{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:6XJAANAOCF2N77FG26DHFZN5AF","short_pith_number":"pith:6XJAANAO","canonical_record":{"source":{"id":"1904.02805","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T22:03:53Z","cross_cats_sorted":["cs.HC","cs.RO"],"title_canon_sha256":"610dee7197078f032413c9c5f96fa18ab50becda91a40d8527a1310c9b012465","abstract_canon_sha256":"eb631f83efc8dd4c985273f3830e5879d76b9aa59348370635af2f5145fb8969"},"schema_version":"1.0"},"canonical_sha256":"f5d200340e1174dffca6d78672e5bd016d7eb6019ae69633d9ef9cfd54b156a7","source":{"kind":"arxiv","id":"1904.02805","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02805","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02805v1","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02805","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"pith_short_12","alias_value":"6XJAANAOCF2N","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"6XJAANAOCF2N77FG","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"6XJAANAO","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:6XJAANAOCF2N77FG26DHFZN5AF","target":"record","payload":{"canonical_record":{"source":{"id":"1904.02805","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T22:03:53Z","cross_cats_sorted":["cs.HC","cs.RO"],"title_canon_sha256":"610dee7197078f032413c9c5f96fa18ab50becda91a40d8527a1310c9b012465","abstract_canon_sha256":"eb631f83efc8dd4c985273f3830e5879d76b9aa59348370635af2f5145fb8969"},"schema_version":"1.0"},"canonical_sha256":"f5d200340e1174dffca6d78672e5bd016d7eb6019ae69633d9ef9cfd54b156a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:19.595077Z","signature_b64":"Pj7KzdwWPaGD+BQEoyjTd42ghWnG+/GTpBEcgVGjlujCSN2blK1bHbn39bRew40MNVt1JD8RaFko1TILAY8LDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5d200340e1174dffca6d78672e5bd016d7eb6019ae69633d9ef9cfd54b156a7","last_reissued_at":"2026-05-17T23:49:19.594526Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:19.594526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.02805","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":"2026-05-17T23:49:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oQUO2sSXL5UtmXDlUS5a8GQ8a2CQ5QhLI77XL4nw0a6dtEza/4Ima793Ji5JBjWiKL3YUczVpHXDlSWq+m6rBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T20:00:46.981800Z"},"content_sha256":"2555b04bf08a5cf00df8e373e73d0b764d2167a1742576f28103709071d37adb","schema_version":"1.0","event_id":"sha256:2555b04bf08a5cf00df8e373e73d0b764d2167a1742576f28103709071d37adb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:6XJAANAOCF2N77FG26DHFZN5AF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Assessment of Faster R-CNN in Man-Machine collaborative search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.RO"],"primary_cat":"cs.CV","authors_text":"Amit Surana, Arturo Deza, Miguel P. Eckstein","submitted_at":"2019-04-04T22:03:53Z","abstract_excerpt":"With the advent of modern expert systems driven by deep learning that supplement human experts (e.g. radiologists, dermatologists, surveillance scanners), we analyze how and when do such expert systems enhance human performance in a fine-grained small target visual search task. We set up a 2 session factorial experimental design in which humans visually search for a target with and without a Deep Learning (DL) expert system. We evaluate human changes of target detection performance and eye-movements in the presence of the DL system. We find that performance improvements with the DL system (com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02805","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":"2026-05-17T23:49:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kU5YLQDKSe0pm+/cKAis0wleVMtutsaySHO158BoN1iAmnTyavNIl8yekgAN96F81p6GK6xgOncQS4WlOcAUDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T20:00:46.982149Z"},"content_sha256":"3c25b9c628b46265c840868de3ecafd7806fe54548e822a56433ffbb1a594882","schema_version":"1.0","event_id":"sha256:3c25b9c628b46265c840868de3ecafd7806fe54548e822a56433ffbb1a594882"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6XJAANAOCF2N77FG26DHFZN5AF/bundle.json","state_url":"https://pith.science/pith/6XJAANAOCF2N77FG26DHFZN5AF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6XJAANAOCF2N77FG26DHFZN5AF/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":"2026-07-04T20:00:46Z","links":{"resolver":"https://pith.science/pith/6XJAANAOCF2N77FG26DHFZN5AF","bundle":"https://pith.science/pith/6XJAANAOCF2N77FG26DHFZN5AF/bundle.json","state":"https://pith.science/pith/6XJAANAOCF2N77FG26DHFZN5AF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6XJAANAOCF2N77FG26DHFZN5AF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:6XJAANAOCF2N77FG26DHFZN5AF","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":"eb631f83efc8dd4c985273f3830e5879d76b9aa59348370635af2f5145fb8969","cross_cats_sorted":["cs.HC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T22:03:53Z","title_canon_sha256":"610dee7197078f032413c9c5f96fa18ab50becda91a40d8527a1310c9b012465"},"schema_version":"1.0","source":{"id":"1904.02805","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02805","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02805v1","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02805","created_at":"2026-05-17T23:49:19Z"},{"alias_kind":"pith_short_12","alias_value":"6XJAANAOCF2N","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"6XJAANAOCF2N77FG","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"6XJAANAO","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:3c25b9c628b46265c840868de3ecafd7806fe54548e822a56433ffbb1a594882","target":"graph","created_at":"2026-05-17T23:49:19Z","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":"With the advent of modern expert systems driven by deep learning that supplement human experts (e.g. radiologists, dermatologists, surveillance scanners), we analyze how and when do such expert systems enhance human performance in a fine-grained small target visual search task. We set up a 2 session factorial experimental design in which humans visually search for a target with and without a Deep Learning (DL) expert system. We evaluate human changes of target detection performance and eye-movements in the presence of the DL system. We find that performance improvements with the DL system (com","authors_text":"Amit Surana, Arturo Deza, Miguel P. Eckstein","cross_cats":["cs.HC","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T22:03:53Z","title":"Assessment of Faster R-CNN in Man-Machine collaborative search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02805","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":"sha256:2555b04bf08a5cf00df8e373e73d0b764d2167a1742576f28103709071d37adb","target":"record","created_at":"2026-05-17T23:49:19Z","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":"eb631f83efc8dd4c985273f3830e5879d76b9aa59348370635af2f5145fb8969","cross_cats_sorted":["cs.HC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T22:03:53Z","title_canon_sha256":"610dee7197078f032413c9c5f96fa18ab50becda91a40d8527a1310c9b012465"},"schema_version":"1.0","source":{"id":"1904.02805","kind":"arxiv","version":1}},"canonical_sha256":"f5d200340e1174dffca6d78672e5bd016d7eb6019ae69633d9ef9cfd54b156a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5d200340e1174dffca6d78672e5bd016d7eb6019ae69633d9ef9cfd54b156a7","first_computed_at":"2026-05-17T23:49:19.594526Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:19.594526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pj7KzdwWPaGD+BQEoyjTd42ghWnG+/GTpBEcgVGjlujCSN2blK1bHbn39bRew40MNVt1JD8RaFko1TILAY8LDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:19.595077Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.02805","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2555b04bf08a5cf00df8e373e73d0b764d2167a1742576f28103709071d37adb","sha256:3c25b9c628b46265c840868de3ecafd7806fe54548e822a56433ffbb1a594882"],"state_sha256":"c4bcc2ef4f951e38edbcdcad240029a14388934269c215e1a170bcbccddca32a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oDE6H4YbcGpjNHSJ4GJy3Ivrn/FD8j4G0oAepAse+i9SuKg7tT8eWgr+WLr4xm66Z+JyiXjpPEZsrounmdvMCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T20:00:46.984154Z","bundle_sha256":"3a34444433dd1cdf786a0b42cd730b136e44ae358a3da12bceba4ec5734edc89"}}