{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BTOBDFXXHGN32A73RJ3FNSDEEC","short_pith_number":"pith:BTOBDFXX","canonical_record":{"source":{"id":"2409.02079","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-03T17:26:50Z","cross_cats_sorted":[],"title_canon_sha256":"b8fdc30594a7ba94696fa36530828288d8ff58e658691633fc1c843a5013280a","abstract_canon_sha256":"3858883d6174f9471bf1b02fdcfbac17b225818945eb49379f8030547205c45e"},"schema_version":"1.0"},"canonical_sha256":"0cdc1196f7399bbd03fb8a7656c86420b63736646e2fcec0a27356a66149bb91","source":{"kind":"arxiv","id":"2409.02079","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.02079","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.02079v1","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.02079","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"pith_short_12","alias_value":"BTOBDFXXHGN3","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"pith_short_16","alias_value":"BTOBDFXXHGN32A73","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"pith_short_8","alias_value":"BTOBDFXX","created_at":"2026-07-05T11:04:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BTOBDFXXHGN32A73RJ3FNSDEEC","target":"record","payload":{"canonical_record":{"source":{"id":"2409.02079","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-03T17:26:50Z","cross_cats_sorted":[],"title_canon_sha256":"b8fdc30594a7ba94696fa36530828288d8ff58e658691633fc1c843a5013280a","abstract_canon_sha256":"3858883d6174f9471bf1b02fdcfbac17b225818945eb49379f8030547205c45e"},"schema_version":"1.0"},"canonical_sha256":"0cdc1196f7399bbd03fb8a7656c86420b63736646e2fcec0a27356a66149bb91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:04:18.406130Z","signature_b64":"2Xhfa0BsskHvs0Mpxxh2+M5uik+4jgCfMhcMjEHnGFEDoWjWPki8D2OkFovJ3iZYGHiwZijyPnVKRjMVW9a6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cdc1196f7399bbd03fb8a7656c86420b63736646e2fcec0a27356a66149bb91","last_reissued_at":"2026-07-05T11:04:18.405583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:04:18.405583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.02079","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":"2026-07-05T11:04:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GScg3ra24Ha+CLdMuCnAT3ByclyHNxbUz0KRrjFABnDb9zb5n1EkP4I0oTX5sxRtElel+hDZVpO3dAmaGx6pCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:02:47.715277Z"},"content_sha256":"0a615e622a8839faaccb100c88b2c46fc67edcfcb2312669211d93545746cab1","schema_version":"1.0","event_id":"sha256:0a615e622a8839faaccb100c88b2c46fc67edcfcb2312669211d93545746cab1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BTOBDFXXHGN32A73RJ3FNSDEEC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alice Williams, Boris Kovalerchuk","submitted_at":"2024-09-03T17:26:50Z","abstract_excerpt":"Insufficient amounts of available training data is a critical challenge for both development and deployment of artificial intelligence and machine learning (AI/ML) models. This paper proposes a unified approach to both synthetic data generation (SDG) and automated data labeling (ADL) with a unified SDG-ADL algorithm. SDG-ADL uses multidimensional (n-D) representations of data visualized losslessly with General Line Coordinates (GLCs), relying on reversible GLC properties to visualize n-D data in multiple GLCs. This paper demonstrates use of the new Circular Coordinates in Static and Dynamic fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.02079","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/2409.02079/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":"2026-07-05T11:04:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"unS0excT6osoj5yrHwGvV+e+/cSBWVPoZ6NzaRwGe4aBqyjvfhZbORnRc+ho9ZSpodPHPlv1IF8hTsEY9aDJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:02:47.715670Z"},"content_sha256":"9c80162e4e7e9ecc52d98761d11f6288ab221fe2eab0fcf5e4447374d58ba95a","schema_version":"1.0","event_id":"sha256:9c80162e4e7e9ecc52d98761d11f6288ab221fe2eab0fcf5e4447374d58ba95a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BTOBDFXXHGN32A73RJ3FNSDEEC/bundle.json","state_url":"https://pith.science/pith/BTOBDFXXHGN32A73RJ3FNSDEEC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BTOBDFXXHGN32A73RJ3FNSDEEC/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":"2026-07-07T08:02:47Z","links":{"resolver":"https://pith.science/pith/BTOBDFXXHGN32A73RJ3FNSDEEC","bundle":"https://pith.science/pith/BTOBDFXXHGN32A73RJ3FNSDEEC/bundle.json","state":"https://pith.science/pith/BTOBDFXXHGN32A73RJ3FNSDEEC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BTOBDFXXHGN32A73RJ3FNSDEEC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BTOBDFXXHGN32A73RJ3FNSDEEC","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":"3858883d6174f9471bf1b02fdcfbac17b225818945eb49379f8030547205c45e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-03T17:26:50Z","title_canon_sha256":"b8fdc30594a7ba94696fa36530828288d8ff58e658691633fc1c843a5013280a"},"schema_version":"1.0","source":{"id":"2409.02079","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.02079","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.02079v1","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.02079","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"pith_short_12","alias_value":"BTOBDFXXHGN3","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"pith_short_16","alias_value":"BTOBDFXXHGN32A73","created_at":"2026-07-05T11:04:18Z"},{"alias_kind":"pith_short_8","alias_value":"BTOBDFXX","created_at":"2026-07-05T11:04:18Z"}],"graph_snapshots":[{"event_id":"sha256:9c80162e4e7e9ecc52d98761d11f6288ab221fe2eab0fcf5e4447374d58ba95a","target":"graph","created_at":"2026-07-05T11:04:18Z","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/2409.02079/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Insufficient amounts of available training data is a critical challenge for both development and deployment of artificial intelligence and machine learning (AI/ML) models. This paper proposes a unified approach to both synthetic data generation (SDG) and automated data labeling (ADL) with a unified SDG-ADL algorithm. SDG-ADL uses multidimensional (n-D) representations of data visualized losslessly with General Line Coordinates (GLCs), relying on reversible GLC properties to visualize n-D data in multiple GLCs. This paper demonstrates use of the new Circular Coordinates in Static and Dynamic fo","authors_text":"Alice Williams, Boris Kovalerchuk","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-03T17:26:50Z","title":"Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.02079","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":"sha256:0a615e622a8839faaccb100c88b2c46fc67edcfcb2312669211d93545746cab1","target":"record","created_at":"2026-07-05T11:04:18Z","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":"3858883d6174f9471bf1b02fdcfbac17b225818945eb49379f8030547205c45e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-03T17:26:50Z","title_canon_sha256":"b8fdc30594a7ba94696fa36530828288d8ff58e658691633fc1c843a5013280a"},"schema_version":"1.0","source":{"id":"2409.02079","kind":"arxiv","version":1}},"canonical_sha256":"0cdc1196f7399bbd03fb8a7656c86420b63736646e2fcec0a27356a66149bb91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cdc1196f7399bbd03fb8a7656c86420b63736646e2fcec0a27356a66149bb91","first_computed_at":"2026-07-05T11:04:18.405583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:18.405583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2Xhfa0BsskHvs0Mpxxh2+M5uik+4jgCfMhcMjEHnGFEDoWjWPki8D2OkFovJ3iZYGHiwZijyPnVKRjMVW9a6Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:18.406130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.02079","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0a615e622a8839faaccb100c88b2c46fc67edcfcb2312669211d93545746cab1","sha256:9c80162e4e7e9ecc52d98761d11f6288ab221fe2eab0fcf5e4447374d58ba95a"],"state_sha256":"0a43af828e1108b5733e1c53982be2917ff6d296e784ac9cb4d47a05caaeb920"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yHYipEklg14U3CZyjk2JVR3ryEOZ9DXUPTMakWjumeA7DAsVqKd0CNm4A10KH/orbphSaFP7LQ1HWe8tan8sAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:02:47.717953Z","bundle_sha256":"8de3872b5d914577a6a86e3b02cb9ca334d9d73c616215964b7b4bc60fd94875"}}