{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:HGFBNJJ7EM7DZPK6A6YCITMIU2","short_pith_number":"pith:HGFBNJJ7","canonical_record":{"source":{"id":"2212.03176","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-12-04T21:52:38Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"1fe1e676cc4d0aaba04a681517f3144e35183d2c432c907f55080a5e3e3e8e5d","abstract_canon_sha256":"c67ecc91e9d93e031cb80fa91bda85ff759d97edd942e9c72e7a35b5b704996c"},"schema_version":"1.0"},"canonical_sha256":"398a16a53f233e3cbd5e07b0244d88a681ac7f3795b04f9aafa22051a58022ae","source":{"kind":"arxiv","id":"2212.03176","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.03176","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"2212.03176v1","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.03176","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"HGFBNJJ7EM7D","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_16","alias_value":"HGFBNJJ7EM7DZPK6","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_8","alias_value":"HGFBNJJ7","created_at":"2026-07-05T05:23:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:HGFBNJJ7EM7DZPK6A6YCITMIU2","target":"record","payload":{"canonical_record":{"source":{"id":"2212.03176","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-12-04T21:52:38Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"1fe1e676cc4d0aaba04a681517f3144e35183d2c432c907f55080a5e3e3e8e5d","abstract_canon_sha256":"c67ecc91e9d93e031cb80fa91bda85ff759d97edd942e9c72e7a35b5b704996c"},"schema_version":"1.0"},"canonical_sha256":"398a16a53f233e3cbd5e07b0244d88a681ac7f3795b04f9aafa22051a58022ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:23:04.707214Z","signature_b64":"HTKI8C/V7mUoaHd7dciWmUYl+rmfy2On41pmT1WMuZRt40wbQry+ZDTecjY7Y7f7LL2LT+nY1v9vUwlM0/4OCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"398a16a53f233e3cbd5e07b0244d88a681ac7f3795b04f9aafa22051a58022ae","last_reissued_at":"2026-07-05T05:23:04.706852Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:23:04.706852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.03176","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":"2026-07-05T05:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CGv0iBO7EbuxRlS3KQeUU5pAnva9ksSA19HVrJV7QuNsWuSJuniDWOryq+Uh4/hpMxNFCXUbwC0u3fLgRdHrBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:58:38.995964Z"},"content_sha256":"52cac83608a73480ecaa458bff2e3de5339f58cded8508035822e15e66207c32","schema_version":"1.0","event_id":"sha256:52cac83608a73480ecaa458bff2e3de5339f58cded8508035822e15e66207c32"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:HGFBNJJ7EM7DZPK6A6YCITMIU2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Ali Balapour, Amin Meghrazi, Armin Behnamnia, Gita Sarafraz, Hamid R. Rabiee, Mehran Hosseinzadeh","submitted_at":"2022-12-04T21:52:38Z","abstract_excerpt":"Machine learning algorithms have revolutionized different fields, including natural language processing, computer vision, signal processing, and medical data processing. Despite the excellent capabilities of machine learning algorithms in various tasks and areas, the performance of these models mainly deteriorates when there is a shift in the test and training data distributions. This gap occurs due to the violation of the fundamental assumption that the training and test data are independent and identically distributed (i.i.d). In real-world scenarios where collecting data from all possible d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.03176","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/2212.03176/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":"2026-07-05T05:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SD5FjSZvmJx0CPxTksTK+iyAUiLUPc1BXLUGZDwgQodwgAza1CmIN9W/3FGLBLuupQ9yuJZqdxVvOWCF+K8xDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:58:38.996586Z"},"content_sha256":"2156dd9ff5cf9ad8d1d99e7990cb647c771c6b0f34ef54663681f5964040bb6b","schema_version":"1.0","event_id":"sha256:2156dd9ff5cf9ad8d1d99e7990cb647c771c6b0f34ef54663681f5964040bb6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2/bundle.json","state_url":"https://pith.science/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2/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":"2026-08-16T16:58:39Z","links":{"resolver":"https://pith.science/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2","bundle":"https://pith.science/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2/bundle.json","state":"https://pith.science/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HGFBNJJ7EM7DZPK6A6YCITMIU2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HGFBNJJ7EM7DZPK6A6YCITMIU2","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":"c67ecc91e9d93e031cb80fa91bda85ff759d97edd942e9c72e7a35b5b704996c","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-12-04T21:52:38Z","title_canon_sha256":"1fe1e676cc4d0aaba04a681517f3144e35183d2c432c907f55080a5e3e3e8e5d"},"schema_version":"1.0","source":{"id":"2212.03176","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.03176","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"2212.03176v1","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.03176","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"HGFBNJJ7EM7D","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_16","alias_value":"HGFBNJJ7EM7DZPK6","created_at":"2026-07-05T05:23:04Z"},{"alias_kind":"pith_short_8","alias_value":"HGFBNJJ7","created_at":"2026-07-05T05:23:04Z"}],"graph_snapshots":[{"event_id":"sha256:2156dd9ff5cf9ad8d1d99e7990cb647c771c6b0f34ef54663681f5964040bb6b","target":"graph","created_at":"2026-07-05T05:23:04Z","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/2212.03176/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning algorithms have revolutionized different fields, including natural language processing, computer vision, signal processing, and medical data processing. Despite the excellent capabilities of machine learning algorithms in various tasks and areas, the performance of these models mainly deteriorates when there is a shift in the test and training data distributions. This gap occurs due to the violation of the fundamental assumption that the training and test data are independent and identically distributed (i.i.d). In real-world scenarios where collecting data from all possible d","authors_text":"Ali Balapour, Amin Meghrazi, Armin Behnamnia, Gita Sarafraz, Hamid R. Rabiee, Mehran Hosseinzadeh","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-12-04T21:52:38Z","title":"Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.03176","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":"sha256:52cac83608a73480ecaa458bff2e3de5339f58cded8508035822e15e66207c32","target":"record","created_at":"2026-07-05T05:23:04Z","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":"c67ecc91e9d93e031cb80fa91bda85ff759d97edd942e9c72e7a35b5b704996c","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-12-04T21:52:38Z","title_canon_sha256":"1fe1e676cc4d0aaba04a681517f3144e35183d2c432c907f55080a5e3e3e8e5d"},"schema_version":"1.0","source":{"id":"2212.03176","kind":"arxiv","version":1}},"canonical_sha256":"398a16a53f233e3cbd5e07b0244d88a681ac7f3795b04f9aafa22051a58022ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"398a16a53f233e3cbd5e07b0244d88a681ac7f3795b04f9aafa22051a58022ae","first_computed_at":"2026-07-05T05:23:04.706852Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:23:04.706852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HTKI8C/V7mUoaHd7dciWmUYl+rmfy2On41pmT1WMuZRt40wbQry+ZDTecjY7Y7f7LL2LT+nY1v9vUwlM0/4OCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:23:04.707214Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.03176","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52cac83608a73480ecaa458bff2e3de5339f58cded8508035822e15e66207c32","sha256:2156dd9ff5cf9ad8d1d99e7990cb647c771c6b0f34ef54663681f5964040bb6b"],"state_sha256":"00eacb201da0441c068a6e45da4960cac5cf41dbe5cf2cdeac981b70e5e3a7db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ToamGF9Yz4HmQnFiQr8uvmnBf1UGlsQ9iwaMWL3+bLebzNOMF/JQFAITQJ5CZsnIpiLL1CFkJ3vlIGmGs//nDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T16:58:39.002781Z","bundle_sha256":"0ce2f92a293bb5955c39eda6cf05b358792e40f69398f75a6e1302da0ec20bdb"}}