{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:IM2BKSNQ3KY3X7ZECQVQWYXAKE","short_pith_number":"pith:IM2BKSNQ","canonical_record":{"source":{"id":"1409.6155","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T12:42:08Z","cross_cats_sorted":[],"title_canon_sha256":"da2a32faec170653c0335744dcb78da829bcd26c30c3a9a16caf3064894c70f8","abstract_canon_sha256":"ddcd82803f6bb74a79b7a322f698286e82ffa09a4e4ff440c38317f055467fac"},"schema_version":"1.0"},"canonical_sha256":"43341549b0dab1bbff24142b0b62e0510d476b74ce2e12105953382a40df18d8","source":{"kind":"arxiv","id":"1409.6155","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.6155","created_at":"2026-05-18T02:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"1409.6155v3","created_at":"2026-05-18T02:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.6155","created_at":"2026-05-18T02:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"IM2BKSNQ3KY3","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"IM2BKSNQ3KY3X7ZE","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"IM2BKSNQ","created_at":"2026-05-18T12:28:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:IM2BKSNQ3KY3X7ZECQVQWYXAKE","target":"record","payload":{"canonical_record":{"source":{"id":"1409.6155","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T12:42:08Z","cross_cats_sorted":[],"title_canon_sha256":"da2a32faec170653c0335744dcb78da829bcd26c30c3a9a16caf3064894c70f8","abstract_canon_sha256":"ddcd82803f6bb74a79b7a322f698286e82ffa09a4e4ff440c38317f055467fac"},"schema_version":"1.0"},"canonical_sha256":"43341549b0dab1bbff24142b0b62e0510d476b74ce2e12105953382a40df18d8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:41:03.206202Z","signature_b64":"HpNngCE9SdLtQpeYtr9oyR4ivcSej32CAzh10SY0clSOtBawjzcWTlAaSebIYv5o2tCQ8FQ0efIyuOnZQ2kbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43341549b0dab1bbff24142b0b62e0510d476b74ce2e12105953382a40df18d8","last_reissued_at":"2026-05-18T02:41:03.205705Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:41:03.205705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1409.6155","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wGSl6OfruazSJyveguXjINm+1lMLTWDTe4jtRe8C+2lgbh+J571iRGDkVELyZmNtfXttnWH4xRVQuq8AI8ywAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T15:31:27.799410Z"},"content_sha256":"859afe45e2f3a5d33b177654a9213d106080c65a94ac20d03dab6f2d9b68ea4d","schema_version":"1.0","event_id":"sha256:859afe45e2f3a5d33b177654a9213d106080c65a94ac20d03dab6f2d9b68ea4d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:IM2BKSNQ3KY3X7ZECQVQWYXAKE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"1-HKUST: Object Detection in ILSVRC 2014","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cewu Lu, Chi-Keung Tang, Hao Chen, Hei Law, Qifeng Chen, Yao Xiao","submitted_at":"2014-09-22T12:42:08Z","abstract_excerpt":"The Imagenet Large Scale Visual Recognition Challenge (ILSVRC) is the one of the most important big data challenges to date. We participated in the object detection track of ILSVRC 2014 and received the fourth place among the 38 teams. We introduce in our object detection system a number of novel techniques in localization and recognition. For localization, initial candidate proposals are generated using selective search, and a novel bounding boxes regression method is used for better object localization. For recognition, to represent a candidate proposal, we adopt three features, namely, RCNN"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.6155","kind":"arxiv","version":3},"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":"2026-05-18T02:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1CVdH+Xzge4N4ZBxoJSAxV2x8gyUrj2tuEUHVboLAkX8RxfA/cZ1mKEQVoKp/ocyjEVJfnfs4mw7XaVg3PDiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T15:31:27.800057Z"},"content_sha256":"d62bd7e5f78ffd771defc3f66b9ef64ba6c14533b18c3619e9440097afbae9f5","schema_version":"1.0","event_id":"sha256:d62bd7e5f78ffd771defc3f66b9ef64ba6c14533b18c3619e9440097afbae9f5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE/bundle.json","state_url":"https://pith.science/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE/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":"2026-05-28T15:31:27Z","links":{"resolver":"https://pith.science/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE","bundle":"https://pith.science/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE/bundle.json","state":"https://pith.science/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IM2BKSNQ3KY3X7ZECQVQWYXAKE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:IM2BKSNQ3KY3X7ZECQVQWYXAKE","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":"ddcd82803f6bb74a79b7a322f698286e82ffa09a4e4ff440c38317f055467fac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T12:42:08Z","title_canon_sha256":"da2a32faec170653c0335744dcb78da829bcd26c30c3a9a16caf3064894c70f8"},"schema_version":"1.0","source":{"id":"1409.6155","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.6155","created_at":"2026-05-18T02:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"1409.6155v3","created_at":"2026-05-18T02:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.6155","created_at":"2026-05-18T02:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"IM2BKSNQ3KY3","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"IM2BKSNQ3KY3X7ZE","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"IM2BKSNQ","created_at":"2026-05-18T12:28:33Z"}],"graph_snapshots":[{"event_id":"sha256:d62bd7e5f78ffd771defc3f66b9ef64ba6c14533b18c3619e9440097afbae9f5","target":"graph","created_at":"2026-05-18T02:41:03Z","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":"The Imagenet Large Scale Visual Recognition Challenge (ILSVRC) is the one of the most important big data challenges to date. We participated in the object detection track of ILSVRC 2014 and received the fourth place among the 38 teams. We introduce in our object detection system a number of novel techniques in localization and recognition. For localization, initial candidate proposals are generated using selective search, and a novel bounding boxes regression method is used for better object localization. For recognition, to represent a candidate proposal, we adopt three features, namely, RCNN","authors_text":"Cewu Lu, Chi-Keung Tang, Hao Chen, Hei Law, Qifeng Chen, Yao Xiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T12:42:08Z","title":"1-HKUST: Object Detection in ILSVRC 2014"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.6155","kind":"arxiv","version":3},"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":"sha256:859afe45e2f3a5d33b177654a9213d106080c65a94ac20d03dab6f2d9b68ea4d","target":"record","created_at":"2026-05-18T02:41:03Z","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":"ddcd82803f6bb74a79b7a322f698286e82ffa09a4e4ff440c38317f055467fac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T12:42:08Z","title_canon_sha256":"da2a32faec170653c0335744dcb78da829bcd26c30c3a9a16caf3064894c70f8"},"schema_version":"1.0","source":{"id":"1409.6155","kind":"arxiv","version":3}},"canonical_sha256":"43341549b0dab1bbff24142b0b62e0510d476b74ce2e12105953382a40df18d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43341549b0dab1bbff24142b0b62e0510d476b74ce2e12105953382a40df18d8","first_computed_at":"2026-05-18T02:41:03.205705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:03.205705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HpNngCE9SdLtQpeYtr9oyR4ivcSej32CAzh10SY0clSOtBawjzcWTlAaSebIYv5o2tCQ8FQ0efIyuOnZQ2kbBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:03.206202Z","signed_message":"canonical_sha256_bytes"},"source_id":"1409.6155","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:859afe45e2f3a5d33b177654a9213d106080c65a94ac20d03dab6f2d9b68ea4d","sha256:d62bd7e5f78ffd771defc3f66b9ef64ba6c14533b18c3619e9440097afbae9f5"],"state_sha256":"3cfcdfdbfe9fc5ac3ca768ea613db66822e4b0c8585dba2d52e47b25b9363a9d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZJ2pABBSxILZVmWPLt3z2So6UHKiEQM1fpXjclFqHPE8p4ngKFVY7TAEsOikDl69R9v1eUplfRYMU/hyTgkICA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T15:31:27.802330Z","bundle_sha256":"ab049417ef43baeb8c1f1b2ab44d420f8521ce06e3c6668df6e893a93829b3c6"}}