{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TDFOEXVNZH3MGKUPVUNHZKMHPF","short_pith_number":"pith:TDFOEXVN","canonical_record":{"source":{"id":"2004.07211","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-04-15T17:13:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"25969fe1a6285419faa0d3365c33d652e93a49a743351d2e4ffad6c446d8dbdf","abstract_canon_sha256":"09306975db9bfd3d2db61945023b6445a693046bc7028232db8c812473d385f7"},"schema_version":"1.0"},"canonical_sha256":"98cae25eadc9f6c32a8fad1a7ca987794d0efc50aff9a3d965de9556e76ce776","source":{"kind":"arxiv","id":"2004.07211","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.07211","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"arxiv_version","alias_value":"2004.07211v2","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.07211","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"pith_short_12","alias_value":"TDFOEXVNZH3M","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"pith_short_16","alias_value":"TDFOEXVNZH3MGKUP","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"pith_short_8","alias_value":"TDFOEXVN","created_at":"2026-07-05T01:45:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TDFOEXVNZH3MGKUPVUNHZKMHPF","target":"record","payload":{"canonical_record":{"source":{"id":"2004.07211","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-04-15T17:13:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"25969fe1a6285419faa0d3365c33d652e93a49a743351d2e4ffad6c446d8dbdf","abstract_canon_sha256":"09306975db9bfd3d2db61945023b6445a693046bc7028232db8c812473d385f7"},"schema_version":"1.0"},"canonical_sha256":"98cae25eadc9f6c32a8fad1a7ca987794d0efc50aff9a3d965de9556e76ce776","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:03.070970Z","signature_b64":"2yFl8k7okWn3b/O3lupgjGQ7si25rnUDd21NepoVltcUHE6zGGEqUpW0Jy5aLh4XZ3Y1KLdqPZuMfxuomKl+DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98cae25eadc9f6c32a8fad1a7ca987794d0efc50aff9a3d965de9556e76ce776","last_reissued_at":"2026-07-05T01:45:03.070528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:03.070528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.07211","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:45:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tfd35pYg5n7F9ROOQxdaT71vRHXX7LGUoGpI0NTDLbXRlh3Mk7GnnhnH/c6huU+RMfOd/e9hyWBHmd3IfOSnCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:27:43.271982Z"},"content_sha256":"7f7a71333229156b5710fa9fc75432bddbfa0707a75e81e69a553c1e5c7b237a","schema_version":"1.0","event_id":"sha256:7f7a71333229156b5710fa9fc75432bddbfa0707a75e81e69a553c1e5c7b237a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TDFOEXVNZH3MGKUPVUNHZKMHPF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dark Experience for General Continual Learning: a Strong, Simple Baseline","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Angelo Porrello, Davide Abati, Matteo Boschini, Pietro Buzzega, Simone Calderara","submitted_at":"2020-04-15T17:13:05Z","abstract_excerpt":"Continual Learning has inspired a plethora of approaches and evaluation settings; however, the majority of them overlooks the properties of a practical scenario, where the data stream cannot be shaped as a sequence of tasks and offline training is not viable. We work towards General Continual Learning (GCL), where task boundaries blur and the domain and class distributions shift either gradually or suddenly. We address it through mixing rehearsal with knowledge distillation and regularization; our simple baseline, Dark Experience Replay, matches the network's logits sampled throughout the opti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.07211","kind":"arxiv","version":2},"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/2004.07211/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":"2026-07-05T01:45:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VPQMMcU7Kp/4sFel5cifLKibH/g/oegzSxj+BUmXRj0LrEYB+zBTSlxMkKb+TqPWBu5s9my/OduPA2kZ+93uCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:27:43.272567Z"},"content_sha256":"00fa0242e157f7afccb0ac0ed2a418739fabb8a42283604352061b0a7bba508e","schema_version":"1.0","event_id":"sha256:00fa0242e157f7afccb0ac0ed2a418739fabb8a42283604352061b0a7bba508e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF/bundle.json","state_url":"https://pith.science/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF/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":"2026-08-07T09:27:43Z","links":{"resolver":"https://pith.science/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF","bundle":"https://pith.science/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF/bundle.json","state":"https://pith.science/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TDFOEXVNZH3MGKUPVUNHZKMHPF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TDFOEXVNZH3MGKUPVUNHZKMHPF","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":"09306975db9bfd3d2db61945023b6445a693046bc7028232db8c812473d385f7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-04-15T17:13:05Z","title_canon_sha256":"25969fe1a6285419faa0d3365c33d652e93a49a743351d2e4ffad6c446d8dbdf"},"schema_version":"1.0","source":{"id":"2004.07211","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.07211","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"arxiv_version","alias_value":"2004.07211v2","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.07211","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"pith_short_12","alias_value":"TDFOEXVNZH3M","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"pith_short_16","alias_value":"TDFOEXVNZH3MGKUP","created_at":"2026-07-05T01:45:03Z"},{"alias_kind":"pith_short_8","alias_value":"TDFOEXVN","created_at":"2026-07-05T01:45:03Z"}],"graph_snapshots":[{"event_id":"sha256:00fa0242e157f7afccb0ac0ed2a418739fabb8a42283604352061b0a7bba508e","target":"graph","created_at":"2026-07-05T01:45:03Z","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/2004.07211/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual Learning has inspired a plethora of approaches and evaluation settings; however, the majority of them overlooks the properties of a practical scenario, where the data stream cannot be shaped as a sequence of tasks and offline training is not viable. We work towards General Continual Learning (GCL), where task boundaries blur and the domain and class distributions shift either gradually or suddenly. We address it through mixing rehearsal with knowledge distillation and regularization; our simple baseline, Dark Experience Replay, matches the network's logits sampled throughout the opti","authors_text":"Angelo Porrello, Davide Abati, Matteo Boschini, Pietro Buzzega, Simone Calderara","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-04-15T17:13:05Z","title":"Dark Experience for General Continual Learning: a Strong, Simple Baseline"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.07211","kind":"arxiv","version":2},"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":"sha256:7f7a71333229156b5710fa9fc75432bddbfa0707a75e81e69a553c1e5c7b237a","target":"record","created_at":"2026-07-05T01:45:03Z","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":"09306975db9bfd3d2db61945023b6445a693046bc7028232db8c812473d385f7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-04-15T17:13:05Z","title_canon_sha256":"25969fe1a6285419faa0d3365c33d652e93a49a743351d2e4ffad6c446d8dbdf"},"schema_version":"1.0","source":{"id":"2004.07211","kind":"arxiv","version":2}},"canonical_sha256":"98cae25eadc9f6c32a8fad1a7ca987794d0efc50aff9a3d965de9556e76ce776","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98cae25eadc9f6c32a8fad1a7ca987794d0efc50aff9a3d965de9556e76ce776","first_computed_at":"2026-07-05T01:45:03.070528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:03.070528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2yFl8k7okWn3b/O3lupgjGQ7si25rnUDd21NepoVltcUHE6zGGEqUpW0Jy5aLh4XZ3Y1KLdqPZuMfxuomKl+DA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:03.070970Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.07211","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f7a71333229156b5710fa9fc75432bddbfa0707a75e81e69a553c1e5c7b237a","sha256:00fa0242e157f7afccb0ac0ed2a418739fabb8a42283604352061b0a7bba508e"],"state_sha256":"2386f6fc11e58f7f7ee45146b5c900267971a6d18bc0bdeb5b405cc161442222"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPpBa3WGpsYm6EfnLCtkrKEY0GBCXrwu1KAZin/5c6YAmZvVoYZq4RdQQS/ANxxASadF2LXodWmBNCYrlCf8CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:27:43.277437Z","bundle_sha256":"33fae88a7f505fe3f14e97b439e7e814963415b82f3171c301a51ad986e40f89"}}