{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OIQVYQV5LWNWSLTT44WONBXNYY","short_pith_number":"pith:OIQVYQV5","canonical_record":{"source":{"id":"1802.05316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-02-14T20:48:28Z","cross_cats_sorted":[],"title_canon_sha256":"a53eba840ed9b944addf052370be741b8372dea0226644389bb895ac818224cc","abstract_canon_sha256":"16f72d54fa8618d67f423005289bef3ae9854ff20129fb3d252ba47c3c59806a"},"schema_version":"1.0"},"canonical_sha256":"72215c42bd5d9b692e73e72ce686edc61aae7d9f471c0266dd229862242c888d","source":{"kind":"arxiv","id":"1802.05316","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.05316","created_at":"2026-05-18T00:23:16Z"},{"alias_kind":"arxiv_version","alias_value":"1802.05316v1","created_at":"2026-05-18T00:23:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05316","created_at":"2026-05-18T00:23:16Z"},{"alias_kind":"pith_short_12","alias_value":"OIQVYQV5LWNW","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OIQVYQV5LWNWSLTT","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OIQVYQV5","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OIQVYQV5LWNWSLTT44WONBXNYY","target":"record","payload":{"canonical_record":{"source":{"id":"1802.05316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-02-14T20:48:28Z","cross_cats_sorted":[],"title_canon_sha256":"a53eba840ed9b944addf052370be741b8372dea0226644389bb895ac818224cc","abstract_canon_sha256":"16f72d54fa8618d67f423005289bef3ae9854ff20129fb3d252ba47c3c59806a"},"schema_version":"1.0"},"canonical_sha256":"72215c42bd5d9b692e73e72ce686edc61aae7d9f471c0266dd229862242c888d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:16.003045Z","signature_b64":"C070tuwdxitCpxcUTyFMHjnw1oueVcxHlV7PlSbi0wrt+u4A7yqKUUp2z03l/X3dG0GdMbdgKVl2h9JaIV6DCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72215c42bd5d9b692e73e72ce686edc61aae7d9f471c0266dd229862242c888d","last_reissued_at":"2026-05-18T00:23:16.002359Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:16.002359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.05316","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":"2026-05-18T00:23:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y4yh8hmUxkf+5tE2R28jSijqP0+GHDno37ba7Xd9feTau2OIuWefFk+/yWV2Hi2UadlwJSaoktj6ku3p1Ze0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T10:07:58.824845Z"},"content_sha256":"3c9397c3df57adfbf757f239d0e17896f91c09a1c8a9069f71d18faf551fb803","schema_version":"1.0","event_id":"sha256:3c9397c3df57adfbf757f239d0e17896f91c09a1c8a9069f71d18faf551fb803"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OIQVYQV5LWNWSLTT44WONBXNYY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Art\\\"em Yankov, Courtney D Corley, Meg Pirrung, Nancy O'Brien, Nathan Hilliard, Nathan O Hodas, Paul Weidert","submitted_at":"2018-02-14T20:48:28Z","abstract_excerpt":"Sharkzor is a web application for machine-learning assisted image sort and summary. Deep learning algorithms are leveraged to infer, augment, and automate the user's mental model. Initially, images uploaded by the user are spread out on a canvas. The user then interacts with the images to impute their mental model into the application's algorithmic underpinnings. Methods of interaction within Sharkzor's user interface and user experience support three primary user tasks; triage, organize and automate. The user triages the large pile of overlapping images by moving images of interest into proxi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05316","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":"2026-05-18T00:23:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pYqHV6vgCOp/8LnMVE2x13BVp2nOxTVVeBgrSlSy4PyquouVqS01DonkDEbWC6SnZb8c/JQ0PRUgJexQ0yUuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T10:07:58.825494Z"},"content_sha256":"c9429029a213038bb163d2458ad44794b90e71125fa4a94c5664542958821476","schema_version":"1.0","event_id":"sha256:c9429029a213038bb163d2458ad44794b90e71125fa4a94c5664542958821476"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OIQVYQV5LWNWSLTT44WONBXNYY/bundle.json","state_url":"https://pith.science/pith/OIQVYQV5LWNWSLTT44WONBXNYY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OIQVYQV5LWNWSLTT44WONBXNYY/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":"2026-06-09T10:07:58Z","links":{"resolver":"https://pith.science/pith/OIQVYQV5LWNWSLTT44WONBXNYY","bundle":"https://pith.science/pith/OIQVYQV5LWNWSLTT44WONBXNYY/bundle.json","state":"https://pith.science/pith/OIQVYQV5LWNWSLTT44WONBXNYY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OIQVYQV5LWNWSLTT44WONBXNYY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OIQVYQV5LWNWSLTT44WONBXNYY","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":"16f72d54fa8618d67f423005289bef3ae9854ff20129fb3d252ba47c3c59806a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-02-14T20:48:28Z","title_canon_sha256":"a53eba840ed9b944addf052370be741b8372dea0226644389bb895ac818224cc"},"schema_version":"1.0","source":{"id":"1802.05316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.05316","created_at":"2026-05-18T00:23:16Z"},{"alias_kind":"arxiv_version","alias_value":"1802.05316v1","created_at":"2026-05-18T00:23:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05316","created_at":"2026-05-18T00:23:16Z"},{"alias_kind":"pith_short_12","alias_value":"OIQVYQV5LWNW","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OIQVYQV5LWNWSLTT","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OIQVYQV5","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:c9429029a213038bb163d2458ad44794b90e71125fa4a94c5664542958821476","target":"graph","created_at":"2026-05-18T00:23:16Z","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":"Sharkzor is a web application for machine-learning assisted image sort and summary. Deep learning algorithms are leveraged to infer, augment, and automate the user's mental model. Initially, images uploaded by the user are spread out on a canvas. The user then interacts with the images to impute their mental model into the application's algorithmic underpinnings. Methods of interaction within Sharkzor's user interface and user experience support three primary user tasks; triage, organize and automate. The user triages the large pile of overlapping images by moving images of interest into proxi","authors_text":"Art\\\"em Yankov, Courtney D Corley, Meg Pirrung, Nancy O'Brien, Nathan Hilliard, Nathan O Hodas, Paul Weidert","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-02-14T20:48:28Z","title":"Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05316","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":"sha256:3c9397c3df57adfbf757f239d0e17896f91c09a1c8a9069f71d18faf551fb803","target":"record","created_at":"2026-05-18T00:23:16Z","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":"16f72d54fa8618d67f423005289bef3ae9854ff20129fb3d252ba47c3c59806a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-02-14T20:48:28Z","title_canon_sha256":"a53eba840ed9b944addf052370be741b8372dea0226644389bb895ac818224cc"},"schema_version":"1.0","source":{"id":"1802.05316","kind":"arxiv","version":1}},"canonical_sha256":"72215c42bd5d9b692e73e72ce686edc61aae7d9f471c0266dd229862242c888d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72215c42bd5d9b692e73e72ce686edc61aae7d9f471c0266dd229862242c888d","first_computed_at":"2026-05-18T00:23:16.002359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:16.002359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C070tuwdxitCpxcUTyFMHjnw1oueVcxHlV7PlSbi0wrt+u4A7yqKUUp2z03l/X3dG0GdMbdgKVl2h9JaIV6DCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:16.003045Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.05316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c9397c3df57adfbf757f239d0e17896f91c09a1c8a9069f71d18faf551fb803","sha256:c9429029a213038bb163d2458ad44794b90e71125fa4a94c5664542958821476"],"state_sha256":"8878624d7494e74840f797abb05279c53ed44370f17a698c120f31f8f0fd24fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jND/+NhaKiXuCghYbKuiRNnqpQP4pAKZBzK4o/mBo0oOd0vAqXjonMRI3TO1uKv1u+hj8xEjrSK/A/l6saFODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T10:07:58.829377Z","bundle_sha256":"b07e7a5e6cc3506f01a5cab2fc9cd43fe0873e8e04100cb779ef9034de6fdb3e"}}