{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YBQENQRDM5GK34VPONBNO3BSIT","short_pith_number":"pith:YBQENQRD","canonical_record":{"source":{"id":"1705.02950","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-08T16:16:28Z","cross_cats_sorted":[],"title_canon_sha256":"0d2760752d17c9fe4c046658262938c91cf02098bb13ccc380006081a67fd555","abstract_canon_sha256":"59969cc93a1fb9dcf8ce5e5498ec3536208dd07f670b6ac1d1e9dd60aa8ef0d8"},"schema_version":"1.0"},"canonical_sha256":"c06046c223674cadf2af7342d76c3244d227284dfad32caf511da14da4ae3d8b","source":{"kind":"arxiv","id":"1705.02950","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02950","created_at":"2026-05-18T00:44:50Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02950v2","created_at":"2026-05-18T00:44:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02950","created_at":"2026-05-18T00:44:50Z"},{"alias_kind":"pith_short_12","alias_value":"YBQENQRDM5GK","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YBQENQRDM5GK34VP","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YBQENQRD","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YBQENQRDM5GK34VPONBNO3BSIT","target":"record","payload":{"canonical_record":{"source":{"id":"1705.02950","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-08T16:16:28Z","cross_cats_sorted":[],"title_canon_sha256":"0d2760752d17c9fe4c046658262938c91cf02098bb13ccc380006081a67fd555","abstract_canon_sha256":"59969cc93a1fb9dcf8ce5e5498ec3536208dd07f670b6ac1d1e9dd60aa8ef0d8"},"schema_version":"1.0"},"canonical_sha256":"c06046c223674cadf2af7342d76c3244d227284dfad32caf511da14da4ae3d8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:50.920039Z","signature_b64":"n0kk0SwOXc41PfK5lRFsc0VRDex9hM10xsw4XUzGcNWesTSZb1pluz3myRfthIHlRwk4X5LhzfjXdjiFiPLpCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c06046c223674cadf2af7342d76c3244d227284dfad32caf511da14da4ae3d8b","last_reissued_at":"2026-05-18T00:44:50.919437Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:50.919437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.02950","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:44:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+0UHL3v7Yd1iNblNvyFJFmKFXBUNttmye+I3zFrFfQhDv3ftpLe7tCdHIx7ggsqOFTUkITQ+g+BrzhqiGuUCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:39:42.297228Z"},"content_sha256":"331999cbef9733751a48999c6e477bac80b32272fea290f322de7356c74bb83b","schema_version":"1.0","event_id":"sha256:331999cbef9733751a48999c6e477bac80b32272fea290f322de7356c74bb83b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YBQENQRDM5GK34VPONBNO3BSIT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning non-maximum suppression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bernt Schiele, Jan Hosang, Rodrigo Benenson","submitted_at":"2017-05-08T16:16:28Z","abstract_excerpt":"Object detectors have hugely profited from moving towards an end-to-end learning paradigm: proposals, features, and the classifier becoming one neural network improved results two-fold on general object detection. One indispensable component is non-maximum suppression (NMS), a post-processing algorithm responsible for merging all detections that belong to the same object. The de facto standard NMS algorithm is still fully hand-crafted, suspiciously simple, and -- being based on greedy clustering with a fixed distance threshold -- forces a trade-off between recall and precision. We propose a ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02950","kind":"arxiv","version":2},"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":"2026-05-18T00:44:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PDQ8o9B0P8hcYaJ+gE5HHEWTQdzwQweY/G8qXvWuFE42NQnXQ6rKgUgUS5abCpy5X+a4IE8/sMUKP4A69PbaAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:39:42.297674Z"},"content_sha256":"2272ed7f598518a0fef580635de13d1641b4e87bbb8961b411ebfe79e7cdd101","schema_version":"1.0","event_id":"sha256:2272ed7f598518a0fef580635de13d1641b4e87bbb8961b411ebfe79e7cdd101"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YBQENQRDM5GK34VPONBNO3BSIT/bundle.json","state_url":"https://pith.science/pith/YBQENQRDM5GK34VPONBNO3BSIT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YBQENQRDM5GK34VPONBNO3BSIT/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":"2026-08-09T08:39:42Z","links":{"resolver":"https://pith.science/pith/YBQENQRDM5GK34VPONBNO3BSIT","bundle":"https://pith.science/pith/YBQENQRDM5GK34VPONBNO3BSIT/bundle.json","state":"https://pith.science/pith/YBQENQRDM5GK34VPONBNO3BSIT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YBQENQRDM5GK34VPONBNO3BSIT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YBQENQRDM5GK34VPONBNO3BSIT","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":"59969cc93a1fb9dcf8ce5e5498ec3536208dd07f670b6ac1d1e9dd60aa8ef0d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-08T16:16:28Z","title_canon_sha256":"0d2760752d17c9fe4c046658262938c91cf02098bb13ccc380006081a67fd555"},"schema_version":"1.0","source":{"id":"1705.02950","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02950","created_at":"2026-05-18T00:44:50Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02950v2","created_at":"2026-05-18T00:44:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02950","created_at":"2026-05-18T00:44:50Z"},{"alias_kind":"pith_short_12","alias_value":"YBQENQRDM5GK","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YBQENQRDM5GK34VP","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YBQENQRD","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:2272ed7f598518a0fef580635de13d1641b4e87bbb8961b411ebfe79e7cdd101","target":"graph","created_at":"2026-05-18T00:44:50Z","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":"Object detectors have hugely profited from moving towards an end-to-end learning paradigm: proposals, features, and the classifier becoming one neural network improved results two-fold on general object detection. One indispensable component is non-maximum suppression (NMS), a post-processing algorithm responsible for merging all detections that belong to the same object. The de facto standard NMS algorithm is still fully hand-crafted, suspiciously simple, and -- being based on greedy clustering with a fixed distance threshold -- forces a trade-off between recall and precision. We propose a ne","authors_text":"Bernt Schiele, Jan Hosang, Rodrigo Benenson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-08T16:16:28Z","title":"Learning non-maximum suppression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02950","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":"sha256:331999cbef9733751a48999c6e477bac80b32272fea290f322de7356c74bb83b","target":"record","created_at":"2026-05-18T00:44:50Z","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":"59969cc93a1fb9dcf8ce5e5498ec3536208dd07f670b6ac1d1e9dd60aa8ef0d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-08T16:16:28Z","title_canon_sha256":"0d2760752d17c9fe4c046658262938c91cf02098bb13ccc380006081a67fd555"},"schema_version":"1.0","source":{"id":"1705.02950","kind":"arxiv","version":2}},"canonical_sha256":"c06046c223674cadf2af7342d76c3244d227284dfad32caf511da14da4ae3d8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c06046c223674cadf2af7342d76c3244d227284dfad32caf511da14da4ae3d8b","first_computed_at":"2026-05-18T00:44:50.919437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:50.919437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n0kk0SwOXc41PfK5lRFsc0VRDex9hM10xsw4XUzGcNWesTSZb1pluz3myRfthIHlRwk4X5LhzfjXdjiFiPLpCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:50.920039Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.02950","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:331999cbef9733751a48999c6e477bac80b32272fea290f322de7356c74bb83b","sha256:2272ed7f598518a0fef580635de13d1641b4e87bbb8961b411ebfe79e7cdd101"],"state_sha256":"576fe0255abb8efb630a42c51254540508237627dd3bab3a49eb563953ee5b5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m1bwcK1Z2xm/D5lHTWfsLOP+gMUsDScdgx7Sx97uZrTX/v1A58X4PpFe+9hNjTTyqPSC7vaYNo5eIIfHJsPbDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T08:39:42.301189Z","bundle_sha256":"48b20c685b71591ac39a6a0390be32108278089663996b1755b90c315496ef6e"}}