{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:O4H2V2LMZBR4WGZL43GGTGCKP6","short_pith_number":"pith:O4H2V2LM","canonical_record":{"source":{"id":"2001.05845","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-29T18:20:07Z","cross_cats_sorted":[],"title_canon_sha256":"71ace91586f5fc968f4de5e71da4423debf0d06c955fd368a042a67d43d57277","abstract_canon_sha256":"f043c21ad18bdd5290e1a6a100ec442062f38a4a6748f0adaf567eebdbb3d902"},"schema_version":"1.0"},"canonical_sha256":"770faae96cc863cb1b2be6cc69984a7f9482783795dfe437fd4138ed9bb700c3","source":{"kind":"arxiv","id":"2001.05845","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.05845","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"arxiv_version","alias_value":"2001.05845v1","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.05845","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_12","alias_value":"O4H2V2LMZBR4","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_16","alias_value":"O4H2V2LMZBR4WGZL","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_8","alias_value":"O4H2V2LM","created_at":"2026-07-05T00:33:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:O4H2V2LMZBR4WGZL43GGTGCKP6","target":"record","payload":{"canonical_record":{"source":{"id":"2001.05845","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-29T18:20:07Z","cross_cats_sorted":[],"title_canon_sha256":"71ace91586f5fc968f4de5e71da4423debf0d06c955fd368a042a67d43d57277","abstract_canon_sha256":"f043c21ad18bdd5290e1a6a100ec442062f38a4a6748f0adaf567eebdbb3d902"},"schema_version":"1.0"},"canonical_sha256":"770faae96cc863cb1b2be6cc69984a7f9482783795dfe437fd4138ed9bb700c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:33:56.378102Z","signature_b64":"rXXRbNrcz12v+qGHHDc+nKf82MMzlCYXUPYhy39wYOi3gKmib/O05CbsJusRAKoHSIBZ6Xbibs615BJuGdNgBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"770faae96cc863cb1b2be6cc69984a7f9482783795dfe437fd4138ed9bb700c3","last_reissued_at":"2026-07-05T00:33:56.377726Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:33:56.377726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.05845","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":"2026-07-05T00:33:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sh0yozbxia0AL2/7930GuYNiA+ZKTRktTjaCvqQ0g7TJkcOYgD8tRfD7Tdcxz9Ka7XkZaYnjHRsSdpstRP9aBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:26:40.091941Z"},"content_sha256":"a2501e577dceace6a4ebcfe06329ce3532539f9f4d871c51d4c4d6af41eea34c","schema_version":"1.0","event_id":"sha256:a2501e577dceace6a4ebcfe06329ce3532539f9f4d871c51d4c4d6af41eea34c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:O4H2V2LMZBR4WGZL43GGTGCKP6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Analytical Workflow for Clustering Forensic Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Audris Mockus, Dawnie Steadman, Dylan Lee, Sara Mousavi, Tatianna Griffin","submitted_at":"2019-12-29T18:20:07Z","abstract_excerpt":"Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards curating such datasets. In this work, we present a workflow for unsupervisedly clustering a large collection of forensic images. The workflow utilizes classic clustering on deep feature representation of the images in addition to domain-related data to group them together. Our manual evaluation shows a purity of 89\\% for the resulted clusters."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.05845","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2001.05845/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T00:33:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CMLRX6YWx5Kr96FOSq0H/gz9WKp469bPYzGfI5dEHG7JKnBTdcGmGJnBqZI/+7WgJ4pa/4FNBLv4YxmACdCeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:26:40.092840Z"},"content_sha256":"44b249689c75f489560b0c1009ad20d438aec1b4c37bb0406208450d421770f4","schema_version":"1.0","event_id":"sha256:44b249689c75f489560b0c1009ad20d438aec1b4c37bb0406208450d421770f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O4H2V2LMZBR4WGZL43GGTGCKP6/bundle.json","state_url":"https://pith.science/pith/O4H2V2LMZBR4WGZL43GGTGCKP6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O4H2V2LMZBR4WGZL43GGTGCKP6/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":"2026-08-03T18:26:40Z","links":{"resolver":"https://pith.science/pith/O4H2V2LMZBR4WGZL43GGTGCKP6","bundle":"https://pith.science/pith/O4H2V2LMZBR4WGZL43GGTGCKP6/bundle.json","state":"https://pith.science/pith/O4H2V2LMZBR4WGZL43GGTGCKP6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O4H2V2LMZBR4WGZL43GGTGCKP6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:O4H2V2LMZBR4WGZL43GGTGCKP6","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":"f043c21ad18bdd5290e1a6a100ec442062f38a4a6748f0adaf567eebdbb3d902","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-29T18:20:07Z","title_canon_sha256":"71ace91586f5fc968f4de5e71da4423debf0d06c955fd368a042a67d43d57277"},"schema_version":"1.0","source":{"id":"2001.05845","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.05845","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"arxiv_version","alias_value":"2001.05845v1","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.05845","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_12","alias_value":"O4H2V2LMZBR4","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_16","alias_value":"O4H2V2LMZBR4WGZL","created_at":"2026-07-05T00:33:56Z"},{"alias_kind":"pith_short_8","alias_value":"O4H2V2LM","created_at":"2026-07-05T00:33:56Z"}],"graph_snapshots":[{"event_id":"sha256:44b249689c75f489560b0c1009ad20d438aec1b4c37bb0406208450d421770f4","target":"graph","created_at":"2026-07-05T00:33:56Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2001.05845/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards curating such datasets. In this work, we present a workflow for unsupervisedly clustering a large collection of forensic images. The workflow utilizes classic clustering on deep feature representation of the images in addition to domain-related data to group them together. Our manual evaluation shows a purity of 89\\% for the resulted clusters.","authors_text":"Audris Mockus, Dawnie Steadman, Dylan Lee, Sara Mousavi, Tatianna Griffin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-29T18:20:07Z","title":"An Analytical Workflow for Clustering Forensic Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.05845","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:a2501e577dceace6a4ebcfe06329ce3532539f9f4d871c51d4c4d6af41eea34c","target":"record","created_at":"2026-07-05T00:33:56Z","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":"f043c21ad18bdd5290e1a6a100ec442062f38a4a6748f0adaf567eebdbb3d902","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-29T18:20:07Z","title_canon_sha256":"71ace91586f5fc968f4de5e71da4423debf0d06c955fd368a042a67d43d57277"},"schema_version":"1.0","source":{"id":"2001.05845","kind":"arxiv","version":1}},"canonical_sha256":"770faae96cc863cb1b2be6cc69984a7f9482783795dfe437fd4138ed9bb700c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"770faae96cc863cb1b2be6cc69984a7f9482783795dfe437fd4138ed9bb700c3","first_computed_at":"2026-07-05T00:33:56.377726Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:33:56.377726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rXXRbNrcz12v+qGHHDc+nKf82MMzlCYXUPYhy39wYOi3gKmib/O05CbsJusRAKoHSIBZ6Xbibs615BJuGdNgBA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:33:56.378102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.05845","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2501e577dceace6a4ebcfe06329ce3532539f9f4d871c51d4c4d6af41eea34c","sha256:44b249689c75f489560b0c1009ad20d438aec1b4c37bb0406208450d421770f4"],"state_sha256":"04d5ebbfee8411ec61776f4f7b168d6f749878a4d37e614f93308058d519d38d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R+9AB9a+1zlHtn6YfMsCXoc8ncGn/DoEz2ArAlrEsMvHK7XPeRdZ7vyRCRK3e7mtrjGN+hX/6BlZCJYrGTXeCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:26:40.100572Z","bundle_sha256":"e35415e20d92f260e9e14980525aa4c1f8446550fdaf1686bbd8496cc54b7aeb"}}