{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:C6DZTABOQQK2MVJFRYAA4DD5HK","short_pith_number":"pith:C6DZTABO","canonical_record":{"source":{"id":"2406.00907","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T00:30:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3eda5344e5594e07a55f81f2058901487858d9bc96a69c58afb1533c3912e5f7","abstract_canon_sha256":"ab7992b3017445ae2e97c45f49ef1260eb6e952484e2a3caf26b3c611c52d4ad"},"schema_version":"1.0"},"canonical_sha256":"178799802e8415a655258e000e0c7d3aa31d7a71743a6be4077e74b884548404","source":{"kind":"arxiv","id":"2406.00907","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00907","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00907v2","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00907","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_12","alias_value":"C6DZTABOQQK2","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_16","alias_value":"C6DZTABOQQK2MVJF","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_8","alias_value":"C6DZTABO","created_at":"2026-07-05T08:28:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:C6DZTABOQQK2MVJFRYAA4DD5HK","target":"record","payload":{"canonical_record":{"source":{"id":"2406.00907","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T00:30:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3eda5344e5594e07a55f81f2058901487858d9bc96a69c58afb1533c3912e5f7","abstract_canon_sha256":"ab7992b3017445ae2e97c45f49ef1260eb6e952484e2a3caf26b3c611c52d4ad"},"schema_version":"1.0"},"canonical_sha256":"178799802e8415a655258e000e0c7d3aa31d7a71743a6be4077e74b884548404","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:10.984495Z","signature_b64":"nfJ5riqRNhYtCVPh0gdAT8EUtFHxYmJA2J4uqxBlQkjPcRp5UW+JFxiovMrE5gV8xq5ZgAdBlv6bSuDt8hpoAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"178799802e8415a655258e000e0c7d3aa31d7a71743a6be4077e74b884548404","last_reissued_at":"2026-07-05T08:28:10.983961Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:10.983961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.00907","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":"2026-07-05T08:28:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U3lPl6UCF48Y5OpQ/eTvYGoJcJdtdlpYrqOB9BKwPi2ApCyy8n0TqMvQ2TF36DVLPmLwWejle7igj2rDlNJ5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:44:20.510375Z"},"content_sha256":"0eafe6db2f33514635575cd6dae78f6e8ee0a464294851f204abe723046f573d","schema_version":"1.0","event_id":"sha256:0eafe6db2f33514635575cd6dae78f6e8ee0a464294851f204abe723046f573d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:C6DZTABOQQK2MVJFRYAA4DD5HK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Catherine E. Davey, Henry Badgery, James Bailey, Matthew Read, Yuning Zhou","submitted_at":"2024-06-03T00:30:23Z","abstract_excerpt":"Self-supervised learning (SSL) has potential for effective representation learning in medical imaging, but the choice of data augmentation is critical and domain-specific. It remains uncertain if general augmentation policies suit surgical applications. In this work, we automate the search for suitable augmentation policies through a new method called Dimensionality Driven Augmentation Search (DDA). DDA leverages the local dimensionality of deep representations as a proxy target, and differentiably searches for suitable data augmentation policies in contrastive learning. We demonstrate the eff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00907","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/2406.00907/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":"2026-07-05T08:28:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fl+eFc6LAE7OIPFgTphQeS4YOtozwSDZ0Obtw1YX80lGFsJ8cX10iyTrbl15S1cpbtRkT+LN2shNR8e8/9aGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:44:20.510901Z"},"content_sha256":"c78906b32d7c8174a5db4b49519fd09063e404c6df51a3ba78c07f61791eedeb","schema_version":"1.0","event_id":"sha256:c78906b32d7c8174a5db4b49519fd09063e404c6df51a3ba78c07f61791eedeb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C6DZTABOQQK2MVJFRYAA4DD5HK/bundle.json","state_url":"https://pith.science/pith/C6DZTABOQQK2MVJFRYAA4DD5HK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C6DZTABOQQK2MVJFRYAA4DD5HK/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":"2026-08-19T05:44:20Z","links":{"resolver":"https://pith.science/pith/C6DZTABOQQK2MVJFRYAA4DD5HK","bundle":"https://pith.science/pith/C6DZTABOQQK2MVJFRYAA4DD5HK/bundle.json","state":"https://pith.science/pith/C6DZTABOQQK2MVJFRYAA4DD5HK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C6DZTABOQQK2MVJFRYAA4DD5HK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:C6DZTABOQQK2MVJFRYAA4DD5HK","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":"ab7992b3017445ae2e97c45f49ef1260eb6e952484e2a3caf26b3c611c52d4ad","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T00:30:23Z","title_canon_sha256":"3eda5344e5594e07a55f81f2058901487858d9bc96a69c58afb1533c3912e5f7"},"schema_version":"1.0","source":{"id":"2406.00907","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00907","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00907v2","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00907","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_12","alias_value":"C6DZTABOQQK2","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_16","alias_value":"C6DZTABOQQK2MVJF","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_8","alias_value":"C6DZTABO","created_at":"2026-07-05T08:28:10Z"}],"graph_snapshots":[{"event_id":"sha256:c78906b32d7c8174a5db4b49519fd09063e404c6df51a3ba78c07f61791eedeb","target":"graph","created_at":"2026-07-05T08:28:10Z","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/2406.00907/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning (SSL) has potential for effective representation learning in medical imaging, but the choice of data augmentation is critical and domain-specific. It remains uncertain if general augmentation policies suit surgical applications. In this work, we automate the search for suitable augmentation policies through a new method called Dimensionality Driven Augmentation Search (DDA). DDA leverages the local dimensionality of deep representations as a proxy target, and differentiably searches for suitable data augmentation policies in contrastive learning. We demonstrate the eff","authors_text":"Catherine E. Davey, Henry Badgery, James Bailey, Matthew Read, Yuning Zhou","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T00:30:23Z","title":"DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00907","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":"sha256:0eafe6db2f33514635575cd6dae78f6e8ee0a464294851f204abe723046f573d","target":"record","created_at":"2026-07-05T08:28:10Z","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":"ab7992b3017445ae2e97c45f49ef1260eb6e952484e2a3caf26b3c611c52d4ad","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T00:30:23Z","title_canon_sha256":"3eda5344e5594e07a55f81f2058901487858d9bc96a69c58afb1533c3912e5f7"},"schema_version":"1.0","source":{"id":"2406.00907","kind":"arxiv","version":2}},"canonical_sha256":"178799802e8415a655258e000e0c7d3aa31d7a71743a6be4077e74b884548404","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"178799802e8415a655258e000e0c7d3aa31d7a71743a6be4077e74b884548404","first_computed_at":"2026-07-05T08:28:10.983961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:10.983961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nfJ5riqRNhYtCVPh0gdAT8EUtFHxYmJA2J4uqxBlQkjPcRp5UW+JFxiovMrE5gV8xq5ZgAdBlv6bSuDt8hpoAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:10.984495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.00907","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0eafe6db2f33514635575cd6dae78f6e8ee0a464294851f204abe723046f573d","sha256:c78906b32d7c8174a5db4b49519fd09063e404c6df51a3ba78c07f61791eedeb"],"state_sha256":"48178fff418a1f8ee699f6f332fcf25e66a3d73c1814cd39734374445163889b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mZLG5fCH4xxaiuPEZHf5M7KK1cHhby6jPbCTgBrIr148G4rGPow3amy3/ZS0YhlpjrqMZHv/lSd+U+1ikXAiAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T05:44:20.522743Z","bundle_sha256":"0d0c2edeb189d1d4575a965655b1677076bd1212f2ecd5692d35feb7dd2ad2b5"}}