{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:7JBGJEJGODCSZ6RSI4FAOGIKNP","short_pith_number":"pith:7JBGJEJG","canonical_record":{"source":{"id":"2003.13525","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-30T14:55:53Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d0f84b8fc7c093d37148ac0a3a480efffe97099361a374ccba4fd8fa6ffaf9d0","abstract_canon_sha256":"f5a1579fc4d93b2c132f46f1a61925900463eab101937b7c23777a6d0e9c0b3d"},"schema_version":"1.0"},"canonical_sha256":"fa4264912670c52cfa32470a07190a6bebaea47028a1169fdd24a6c7a237b11d","source":{"kind":"arxiv","id":"2003.13525","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13525","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13525v1","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13525","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"pith_short_12","alias_value":"7JBGJEJGODCS","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"pith_short_16","alias_value":"7JBGJEJGODCSZ6RS","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"pith_short_8","alias_value":"7JBGJEJG","created_at":"2026-07-05T00:51:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:7JBGJEJGODCSZ6RSI4FAOGIKNP","target":"record","payload":{"canonical_record":{"source":{"id":"2003.13525","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-30T14:55:53Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d0f84b8fc7c093d37148ac0a3a480efffe97099361a374ccba4fd8fa6ffaf9d0","abstract_canon_sha256":"f5a1579fc4d93b2c132f46f1a61925900463eab101937b7c23777a6d0e9c0b3d"},"schema_version":"1.0"},"canonical_sha256":"fa4264912670c52cfa32470a07190a6bebaea47028a1169fdd24a6c7a237b11d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:51:23.872912Z","signature_b64":"MRzgXQNY4C098dx3X1GdEdiEzwgjQ9/lQeNLtYel47XwUOca+AvNN1kqz9ST+uqpLeAaUYT2DIt3Gi0IJ096DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa4264912670c52cfa32470a07190a6bebaea47028a1169fdd24a6c7a237b11d","last_reissued_at":"2026-07-05T00:51:23.872358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:51:23.872358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.13525","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":"2026-07-05T00:51:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NYLdYFK36x8QtqBkLi3LnS2VMvEjUcdviNJU/8nH8rnb2aUoq9w0TXppJtlkCcEy4IT8+bq74skEAlhO1FQcAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:41:46.033026Z"},"content_sha256":"bad2b360d0a42d54fc83b441cc5452e6acd7881ad906869dc2c894d8c7fbedaf","schema_version":"1.0","event_id":"sha256:bad2b360d0a42d54fc83b441cc5452e6acd7881ad906869dc2c894d8c7fbedaf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:7JBGJEJGODCSZ6RSI4FAOGIKNP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving out-of-distribution generalization via multi-task self-supervised pretraining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Isabela Albuquerque, Junnan Li, Nikhil Naik, Nitish Keskar, Richard Socher","submitted_at":"2020-03-30T14:55:53Z","abstract_excerpt":"Self-supervised feature representations have been shown to be useful for supervised classification, few-shot learning, and adversarial robustness. We show that features obtained using self-supervised learning are comparable to, or better than, supervised learning for domain generalization in computer vision. We introduce a new self-supervised pretext task of predicting responses to Gabor filter banks and demonstrate that multi-task learning of compatible pretext tasks improves domain generalization performance as compared to training individual tasks alone. Features learnt through self-supervi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13525","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/2003.13525/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":"2026-07-05T00:51:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWB6DetiFw0EsBtoq9UHCy498s9zZ7r74wZavjNNmJM8O8m1S6yKpuavVBBSTIXp7qsR0c4x3xypg0uA5PYJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:41:46.033557Z"},"content_sha256":"a2315c3c41aa9bc8c9e989578500445f70051ca9497b5dfaf7ff7b4da702bd4e","schema_version":"1.0","event_id":"sha256:a2315c3c41aa9bc8c9e989578500445f70051ca9497b5dfaf7ff7b4da702bd4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP/bundle.json","state_url":"https://pith.science/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP/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":"2026-08-09T03:41:46Z","links":{"resolver":"https://pith.science/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP","bundle":"https://pith.science/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP/bundle.json","state":"https://pith.science/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7JBGJEJGODCSZ6RSI4FAOGIKNP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7JBGJEJGODCSZ6RSI4FAOGIKNP","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":"f5a1579fc4d93b2c132f46f1a61925900463eab101937b7c23777a6d0e9c0b3d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-30T14:55:53Z","title_canon_sha256":"d0f84b8fc7c093d37148ac0a3a480efffe97099361a374ccba4fd8fa6ffaf9d0"},"schema_version":"1.0","source":{"id":"2003.13525","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13525","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13525v1","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13525","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"pith_short_12","alias_value":"7JBGJEJGODCS","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"pith_short_16","alias_value":"7JBGJEJGODCSZ6RS","created_at":"2026-07-05T00:51:23Z"},{"alias_kind":"pith_short_8","alias_value":"7JBGJEJG","created_at":"2026-07-05T00:51:23Z"}],"graph_snapshots":[{"event_id":"sha256:a2315c3c41aa9bc8c9e989578500445f70051ca9497b5dfaf7ff7b4da702bd4e","target":"graph","created_at":"2026-07-05T00:51:23Z","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/2003.13525/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised feature representations have been shown to be useful for supervised classification, few-shot learning, and adversarial robustness. We show that features obtained using self-supervised learning are comparable to, or better than, supervised learning for domain generalization in computer vision. We introduce a new self-supervised pretext task of predicting responses to Gabor filter banks and demonstrate that multi-task learning of compatible pretext tasks improves domain generalization performance as compared to training individual tasks alone. Features learnt through self-supervi","authors_text":"Isabela Albuquerque, Junnan Li, Nikhil Naik, Nitish Keskar, Richard Socher","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-30T14:55:53Z","title":"Improving out-of-distribution generalization via multi-task self-supervised pretraining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13525","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:bad2b360d0a42d54fc83b441cc5452e6acd7881ad906869dc2c894d8c7fbedaf","target":"record","created_at":"2026-07-05T00:51:23Z","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":"f5a1579fc4d93b2c132f46f1a61925900463eab101937b7c23777a6d0e9c0b3d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-30T14:55:53Z","title_canon_sha256":"d0f84b8fc7c093d37148ac0a3a480efffe97099361a374ccba4fd8fa6ffaf9d0"},"schema_version":"1.0","source":{"id":"2003.13525","kind":"arxiv","version":1}},"canonical_sha256":"fa4264912670c52cfa32470a07190a6bebaea47028a1169fdd24a6c7a237b11d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa4264912670c52cfa32470a07190a6bebaea47028a1169fdd24a6c7a237b11d","first_computed_at":"2026-07-05T00:51:23.872358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:51:23.872358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MRzgXQNY4C098dx3X1GdEdiEzwgjQ9/lQeNLtYel47XwUOca+AvNN1kqz9ST+uqpLeAaUYT2DIt3Gi0IJ096DA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:51:23.872912Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.13525","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bad2b360d0a42d54fc83b441cc5452e6acd7881ad906869dc2c894d8c7fbedaf","sha256:a2315c3c41aa9bc8c9e989578500445f70051ca9497b5dfaf7ff7b4da702bd4e"],"state_sha256":"67241065777d530f305d789b0416afb081647098876a5636c2454eb37bb4d496"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ve8Z0oHpmCoruShTYZ9V0IsyzVhT/ZIiBZdTAB+VU8Ek1Go6wc0dGGLibgoKP9Cn/AOEMsGa2PRgrJLKMc2xAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T03:41:46.039900Z","bundle_sha256":"136fe60c80d1429f6d3d499daf8ff4fafcf2f26e2f6b4f399ed413a118523aee"}}