{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZCZIZMZJIXWP5XFBARW5AX7J7R","short_pith_number":"pith:ZCZIZMZJ","canonical_record":{"source":{"id":"2303.04871","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-03-08T20:24:25Z","cross_cats_sorted":[],"title_canon_sha256":"31d16bfdf5206052be083e8c0790e2d408bb2096212fb35105d85d74af8a495c","abstract_canon_sha256":"484d94d52678bb63ee20ecee98d1002939f6f82892ea25f20dcbb30993f6d084"},"schema_version":"1.0"},"canonical_sha256":"c8b28cb32945ecfedca1046dd05fe9fc546fb3934d3762028c80cf36a842874d","source":{"kind":"arxiv","id":"2303.04871","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.04871","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"arxiv_version","alias_value":"2303.04871v2","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.04871","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZCZIZMZJIXWP","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZCZIZMZJIXWP5XFB","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZCZIZMZJ","created_at":"2026-07-05T11:07:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZCZIZMZJIXWP5XFBARW5AX7J7R","target":"record","payload":{"canonical_record":{"source":{"id":"2303.04871","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-03-08T20:24:25Z","cross_cats_sorted":[],"title_canon_sha256":"31d16bfdf5206052be083e8c0790e2d408bb2096212fb35105d85d74af8a495c","abstract_canon_sha256":"484d94d52678bb63ee20ecee98d1002939f6f82892ea25f20dcbb30993f6d084"},"schema_version":"1.0"},"canonical_sha256":"c8b28cb32945ecfedca1046dd05fe9fc546fb3934d3762028c80cf36a842874d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:55.324167Z","signature_b64":"3t+mjiXdw8XJGq+dfvdYXbqKc8LPLk3tcbtdZd5gLcXmTXbY2dZXPBcOaCenSd518OAd6lLV/Uahr89OMiOrCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c8b28cb32945ecfedca1046dd05fe9fc546fb3934d3762028c80cf36a842874d","last_reissued_at":"2026-07-05T11:07:55.323633Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:55.323633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.04871","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:07:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EOJjxuJgWv6CUyhZRd+tgzF5sEQaDhRd+dkR2tSHcz8BAPS2VEnL7ij1z2NuDGH8+ydxGPTGrayNe3sfo+KBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T09:06:52.033836Z"},"content_sha256":"1bb4fe59e4af6a685916f1620391700cb2f2ffabcdc58fcbd365215da10c3bb2","schema_version":"1.0","event_id":"sha256:1bb4fe59e4af6a685916f1620391700cb2f2ffabcdc58fcbd365215da10c3bb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZCZIZMZJIXWP5XFBARW5AX7J7R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Ali Saad-Eldin, Alysson R. Muotri, Avanti Athreya, Benjamin D. Pedigo, Carey E. Priebe, Christopher M. White, Francesca Puppo, Gabriel A. Silva, Joshua T. Vogelstein, Tianyi Chen, Weiwei Yang, Youngser Park, Zachary Lubberts","submitted_at":"2023-03-08T20:24:25Z","abstract_excerpt":"Recent advancements have been made in the development of cell-based in-vitro neuronal networks, or organoids. In order to better understand the network structure of these organoids, a super-selective algorithm has been proposed for inferring the effective connectivity networks from multi-electrode array data. In this paper, we apply a novel statistical method called spectral mirror estimation to the time series of inferred effective connectivity organoid networks. This method produces a one-dimensional iso-mirror representation of the dynamics of the time series of the networks which exhibits "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.04871","kind":"arxiv","version":2},"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/2303.04871/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":"2026-07-05T11:07:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YGssoj546jw1g3ejyDcoUXTKk2yKY06UHk68qtXIwTSpvskJBVbRh+MAG6I7qBVmW2QMCOWgr7bL66Su0mB/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T09:06:52.034195Z"},"content_sha256":"60c52f8b7e9b54305cc3042c3107cb40d03204753ef2cc709ce9b7f395837371","schema_version":"1.0","event_id":"sha256:60c52f8b7e9b54305cc3042c3107cb40d03204753ef2cc709ce9b7f395837371"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R/bundle.json","state_url":"https://pith.science/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R/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":"2026-07-20T09:06:52Z","links":{"resolver":"https://pith.science/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R","bundle":"https://pith.science/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R/bundle.json","state":"https://pith.science/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZCZIZMZJIXWP5XFBARW5AX7J7R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZCZIZMZJIXWP5XFBARW5AX7J7R","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":"484d94d52678bb63ee20ecee98d1002939f6f82892ea25f20dcbb30993f6d084","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-03-08T20:24:25Z","title_canon_sha256":"31d16bfdf5206052be083e8c0790e2d408bb2096212fb35105d85d74af8a495c"},"schema_version":"1.0","source":{"id":"2303.04871","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.04871","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"arxiv_version","alias_value":"2303.04871v2","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.04871","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZCZIZMZJIXWP","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZCZIZMZJIXWP5XFB","created_at":"2026-07-05T11:07:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZCZIZMZJ","created_at":"2026-07-05T11:07:55Z"}],"graph_snapshots":[{"event_id":"sha256:60c52f8b7e9b54305cc3042c3107cb40d03204753ef2cc709ce9b7f395837371","target":"graph","created_at":"2026-07-05T11:07:55Z","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/2303.04871/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements have been made in the development of cell-based in-vitro neuronal networks, or organoids. In order to better understand the network structure of these organoids, a super-selective algorithm has been proposed for inferring the effective connectivity networks from multi-electrode array data. In this paper, we apply a novel statistical method called spectral mirror estimation to the time series of inferred effective connectivity organoid networks. This method produces a one-dimensional iso-mirror representation of the dynamics of the time series of the networks which exhibits ","authors_text":"Ali Saad-Eldin, Alysson R. Muotri, Avanti Athreya, Benjamin D. Pedigo, Carey E. Priebe, Christopher M. White, Francesca Puppo, Gabriel A. Silva, Joshua T. Vogelstein, Tianyi Chen, Weiwei Yang, Youngser Park, Zachary Lubberts","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-03-08T20:24:25Z","title":"Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.04871","kind":"arxiv","version":2},"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":"sha256:1bb4fe59e4af6a685916f1620391700cb2f2ffabcdc58fcbd365215da10c3bb2","target":"record","created_at":"2026-07-05T11:07:55Z","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":"484d94d52678bb63ee20ecee98d1002939f6f82892ea25f20dcbb30993f6d084","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-03-08T20:24:25Z","title_canon_sha256":"31d16bfdf5206052be083e8c0790e2d408bb2096212fb35105d85d74af8a495c"},"schema_version":"1.0","source":{"id":"2303.04871","kind":"arxiv","version":2}},"canonical_sha256":"c8b28cb32945ecfedca1046dd05fe9fc546fb3934d3762028c80cf36a842874d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8b28cb32945ecfedca1046dd05fe9fc546fb3934d3762028c80cf36a842874d","first_computed_at":"2026-07-05T11:07:55.323633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:55.323633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3t+mjiXdw8XJGq+dfvdYXbqKc8LPLk3tcbtdZd5gLcXmTXbY2dZXPBcOaCenSd518OAd6lLV/Uahr89OMiOrCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:55.324167Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.04871","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bb4fe59e4af6a685916f1620391700cb2f2ffabcdc58fcbd365215da10c3bb2","sha256:60c52f8b7e9b54305cc3042c3107cb40d03204753ef2cc709ce9b7f395837371"],"state_sha256":"5c2d1619746804c3bbd1e6646c817108b54fdc2b46fc3dddfbfce2d79fabe33a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q4roztF95dhmCGfv8AGHvLKgSz7H2l5HOyj0heVcow90R8ARn4n4PGUprt4DdUpOdwc5HIPFtblO94fHcE7jAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-20T09:06:52.036610Z","bundle_sha256":"72a1b69d23e2bb11e187adb8391613a32b566492a96fc058f3d56648adbd9a78"}}