{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:6GQHCGYAUQUE7RHZ7VVTRYTJC7","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":"db6782173de83d84108c1cd3af3fc10fcf22955b144b832fa95a0156b8c2045a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T09:33:41Z","title_canon_sha256":"4403eabdb936a3e6e853b5f25fc4514cc0a175a6884c61c2b72602756ecb4579"},"schema_version":"1.0","source":{"id":"1908.05040","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05040","created_at":"2026-07-05T07:49:27Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05040v2","created_at":"2026-07-05T07:49:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05040","created_at":"2026-07-05T07:49:27Z"},{"alias_kind":"pith_short_12","alias_value":"6GQHCGYAUQUE","created_at":"2026-07-05T07:49:27Z"},{"alias_kind":"pith_short_16","alias_value":"6GQHCGYAUQUE7RHZ","created_at":"2026-07-05T07:49:27Z"},{"alias_kind":"pith_short_8","alias_value":"6GQHCGYA","created_at":"2026-07-05T07:49:27Z"}],"graph_snapshots":[{"event_id":"sha256:24f309fd76e13830e6ec59a87283a228fe29b93f520f617b604f685ff4c7be69","target":"graph","created_at":"2026-07-05T07:49:27Z","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/1908.05040/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They are used to aggregate activations of spatial locations to produce a fixed-size vector in several state-of-the-art CNNs. Global average pooling or global max pooling are commonly used for converting convolutional features of variable size images to a fix-sized embedding. However, both pooling layer types are computed spatially independent: each individual activation map is pooled and thus activations of different locations are pooled together. In contrast, we propose Deep Generalized Max Pooling that balanc","authors_text":"Andreas Maier, Anguelos Nicolaou, Lukas Spranger, Mathias Seuret, Pavel Kr\\'al, Vincent Christlein","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T09:33:41Z","title":"Deep Generalized Max Pooling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05040","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:d31cae4a286f1f901873795c6b0042b66306c50bd151f9403038fe5549477239","target":"record","created_at":"2026-07-05T07:49:27Z","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":"db6782173de83d84108c1cd3af3fc10fcf22955b144b832fa95a0156b8c2045a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T09:33:41Z","title_canon_sha256":"4403eabdb936a3e6e853b5f25fc4514cc0a175a6884c61c2b72602756ecb4579"},"schema_version":"1.0","source":{"id":"1908.05040","kind":"arxiv","version":2}},"canonical_sha256":"f1a0711b00a4284fc4f9fd6b38e26917fbb4bf80caac550e4721b51ae710374a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1a0711b00a4284fc4f9fd6b38e26917fbb4bf80caac550e4721b51ae710374a","first_computed_at":"2026-07-05T07:49:27.114527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:49:27.114527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6pfmHwDNNg6xBG6HrHX7NMTFzBFnEwC5z4/IpkInzfukjn0ynlz0dhRnhp0molPd8gU7KHdCVv9IXGW7X3hLDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:49:27.114956Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05040","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d31cae4a286f1f901873795c6b0042b66306c50bd151f9403038fe5549477239","sha256:24f309fd76e13830e6ec59a87283a228fe29b93f520f617b604f685ff4c7be69"],"state_sha256":"4d8a2f7b7473f4c38615800c82651b67fa22f732b17883c928882de0207185ef"}