{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JHXWUCY5JGRYCVWQSFTUWZEWUZ","short_pith_number":"pith:JHXWUCY5","canonical_record":{"source":{"id":"1808.07993","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-24T03:17:17Z","cross_cats_sorted":[],"title_canon_sha256":"977377f8ceff1517f8d818753b132254c0e68cdb72dd754e476e393cdd0a676f","abstract_canon_sha256":"f757518d79ad65af4f7f4ac7e41289c5a94109c2b1b1a721c97e41a235078276"},"schema_version":"1.0"},"canonical_sha256":"49ef6a0b1d49a38156d091674b6496a6709f6a8d3dbef684498d9c3ee2309d59","source":{"kind":"arxiv","id":"1808.07993","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.07993","created_at":"2026-05-18T00:07:22Z"},{"alias_kind":"arxiv_version","alias_value":"1808.07993v1","created_at":"2026-05-18T00:07:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.07993","created_at":"2026-05-18T00:07:22Z"},{"alias_kind":"pith_short_12","alias_value":"JHXWUCY5JGRY","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JHXWUCY5JGRYCVWQ","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JHXWUCY5","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JHXWUCY5JGRYCVWQSFTUWZEWUZ","target":"record","payload":{"canonical_record":{"source":{"id":"1808.07993","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-24T03:17:17Z","cross_cats_sorted":[],"title_canon_sha256":"977377f8ceff1517f8d818753b132254c0e68cdb72dd754e476e393cdd0a676f","abstract_canon_sha256":"f757518d79ad65af4f7f4ac7e41289c5a94109c2b1b1a721c97e41a235078276"},"schema_version":"1.0"},"canonical_sha256":"49ef6a0b1d49a38156d091674b6496a6709f6a8d3dbef684498d9c3ee2309d59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:22.817961Z","signature_b64":"kliHISqmZo2d7+X7Fv9XOqlroKYLwXSShnyWdgyAXVCenqAzUzqxYMbrSqnxqpTYmn/8iUya8dVuOyxtn6FhDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49ef6a0b1d49a38156d091674b6496a6709f6a8d3dbef684498d9c3ee2309d59","last_reissued_at":"2026-05-18T00:07:22.817443Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:22.817443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.07993","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":"2026-05-18T00:07:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4sH7FXIux2FkywpN4dLEayF7w7VdFzBxmkUN6HKYSzehBml1AugddUYN9wKL9W8YrZ0IabOYuIPnVb1fx8bjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T14:59:15.810649Z"},"content_sha256":"2b77753a199ca3aad7b7a8df72eb0ba2c85308704652bb13f3bf6b2275af27e2","schema_version":"1.0","event_id":"sha256:2b77753a199ca3aad7b7a8df72eb0ba2c85308704652bb13f3bf6b2275af27e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JHXWUCY5JGRYCVWQSFTUWZEWUZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Feature Pyramid Reconfiguration for Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fuchun Sun, Huaping Liu, Tao Kong, Wenbing Huang","submitted_at":"2018-08-24T03:17:17Z","abstract_excerpt":"State-of-the-art object detectors usually learn multi-scale representations to get better results by employing feature pyramids. However, the current designs for feature pyramids are still inefficient to integrate the semantic information over different scales. In this paper, we begin by investigating current feature pyramids solutions, and then reformulate the feature pyramid construction as the feature reconfiguration process. Finally, we propose a novel reconfiguration architecture to combine low-level representations with high-level semantic features in a highly-nonlinear yet efficient way"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.07993","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":""},"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":"2026-05-18T00:07:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HEUZXusOhWxCjLHDXY8jI40Oj9QuYMUJOLPb1Jy2+iI8s1Auscvp++EsgflJmqQTH+bHO2i2ZUh3DMG9swsYAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T14:59:15.811362Z"},"content_sha256":"71cdc0a858d1ea922a9bf68ffe84257a444084bcdd4b62373b540acf74e2fdd4","schema_version":"1.0","event_id":"sha256:71cdc0a858d1ea922a9bf68ffe84257a444084bcdd4b62373b540acf74e2fdd4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ/bundle.json","state_url":"https://pith.science/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ/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":"2026-05-29T14:59:15Z","links":{"resolver":"https://pith.science/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ","bundle":"https://pith.science/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ/bundle.json","state":"https://pith.science/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JHXWUCY5JGRYCVWQSFTUWZEWUZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JHXWUCY5JGRYCVWQSFTUWZEWUZ","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":"f757518d79ad65af4f7f4ac7e41289c5a94109c2b1b1a721c97e41a235078276","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-24T03:17:17Z","title_canon_sha256":"977377f8ceff1517f8d818753b132254c0e68cdb72dd754e476e393cdd0a676f"},"schema_version":"1.0","source":{"id":"1808.07993","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.07993","created_at":"2026-05-18T00:07:22Z"},{"alias_kind":"arxiv_version","alias_value":"1808.07993v1","created_at":"2026-05-18T00:07:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.07993","created_at":"2026-05-18T00:07:22Z"},{"alias_kind":"pith_short_12","alias_value":"JHXWUCY5JGRY","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JHXWUCY5JGRYCVWQ","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JHXWUCY5","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:71cdc0a858d1ea922a9bf68ffe84257a444084bcdd4b62373b540acf74e2fdd4","target":"graph","created_at":"2026-05-18T00:07:22Z","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":"State-of-the-art object detectors usually learn multi-scale representations to get better results by employing feature pyramids. However, the current designs for feature pyramids are still inefficient to integrate the semantic information over different scales. In this paper, we begin by investigating current feature pyramids solutions, and then reformulate the feature pyramid construction as the feature reconfiguration process. Finally, we propose a novel reconfiguration architecture to combine low-level representations with high-level semantic features in a highly-nonlinear yet efficient way","authors_text":"Fuchun Sun, Huaping Liu, Tao Kong, Wenbing Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-24T03:17:17Z","title":"Deep Feature Pyramid Reconfiguration for Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.07993","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":"sha256:2b77753a199ca3aad7b7a8df72eb0ba2c85308704652bb13f3bf6b2275af27e2","target":"record","created_at":"2026-05-18T00:07:22Z","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":"f757518d79ad65af4f7f4ac7e41289c5a94109c2b1b1a721c97e41a235078276","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-24T03:17:17Z","title_canon_sha256":"977377f8ceff1517f8d818753b132254c0e68cdb72dd754e476e393cdd0a676f"},"schema_version":"1.0","source":{"id":"1808.07993","kind":"arxiv","version":1}},"canonical_sha256":"49ef6a0b1d49a38156d091674b6496a6709f6a8d3dbef684498d9c3ee2309d59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49ef6a0b1d49a38156d091674b6496a6709f6a8d3dbef684498d9c3ee2309d59","first_computed_at":"2026-05-18T00:07:22.817443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:22.817443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kliHISqmZo2d7+X7Fv9XOqlroKYLwXSShnyWdgyAXVCenqAzUzqxYMbrSqnxqpTYmn/8iUya8dVuOyxtn6FhDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:22.817961Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.07993","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b77753a199ca3aad7b7a8df72eb0ba2c85308704652bb13f3bf6b2275af27e2","sha256:71cdc0a858d1ea922a9bf68ffe84257a444084bcdd4b62373b540acf74e2fdd4"],"state_sha256":"c5f6afa02dbc7deaa25e5e68c6a1a371411e081cf7aa9fa31a8fe03b8cb78f57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kbqIHAC3dPwUavRVDwce0vctW876Hud3al8ifqfB0viCjNrMP4kavxT/4ejfEsC+PPb1WJoA0T5eOsXzGErGAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T14:59:15.815002Z","bundle_sha256":"26c166290e82cdb8debe6dcdf947dd99ce803a70aec02a36658f0b95f9e0c70e"}}