{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:IR6MIOQTUMRDYF4E4JWCFN7IBS","short_pith_number":"pith:IR6MIOQT","canonical_record":{"source":{"id":"1908.04008","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-12T05:42:09Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"1529913df6084085c7aa160b6ed9c4d1e3728a48523e0463a3899e15318709fb","abstract_canon_sha256":"bda411e0936b22b1f4d760bd8adb38407bf4239224d0fe0be2d73f85fd1ab83e"},"schema_version":"1.0"},"canonical_sha256":"447cc43a13a3223c1784e26c22b7e80c9f67285acda648469288dadcd25c2141","source":{"kind":"arxiv","id":"1908.04008","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.04008","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"1908.04008v2","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.04008","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"IR6MIOQTUMRD","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"IR6MIOQTUMRDYF4E","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"IR6MIOQT","created_at":"2026-07-05T00:05:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:IR6MIOQTUMRDYF4E4JWCFN7IBS","target":"record","payload":{"canonical_record":{"source":{"id":"1908.04008","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-12T05:42:09Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"1529913df6084085c7aa160b6ed9c4d1e3728a48523e0463a3899e15318709fb","abstract_canon_sha256":"bda411e0936b22b1f4d760bd8adb38407bf4239224d0fe0be2d73f85fd1ab83e"},"schema_version":"1.0"},"canonical_sha256":"447cc43a13a3223c1784e26c22b7e80c9f67285acda648469288dadcd25c2141","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:05:24.966455Z","signature_b64":"26sxNbHLQRlO6L6REHTz3oe+Hwb0s19v01DDp54dRDdlGzAbyCS5Lr1qeOWmkXZmQJurV8UaEWggelzLdv84BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"447cc43a13a3223c1784e26c22b7e80c9f67285acda648469288dadcd25c2141","last_reissued_at":"2026-07-05T00:05:24.966087Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:05:24.966087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.04008","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":"2026-07-05T00:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"79V+kmWyBuZmq1ecmWLM49GPMPVWggdYdkTRMlXUljXQ7Pn8r+xIWHTuII4/9ZdkiI8q1HdsYgEL4NbLzuVMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:30:43.281933Z"},"content_sha256":"9f7537d436736cf5ba669397762766db9c11ca25c13918068e1e3973d9cd1f38","schema_version":"1.0","event_id":"sha256:9f7537d436736cf5ba669397762766db9c11ca25c13918068e1e3973d9cd1f38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:IR6MIOQTUMRDYF4E4JWCFN7IBS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Haizhao Yang, Mingfu Liang, Senwei Liang, Zhongzhan Huang","submitted_at":"2019-08-12T05:42:09Z","abstract_excerpt":"Batch Normalization (BN)(Ioffe and Szegedy 2015) normalizes the features of an input image via statistics of a batch of images and hence BN will bring the noise to the gradient of the training loss. Previous works indicate that the noise is important for the optimization and generalization of deep neural networks, but too much noise will harm the performance of networks. In our paper, we offer a new point of view that self-attention mechanism can help to regulate the noise by enhancing instance-specific information to obtain a better regularization effect. Therefore, we propose an attention-ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.04008","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/1908.04008/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":"2026-07-05T00:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9QRanU3aiAXt4pykSFvMjSjADgulV//iOIeRNV5JnIWY68dDkQNEFMOa0+MeuBpw0HGdQnQGFMdVXMmTY6IACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:30:43.282515Z"},"content_sha256":"0a31d5d47fc71230f0a59bf45904857e97d6df27ab4cb3c2f1d96c1ef8ec3ab0","schema_version":"1.0","event_id":"sha256:0a31d5d47fc71230f0a59bf45904857e97d6df27ab4cb3c2f1d96c1ef8ec3ab0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS/bundle.json","state_url":"https://pith.science/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS/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":"2026-08-16T11:30:43Z","links":{"resolver":"https://pith.science/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS","bundle":"https://pith.science/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS/bundle.json","state":"https://pith.science/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IR6MIOQTUMRDYF4E4JWCFN7IBS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IR6MIOQTUMRDYF4E4JWCFN7IBS","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":"bda411e0936b22b1f4d760bd8adb38407bf4239224d0fe0be2d73f85fd1ab83e","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-12T05:42:09Z","title_canon_sha256":"1529913df6084085c7aa160b6ed9c4d1e3728a48523e0463a3899e15318709fb"},"schema_version":"1.0","source":{"id":"1908.04008","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.04008","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"1908.04008v2","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.04008","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"IR6MIOQTUMRD","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"IR6MIOQTUMRDYF4E","created_at":"2026-07-05T00:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"IR6MIOQT","created_at":"2026-07-05T00:05:24Z"}],"graph_snapshots":[{"event_id":"sha256:0a31d5d47fc71230f0a59bf45904857e97d6df27ab4cb3c2f1d96c1ef8ec3ab0","target":"graph","created_at":"2026-07-05T00:05:24Z","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/1908.04008/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Batch Normalization (BN)(Ioffe and Szegedy 2015) normalizes the features of an input image via statistics of a batch of images and hence BN will bring the noise to the gradient of the training loss. Previous works indicate that the noise is important for the optimization and generalization of deep neural networks, but too much noise will harm the performance of networks. In our paper, we offer a new point of view that self-attention mechanism can help to regulate the noise by enhancing instance-specific information to obtain a better regularization effect. Therefore, we propose an attention-ba","authors_text":"Haizhao Yang, Mingfu Liang, Senwei Liang, Zhongzhan Huang","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-12T05:42:09Z","title":"Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.04008","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":"sha256:9f7537d436736cf5ba669397762766db9c11ca25c13918068e1e3973d9cd1f38","target":"record","created_at":"2026-07-05T00:05:24Z","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":"bda411e0936b22b1f4d760bd8adb38407bf4239224d0fe0be2d73f85fd1ab83e","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-12T05:42:09Z","title_canon_sha256":"1529913df6084085c7aa160b6ed9c4d1e3728a48523e0463a3899e15318709fb"},"schema_version":"1.0","source":{"id":"1908.04008","kind":"arxiv","version":2}},"canonical_sha256":"447cc43a13a3223c1784e26c22b7e80c9f67285acda648469288dadcd25c2141","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"447cc43a13a3223c1784e26c22b7e80c9f67285acda648469288dadcd25c2141","first_computed_at":"2026-07-05T00:05:24.966087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:05:24.966087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"26sxNbHLQRlO6L6REHTz3oe+Hwb0s19v01DDp54dRDdlGzAbyCS5Lr1qeOWmkXZmQJurV8UaEWggelzLdv84BA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:05:24.966455Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.04008","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f7537d436736cf5ba669397762766db9c11ca25c13918068e1e3973d9cd1f38","sha256:0a31d5d47fc71230f0a59bf45904857e97d6df27ab4cb3c2f1d96c1ef8ec3ab0"],"state_sha256":"e9181c5329631a7dfbf3bbd5622b0f2ec1e24c90caf9173ad4ad467b79ac8d92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Plpuk35br3264lQ68cD5BusJ5c9hYQ0aWGg+66t1gr37yI0DrAVIg6uvn42WFK+It9DeMsnM92rjNdIxmIZGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T11:30:43.286561Z","bundle_sha256":"39a636157bc254b00205ac6a7a0adec51f3f973ae26bae7b8de8a34d2022ed0e"}}