{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZJIU6PQHBAUPGB367DC6NVZV7K","short_pith_number":"pith:ZJIU6PQH","canonical_record":{"source":{"id":"2307.07703","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-15T04:31:28Z","cross_cats_sorted":[],"title_canon_sha256":"c150a1655fd9a3c542411170564d013095f307ccb7bec7a648fab3e2d7f873d2","abstract_canon_sha256":"40a5ed8aa6570036e6e5e5e76b4d6fab83804b2dbf9b547296985cae12e71f2c"},"schema_version":"1.0"},"canonical_sha256":"ca514f3e070828f3077ef8c5e6d735faad1ee3a862ac1e4b6c4fedd4b7309dd5","source":{"kind":"arxiv","id":"2307.07703","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.07703","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"arxiv_version","alias_value":"2307.07703v1","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.07703","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"pith_short_12","alias_value":"ZJIU6PQHBAUP","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"pith_short_16","alias_value":"ZJIU6PQHBAUPGB36","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"pith_short_8","alias_value":"ZJIU6PQH","created_at":"2026-07-05T06:31:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZJIU6PQHBAUPGB367DC6NVZV7K","target":"record","payload":{"canonical_record":{"source":{"id":"2307.07703","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-15T04:31:28Z","cross_cats_sorted":[],"title_canon_sha256":"c150a1655fd9a3c542411170564d013095f307ccb7bec7a648fab3e2d7f873d2","abstract_canon_sha256":"40a5ed8aa6570036e6e5e5e76b4d6fab83804b2dbf9b547296985cae12e71f2c"},"schema_version":"1.0"},"canonical_sha256":"ca514f3e070828f3077ef8c5e6d735faad1ee3a862ac1e4b6c4fedd4b7309dd5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:31:14.861577Z","signature_b64":"5S9aH+STQxYA8PQhLLwHJgFP0fL+/UBbmfkz2Tfxre+52SsLtvRb/lichc0qI1LJe8lRUz/PKkGeKC79YNYiDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca514f3e070828f3077ef8c5e6d735faad1ee3a862ac1e4b6c4fedd4b7309dd5","last_reissued_at":"2026-07-05T06:31:14.861160Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:31:14.861160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.07703","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":"2026-07-05T06:31:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ePlhtV9TvmRMvB91zC9h4WaWtmhAoDRtCEwEWat4ddRhogYfa9x24oCst8StIfId6vLpL0OYEPTyWWOKRudDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:45:59.641784Z"},"content_sha256":"f003684ec9e65230c3575485bedea91c7d3b3ab4d8f1b44ac315bd1a791fc9bd","schema_version":"1.0","event_id":"sha256:f003684ec9e65230c3575485bedea91c7d3b3ab4d8f1b44ac315bd1a791fc9bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZJIU6PQHBAUPGB367DC6NVZV7K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Neelam Sinha, Sai Pradeep Chakka, Sunil Kumar Vengalil","submitted_at":"2023-07-15T04:31:28Z","abstract_excerpt":"Timeseries classification as stochastic (noise-like) or non-stochastic (structured), helps understand the underlying dynamics, in several domains. Here we propose a two-legged matrix decomposition-based algorithm utilizing two complementary techniques for classification. In Singular Value Decomposition (SVD) based analysis leg, we perform topological analysis (Betti numbers) on singular vectors containing temporal information, leading to SVD-label. Parallely, temporal-ordering agnostic Principal Component Analysis (PCA) is performed, and the proposed PCA-derived features are computed. These fe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.07703","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/2307.07703/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":"2026-07-05T06:31:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kcbSfItIguRKNdebllUX8jCZsF1pygVZ01pOUqy9hNvpMgj2698c23Wu5D1OiwGCiIwTsdE5mrCdxLcWKT6HAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T19:45:59.642706Z"},"content_sha256":"3ba7d7280df3b9f08073ec47da5bbd5648fdca76747fe645343d9c50f95d5241","schema_version":"1.0","event_id":"sha256:3ba7d7280df3b9f08073ec47da5bbd5648fdca76747fe645343d9c50f95d5241"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZJIU6PQHBAUPGB367DC6NVZV7K/bundle.json","state_url":"https://pith.science/pith/ZJIU6PQHBAUPGB367DC6NVZV7K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZJIU6PQHBAUPGB367DC6NVZV7K/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":"2026-08-15T19:45:59Z","links":{"resolver":"https://pith.science/pith/ZJIU6PQHBAUPGB367DC6NVZV7K","bundle":"https://pith.science/pith/ZJIU6PQHBAUPGB367DC6NVZV7K/bundle.json","state":"https://pith.science/pith/ZJIU6PQHBAUPGB367DC6NVZV7K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZJIU6PQHBAUPGB367DC6NVZV7K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZJIU6PQHBAUPGB367DC6NVZV7K","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":"40a5ed8aa6570036e6e5e5e76b4d6fab83804b2dbf9b547296985cae12e71f2c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-15T04:31:28Z","title_canon_sha256":"c150a1655fd9a3c542411170564d013095f307ccb7bec7a648fab3e2d7f873d2"},"schema_version":"1.0","source":{"id":"2307.07703","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.07703","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"arxiv_version","alias_value":"2307.07703v1","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.07703","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"pith_short_12","alias_value":"ZJIU6PQHBAUP","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"pith_short_16","alias_value":"ZJIU6PQHBAUPGB36","created_at":"2026-07-05T06:31:14Z"},{"alias_kind":"pith_short_8","alias_value":"ZJIU6PQH","created_at":"2026-07-05T06:31:14Z"}],"graph_snapshots":[{"event_id":"sha256:3ba7d7280df3b9f08073ec47da5bbd5648fdca76747fe645343d9c50f95d5241","target":"graph","created_at":"2026-07-05T06:31:14Z","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/2307.07703/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Timeseries classification as stochastic (noise-like) or non-stochastic (structured), helps understand the underlying dynamics, in several domains. Here we propose a two-legged matrix decomposition-based algorithm utilizing two complementary techniques for classification. In Singular Value Decomposition (SVD) based analysis leg, we perform topological analysis (Betti numbers) on singular vectors containing temporal information, leading to SVD-label. Parallely, temporal-ordering agnostic Principal Component Analysis (PCA) is performed, and the proposed PCA-derived features are computed. These fe","authors_text":"Neelam Sinha, Sai Pradeep Chakka, Sunil Kumar Vengalil","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-15T04:31:28Z","title":"Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.07703","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:f003684ec9e65230c3575485bedea91c7d3b3ab4d8f1b44ac315bd1a791fc9bd","target":"record","created_at":"2026-07-05T06:31:14Z","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":"40a5ed8aa6570036e6e5e5e76b4d6fab83804b2dbf9b547296985cae12e71f2c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-15T04:31:28Z","title_canon_sha256":"c150a1655fd9a3c542411170564d013095f307ccb7bec7a648fab3e2d7f873d2"},"schema_version":"1.0","source":{"id":"2307.07703","kind":"arxiv","version":1}},"canonical_sha256":"ca514f3e070828f3077ef8c5e6d735faad1ee3a862ac1e4b6c4fedd4b7309dd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca514f3e070828f3077ef8c5e6d735faad1ee3a862ac1e4b6c4fedd4b7309dd5","first_computed_at":"2026-07-05T06:31:14.861160Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:31:14.861160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5S9aH+STQxYA8PQhLLwHJgFP0fL+/UBbmfkz2Tfxre+52SsLtvRb/lichc0qI1LJe8lRUz/PKkGeKC79YNYiDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:31:14.861577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.07703","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f003684ec9e65230c3575485bedea91c7d3b3ab4d8f1b44ac315bd1a791fc9bd","sha256:3ba7d7280df3b9f08073ec47da5bbd5648fdca76747fe645343d9c50f95d5241"],"state_sha256":"9c9e908b4b9fde09ec98a89653256e2588fb6efcacbc0c9983e49ac5b61c28bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1xkFaZlFSbnOD090+nVPWb3U1S4LX64hnkZ8TVqSa2/EseK4Veyi73J56FWfhk0a2fhv7c9pA9fmGETtmglNBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T19:45:59.648882Z","bundle_sha256":"eb0299b9a28c9706d87d02fd7fa361f751efcdb1985c678a960d6df05bb8ed9a"}}