{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:S2H2F4HUC244OJVDH4FTG4ATUX","short_pith_number":"pith:S2H2F4HU","canonical_record":{"source":{"id":"1412.7957","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-26T16:46:52Z","cross_cats_sorted":[],"title_canon_sha256":"414865b8c5311b2ba92a05cc862409f2b14be801f67df157b7387c8519c2ffe8","abstract_canon_sha256":"21b950e4747e84ec518d6e1ef7d834430c0b715f857ee9ba4e7b7afd2ad041c8"},"schema_version":"1.0"},"canonical_sha256":"968fa2f0f416b9c726a33f0b337013a5effa8dd40ffc0e6e8008e84c5a3a96f9","source":{"kind":"arxiv","id":"1412.7957","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.7957","created_at":"2026-05-18T01:26:25Z"},{"alias_kind":"arxiv_version","alias_value":"1412.7957v1","created_at":"2026-05-18T01:26:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.7957","created_at":"2026-05-18T01:26:25Z"},{"alias_kind":"pith_short_12","alias_value":"S2H2F4HUC244","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"S2H2F4HUC244OJVD","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"S2H2F4HU","created_at":"2026-05-18T12:28:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:S2H2F4HUC244OJVDH4FTG4ATUX","target":"record","payload":{"canonical_record":{"source":{"id":"1412.7957","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-26T16:46:52Z","cross_cats_sorted":[],"title_canon_sha256":"414865b8c5311b2ba92a05cc862409f2b14be801f67df157b7387c8519c2ffe8","abstract_canon_sha256":"21b950e4747e84ec518d6e1ef7d834430c0b715f857ee9ba4e7b7afd2ad041c8"},"schema_version":"1.0"},"canonical_sha256":"968fa2f0f416b9c726a33f0b337013a5effa8dd40ffc0e6e8008e84c5a3a96f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:26:25.493477Z","signature_b64":"+XZZ8goJ7JAy3REKvecwQWRcG5W4/7HI8Sch3bDJVRksLMRKQcF3HnLvCmWCGhAosT4h2xvF3Ag15RkSf57GCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"968fa2f0f416b9c726a33f0b337013a5effa8dd40ffc0e6e8008e84c5a3a96f9","last_reissued_at":"2026-05-18T01:26:25.493037Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:26:25.493037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1412.7957","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":"2026-05-18T01:26:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mNUIIEXtqBgzTookbm4pRP1LUPYC92Hwwt/v6JzcE+B8S1cWatofvuCv+VFRPUN6HnGhUe+MOiYgHzkuu8ieDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T20:44:04.420984Z"},"content_sha256":"cf2977bbd281db4fba85d1cd9899d4a3907a38b7387776928972d3456a29e573","schema_version":"1.0","event_id":"sha256:cf2977bbd281db4fba85d1cd9899d4a3907a38b7387776928972d3456a29e573"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:S2H2F4HUC244OJVDH4FTG4ATUX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detect2Rank : Combining Object Detectors Using Learning to Rank","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sezer Karaoglu, Theo Gevers, Yang Liu","submitted_at":"2014-12-26T16:46:52Z","abstract_excerpt":"Object detection is an important research area in the field of computer vision. Many detection algorithms have been proposed. However, each object detector relies on specific assumptions of the object appearance and imaging conditions. As a consequence, no algorithm can be considered as universal. With the large variety of object detectors, the subsequent question is how to select and combine them.\n  In this paper, we propose a framework to learn how to combine object detectors. The proposed method uses (single) detectors like DPM, CN and EES, and exploits their correlation by high level conte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.7957","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":"2026-05-18T01:26:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c4oo5rvzoBZ5tY4Sx6g2rbvQbGnWVVFjDC+o6smHwNanU4mm/VaLsODMzTtmdLkIQhMLmx7V9y/Q+CMYKSO+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T20:44:04.421683Z"},"content_sha256":"08395a071210790b714d06f0056373d0acffe670aa7bd6294eb6a49775ad7f31","schema_version":"1.0","event_id":"sha256:08395a071210790b714d06f0056373d0acffe670aa7bd6294eb6a49775ad7f31"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S2H2F4HUC244OJVDH4FTG4ATUX/bundle.json","state_url":"https://pith.science/pith/S2H2F4HUC244OJVDH4FTG4ATUX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S2H2F4HUC244OJVDH4FTG4ATUX/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":"2026-06-07T20:44:04Z","links":{"resolver":"https://pith.science/pith/S2H2F4HUC244OJVDH4FTG4ATUX","bundle":"https://pith.science/pith/S2H2F4HUC244OJVDH4FTG4ATUX/bundle.json","state":"https://pith.science/pith/S2H2F4HUC244OJVDH4FTG4ATUX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S2H2F4HUC244OJVDH4FTG4ATUX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:S2H2F4HUC244OJVDH4FTG4ATUX","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":"21b950e4747e84ec518d6e1ef7d834430c0b715f857ee9ba4e7b7afd2ad041c8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-26T16:46:52Z","title_canon_sha256":"414865b8c5311b2ba92a05cc862409f2b14be801f67df157b7387c8519c2ffe8"},"schema_version":"1.0","source":{"id":"1412.7957","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.7957","created_at":"2026-05-18T01:26:25Z"},{"alias_kind":"arxiv_version","alias_value":"1412.7957v1","created_at":"2026-05-18T01:26:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.7957","created_at":"2026-05-18T01:26:25Z"},{"alias_kind":"pith_short_12","alias_value":"S2H2F4HUC244","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"S2H2F4HUC244OJVD","created_at":"2026-05-18T12:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"S2H2F4HU","created_at":"2026-05-18T12:28:46Z"}],"graph_snapshots":[{"event_id":"sha256:08395a071210790b714d06f0056373d0acffe670aa7bd6294eb6a49775ad7f31","target":"graph","created_at":"2026-05-18T01:26:25Z","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 detection is an important research area in the field of computer vision. Many detection algorithms have been proposed. However, each object detector relies on specific assumptions of the object appearance and imaging conditions. As a consequence, no algorithm can be considered as universal. With the large variety of object detectors, the subsequent question is how to select and combine them.\n  In this paper, we propose a framework to learn how to combine object detectors. The proposed method uses (single) detectors like DPM, CN and EES, and exploits their correlation by high level conte","authors_text":"Sezer Karaoglu, Theo Gevers, Yang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-26T16:46:52Z","title":"Detect2Rank : Combining Object Detectors Using Learning to Rank"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.7957","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:cf2977bbd281db4fba85d1cd9899d4a3907a38b7387776928972d3456a29e573","target":"record","created_at":"2026-05-18T01:26:25Z","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":"21b950e4747e84ec518d6e1ef7d834430c0b715f857ee9ba4e7b7afd2ad041c8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-12-26T16:46:52Z","title_canon_sha256":"414865b8c5311b2ba92a05cc862409f2b14be801f67df157b7387c8519c2ffe8"},"schema_version":"1.0","source":{"id":"1412.7957","kind":"arxiv","version":1}},"canonical_sha256":"968fa2f0f416b9c726a33f0b337013a5effa8dd40ffc0e6e8008e84c5a3a96f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"968fa2f0f416b9c726a33f0b337013a5effa8dd40ffc0e6e8008e84c5a3a96f9","first_computed_at":"2026-05-18T01:26:25.493037Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:26:25.493037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+XZZ8goJ7JAy3REKvecwQWRcG5W4/7HI8Sch3bDJVRksLMRKQcF3HnLvCmWCGhAosT4h2xvF3Ag15RkSf57GCg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:26:25.493477Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.7957","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf2977bbd281db4fba85d1cd9899d4a3907a38b7387776928972d3456a29e573","sha256:08395a071210790b714d06f0056373d0acffe670aa7bd6294eb6a49775ad7f31"],"state_sha256":"21675bfecd62c65ce49152820a66376a0a5757997a302cc0d8fde5781f95c018"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6616QyG2TGoATF0e47UxS5SBvRoy8laQNLpG7VS/kGEPuqm/qUf2ZdpUrBvdExX4YN1qzzI0JO0iNr6F+yoxCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T20:44:04.425533Z","bundle_sha256":"1356c83b56a6bf15d18c2d9e5e39dbfe1f5e8ecab86ae3ff46b387d65292c715"}}