{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2H4ZBUAVBNTE3DGCAIBQMTOFOV","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":"d9a9316ebd00dd70dae96a1abfcfce24edc008707b6a51fe797309b670074b99","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-10-20T13:05:05Z","title_canon_sha256":"e5e1b5234e3851547489a6f7eed7560a0f5aaf7c64a660fb966a2a3518738086"},"schema_version":"1.0","source":{"id":"2010.10241","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.10241","created_at":"2026-07-05T01:44:28Z"},{"alias_kind":"arxiv_version","alias_value":"2010.10241v1","created_at":"2026-07-05T01:44:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.10241","created_at":"2026-07-05T01:44:28Z"},{"alias_kind":"pith_short_12","alias_value":"2H4ZBUAVBNTE","created_at":"2026-07-05T01:44:28Z"},{"alias_kind":"pith_short_16","alias_value":"2H4ZBUAVBNTE3DGC","created_at":"2026-07-05T01:44:28Z"},{"alias_kind":"pith_short_8","alias_value":"2H4ZBUAV","created_at":"2026-07-05T01:44:28Z"}],"graph_snapshots":[{"event_id":"sha256:1fe77bd35c1c1980ea70bf37d56ca8a52214cba22d7640948d38273f954c9744","target":"graph","created_at":"2026-07-05T01:44:28Z","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/2010.10241/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bootstrap Your Own Latent (BYOL) is a self-supervised learning approach for image representation. From an augmented view of an image, BYOL trains an online network to predict a target network representation of a different augmented view of the same image. Unlike contrastive methods, BYOL does not explicitly use a repulsion term built from negative pairs in its training objective. Yet, it avoids collapse to a trivial, constant representation. Thus, it has recently been hypothesized that batch normalization (BN) is critical to prevent collapse in BYOL. Indeed, BN flows gradients across batch ele","authors_text":"Andrew Brock, Bilal Piot, Corentin Tallec, Florent Altch\\'e, Florian Strub, Jean-bastien Grill, Michal Valko, Pierre H. Richemond, Razvan Pascanu, Samuel Smith, Soham De","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-10-20T13:05:05Z","title":"BYOL works even without batch statistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.10241","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":"sha256:2f3605694f8f05112c0b3981deffe0827af714bce50d606f203ab79029d21b8a","target":"record","created_at":"2026-07-05T01:44:28Z","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":"d9a9316ebd00dd70dae96a1abfcfce24edc008707b6a51fe797309b670074b99","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-10-20T13:05:05Z","title_canon_sha256":"e5e1b5234e3851547489a6f7eed7560a0f5aaf7c64a660fb966a2a3518738086"},"schema_version":"1.0","source":{"id":"2010.10241","kind":"arxiv","version":1}},"canonical_sha256":"d1f990d0150b664d8cc20203064dc5755afce471e84dfd92515e74cfe25c3292","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d1f990d0150b664d8cc20203064dc5755afce471e84dfd92515e74cfe25c3292","first_computed_at":"2026-07-05T01:44:28.702733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:44:28.702733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JoXUXss0+Zj1CyYJqoyM/yqBOwEgv6yZO9vYyxSMght79gSBF1jfJFrTVP2FwbF2h+PeVF05AZ1fKvQDzmaECQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:44:28.703200Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.10241","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f3605694f8f05112c0b3981deffe0827af714bce50d606f203ab79029d21b8a","sha256:1fe77bd35c1c1980ea70bf37d56ca8a52214cba22d7640948d38273f954c9744"],"state_sha256":"10e6f303c87393b234ef09d8b9f0c0d9b23eb5c6e59437c4bc6d3ecfd3ea6a72"}