{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OH7Y3546445RWFLAOURMNI7TLQ","short_pith_number":"pith:OH7Y3546","canonical_record":{"source":{"id":"2310.10689","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-10-14T17:53:44Z","cross_cats_sorted":[],"title_canon_sha256":"a52c7dfcd74959352dca3eb93209c40db839546ad05c55e2a4c8a77099264b9f","abstract_canon_sha256":"9b4474fb11408a5910ab1350a8c5177a94759bdb0429003ec4c98665eb9d3d60"},"schema_version":"1.0"},"canonical_sha256":"71ff8df79ee73b1b15607522c6a3f35c09bd1f10cc54006930b91e1d4f313e75","source":{"kind":"arxiv","id":"2310.10689","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10689","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10689v1","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10689","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"pith_short_12","alias_value":"OH7Y3546445R","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"pith_short_16","alias_value":"OH7Y3546445RWFLA","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"pith_short_8","alias_value":"OH7Y3546","created_at":"2026-07-05T07:01:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OH7Y3546445RWFLAOURMNI7TLQ","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10689","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-10-14T17:53:44Z","cross_cats_sorted":[],"title_canon_sha256":"a52c7dfcd74959352dca3eb93209c40db839546ad05c55e2a4c8a77099264b9f","abstract_canon_sha256":"9b4474fb11408a5910ab1350a8c5177a94759bdb0429003ec4c98665eb9d3d60"},"schema_version":"1.0"},"canonical_sha256":"71ff8df79ee73b1b15607522c6a3f35c09bd1f10cc54006930b91e1d4f313e75","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:26.646347Z","signature_b64":"KqhkAoc8aeT64LaWXS2t0WGme0qb6ao4bMeBCEQ0kbynT3G3P4vEQ/P1kGluAMWCeXYkd4h0p1wWu1QVk3myBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71ff8df79ee73b1b15607522c6a3f35c09bd1f10cc54006930b91e1d4f313e75","last_reissued_at":"2026-07-05T07:01:26.645853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:26.645853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10689","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":"2026-07-05T07:01:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0i50pSvCwpgumjrP9It+t5fy6PPSNEnRb+oMSnFiB5JVpFqZiTPL8eGQoy3G6Ipyi/m4zme3j+ovlNWhV0geDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:37:41.732134Z"},"content_sha256":"a0d16841b42f64c8e8f77302eb2859fb2a1808383b59fb24c1158628a4d4a33c","schema_version":"1.0","event_id":"sha256:a0d16841b42f64c8e8f77302eb2859fb2a1808383b59fb24c1158628a4d4a33c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OH7Y3546445RWFLAOURMNI7TLQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Almaz Dessie, Alvin Chen, Andrew Hersh, Balasundar Raju, Bo Shopsin, Courosh Mehanian, Cristian Madar, Cynthia R Gregory, David O Kessler, Di Coneybeare, Jacob Avila, Jeffrey Shupp, Jiahong Ouyang, Jochen Kruecker, Jonathan Rubin, Joni Rabiner, Kenton W Gregory, Kristin Dwyer, Laura S Johnson, Laurie Malia, Li Chen, Meihua Zhu, Naveen Balaraju, Peter Weimersheimer, Rachel Millin, Shubham Patil, Sourabh Kulhare","submitted_at":"2023-10-14T17:53:44Z","abstract_excerpt":"Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is limited. Here, we extend state-of-the-art contrastive learning SSL methods to 2D+time medical ultrasound video data by introducing a modified encoder and augmentation method capable of learning meaningful spatio-temporal representations, without requiring constraints on the input data. We evaluate our method on the challenging clinical task of identifying lung consolidations (an important pathological feature) in ultra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10689","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/2310.10689/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":"2026-07-05T07:01:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9UbHr2YvkgtXaBvLXrj8AWKrZlDqUY1Q2rRkEsiAa6ILkSkp4G7bEpBZ0hDPgiDHiwMUmWbrm48SACgkFVWUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:37:41.732526Z"},"content_sha256":"e0ad599aade4ac901ef2a855e53e743428de6ee7657513109b06b994464bf84c","schema_version":"1.0","event_id":"sha256:e0ad599aade4ac901ef2a855e53e743428de6ee7657513109b06b994464bf84c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OH7Y3546445RWFLAOURMNI7TLQ/bundle.json","state_url":"https://pith.science/pith/OH7Y3546445RWFLAOURMNI7TLQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OH7Y3546445RWFLAOURMNI7TLQ/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":"2026-07-07T12:37:41Z","links":{"resolver":"https://pith.science/pith/OH7Y3546445RWFLAOURMNI7TLQ","bundle":"https://pith.science/pith/OH7Y3546445RWFLAOURMNI7TLQ/bundle.json","state":"https://pith.science/pith/OH7Y3546445RWFLAOURMNI7TLQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OH7Y3546445RWFLAOURMNI7TLQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OH7Y3546445RWFLAOURMNI7TLQ","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":"9b4474fb11408a5910ab1350a8c5177a94759bdb0429003ec4c98665eb9d3d60","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-10-14T17:53:44Z","title_canon_sha256":"a52c7dfcd74959352dca3eb93209c40db839546ad05c55e2a4c8a77099264b9f"},"schema_version":"1.0","source":{"id":"2310.10689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10689","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10689v1","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10689","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"pith_short_12","alias_value":"OH7Y3546445R","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"pith_short_16","alias_value":"OH7Y3546445RWFLA","created_at":"2026-07-05T07:01:26Z"},{"alias_kind":"pith_short_8","alias_value":"OH7Y3546","created_at":"2026-07-05T07:01:26Z"}],"graph_snapshots":[{"event_id":"sha256:e0ad599aade4ac901ef2a855e53e743428de6ee7657513109b06b994464bf84c","target":"graph","created_at":"2026-07-05T07:01:26Z","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/2310.10689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is limited. Here, we extend state-of-the-art contrastive learning SSL methods to 2D+time medical ultrasound video data by introducing a modified encoder and augmentation method capable of learning meaningful spatio-temporal representations, without requiring constraints on the input data. We evaluate our method on the challenging clinical task of identifying lung consolidations (an important pathological feature) in ultra","authors_text":"Almaz Dessie, Alvin Chen, Andrew Hersh, Balasundar Raju, Bo Shopsin, Courosh Mehanian, Cristian Madar, Cynthia R Gregory, David O Kessler, Di Coneybeare, Jacob Avila, Jeffrey Shupp, Jiahong Ouyang, Jochen Kruecker, Jonathan Rubin, Joni Rabiner, Kenton W Gregory, Kristin Dwyer, Laura S Johnson, Laurie Malia, Li Chen, Meihua Zhu, Naveen Balaraju, Peter Weimersheimer, Rachel Millin, Shubham Patil, Sourabh Kulhare","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-10-14T17:53:44Z","title":"Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10689","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:a0d16841b42f64c8e8f77302eb2859fb2a1808383b59fb24c1158628a4d4a33c","target":"record","created_at":"2026-07-05T07:01:26Z","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":"9b4474fb11408a5910ab1350a8c5177a94759bdb0429003ec4c98665eb9d3d60","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-10-14T17:53:44Z","title_canon_sha256":"a52c7dfcd74959352dca3eb93209c40db839546ad05c55e2a4c8a77099264b9f"},"schema_version":"1.0","source":{"id":"2310.10689","kind":"arxiv","version":1}},"canonical_sha256":"71ff8df79ee73b1b15607522c6a3f35c09bd1f10cc54006930b91e1d4f313e75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71ff8df79ee73b1b15607522c6a3f35c09bd1f10cc54006930b91e1d4f313e75","first_computed_at":"2026-07-05T07:01:26.645853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:26.645853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KqhkAoc8aeT64LaWXS2t0WGme0qb6ao4bMeBCEQ0kbynT3G3P4vEQ/P1kGluAMWCeXYkd4h0p1wWu1QVk3myBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:26.646347Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0d16841b42f64c8e8f77302eb2859fb2a1808383b59fb24c1158628a4d4a33c","sha256:e0ad599aade4ac901ef2a855e53e743428de6ee7657513109b06b994464bf84c"],"state_sha256":"370012d0960816724cc9dbb2b2bc14d02ce5433335a105cd0b3312458877b648"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PlFrVng00ip8Glcqv7KQ+K0KSO7nse8hsXjbghQ2caW+LEC7mUGsTNe0eeYhcNEXe5Ij7DFecG08I3d+bWv5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:37:41.734484Z","bundle_sha256":"ea25e886eb0f68f929997d34f91d9570c4e772c4833934840893fb68763b4b1c"}}