{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:N6GWESM2P3DGT5HJK74AHVM3GQ","short_pith_number":"pith:N6GWESM2","canonical_record":{"source":{"id":"2405.16453","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-26T06:52:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3d3b162d509887baaf709f15e8c4a7bf2c208314c49e0235cdaa2fc0a78f36f","abstract_canon_sha256":"57cb6f769b523cb9eb8ac7dbe414b7d4d110accf67d15aaec3d55e1490e0445b"},"schema_version":"1.0"},"canonical_sha256":"6f8d62499a7ec669f4e957f803d59b3423e3545229ea97fb161a03fed1608141","source":{"kind":"arxiv","id":"2405.16453","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16453","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16453v1","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16453","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"pith_short_12","alias_value":"N6GWESM2P3DG","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"pith_short_16","alias_value":"N6GWESM2P3DGT5HJ","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"pith_short_8","alias_value":"N6GWESM2","created_at":"2026-07-05T08:23:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:N6GWESM2P3DGT5HJK74AHVM3GQ","target":"record","payload":{"canonical_record":{"source":{"id":"2405.16453","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-26T06:52:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3d3b162d509887baaf709f15e8c4a7bf2c208314c49e0235cdaa2fc0a78f36f","abstract_canon_sha256":"57cb6f769b523cb9eb8ac7dbe414b7d4d110accf67d15aaec3d55e1490e0445b"},"schema_version":"1.0"},"canonical_sha256":"6f8d62499a7ec669f4e957f803d59b3423e3545229ea97fb161a03fed1608141","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:30.603204Z","signature_b64":"nim8dxRiEfyvr4bwGoKZIhzQI0BnS/vY5r9gog1o6RZVdWoMEMXiBET5JuY2R4sThv92/3LByYST20BiEY7JCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f8d62499a7ec669f4e957f803d59b3423e3545229ea97fb161a03fed1608141","last_reissued_at":"2026-07-05T08:23:30.602634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:30.602634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.16453","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":"2026-07-05T08:23:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CR+agcubnbll9iQbppD57lt/j+/mCdvBxGNeCMb2c8FkCNFZ3hzAohRpDjvg4dxvulP0/UyVVsSae69pNhu8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:33:34.976493Z"},"content_sha256":"40dd620ac226ea3e00f22c775aa63b50a962a3b21d21aaa94a1e2b36d9add101","schema_version":"1.0","event_id":"sha256:40dd620ac226ea3e00f22c775aa63b50a962a3b21d21aaa94a1e2b36d9add101"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:N6GWESM2P3DGT5HJK74AHVM3GQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Michael Kaess, Moshe Shienman, Ohad Levy-Or, Vadim Indelman","submitted_at":"2024-05-26T06:52:56Z","abstract_excerpt":"We introduce an innovative method for incremental nonparametric probabilistic inference in high-dimensional state spaces. Our approach leverages \\slices from high-dimensional surfaces to efficiently approximate posterior distributions of any shape. Unlike many existing graph-based methods, our \\slices perspective eliminates the need for additional intermediate reconstructions, maintaining a more accurate representation of posterior distributions. Additionally, we propose a novel heuristic to balance between accuracy and efficiency, enabling real-time operation in nonparametric scenarios. In em"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16453","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/2405.16453/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":"2026-07-05T08:23:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T/iacp38SDwKigmR9iqmwao8Kdk+MHfOWHvwbo+6rPrYJL6ainUoKBu6o2CYJMUKODEPBRM2Hfoh3F3kWpumBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:33:34.977456Z"},"content_sha256":"ebf04032639298f2abcf16401ccdb126d209c247300bd2099ff94ba5ca23c49c","schema_version":"1.0","event_id":"sha256:ebf04032639298f2abcf16401ccdb126d209c247300bd2099ff94ba5ca23c49c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N6GWESM2P3DGT5HJK74AHVM3GQ/bundle.json","state_url":"https://pith.science/pith/N6GWESM2P3DGT5HJK74AHVM3GQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N6GWESM2P3DGT5HJK74AHVM3GQ/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":"2026-08-03T20:33:34Z","links":{"resolver":"https://pith.science/pith/N6GWESM2P3DGT5HJK74AHVM3GQ","bundle":"https://pith.science/pith/N6GWESM2P3DGT5HJK74AHVM3GQ/bundle.json","state":"https://pith.science/pith/N6GWESM2P3DGT5HJK74AHVM3GQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N6GWESM2P3DGT5HJK74AHVM3GQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:N6GWESM2P3DGT5HJK74AHVM3GQ","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":"57cb6f769b523cb9eb8ac7dbe414b7d4d110accf67d15aaec3d55e1490e0445b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-26T06:52:56Z","title_canon_sha256":"c3d3b162d509887baaf709f15e8c4a7bf2c208314c49e0235cdaa2fc0a78f36f"},"schema_version":"1.0","source":{"id":"2405.16453","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16453","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16453v1","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16453","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"pith_short_12","alias_value":"N6GWESM2P3DG","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"pith_short_16","alias_value":"N6GWESM2P3DGT5HJ","created_at":"2026-07-05T08:23:30Z"},{"alias_kind":"pith_short_8","alias_value":"N6GWESM2","created_at":"2026-07-05T08:23:30Z"}],"graph_snapshots":[{"event_id":"sha256:ebf04032639298f2abcf16401ccdb126d209c247300bd2099ff94ba5ca23c49c","target":"graph","created_at":"2026-07-05T08:23:30Z","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/2405.16453/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce an innovative method for incremental nonparametric probabilistic inference in high-dimensional state spaces. Our approach leverages \\slices from high-dimensional surfaces to efficiently approximate posterior distributions of any shape. Unlike many existing graph-based methods, our \\slices perspective eliminates the need for additional intermediate reconstructions, maintaining a more accurate representation of posterior distributions. Additionally, we propose a novel heuristic to balance between accuracy and efficiency, enabling real-time operation in nonparametric scenarios. In em","authors_text":"Michael Kaess, Moshe Shienman, Ohad Levy-Or, Vadim Indelman","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-26T06:52:56Z","title":"A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16453","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":"sha256:40dd620ac226ea3e00f22c775aa63b50a962a3b21d21aaa94a1e2b36d9add101","target":"record","created_at":"2026-07-05T08:23:30Z","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":"57cb6f769b523cb9eb8ac7dbe414b7d4d110accf67d15aaec3d55e1490e0445b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-05-26T06:52:56Z","title_canon_sha256":"c3d3b162d509887baaf709f15e8c4a7bf2c208314c49e0235cdaa2fc0a78f36f"},"schema_version":"1.0","source":{"id":"2405.16453","kind":"arxiv","version":1}},"canonical_sha256":"6f8d62499a7ec669f4e957f803d59b3423e3545229ea97fb161a03fed1608141","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f8d62499a7ec669f4e957f803d59b3423e3545229ea97fb161a03fed1608141","first_computed_at":"2026-07-05T08:23:30.602634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:30.602634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nim8dxRiEfyvr4bwGoKZIhzQI0BnS/vY5r9gog1o6RZVdWoMEMXiBET5JuY2R4sThv92/3LByYST20BiEY7JCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:30.603204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16453","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40dd620ac226ea3e00f22c775aa63b50a962a3b21d21aaa94a1e2b36d9add101","sha256:ebf04032639298f2abcf16401ccdb126d209c247300bd2099ff94ba5ca23c49c"],"state_sha256":"b28a667b6112255723872b515de86db68570203ceec82edfd4179bf7093b987b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VtjYDOLR3nW9HrrCrysAZ1UXEU5DbVJIYzOzgbMWCNyGV8FDJTxgZ7FAkIDVJOUWLotIZGZyqGavjo9yTrMADw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:33:34.984267Z","bundle_sha256":"096cb95b72162c68afc196d08064762849f8fb57967875cf169f2f5e7a322b16"}}