{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:SREBBGQLWNLT4DCJ5VNF4A7C6H","short_pith_number":"pith:SREBBGQL","canonical_record":{"source":{"id":"1812.00440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-02T18:18:22Z","cross_cats_sorted":[],"title_canon_sha256":"6868f81bd27c3d9f4c7dd2417d998f1e125a7cbe354eb1be5885217d95b46e07","abstract_canon_sha256":"7d1320acf469357138923d1b816493c1379f7f91872371c7a25a23eb63630ff1"},"schema_version":"1.0"},"canonical_sha256":"9448109a0bb3573e0c49ed5a5e03e2f1f6aba9ce1e40b5db502c1d3ac1fc926f","source":{"kind":"arxiv","id":"1812.00440","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.00440","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"1812.00440v1","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.00440","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"SREBBGQLWNLT","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SREBBGQLWNLT4DCJ","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SREBBGQL","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:SREBBGQLWNLT4DCJ5VNF4A7C6H","target":"record","payload":{"canonical_record":{"source":{"id":"1812.00440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-02T18:18:22Z","cross_cats_sorted":[],"title_canon_sha256":"6868f81bd27c3d9f4c7dd2417d998f1e125a7cbe354eb1be5885217d95b46e07","abstract_canon_sha256":"7d1320acf469357138923d1b816493c1379f7f91872371c7a25a23eb63630ff1"},"schema_version":"1.0"},"canonical_sha256":"9448109a0bb3573e0c49ed5a5e03e2f1f6aba9ce1e40b5db502c1d3ac1fc926f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:21.333814Z","signature_b64":"PFgAvGL3kbzU7dPoNj3W5CNfb3shT6ial2BvscHp6zMLYKw6agltGezB1eY2StSE8PVTUWgNTyUD4ZY1MGL5Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9448109a0bb3573e0c49ed5a5e03e2f1f6aba9ce1e40b5db502c1d3ac1fc926f","last_reissued_at":"2026-05-17T23:59:21.333257Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:21.333257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.00440","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":"2026-05-17T23:59:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FSbqsOlC4LW13UIUyOoL1Snsae9r+THRTokCGBOVF5b846KsvrXptxduxNXDX1Ltb2H3CeAIYaLitBkNPXr/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:31:44.006927Z"},"content_sha256":"31906192e1e1d6aa86366cf61bf2d6bc2375b3f3918b3e7870ce258ac92f8f1d","schema_version":"1.0","event_id":"sha256:31906192e1e1d6aa86366cf61bf2d6bc2375b3f3918b3e7870ce258ac92f8f1d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:SREBBGQLWNLT4DCJ5VNF4A7C6H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pedestrian Detection with Autoregressive Network Phases","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Garrick Brazil, Xiaoming Liu","submitted_at":"2018-12-02T18:18:22Z","abstract_excerpt":"We present an autoregressive pedestrian detection framework with cascaded phases designed to progressively improve precision. The proposed framework utilizes a novel lightweight stackable decoder-encoder module which uses convolutional re-sampling layers to improve features while maintaining efficient memory and runtime cost. Unlike previous cascaded detection systems, our proposed framework is designed within a region proposal network and thus retains greater context of nearby detections compared to independently processed RoI systems. We explicitly encourage increasing levels of precision by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.00440","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":"2026-05-17T23:59:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"spRvotvpd7E389+UJPIf3VUOcojRxePicbcD2L/hdaO/IY1lzDEvrsMHoNrtZIE0QItN4zHq1x4rWgvqgtZZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:31:44.007595Z"},"content_sha256":"5efc97cde84c6f030278f8feaa70bac4873d40e8936872a741e314983ece78f6","schema_version":"1.0","event_id":"sha256:5efc97cde84c6f030278f8feaa70bac4873d40e8936872a741e314983ece78f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H/bundle.json","state_url":"https://pith.science/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H/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":"2026-05-26T08:31:44Z","links":{"resolver":"https://pith.science/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H","bundle":"https://pith.science/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H/bundle.json","state":"https://pith.science/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SREBBGQLWNLT4DCJ5VNF4A7C6H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SREBBGQLWNLT4DCJ5VNF4A7C6H","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":"7d1320acf469357138923d1b816493c1379f7f91872371c7a25a23eb63630ff1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-02T18:18:22Z","title_canon_sha256":"6868f81bd27c3d9f4c7dd2417d998f1e125a7cbe354eb1be5885217d95b46e07"},"schema_version":"1.0","source":{"id":"1812.00440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.00440","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"1812.00440v1","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.00440","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"SREBBGQLWNLT","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SREBBGQLWNLT4DCJ","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SREBBGQL","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:5efc97cde84c6f030278f8feaa70bac4873d40e8936872a741e314983ece78f6","target":"graph","created_at":"2026-05-17T23:59:21Z","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":"We present an autoregressive pedestrian detection framework with cascaded phases designed to progressively improve precision. The proposed framework utilizes a novel lightweight stackable decoder-encoder module which uses convolutional re-sampling layers to improve features while maintaining efficient memory and runtime cost. Unlike previous cascaded detection systems, our proposed framework is designed within a region proposal network and thus retains greater context of nearby detections compared to independently processed RoI systems. We explicitly encourage increasing levels of precision by","authors_text":"Garrick Brazil, Xiaoming Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-02T18:18:22Z","title":"Pedestrian Detection with Autoregressive Network Phases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.00440","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":"sha256:31906192e1e1d6aa86366cf61bf2d6bc2375b3f3918b3e7870ce258ac92f8f1d","target":"record","created_at":"2026-05-17T23:59:21Z","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":"7d1320acf469357138923d1b816493c1379f7f91872371c7a25a23eb63630ff1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-02T18:18:22Z","title_canon_sha256":"6868f81bd27c3d9f4c7dd2417d998f1e125a7cbe354eb1be5885217d95b46e07"},"schema_version":"1.0","source":{"id":"1812.00440","kind":"arxiv","version":1}},"canonical_sha256":"9448109a0bb3573e0c49ed5a5e03e2f1f6aba9ce1e40b5db502c1d3ac1fc926f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9448109a0bb3573e0c49ed5a5e03e2f1f6aba9ce1e40b5db502c1d3ac1fc926f","first_computed_at":"2026-05-17T23:59:21.333257Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:21.333257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PFgAvGL3kbzU7dPoNj3W5CNfb3shT6ial2BvscHp6zMLYKw6agltGezB1eY2StSE8PVTUWgNTyUD4ZY1MGL5Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:21.333814Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.00440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31906192e1e1d6aa86366cf61bf2d6bc2375b3f3918b3e7870ce258ac92f8f1d","sha256:5efc97cde84c6f030278f8feaa70bac4873d40e8936872a741e314983ece78f6"],"state_sha256":"f2e7f7ce6e875d898e6e69d5d093482099bf88d2e8953d885dac43616fd241c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gf3hymt1mikT32btQVBaksdKPwv4GpS45UwxHSvXGqr1zPAvGhVHZ/0SLkQ1HiRGc5fa1dqSjjmsk3gVHmq7Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T08:31:44.011043Z","bundle_sha256":"75148f082efdd5e71e02f1fd424f546738a7a49c28da2a45d8f4a8f18292bcb0"}}