{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FSQVYLIHUYBHFE4Y6G56SSNXEZ","short_pith_number":"pith:FSQVYLIH","canonical_record":{"source":{"id":"2202.02764","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-06T12:07:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"820b08aa19e789fc25ec7911373619c0998b6ac02e295252430f931a725db3cd","abstract_canon_sha256":"05cdb1e4e7c1cf4f8ad7b2394673bac9735cb21ac818a7bd4cab52a0c513e5cd"},"schema_version":"1.0"},"canonical_sha256":"2ca15c2d07a602729398f1bbe949b72640708c1a6652b70c4f89fb887da44f21","source":{"kind":"arxiv","id":"2202.02764","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02764","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02764v1","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02764","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"pith_short_12","alias_value":"FSQVYLIHUYBH","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"pith_short_16","alias_value":"FSQVYLIHUYBHFE4Y","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"pith_short_8","alias_value":"FSQVYLIH","created_at":"2026-07-05T03:54:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FSQVYLIHUYBHFE4Y6G56SSNXEZ","target":"record","payload":{"canonical_record":{"source":{"id":"2202.02764","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-06T12:07:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"820b08aa19e789fc25ec7911373619c0998b6ac02e295252430f931a725db3cd","abstract_canon_sha256":"05cdb1e4e7c1cf4f8ad7b2394673bac9735cb21ac818a7bd4cab52a0c513e5cd"},"schema_version":"1.0"},"canonical_sha256":"2ca15c2d07a602729398f1bbe949b72640708c1a6652b70c4f89fb887da44f21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:32.701771Z","signature_b64":"t0Gt0n/LDCMRejgDI5cC/OEsRv8P0OXNTGqT+8l4TNz95iRiRCL+nytSo80E0oF2nQEIOYJTPyK50atyTcCFDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ca15c2d07a602729398f1bbe949b72640708c1a6652b70c4f89fb887da44f21","last_reissued_at":"2026-07-05T03:54:32.701371Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:32.701371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.02764","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":"2026-07-05T03:54:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"udcQ0HyC64R/H/zGu5cxbaGF0f7MYDC01QZCe1H5B3fb+CWqKE7aqJ+xTmopGENEvPqMrWTO3GFQToH1ku40Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:30:45.133557Z"},"content_sha256":"1a23abf40ac6c0a0f3dcbb453b73970d56215b0f063a173bf24b301d084df3a5","schema_version":"1.0","event_id":"sha256:1a23abf40ac6c0a0f3dcbb453b73970d56215b0f063a173bf24b301d084df3a5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FSQVYLIHUYBHFE4Y6G56SSNXEZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Amber Kiyani, Hassan Aqeel Khan, Komal Mariam, Muhammad Umar Javed, Nasir Rajpoot, Osama Mohammed Afzal, Syed Ali Khurram, Wajahat Hussain","submitted_at":"2022-02-06T12:07:12Z","abstract_excerpt":"Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology applications. Although slide digitization via whole slide imaging scanners has increased the speed of data acquisition, labeling of virtual slides requires a substantial time investment from pathologists. Eye gaze annotations have the potential to speed up the slide labeling process. This work explores the viability and timing comparisons of eye gaze labeling compared to conventional manual labeling for training object detectors. Challenges associ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02764","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/2202.02764/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":"2026-07-05T03:54:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KSeyRmeDw4xDVvAfM9j+GMIKFZiWvBX5SpF2y3Lkqdu5ttFamH+F8DCplrroafI+wtplGRBxdjHXeKNxOe4LBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:30:45.133975Z"},"content_sha256":"37cb840b9081aa438cfd9e05f9cf9ebfb9da77780c0153bcaef703553d546ccb","schema_version":"1.0","event_id":"sha256:37cb840b9081aa438cfd9e05f9cf9ebfb9da77780c0153bcaef703553d546ccb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ/bundle.json","state_url":"https://pith.science/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ/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":"2026-07-07T05:30:45Z","links":{"resolver":"https://pith.science/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ","bundle":"https://pith.science/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ/bundle.json","state":"https://pith.science/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FSQVYLIHUYBHFE4Y6G56SSNXEZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FSQVYLIHUYBHFE4Y6G56SSNXEZ","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":"05cdb1e4e7c1cf4f8ad7b2394673bac9735cb21ac818a7bd4cab52a0c513e5cd","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-06T12:07:12Z","title_canon_sha256":"820b08aa19e789fc25ec7911373619c0998b6ac02e295252430f931a725db3cd"},"schema_version":"1.0","source":{"id":"2202.02764","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02764","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02764v1","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02764","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"pith_short_12","alias_value":"FSQVYLIHUYBH","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"pith_short_16","alias_value":"FSQVYLIHUYBHFE4Y","created_at":"2026-07-05T03:54:32Z"},{"alias_kind":"pith_short_8","alias_value":"FSQVYLIH","created_at":"2026-07-05T03:54:32Z"}],"graph_snapshots":[{"event_id":"sha256:37cb840b9081aa438cfd9e05f9cf9ebfb9da77780c0153bcaef703553d546ccb","target":"graph","created_at":"2026-07-05T03:54:32Z","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/2202.02764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology applications. Although slide digitization via whole slide imaging scanners has increased the speed of data acquisition, labeling of virtual slides requires a substantial time investment from pathologists. Eye gaze annotations have the potential to speed up the slide labeling process. This work explores the viability and timing comparisons of eye gaze labeling compared to conventional manual labeling for training object detectors. Challenges associ","authors_text":"Amber Kiyani, Hassan Aqeel Khan, Komal Mariam, Muhammad Umar Javed, Nasir Rajpoot, Osama Mohammed Afzal, Syed Ali Khurram, Wajahat Hussain","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-06T12:07:12Z","title":"On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02764","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":"sha256:1a23abf40ac6c0a0f3dcbb453b73970d56215b0f063a173bf24b301d084df3a5","target":"record","created_at":"2026-07-05T03:54:32Z","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":"05cdb1e4e7c1cf4f8ad7b2394673bac9735cb21ac818a7bd4cab52a0c513e5cd","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-06T12:07:12Z","title_canon_sha256":"820b08aa19e789fc25ec7911373619c0998b6ac02e295252430f931a725db3cd"},"schema_version":"1.0","source":{"id":"2202.02764","kind":"arxiv","version":1}},"canonical_sha256":"2ca15c2d07a602729398f1bbe949b72640708c1a6652b70c4f89fb887da44f21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ca15c2d07a602729398f1bbe949b72640708c1a6652b70c4f89fb887da44f21","first_computed_at":"2026-07-05T03:54:32.701371Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:32.701371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t0Gt0n/LDCMRejgDI5cC/OEsRv8P0OXNTGqT+8l4TNz95iRiRCL+nytSo80E0oF2nQEIOYJTPyK50atyTcCFDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:32.701771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.02764","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a23abf40ac6c0a0f3dcbb453b73970d56215b0f063a173bf24b301d084df3a5","sha256:37cb840b9081aa438cfd9e05f9cf9ebfb9da77780c0153bcaef703553d546ccb"],"state_sha256":"4a240d56b3908eedafcefe9630d5f5a4693d2af6f69981527ee8730b67c20fd4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N1ZRecDDpCIrgcp/ExwjYOZ0IlFXk6is9XpJ6rmD5FpS5hvZcdYMnnOl9qvqPObvpczPJwVNQBqUTRXbAcnSDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:30:45.136561Z","bundle_sha256":"6688da701de9b5a47ecd1583d4cccfbd93a60ae138c5e7fa361c9d008a643cb7"}}