{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:IEG2IAT3AVT2CM4LTW3E3RR2FD","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":"fa99d77d21e93bcee943756c7558311c05f852b6c1974e534313e9753161a9fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T23:33:38Z","title_canon_sha256":"12a129b9b775068789fc1614f86618681b9ca2cee40312b9421318db8ac64c0c"},"schema_version":"1.0","source":{"id":"1611.05503","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.05503","created_at":"2026-05-18T00:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"1611.05503v1","created_at":"2026-05-18T00:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.05503","created_at":"2026-05-18T00:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"IEG2IAT3AVT2","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IEG2IAT3AVT2CM4L","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IEG2IAT3","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:7a4320f8d6412f05407b25f5ee10907b29cf4f4e7b98dfb61f91e0dbf5ce1113","target":"graph","created_at":"2026-05-18T00:58:03Z","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"},"paper":{"abstract_excerpt":"Despite recent advances in multi-scale deep representations, their limitations are attributed to expensive parameters and weak fusion modules. Hence, we propose an efficient approach to fuse multi-scale deep representations, called convolutional fusion networks (CFN). Owing to using 1$\\times$1 convolution and global average pooling, CFN can efficiently generate the side branches while adding few parameters. In addition, we present a locally-connected fusion module, which can learn adaptive weights for the side branches and form a discriminatively fused feature. CFN models trained on the CIFAR ","authors_text":"Michael S. Lew, Yanming Guo, Yu Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T23:33:38Z","title":"On the Exploration of Convolutional Fusion Networks for Visual Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.05503","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":"sha256:38f3d2749eb03f86e8f0ddcf8eb10da3eb24881628cd46b876614f892a0688b7","target":"record","created_at":"2026-05-18T00:58:03Z","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":"fa99d77d21e93bcee943756c7558311c05f852b6c1974e534313e9753161a9fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T23:33:38Z","title_canon_sha256":"12a129b9b775068789fc1614f86618681b9ca2cee40312b9421318db8ac64c0c"},"schema_version":"1.0","source":{"id":"1611.05503","kind":"arxiv","version":1}},"canonical_sha256":"410da4027b0567a1338b9db64dc63a28f046bfc87a59d1b959ac3660f4953ea7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"410da4027b0567a1338b9db64dc63a28f046bfc87a59d1b959ac3660f4953ea7","first_computed_at":"2026-05-18T00:58:03.370373Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:03.370373Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VphJR4U9k6YZkd2malYrujmBLEWOvk5S8ok8E456+HA6GmVwNMyOLzkKlXm+QQZAbshHYXyCkzria0MfHJwCAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:03.371136Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.05503","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38f3d2749eb03f86e8f0ddcf8eb10da3eb24881628cd46b876614f892a0688b7","sha256:7a4320f8d6412f05407b25f5ee10907b29cf4f4e7b98dfb61f91e0dbf5ce1113"],"state_sha256":"89600ed0d26a846bd1a1c2dbaec1c16dc37ea7c288d28cae3516759e3aeba32b"}