{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2U3RZF6DT7UD6S2J4OBMZ763NT","short_pith_number":"pith:2U3RZF6D","canonical_record":{"source":{"id":"2505.06114","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T15:13:27Z","cross_cats_sorted":[],"title_canon_sha256":"adb8d28c30019f21a2a5c0a82dfff219e5ed0642abfdd6b01c755ceb5fa54365","abstract_canon_sha256":"33ef4b401c51aaa94fd6a85cef14de1bbc6f092f3bb5af1c4a28617b784e8540"},"schema_version":"1.0"},"canonical_sha256":"d5371c97c39fe83f4b49e382ccffdb6cd96aeac804fc58b97d140b77711b70f4","source":{"kind":"arxiv","id":"2505.06114","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.06114","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"arxiv_version","alias_value":"2505.06114v1","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.06114","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"pith_short_12","alias_value":"2U3RZF6DT7UD","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"pith_short_16","alias_value":"2U3RZF6DT7UD6S2J","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"pith_short_8","alias_value":"2U3RZF6D","created_at":"2026-07-05T11:00:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2U3RZF6DT7UD6S2J4OBMZ763NT","target":"record","payload":{"canonical_record":{"source":{"id":"2505.06114","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T15:13:27Z","cross_cats_sorted":[],"title_canon_sha256":"adb8d28c30019f21a2a5c0a82dfff219e5ed0642abfdd6b01c755ceb5fa54365","abstract_canon_sha256":"33ef4b401c51aaa94fd6a85cef14de1bbc6f092f3bb5af1c4a28617b784e8540"},"schema_version":"1.0"},"canonical_sha256":"d5371c97c39fe83f4b49e382ccffdb6cd96aeac804fc58b97d140b77711b70f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:00:54.184230Z","signature_b64":"FVu4BOMg+BlH66ZRJwn3JNPxCMJmXt0LCN3Mo14+FOLTuNRq7/pMo1K7D5lQOy/J4kAEiz2KsOZ+bZ8I+vxPAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5371c97c39fe83f4b49e382ccffdb6cd96aeac804fc58b97d140b77711b70f4","last_reissued_at":"2026-07-05T11:00:54.183647Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:00:54.183647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.06114","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":"2026-07-05T11:00:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XYxHeTp1f0h4mW9J55RKmkaK3hXS0RQUTZ1InbpGMToC5qQtbWu8viX09NsgJ37Tv6ZRvRbKkEXG8wXqQnfjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:51:05.631807Z"},"content_sha256":"252ecf7447ee7a720fd9ab8c6d8d1968104e37270324c22b4ddb33a190837cd1","schema_version":"1.0","event_id":"sha256:252ecf7447ee7a720fd9ab8c6d8d1968104e37270324c22b4ddb33a190837cd1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2U3RZF6DT7UD6S2J4OBMZ763NT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FIC-TSC: Learning Time Series Classification with Fisher Information Constraint","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Abolfazl Razi, Aristeidis Sotiras, Hao Wang, Huayu Li, Peijie Qiu, Wenhui Zhu, Xiwen Chen, Yalin Wang, Zihan Li","submitted_at":"2025-05-09T15:13:27Z","abstract_excerpt":"Analyzing time series data is crucial to a wide spectrum of applications, including economics, online marketplaces, and human healthcare. In particular, time series classification plays an indispensable role in segmenting different phases in stock markets, predicting customer behavior, and classifying worker actions and engagement levels. These aspects contribute significantly to the advancement of automated decision-making and system optimization in real-world applications. However, there is a large consensus that time series data often suffers from domain shifts between training and test set"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.06114","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/2505.06114/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":"2026-07-05T11:00:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dOHDKYkGdMDE1qf/QX58TvrHgP1lk8CpeNaKDMNnMZZTUxiocgFhSFCJhbKnMZ4kpbBLYVhcRS7YFLkJ47a6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:51:05.632379Z"},"content_sha256":"82745c7dd9441a018ac52e66aba31ce61869ab62bc573917524c71ac61ff8afb","schema_version":"1.0","event_id":"sha256:82745c7dd9441a018ac52e66aba31ce61869ab62bc573917524c71ac61ff8afb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2U3RZF6DT7UD6S2J4OBMZ763NT/bundle.json","state_url":"https://pith.science/pith/2U3RZF6DT7UD6S2J4OBMZ763NT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2U3RZF6DT7UD6S2J4OBMZ763NT/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":"2026-08-06T15:51:05Z","links":{"resolver":"https://pith.science/pith/2U3RZF6DT7UD6S2J4OBMZ763NT","bundle":"https://pith.science/pith/2U3RZF6DT7UD6S2J4OBMZ763NT/bundle.json","state":"https://pith.science/pith/2U3RZF6DT7UD6S2J4OBMZ763NT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2U3RZF6DT7UD6S2J4OBMZ763NT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2U3RZF6DT7UD6S2J4OBMZ763NT","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":"33ef4b401c51aaa94fd6a85cef14de1bbc6f092f3bb5af1c4a28617b784e8540","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T15:13:27Z","title_canon_sha256":"adb8d28c30019f21a2a5c0a82dfff219e5ed0642abfdd6b01c755ceb5fa54365"},"schema_version":"1.0","source":{"id":"2505.06114","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.06114","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"arxiv_version","alias_value":"2505.06114v1","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.06114","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"pith_short_12","alias_value":"2U3RZF6DT7UD","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"pith_short_16","alias_value":"2U3RZF6DT7UD6S2J","created_at":"2026-07-05T11:00:54Z"},{"alias_kind":"pith_short_8","alias_value":"2U3RZF6D","created_at":"2026-07-05T11:00:54Z"}],"graph_snapshots":[{"event_id":"sha256:82745c7dd9441a018ac52e66aba31ce61869ab62bc573917524c71ac61ff8afb","target":"graph","created_at":"2026-07-05T11:00:54Z","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/2505.06114/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analyzing time series data is crucial to a wide spectrum of applications, including economics, online marketplaces, and human healthcare. In particular, time series classification plays an indispensable role in segmenting different phases in stock markets, predicting customer behavior, and classifying worker actions and engagement levels. These aspects contribute significantly to the advancement of automated decision-making and system optimization in real-world applications. However, there is a large consensus that time series data often suffers from domain shifts between training and test set","authors_text":"Abolfazl Razi, Aristeidis Sotiras, Hao Wang, Huayu Li, Peijie Qiu, Wenhui Zhu, Xiwen Chen, Yalin Wang, Zihan Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T15:13:27Z","title":"FIC-TSC: Learning Time Series Classification with Fisher Information Constraint"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.06114","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":"sha256:252ecf7447ee7a720fd9ab8c6d8d1968104e37270324c22b4ddb33a190837cd1","target":"record","created_at":"2026-07-05T11:00:54Z","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":"33ef4b401c51aaa94fd6a85cef14de1bbc6f092f3bb5af1c4a28617b784e8540","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-09T15:13:27Z","title_canon_sha256":"adb8d28c30019f21a2a5c0a82dfff219e5ed0642abfdd6b01c755ceb5fa54365"},"schema_version":"1.0","source":{"id":"2505.06114","kind":"arxiv","version":1}},"canonical_sha256":"d5371c97c39fe83f4b49e382ccffdb6cd96aeac804fc58b97d140b77711b70f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5371c97c39fe83f4b49e382ccffdb6cd96aeac804fc58b97d140b77711b70f4","first_computed_at":"2026-07-05T11:00:54.183647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:00:54.183647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FVu4BOMg+BlH66ZRJwn3JNPxCMJmXt0LCN3Mo14+FOLTuNRq7/pMo1K7D5lQOy/J4kAEiz2KsOZ+bZ8I+vxPAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:00:54.184230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.06114","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:252ecf7447ee7a720fd9ab8c6d8d1968104e37270324c22b4ddb33a190837cd1","sha256:82745c7dd9441a018ac52e66aba31ce61869ab62bc573917524c71ac61ff8afb"],"state_sha256":"c0edbf66218e41141f79930cd0758c0f8c8bb1b0bbf8dc91945e2f864d0b05bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8T0OPTpupwQEB2OqO80t7teg4GuDcJnGIcZWbtqjQyxLGYFanOhrzB2D6NbXDV1Y2gKEa5J2Zf+b2upYkcfmAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:51:05.637364Z","bundle_sha256":"133af0834503ae2bdebae7ceb8ecd0529ba07871f65ea42cf95539ad085ff48c"}}