{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PIL2SWGWQKJOSXVIURJK65N5IT","short_pith_number":"pith:PIL2SWGW","canonical_record":{"source":{"id":"2305.02507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-04T02:38:11Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"cfac15f62e014e17dfc4c01617de8a263ddef35576b61ebce871379b8d19a265","abstract_canon_sha256":"6b3a72472ac267a9ae082a3b3824230fb0d60ed5184e6d815193b1ac0ed088cc"},"schema_version":"1.0"},"canonical_sha256":"7a17a958d68292e95ea8a452af75bd44e6ff8aabf776dbe009b2e1b32e3640bf","source":{"kind":"arxiv","id":"2305.02507","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.02507","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2305.02507v1","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.02507","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"PIL2SWGWQKJO","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"PIL2SWGWQKJOSXVI","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"PIL2SWGW","created_at":"2026-07-05T06:07:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PIL2SWGWQKJOSXVIURJK65N5IT","target":"record","payload":{"canonical_record":{"source":{"id":"2305.02507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-04T02:38:11Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"cfac15f62e014e17dfc4c01617de8a263ddef35576b61ebce871379b8d19a265","abstract_canon_sha256":"6b3a72472ac267a9ae082a3b3824230fb0d60ed5184e6d815193b1ac0ed088cc"},"schema_version":"1.0"},"canonical_sha256":"7a17a958d68292e95ea8a452af75bd44e6ff8aabf776dbe009b2e1b32e3640bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:07:01.783080Z","signature_b64":"JdZm/G8F5SS4WCn99wSTKqXnKzO6O/Ro/VTv+SGRL8KaqZsCBFcq+tl4f0T90Yx7LudsZmLiynzRh6td8G1WBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a17a958d68292e95ea8a452af75bd44e6ff8aabf776dbe009b2e1b32e3640bf","last_reissued_at":"2026-07-05T06:07:01.782671Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:07:01.782671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.02507","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":"2026-07-05T06:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mFtJVAgkdso2ZF4/r6VCFfq8V0J5fbZBiZ/+hQbbHRRX+eK9xTGz5ttMh1scorKUFq6u5vFS8HCVdlL/ouxsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:56:10.003135Z"},"content_sha256":"daa4301d2c05a58e447365d718e3207d79c53434830fa819b4f4ba2635d91d14","schema_version":"1.0","event_id":"sha256:daa4301d2c05a58e447365d718e3207d79c53434830fa819b4f4ba2635d91d14"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PIL2SWGWQKJOSXVIURJK65N5IT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stimulative Training++: Go Beyond The Performance Limits of Residual Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Baopu Li, Lei Bai, Peng Ye, Shengji Tang, Tao Chen, Tong He, Wanli Ouyang","submitted_at":"2023-05-04T02:38:11Z","abstract_excerpt":"Residual networks have shown great success and become indispensable in recent deep neural network models. In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training scheme as well as three improved strategies for boosting residual networks beyond their performance limits. Previous research has suggested that residual networks can be considered as ensembles of shallow networks, which implies that the final performance of a residual network is influenced by a group of subnetworks. We i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.02507","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/2305.02507/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":"2026-07-05T06:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ak+Ae/C3wfJOa8x9GlDjQtz4HtqmqOtBxIVgi7o4cUfkP8sVSgLP9kUBjZpWJEeKsoSAUz3CR2kw4/NO3le4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:56:10.003523Z"},"content_sha256":"da297151ff585543fb2bc40780ae5ea3b1de67914eed5370a0e5cab41ea380bd","schema_version":"1.0","event_id":"sha256:da297151ff585543fb2bc40780ae5ea3b1de67914eed5370a0e5cab41ea380bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PIL2SWGWQKJOSXVIURJK65N5IT/bundle.json","state_url":"https://pith.science/pith/PIL2SWGWQKJOSXVIURJK65N5IT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PIL2SWGWQKJOSXVIURJK65N5IT/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":"2026-07-07T09:56:10Z","links":{"resolver":"https://pith.science/pith/PIL2SWGWQKJOSXVIURJK65N5IT","bundle":"https://pith.science/pith/PIL2SWGWQKJOSXVIURJK65N5IT/bundle.json","state":"https://pith.science/pith/PIL2SWGWQKJOSXVIURJK65N5IT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PIL2SWGWQKJOSXVIURJK65N5IT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PIL2SWGWQKJOSXVIURJK65N5IT","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":"6b3a72472ac267a9ae082a3b3824230fb0d60ed5184e6d815193b1ac0ed088cc","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-04T02:38:11Z","title_canon_sha256":"cfac15f62e014e17dfc4c01617de8a263ddef35576b61ebce871379b8d19a265"},"schema_version":"1.0","source":{"id":"2305.02507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.02507","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2305.02507v1","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.02507","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"PIL2SWGWQKJO","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"PIL2SWGWQKJOSXVI","created_at":"2026-07-05T06:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"PIL2SWGW","created_at":"2026-07-05T06:07:01Z"}],"graph_snapshots":[{"event_id":"sha256:da297151ff585543fb2bc40780ae5ea3b1de67914eed5370a0e5cab41ea380bd","target":"graph","created_at":"2026-07-05T06:07:01Z","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/2305.02507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Residual networks have shown great success and become indispensable in recent deep neural network models. In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training scheme as well as three improved strategies for boosting residual networks beyond their performance limits. Previous research has suggested that residual networks can be considered as ensembles of shallow networks, which implies that the final performance of a residual network is influenced by a group of subnetworks. We i","authors_text":"Baopu Li, Lei Bai, Peng Ye, Shengji Tang, Tao Chen, Tong He, Wanli Ouyang","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-04T02:38:11Z","title":"Stimulative Training++: Go Beyond The Performance Limits of Residual Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.02507","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:daa4301d2c05a58e447365d718e3207d79c53434830fa819b4f4ba2635d91d14","target":"record","created_at":"2026-07-05T06:07:01Z","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":"6b3a72472ac267a9ae082a3b3824230fb0d60ed5184e6d815193b1ac0ed088cc","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-04T02:38:11Z","title_canon_sha256":"cfac15f62e014e17dfc4c01617de8a263ddef35576b61ebce871379b8d19a265"},"schema_version":"1.0","source":{"id":"2305.02507","kind":"arxiv","version":1}},"canonical_sha256":"7a17a958d68292e95ea8a452af75bd44e6ff8aabf776dbe009b2e1b32e3640bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a17a958d68292e95ea8a452af75bd44e6ff8aabf776dbe009b2e1b32e3640bf","first_computed_at":"2026-07-05T06:07:01.782671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:07:01.782671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JdZm/G8F5SS4WCn99wSTKqXnKzO6O/Ro/VTv+SGRL8KaqZsCBFcq+tl4f0T90Yx7LudsZmLiynzRh6td8G1WBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:07:01.783080Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.02507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:daa4301d2c05a58e447365d718e3207d79c53434830fa819b4f4ba2635d91d14","sha256:da297151ff585543fb2bc40780ae5ea3b1de67914eed5370a0e5cab41ea380bd"],"state_sha256":"5af6bd9a204c422bed252d070cfc0980a5097b67e8aacedbe1e51519d18dfa0d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"81wLs9FqmFqYE0kUm0/e7pzDSe1m5NFkONTBCDjyb/KHb9LUGtng9m9loLq9/jjI+7jHeOy9SWrEuktBJKOQDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:56:10.005462Z","bundle_sha256":"a87719ebdb3adef96a69158e941fa0c7985e0334fbaeb9c9e8a052b0751c72ab"}}