{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:66VFBJCXUCISCDVTBFJHZAO32O","short_pith_number":"pith:66VFBJCX","canonical_record":{"source":{"id":"2109.08688","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-17T17:51:34Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"title_canon_sha256":"a1f20e35e9e39f6c5a57bde70610fc002948bc60389bb6e3be8e02fe841e9af5","abstract_canon_sha256":"537bc6f2428647120bdd5ed68b62ade2864f7b2a4496397ecd92e59e595b9e83"},"schema_version":"1.0"},"canonical_sha256":"f7aa50a457a091210eb309527c81dbd3a37bbedfa2596feddd749a84cd1ed667","source":{"kind":"arxiv","id":"2109.08688","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.08688","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2109.08688v1","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.08688","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"66VFBJCXUCIS","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"66VFBJCXUCISCDVT","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"66VFBJCX","created_at":"2026-07-05T03:15:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:66VFBJCXUCISCDVTBFJHZAO32O","target":"record","payload":{"canonical_record":{"source":{"id":"2109.08688","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-17T17:51:34Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"title_canon_sha256":"a1f20e35e9e39f6c5a57bde70610fc002948bc60389bb6e3be8e02fe841e9af5","abstract_canon_sha256":"537bc6f2428647120bdd5ed68b62ade2864f7b2a4496397ecd92e59e595b9e83"},"schema_version":"1.0"},"canonical_sha256":"f7aa50a457a091210eb309527c81dbd3a37bbedfa2596feddd749a84cd1ed667","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:15:19.167466Z","signature_b64":"GHnR+SYJptwa6NnpJUK+7w1HipQK1MLZTAGHUWpXdi5hUepHROCcX+SLvgdOKopad/dB2myYfLhfnlWDa+j+AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7aa50a457a091210eb309527c81dbd3a37bbedfa2596feddd749a84cd1ed667","last_reissued_at":"2026-07-05T03:15:19.166974Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:15:19.166974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.08688","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":"2026-07-05T03:15:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/LTHUC+t9HTwUZ4aJJ6VcsNWfhMSLNUGUc8fxq5Dx/av+/lKFE6REYyDgUDX7utT7zLysWqLVyUd279aREbIBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:43:34.328796Z"},"content_sha256":"47c778b551f61464b343a97979ecd8a74b8f765d373be2ce209809c57271a3ba","schema_version":"1.0","event_id":"sha256:47c778b551f61464b343a97979ecd8a74b8f765d373be2ce209809c57271a3ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:66VFBJCXUCISCDVTBFJHZAO32O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Diego Oliva, Rajarshi Bandyopadhyay, Ram Sarkar, Rohit Kundu","submitted_at":"2021-09-17T17:51:34Z","abstract_excerpt":"Segmentation is an essential requirement in medicine when digital images are used in illness diagnosis, especially, in posterior tasks as analysis and disease identification. An efficient segmentation of brain Magnetic Resonance Images (MRIs) is of prime concern to radiologists due to their poor illumination and other conditions related to de acquisition of the images. Thresholding is a popular method for segmentation that uses the histogram of an image to label different homogeneous groups of pixels into different classes. However, the computational cost increases exponentially according to t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.08688","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/2109.08688/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":"2026-07-05T03:15:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GdnWI/oDe/+iFCP9oqh+/4zWpFH+OQX1UjcQLgILGGJ/14BFk3/mGZ6ePjlWUdByftUHcvVsoup2i3CoNSM/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T05:43:34.329425Z"},"content_sha256":"1263cc3160c155700d7acfdf4e834fd7dc8574404a142e2068a8db62eb0e2e57","schema_version":"1.0","event_id":"sha256:1263cc3160c155700d7acfdf4e834fd7dc8574404a142e2068a8db62eb0e2e57"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66VFBJCXUCISCDVTBFJHZAO32O/bundle.json","state_url":"https://pith.science/pith/66VFBJCXUCISCDVTBFJHZAO32O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66VFBJCXUCISCDVTBFJHZAO32O/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":"2026-08-17T05:43:34Z","links":{"resolver":"https://pith.science/pith/66VFBJCXUCISCDVTBFJHZAO32O","bundle":"https://pith.science/pith/66VFBJCXUCISCDVTBFJHZAO32O/bundle.json","state":"https://pith.science/pith/66VFBJCXUCISCDVTBFJHZAO32O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66VFBJCXUCISCDVTBFJHZAO32O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:66VFBJCXUCISCDVTBFJHZAO32O","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":"537bc6f2428647120bdd5ed68b62ade2864f7b2a4496397ecd92e59e595b9e83","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-17T17:51:34Z","title_canon_sha256":"a1f20e35e9e39f6c5a57bde70610fc002948bc60389bb6e3be8e02fe841e9af5"},"schema_version":"1.0","source":{"id":"2109.08688","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.08688","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2109.08688v1","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.08688","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"66VFBJCXUCIS","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"66VFBJCXUCISCDVT","created_at":"2026-07-05T03:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"66VFBJCX","created_at":"2026-07-05T03:15:19Z"}],"graph_snapshots":[{"event_id":"sha256:1263cc3160c155700d7acfdf4e834fd7dc8574404a142e2068a8db62eb0e2e57","target":"graph","created_at":"2026-07-05T03:15:19Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2109.08688/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation is an essential requirement in medicine when digital images are used in illness diagnosis, especially, in posterior tasks as analysis and disease identification. An efficient segmentation of brain Magnetic Resonance Images (MRIs) is of prime concern to radiologists due to their poor illumination and other conditions related to de acquisition of the images. Thresholding is a popular method for segmentation that uses the histogram of an image to label different homogeneous groups of pixels into different classes. However, the computational cost increases exponentially according to t","authors_text":"Diego Oliva, Rajarshi Bandyopadhyay, Ram Sarkar, Rohit Kundu","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-17T17:51:34Z","title":"Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.08688","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":"sha256:47c778b551f61464b343a97979ecd8a74b8f765d373be2ce209809c57271a3ba","target":"record","created_at":"2026-07-05T03:15:19Z","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":"537bc6f2428647120bdd5ed68b62ade2864f7b2a4496397ecd92e59e595b9e83","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-17T17:51:34Z","title_canon_sha256":"a1f20e35e9e39f6c5a57bde70610fc002948bc60389bb6e3be8e02fe841e9af5"},"schema_version":"1.0","source":{"id":"2109.08688","kind":"arxiv","version":1}},"canonical_sha256":"f7aa50a457a091210eb309527c81dbd3a37bbedfa2596feddd749a84cd1ed667","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7aa50a457a091210eb309527c81dbd3a37bbedfa2596feddd749a84cd1ed667","first_computed_at":"2026-07-05T03:15:19.166974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:15:19.166974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GHnR+SYJptwa6NnpJUK+7w1HipQK1MLZTAGHUWpXdi5hUepHROCcX+SLvgdOKopad/dB2myYfLhfnlWDa+j+AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:15:19.167466Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.08688","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47c778b551f61464b343a97979ecd8a74b8f765d373be2ce209809c57271a3ba","sha256:1263cc3160c155700d7acfdf4e834fd7dc8574404a142e2068a8db62eb0e2e57"],"state_sha256":"1b3134fe33ae9e0a5b115920b4be44fc2567dc3abff86a4ec577f0a76a02a3c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0VdvAWsV4q3hsU6aoaSuIpcmbLJgqDQkk16/gBCMR5n+k0XRx1B298FfCKV3Nh7S+kK91J86HPCJ/X5pNnJzBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T05:43:34.333396Z","bundle_sha256":"e88ad2b474031f938a8cf9a90c157c80e92f74d450baff1b1c7c067c7f4752d4"}}