{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GVBQZZ7WPJ64AM657H64GRYI6O","short_pith_number":"pith:GVBQZZ7W","canonical_record":{"source":{"id":"2502.06543","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T15:09:29Z","cross_cats_sorted":[],"title_canon_sha256":"1537339f54c91303163b963b47c62a1d7b38e820284080527a4dd2d995ddf12b","abstract_canon_sha256":"aa4eed9854e92b0eff1fc149dc19fa4609ae14945eece87dc561e7c78626ab73"},"schema_version":"1.0"},"canonical_sha256":"35430ce7f67a7dc033ddf9fdc34708f38986b417ab4c59bc5776848d62669bd3","source":{"kind":"arxiv","id":"2502.06543","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06543","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06543v1","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06543","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"pith_short_12","alias_value":"GVBQZZ7WPJ64","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"pith_short_16","alias_value":"GVBQZZ7WPJ64AM65","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"pith_short_8","alias_value":"GVBQZZ7W","created_at":"2026-07-05T10:12:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GVBQZZ7WPJ64AM657H64GRYI6O","target":"record","payload":{"canonical_record":{"source":{"id":"2502.06543","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T15:09:29Z","cross_cats_sorted":[],"title_canon_sha256":"1537339f54c91303163b963b47c62a1d7b38e820284080527a4dd2d995ddf12b","abstract_canon_sha256":"aa4eed9854e92b0eff1fc149dc19fa4609ae14945eece87dc561e7c78626ab73"},"schema_version":"1.0"},"canonical_sha256":"35430ce7f67a7dc033ddf9fdc34708f38986b417ab4c59bc5776848d62669bd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:08.241783Z","signature_b64":"t/fuTANDcaNN/RjxjQbpq3zFG4ke5R4JE5Q3IRqlQa2nfK3JJkW9tiuq1ih4nnl+COHGKEHTCTOzeDoq4Dn4AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35430ce7f67a7dc033ddf9fdc34708f38986b417ab4c59bc5776848d62669bd3","last_reissued_at":"2026-07-05T10:12:08.241258Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:08.241258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.06543","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":"2026-07-05T10:12:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HxdpS3QGIzmj24Z3NpbjZIqH7/2YkiY3rWrkKl9F7Xe6UUMz7/XMOJKtr15PpyIkYdGDeHUWCC7WrmK4ZharDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T14:51:24.241438Z"},"content_sha256":"09387c2ff99b0cc74e87fa7cf648bfecb59ed64f7e332d3dccdd0c5365c77d76","schema_version":"1.0","event_id":"sha256:09387c2ff99b0cc74e87fa7cf648bfecb59ed64f7e332d3dccdd0c5365c77d76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GVBQZZ7WPJ64AM657H64GRYI6O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ina Laube, Johannes Stegmaier, Zhu Chen","submitted_at":"2025-02-10T15:09:29Z","abstract_excerpt":"Zebrafish are widely used in biomedical research and developmental stages of their embryos often need to be synchronized for further analysis. We present an unsupervised approach to extract descriptive features from 3D+t point clouds of zebrafish embryos and subsequently use those features to temporally align corresponding developmental stages. An autoencoder architecture is proposed to learn a descriptive representation of the point clouds and we designed a deep regression network for their temporal alignment. We achieve a high alignment accuracy with an average mismatch of only 3.83 minutes "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06543","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/2502.06543/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":"2026-07-05T10:12:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rh9yJjzgkam7keKZSn2HzJy0BPyAxkChH7b6rLN11ZqBohKeugxuB9M81Q6ioxDKCaIm1yeoaShcNUQ0nJFLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T14:51:24.242368Z"},"content_sha256":"ef91b6d9bc9774f3f081056e0b790045cfde5d7511258a15b8f0585e7cd92353","schema_version":"1.0","event_id":"sha256:ef91b6d9bc9774f3f081056e0b790045cfde5d7511258a15b8f0585e7cd92353"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GVBQZZ7WPJ64AM657H64GRYI6O/bundle.json","state_url":"https://pith.science/pith/GVBQZZ7WPJ64AM657H64GRYI6O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GVBQZZ7WPJ64AM657H64GRYI6O/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":"2026-08-03T14:51:24Z","links":{"resolver":"https://pith.science/pith/GVBQZZ7WPJ64AM657H64GRYI6O","bundle":"https://pith.science/pith/GVBQZZ7WPJ64AM657H64GRYI6O/bundle.json","state":"https://pith.science/pith/GVBQZZ7WPJ64AM657H64GRYI6O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GVBQZZ7WPJ64AM657H64GRYI6O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GVBQZZ7WPJ64AM657H64GRYI6O","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":"aa4eed9854e92b0eff1fc149dc19fa4609ae14945eece87dc561e7c78626ab73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T15:09:29Z","title_canon_sha256":"1537339f54c91303163b963b47c62a1d7b38e820284080527a4dd2d995ddf12b"},"schema_version":"1.0","source":{"id":"2502.06543","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06543","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06543v1","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06543","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"pith_short_12","alias_value":"GVBQZZ7WPJ64","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"pith_short_16","alias_value":"GVBQZZ7WPJ64AM65","created_at":"2026-07-05T10:12:08Z"},{"alias_kind":"pith_short_8","alias_value":"GVBQZZ7W","created_at":"2026-07-05T10:12:08Z"}],"graph_snapshots":[{"event_id":"sha256:ef91b6d9bc9774f3f081056e0b790045cfde5d7511258a15b8f0585e7cd92353","target":"graph","created_at":"2026-07-05T10:12:08Z","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/2502.06543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Zebrafish are widely used in biomedical research and developmental stages of their embryos often need to be synchronized for further analysis. We present an unsupervised approach to extract descriptive features from 3D+t point clouds of zebrafish embryos and subsequently use those features to temporally align corresponding developmental stages. An autoencoder architecture is proposed to learn a descriptive representation of the point clouds and we designed a deep regression network for their temporal alignment. We achieve a high alignment accuracy with an average mismatch of only 3.83 minutes ","authors_text":"Ina Laube, Johannes Stegmaier, Zhu Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T15:09:29Z","title":"Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06543","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":"sha256:09387c2ff99b0cc74e87fa7cf648bfecb59ed64f7e332d3dccdd0c5365c77d76","target":"record","created_at":"2026-07-05T10:12:08Z","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":"aa4eed9854e92b0eff1fc149dc19fa4609ae14945eece87dc561e7c78626ab73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T15:09:29Z","title_canon_sha256":"1537339f54c91303163b963b47c62a1d7b38e820284080527a4dd2d995ddf12b"},"schema_version":"1.0","source":{"id":"2502.06543","kind":"arxiv","version":1}},"canonical_sha256":"35430ce7f67a7dc033ddf9fdc34708f38986b417ab4c59bc5776848d62669bd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35430ce7f67a7dc033ddf9fdc34708f38986b417ab4c59bc5776848d62669bd3","first_computed_at":"2026-07-05T10:12:08.241258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:08.241258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t/fuTANDcaNN/RjxjQbpq3zFG4ke5R4JE5Q3IRqlQa2nfK3JJkW9tiuq1ih4nnl+COHGKEHTCTOzeDoq4Dn4AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:08.241783Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06543","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09387c2ff99b0cc74e87fa7cf648bfecb59ed64f7e332d3dccdd0c5365c77d76","sha256:ef91b6d9bc9774f3f081056e0b790045cfde5d7511258a15b8f0585e7cd92353"],"state_sha256":"463ba859fcc0f5dfb147e19239417001ac35c533159d2cc140d6e9e38c8bdb15"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FXJS6TDtUSf8dcEZER6YbVV8j+dy8tTgBlNgGrwnVk/uj/MLhLt5A56MPSynG5Asd7JytgY0gHNWio1p1TC7DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T14:51:24.265932Z","bundle_sha256":"0847cd6ece9915a2685ad38a8f3d7c4d482b7e15b73a514ad80f5e4a304cde79"}}