{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DHPIFRGVANRRF7OKSXSIL6WXNI","short_pith_number":"pith:DHPIFRGV","canonical_record":{"source":{"id":"2504.20174","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2025-04-28T18:16:57Z","cross_cats_sorted":[],"title_canon_sha256":"f2137f0259d158aec716f782e96bf2d2ce1176932b8a7115b59a79b46cf89a42","abstract_canon_sha256":"ed26e6ac00395b22f3e00dadfb96125b3841f2ea25bbca62f380b653d1f4b7b7"},"schema_version":"1.0"},"canonical_sha256":"19de82c4d5036312fdca95e485fad76a0268a23be77cedc2f39e80b2ad235670","source":{"kind":"arxiv","id":"2504.20174","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20174","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20174v1","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20174","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"pith_short_12","alias_value":"DHPIFRGVANRR","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"pith_short_16","alias_value":"DHPIFRGVANRRF7OK","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"pith_short_8","alias_value":"DHPIFRGV","created_at":"2026-07-05T10:55:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DHPIFRGVANRRF7OKSXSIL6WXNI","target":"record","payload":{"canonical_record":{"source":{"id":"2504.20174","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2025-04-28T18:16:57Z","cross_cats_sorted":[],"title_canon_sha256":"f2137f0259d158aec716f782e96bf2d2ce1176932b8a7115b59a79b46cf89a42","abstract_canon_sha256":"ed26e6ac00395b22f3e00dadfb96125b3841f2ea25bbca62f380b653d1f4b7b7"},"schema_version":"1.0"},"canonical_sha256":"19de82c4d5036312fdca95e485fad76a0268a23be77cedc2f39e80b2ad235670","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:55:37.743163Z","signature_b64":"PAVsJJgm8y0qXaFgqxtcc/eMpr+schzjm47HEW4MVfq8XhDRPNaFNVl85SLfOfnToaE8Ka32NCQLZa7ERRlQCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19de82c4d5036312fdca95e485fad76a0268a23be77cedc2f39e80b2ad235670","last_reissued_at":"2026-07-05T10:55:37.742768Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:55:37.742768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.20174","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":"2026-07-05T10:55:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T3zC6IHIVdOqshQ5xbg5j6xtnT6rPdPtGZvcNiRzYzN1cTGbcgkDP+BFrpEwLjRpu7BCpyDTrFJ/s+Usl94sBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:38:30.312857Z"},"content_sha256":"a81c6a0200ed88d9bfd53125bd26bebe8a2b3bba96ac05647c990e9b82d5429b","schema_version":"1.0","event_id":"sha256:a81c6a0200ed88d9bfd53125bd26bebe8a2b3bba96ac05647c990e9b82d5429b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DHPIFRGVANRRF7OKSXSIL6WXNI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.OH","authors_text":"Amilcar Soares, Lourdes Pena, Yashat Tavakoli","submitted_at":"2025-04-28T18:16:57Z","abstract_excerpt":"Movement data is prevalent across various applications and scientific fields, often characterized by its massive scale and complexity. Exploratory Data Analysis (EDA) plays a crucial role in summarizing and describing such data, enabling researchers to generate insights and support scientific hypotheses. Despite its importance, traditional EDA practices face limitations when applied to high-dimensional, unlabeled movement data. The complexity and multi-faceted nature of this type of data require more advanced methods that go beyond the capabilities of current EDA techniques. This study address"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20174","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/2504.20174/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":"2026-07-05T10:55:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fv3mh+e06J7euZvy11XSwjdVToaKCzTS91/ZXfn2gEodGU4tCY3M3sPqAvSJFMuwCDTgyk0anbdXz8K5ZHYvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:38:30.313425Z"},"content_sha256":"f8930b5adfa20ca1a971573dcaa56e8f0478cec3b02b3369756b555ccf18395f","schema_version":"1.0","event_id":"sha256:f8930b5adfa20ca1a971573dcaa56e8f0478cec3b02b3369756b555ccf18395f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DHPIFRGVANRRF7OKSXSIL6WXNI/bundle.json","state_url":"https://pith.science/pith/DHPIFRGVANRRF7OKSXSIL6WXNI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DHPIFRGVANRRF7OKSXSIL6WXNI/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":"2026-08-23T00:38:30Z","links":{"resolver":"https://pith.science/pith/DHPIFRGVANRRF7OKSXSIL6WXNI","bundle":"https://pith.science/pith/DHPIFRGVANRRF7OKSXSIL6WXNI/bundle.json","state":"https://pith.science/pith/DHPIFRGVANRRF7OKSXSIL6WXNI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DHPIFRGVANRRF7OKSXSIL6WXNI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DHPIFRGVANRRF7OKSXSIL6WXNI","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":"ed26e6ac00395b22f3e00dadfb96125b3841f2ea25bbca62f380b653d1f4b7b7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2025-04-28T18:16:57Z","title_canon_sha256":"f2137f0259d158aec716f782e96bf2d2ce1176932b8a7115b59a79b46cf89a42"},"schema_version":"1.0","source":{"id":"2504.20174","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20174","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20174v1","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20174","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"pith_short_12","alias_value":"DHPIFRGVANRR","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"pith_short_16","alias_value":"DHPIFRGVANRRF7OK","created_at":"2026-07-05T10:55:37Z"},{"alias_kind":"pith_short_8","alias_value":"DHPIFRGV","created_at":"2026-07-05T10:55:37Z"}],"graph_snapshots":[{"event_id":"sha256:f8930b5adfa20ca1a971573dcaa56e8f0478cec3b02b3369756b555ccf18395f","target":"graph","created_at":"2026-07-05T10:55:37Z","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/2504.20174/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Movement data is prevalent across various applications and scientific fields, often characterized by its massive scale and complexity. Exploratory Data Analysis (EDA) plays a crucial role in summarizing and describing such data, enabling researchers to generate insights and support scientific hypotheses. Despite its importance, traditional EDA practices face limitations when applied to high-dimensional, unlabeled movement data. The complexity and multi-faceted nature of this type of data require more advanced methods that go beyond the capabilities of current EDA techniques. This study address","authors_text":"Amilcar Soares, Lourdes Pena, Yashat Tavakoli","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2025-04-28T18:16:57Z","title":"A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20174","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:a81c6a0200ed88d9bfd53125bd26bebe8a2b3bba96ac05647c990e9b82d5429b","target":"record","created_at":"2026-07-05T10:55:37Z","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":"ed26e6ac00395b22f3e00dadfb96125b3841f2ea25bbca62f380b653d1f4b7b7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2025-04-28T18:16:57Z","title_canon_sha256":"f2137f0259d158aec716f782e96bf2d2ce1176932b8a7115b59a79b46cf89a42"},"schema_version":"1.0","source":{"id":"2504.20174","kind":"arxiv","version":1}},"canonical_sha256":"19de82c4d5036312fdca95e485fad76a0268a23be77cedc2f39e80b2ad235670","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19de82c4d5036312fdca95e485fad76a0268a23be77cedc2f39e80b2ad235670","first_computed_at":"2026-07-05T10:55:37.742768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:37.742768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PAVsJJgm8y0qXaFgqxtcc/eMpr+schzjm47HEW4MVfq8XhDRPNaFNVl85SLfOfnToaE8Ka32NCQLZa7ERRlQCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:37.743163Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.20174","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a81c6a0200ed88d9bfd53125bd26bebe8a2b3bba96ac05647c990e9b82d5429b","sha256:f8930b5adfa20ca1a971573dcaa56e8f0478cec3b02b3369756b555ccf18395f"],"state_sha256":"aaee7710c9e632255895db8ebfef06a40a606eeb357be8b7f3d308c5d82895dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7SSpob/CDs2HwFMuLgRl/ylvZcbFtrQDMP3dT0S7erbU1wifNQik7ZfBYq19qXc4mk+LaWiPkste4vhYdVCpBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T00:38:30.317051Z","bundle_sha256":"162e885ec4b617855ef6f70d081cec6795ad27543d37b41737eb5aa231857e03"}}