{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:F3KDT5R4645UUYXNMAIQGAPLM4","short_pith_number":"pith:F3KDT5R4","canonical_record":{"source":{"id":"1407.3686","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T15:03:01Z","cross_cats_sorted":[],"title_canon_sha256":"e705c696ea777eca35fb4fdb2d300c0ed2506c1880bd331faa1abf9b4505c5ed","abstract_canon_sha256":"3f0f5ea1ac12c374d06b62d598467a576c33bd767f1abfe5d546824bb940eef2"},"schema_version":"1.0"},"canonical_sha256":"2ed439f63cf73b4a62ed60110301eb670c57dcecaae038a9cd9250d3203b433a","source":{"kind":"arxiv","id":"1407.3686","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1407.3686","created_at":"2026-05-18T02:47:41Z"},{"alias_kind":"arxiv_version","alias_value":"1407.3686v1","created_at":"2026-05-18T02:47:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.3686","created_at":"2026-05-18T02:47:41Z"},{"alias_kind":"pith_short_12","alias_value":"F3KDT5R4645U","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"F3KDT5R4645UUYXN","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"F3KDT5R4","created_at":"2026-05-18T12:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:F3KDT5R4645UUYXNMAIQGAPLM4","target":"record","payload":{"canonical_record":{"source":{"id":"1407.3686","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T15:03:01Z","cross_cats_sorted":[],"title_canon_sha256":"e705c696ea777eca35fb4fdb2d300c0ed2506c1880bd331faa1abf9b4505c5ed","abstract_canon_sha256":"3f0f5ea1ac12c374d06b62d598467a576c33bd767f1abfe5d546824bb940eef2"},"schema_version":"1.0"},"canonical_sha256":"2ed439f63cf73b4a62ed60110301eb670c57dcecaae038a9cd9250d3203b433a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:47:41.995846Z","signature_b64":"tZY4qQJX0ROwCSfPYPT/tzIjsBi5jtOx6Pnn9pCqE3ORkf1CHf9GLxPqGEhnms9KusDWDK79tdYVnCst5eSlCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ed439f63cf73b4a62ed60110301eb670c57dcecaae038a9cd9250d3203b433a","last_reissued_at":"2026-05-18T02:47:41.995002Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:47:41.995002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1407.3686","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":"2026-05-18T02:47:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b57oXrJh/78/qIW2ri1W0wRKZVBuYkN05OZZWmoLj+K2BLxSQUAuyKB7MI5KxXg30v5/ZjtVPAvPrcoCRrN3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T10:24:36.964175Z"},"content_sha256":"339785e9b1b341ebea443fbaf1bc437c1ea5a67bf174d89d0c45c92f4b977433","schema_version":"1.0","event_id":"sha256:339785e9b1b341ebea443fbaf1bc437c1ea5a67bf174d89d0c45c92f4b977433"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:F3KDT5R4645UUYXNMAIQGAPLM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatiotemporal Stacked Sequential Learning for Pedestrian Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alejandro Gonz\\'alez, Antonio M. L\\'opez, David V\\'azquez, Jaume Amores, Sebastian Ramos","submitted_at":"2014-07-14T15:03:01Z","abstract_excerpt":"Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a frame, the same pedestrian is expected to appear close to the same location in neighbor frames. Therefore, such a location has chances of receiving high classification scores during several frames, while false positives are expected to be more "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.3686","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":"2026-05-18T02:47:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QGog0BT8ZMAVJ0Ly/5d/vfLL2Psf8WGkUzSjJeI4xryk9Pg9cDMULbF9HBK3iOXVwpvXC50K02XNbbeM+d/jBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T10:24:36.964545Z"},"content_sha256":"590410ea19c02617d940d97aa9c2662f94e854eda719d14a4c480b789238d7ce","schema_version":"1.0","event_id":"sha256:590410ea19c02617d940d97aa9c2662f94e854eda719d14a4c480b789238d7ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3KDT5R4645UUYXNMAIQGAPLM4/bundle.json","state_url":"https://pith.science/pith/F3KDT5R4645UUYXNMAIQGAPLM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3KDT5R4645UUYXNMAIQGAPLM4/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":"2026-05-28T10:24:36Z","links":{"resolver":"https://pith.science/pith/F3KDT5R4645UUYXNMAIQGAPLM4","bundle":"https://pith.science/pith/F3KDT5R4645UUYXNMAIQGAPLM4/bundle.json","state":"https://pith.science/pith/F3KDT5R4645UUYXNMAIQGAPLM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3KDT5R4645UUYXNMAIQGAPLM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:F3KDT5R4645UUYXNMAIQGAPLM4","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":"3f0f5ea1ac12c374d06b62d598467a576c33bd767f1abfe5d546824bb940eef2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T15:03:01Z","title_canon_sha256":"e705c696ea777eca35fb4fdb2d300c0ed2506c1880bd331faa1abf9b4505c5ed"},"schema_version":"1.0","source":{"id":"1407.3686","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1407.3686","created_at":"2026-05-18T02:47:41Z"},{"alias_kind":"arxiv_version","alias_value":"1407.3686v1","created_at":"2026-05-18T02:47:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.3686","created_at":"2026-05-18T02:47:41Z"},{"alias_kind":"pith_short_12","alias_value":"F3KDT5R4645U","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"F3KDT5R4645UUYXN","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"F3KDT5R4","created_at":"2026-05-18T12:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:590410ea19c02617d940d97aa9c2662f94e854eda719d14a4c480b789238d7ce","target":"graph","created_at":"2026-05-18T02:47:41Z","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":"Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a frame, the same pedestrian is expected to appear close to the same location in neighbor frames. Therefore, such a location has chances of receiving high classification scores during several frames, while false positives are expected to be more ","authors_text":"Alejandro Gonz\\'alez, Antonio M. L\\'opez, David V\\'azquez, Jaume Amores, Sebastian Ramos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T15:03:01Z","title":"Spatiotemporal Stacked Sequential Learning for Pedestrian Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.3686","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":"sha256:339785e9b1b341ebea443fbaf1bc437c1ea5a67bf174d89d0c45c92f4b977433","target":"record","created_at":"2026-05-18T02:47:41Z","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":"3f0f5ea1ac12c374d06b62d598467a576c33bd767f1abfe5d546824bb940eef2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T15:03:01Z","title_canon_sha256":"e705c696ea777eca35fb4fdb2d300c0ed2506c1880bd331faa1abf9b4505c5ed"},"schema_version":"1.0","source":{"id":"1407.3686","kind":"arxiv","version":1}},"canonical_sha256":"2ed439f63cf73b4a62ed60110301eb670c57dcecaae038a9cd9250d3203b433a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ed439f63cf73b4a62ed60110301eb670c57dcecaae038a9cd9250d3203b433a","first_computed_at":"2026-05-18T02:47:41.995002Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:47:41.995002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tZY4qQJX0ROwCSfPYPT/tzIjsBi5jtOx6Pnn9pCqE3ORkf1CHf9GLxPqGEhnms9KusDWDK79tdYVnCst5eSlCw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:47:41.995846Z","signed_message":"canonical_sha256_bytes"},"source_id":"1407.3686","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:339785e9b1b341ebea443fbaf1bc437c1ea5a67bf174d89d0c45c92f4b977433","sha256:590410ea19c02617d940d97aa9c2662f94e854eda719d14a4c480b789238d7ce"],"state_sha256":"46cb857e7eab8c4e062a8855b20f60e377e7bb16f77ea68f3e072cf63cae4eee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VCxlRmbdLOUEtO3fA3JxmK5MZWW+AL+UOiwUKehjpeXhLslgUUypR06/aKcohhjn6S13ytEL0Mr8gTOw2W/nCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T10:24:36.966487Z","bundle_sha256":"5dec3803c0c780066aad8f94d166c46c12bc392976613af9530afd0183ecb5cd"}}