{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:IYXR3AGKXUK2G2LIC6CWHJ7KZZ","short_pith_number":"pith:IYXR3AGK","canonical_record":{"source":{"id":"1911.11929","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-27T03:15:27Z","cross_cats_sorted":[],"title_canon_sha256":"8d2ef51af16e63378beaa8de36714efba61ccce23d752e6c56dbddf88c3e7350","abstract_canon_sha256":"d7711949532d877aec94dd396d9e81eaf53d83b98a5544630c39886a63fad2d6"},"schema_version":"1.0"},"canonical_sha256":"462f1d80cabd15a36968178563a7eace75e5b0bc072543d66ddc3742690c8174","source":{"kind":"arxiv","id":"1911.11929","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11929","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11929v1","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11929","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"IYXR3AGKXUK2","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"IYXR3AGKXUK2G2LI","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"IYXR3AGK","created_at":"2026-07-05T00:22:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:IYXR3AGKXUK2G2LIC6CWHJ7KZZ","target":"record","payload":{"canonical_record":{"source":{"id":"1911.11929","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-27T03:15:27Z","cross_cats_sorted":[],"title_canon_sha256":"8d2ef51af16e63378beaa8de36714efba61ccce23d752e6c56dbddf88c3e7350","abstract_canon_sha256":"d7711949532d877aec94dd396d9e81eaf53d83b98a5544630c39886a63fad2d6"},"schema_version":"1.0"},"canonical_sha256":"462f1d80cabd15a36968178563a7eace75e5b0bc072543d66ddc3742690c8174","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:22:28.805035Z","signature_b64":"7QN29uXgrmTl20Wau7oZ5D3Gx2JCR7+l6y0NEJ6MM2V9vDRVv/b13afOB8YvCgtS/pseopy4AJgJPGNzEWOJCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"462f1d80cabd15a36968178563a7eace75e5b0bc072543d66ddc3742690c8174","last_reissued_at":"2026-07-05T00:22:28.804635Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:22:28.804635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.11929","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":"2026-07-05T00:22:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DoWidDqTB29LDVtT6MYz1s9oXbVTXtoxXEUXFx6Sw95yZ+OEOFPTb1fspBTMtbErlJUxeHnkYbyCVdpU4L7GCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:33:40.157333Z"},"content_sha256":"9360c6362ef40528271b98cede8ce7bde834a1cf2b3ed1e5dd1ddb2a5fbd7161","schema_version":"1.0","event_id":"sha256:9360c6362ef40528271b98cede8ce7bde834a1cf2b3ed1e5dd1ddb2a5fbd7161"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:IYXR3AGKXUK2G2LIC6CWHJ7KZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CSPNet: A New Backbone that can Enhance Learning Capability of CNN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Jun-Wei Hsieh, Ping-Yang Chen, Yueh-Hua Wu","submitted_at":"2019-11-27T03:15:27Z","abstract_excerpt":"Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on costly computation resources, which hinders people with cheap devices from appreciating the advanced technology. In this paper, we propose Cross Stage Partial Network (CSPNet) to mitigate the problem that previous works require heavy inference computations from the network architecture perspective. We attribute the problem to the duplicate gradient information within network optimization. The proposed networks respect "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11929","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/1911.11929/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":"2026-07-05T00:22:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z691M06c4DSlCiMsW39K6tQaYbpdQb2YNWyh+HTy+rcCpPPKWckctYJZGqWAe2xsjoBbUVh138cKC+B4+cdbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:33:40.158279Z"},"content_sha256":"6156f35a21093ffe97668fe9e40897730db586ee767480c9838afce329ae9363","schema_version":"1.0","event_id":"sha256:6156f35a21093ffe97668fe9e40897730db586ee767480c9838afce329ae9363"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ/bundle.json","state_url":"https://pith.science/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ/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":"2026-08-09T09:33:40Z","links":{"resolver":"https://pith.science/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ","bundle":"https://pith.science/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ/bundle.json","state":"https://pith.science/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IYXR3AGKXUK2G2LIC6CWHJ7KZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IYXR3AGKXUK2G2LIC6CWHJ7KZZ","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":"d7711949532d877aec94dd396d9e81eaf53d83b98a5544630c39886a63fad2d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-27T03:15:27Z","title_canon_sha256":"8d2ef51af16e63378beaa8de36714efba61ccce23d752e6c56dbddf88c3e7350"},"schema_version":"1.0","source":{"id":"1911.11929","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.11929","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"1911.11929v1","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.11929","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"IYXR3AGKXUK2","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"IYXR3AGKXUK2G2LI","created_at":"2026-07-05T00:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"IYXR3AGK","created_at":"2026-07-05T00:22:28Z"}],"graph_snapshots":[{"event_id":"sha256:6156f35a21093ffe97668fe9e40897730db586ee767480c9838afce329ae9363","target":"graph","created_at":"2026-07-05T00:22:28Z","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/1911.11929/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on costly computation resources, which hinders people with cheap devices from appreciating the advanced technology. In this paper, we propose Cross Stage Partial Network (CSPNet) to mitigate the problem that previous works require heavy inference computations from the network architecture perspective. We attribute the problem to the duplicate gradient information within network optimization. The proposed networks respect ","authors_text":"Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Jun-Wei Hsieh, Ping-Yang Chen, Yueh-Hua Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-27T03:15:27Z","title":"CSPNet: A New Backbone that can Enhance Learning Capability of CNN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.11929","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":"sha256:9360c6362ef40528271b98cede8ce7bde834a1cf2b3ed1e5dd1ddb2a5fbd7161","target":"record","created_at":"2026-07-05T00:22:28Z","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":"d7711949532d877aec94dd396d9e81eaf53d83b98a5544630c39886a63fad2d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-11-27T03:15:27Z","title_canon_sha256":"8d2ef51af16e63378beaa8de36714efba61ccce23d752e6c56dbddf88c3e7350"},"schema_version":"1.0","source":{"id":"1911.11929","kind":"arxiv","version":1}},"canonical_sha256":"462f1d80cabd15a36968178563a7eace75e5b0bc072543d66ddc3742690c8174","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"462f1d80cabd15a36968178563a7eace75e5b0bc072543d66ddc3742690c8174","first_computed_at":"2026-07-05T00:22:28.804635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:22:28.804635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7QN29uXgrmTl20Wau7oZ5D3Gx2JCR7+l6y0NEJ6MM2V9vDRVv/b13afOB8YvCgtS/pseopy4AJgJPGNzEWOJCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:22:28.805035Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.11929","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9360c6362ef40528271b98cede8ce7bde834a1cf2b3ed1e5dd1ddb2a5fbd7161","sha256:6156f35a21093ffe97668fe9e40897730db586ee767480c9838afce329ae9363"],"state_sha256":"44e58052a384715012eb15a9fb61d80a87f5454d99d77fcffaf824ecb315cc85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XzSkku6cJ98Fwv5ZStMjQppiU87XDhn835Q7B1XoYGZaYsc20bj6cQIjO+HXF8QkmOs165S1/2z+Cq44VPbzCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T09:33:40.163138Z","bundle_sha256":"270df63c19f08f853a87c0a2e5453dbae1c4ce731bdae48d4cb90ac1ad49dc77"}}