"alias_kind":"pith_short_8","alias_value":"EUVWCECI","created_at":"2026-07-05T11:55:50Z"}],"graph_snapshots":[{"event_id":"sha256:d1f115b3546f370a296ff5a8a1cb6501478401afeafa8fabba883c5d08184536","target":"graph","created_at":"2026-07-05T11:55:50Z","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/2508.13596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised contrastive learning (SSCL) has recently demonstrated superiority in multiple downstream tasks. In this paper, we generalize the standard SSCL methods to a Generalized Learning Framework (GLF) consisting of two parts: the aligning part and the constraining part. We analyze three existing SSCL methods: BYOL, Barlow Twins, and SwAV, and show that they can be unified under GLF with different choices of the constraining part. We further propose empirical and theoretical analyses providing two insights into designing the constraining part of GLF: intra-class compactness and inter-cl","authors_text":"Jingyao Wang, Lingyu Si, Wenwen Qiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T08:00:29Z","title":"A Generalized Learning Framework for Self-Supervised Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.13596","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:df309698036e3063a693df3c8793d97a4b9c48027056bb7bb319c2c574b0aa8a","target":"record","created_at":"2026-07-05T11:55:50Z","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":"a3a1202d7502a3469bd57aa2750c03f52f9a5a3c1669a020acfbc250aa00eb33","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-19T08:00:29Z","title_canon_sha256":"3e419d4c8f4678f51bb2d395074729837b6f838e68a0f1142f71bb3eb8fc40aa"},"schema_version":"1.0","source":{"id":"2508.13596","kind":"arxiv","version":1}},"canonical_sha256":"252b611048d125438d98cd320c67f64d022bc7135f3b1867324dd04cdf10e4dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"252b611048d125438d98cd320c67f64d022bc7135f3b1867324dd04cdf10e4dc","first_computed_at":"2026-07-05T11:55:50.831411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:55:50.831411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SzEwCmBl8p+Sx2mdmS/LEKB7TzOq0Pofvvlt+DwTo0QnXGSXD/kVwLp8CHiPtHUA5pEsWHobjoxXmvINoydbBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:55:50.831794Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.13596","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df309698036e3063a693df3c8793d97a4b9c48027056bb7bb319c2c574b0aa8a","sha256:d1f115b3546f370a296ff5a8a1cb6501478401afeafa8fabba883c5d08184536"],"state_sha256":"8e704b05e1ce44253c64bad35455cf5f1d5c776428126150088ab0e1550330e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wSAptosfaBGcrEOjGCysN5TsAFTuur51Q4YQOfjqUiMpOpTxoiekRX/WQ2PflKoo7kHiTmuU7NtyaxnpAdbsAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T06:52:00.098066Z","bundle_sha256":"ad9abb63fa4e171070ad896bd0271e290916d96a49c78e469990729aca99c809"}}