{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TZGHFQ3FNCZBG3D27XDP5FPWDC","short_pith_number":"pith:TZGHFQ3F","canonical_record":{"source":{"id":"2306.07783","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T14:06:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1e6a4e3462e43544b58e9b3fdde1ee60588ecc661575e8b380e45a50188bdef7","abstract_canon_sha256":"73e30781598618048b9bd6d5cb5b7edb109b3dcdcf45baf422d149793ae272cd"},"schema_version":"1.0"},"canonical_sha256":"9e4c72c36568b2136c7afdc6fe95f618adb326db429049989620ea6f96c5a150","source":{"kind":"arxiv","id":"2306.07783","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07783","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07783v2","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07783","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"pith_short_12","alias_value":"TZGHFQ3FNCZB","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"pith_short_16","alias_value":"TZGHFQ3FNCZBG3D2","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"pith_short_8","alias_value":"TZGHFQ3F","created_at":"2026-07-05T06:21:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TZGHFQ3FNCZBG3D27XDP5FPWDC","target":"record","payload":{"canonical_record":{"source":{"id":"2306.07783","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T14:06:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1e6a4e3462e43544b58e9b3fdde1ee60588ecc661575e8b380e45a50188bdef7","abstract_canon_sha256":"73e30781598618048b9bd6d5cb5b7edb109b3dcdcf45baf422d149793ae272cd"},"schema_version":"1.0"},"canonical_sha256":"9e4c72c36568b2136c7afdc6fe95f618adb326db429049989620ea6f96c5a150","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:21:32.326240Z","signature_b64":"o257/7fZw54jMlE/MSi0sRu8taoihH/GfWNr8TbrCjF9koBDc3ckOVPI3zHXu6BMqGhfeELox2nydai+F7/kCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e4c72c36568b2136c7afdc6fe95f618adb326db429049989620ea6f96c5a150","last_reissued_at":"2026-07-05T06:21:32.325751Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:21:32.325751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.07783","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":"2026-07-05T06:21:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sQ87E64Zr5qBPr5MKVUA8nPBc92qYNeevHIZqEPkyY4+rbQN1I2dW4bJBnGihld5cQ8y4GNusTNXaDvFpXlWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T07:24:27.940650Z"},"content_sha256":"e7a9131044e528910f1a6d9245ff76ce3818cfc829fff84b1778f17babd77e6b","schema_version":"1.0","event_id":"sha256:e7a9131044e528910f1a6d9245ff76ce3818cfc829fff84b1778f17babd77e6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TZGHFQ3FNCZBG3D27XDP5FPWDC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compositionally Equivariant Representation Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alison Q. O'Neil, Pedro Sanchez, Sotirios A. Tsaftaris, Spyridon Thermos, Xiao Liu","submitted_at":"2023-06-13T14:06:55Z","abstract_excerpt":"Deep learning models often need sufficient supervision (i.e. labelled data) in order to be trained effectively. By contrast, humans can swiftly learn to identify important anatomy in medical images like MRI and CT scans, with minimal guidance. This recognition capability easily generalises to new images from different medical facilities and to new tasks in different settings. This rapid and generalisable learning ability is largely due to the compositional structure of image patterns in the human brain, which are not well represented in current medical models. In this paper, we study the utili"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07783","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/2306.07783/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":"2026-07-05T06:21:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xE9oCpGh30h+Nkf2Z6Tf7wZ+5ouZG6XGWpf6Ea70XkS8q+kpJVIM7meewU6kyNs/pxrdDnuBD1wLOKdOdKe/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T07:24:27.940984Z"},"content_sha256":"1008cbd988ed331318d08bf079ea18e3a72b029af50db5f1c91051f241e4af6f","schema_version":"1.0","event_id":"sha256:1008cbd988ed331318d08bf079ea18e3a72b029af50db5f1c91051f241e4af6f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC/bundle.json","state_url":"https://pith.science/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC/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":"2026-08-21T07:24:27Z","links":{"resolver":"https://pith.science/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC","bundle":"https://pith.science/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC/bundle.json","state":"https://pith.science/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TZGHFQ3FNCZBG3D27XDP5FPWDC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TZGHFQ3FNCZBG3D27XDP5FPWDC","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":"73e30781598618048b9bd6d5cb5b7edb109b3dcdcf45baf422d149793ae272cd","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T14:06:55Z","title_canon_sha256":"1e6a4e3462e43544b58e9b3fdde1ee60588ecc661575e8b380e45a50188bdef7"},"schema_version":"1.0","source":{"id":"2306.07783","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07783","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07783v2","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07783","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"pith_short_12","alias_value":"TZGHFQ3FNCZB","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"pith_short_16","alias_value":"TZGHFQ3FNCZBG3D2","created_at":"2026-07-05T06:21:32Z"},{"alias_kind":"pith_short_8","alias_value":"TZGHFQ3F","created_at":"2026-07-05T06:21:32Z"}],"graph_snapshots":[{"event_id":"sha256:1008cbd988ed331318d08bf079ea18e3a72b029af50db5f1c91051f241e4af6f","target":"graph","created_at":"2026-07-05T06:21:32Z","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/2306.07783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models often need sufficient supervision (i.e. labelled data) in order to be trained effectively. By contrast, humans can swiftly learn to identify important anatomy in medical images like MRI and CT scans, with minimal guidance. This recognition capability easily generalises to new images from different medical facilities and to new tasks in different settings. This rapid and generalisable learning ability is largely due to the compositional structure of image patterns in the human brain, which are not well represented in current medical models. In this paper, we study the utili","authors_text":"Alison Q. O'Neil, Pedro Sanchez, Sotirios A. Tsaftaris, Spyridon Thermos, Xiao Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T14:06:55Z","title":"Compositionally Equivariant Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07783","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:e7a9131044e528910f1a6d9245ff76ce3818cfc829fff84b1778f17babd77e6b","target":"record","created_at":"2026-07-05T06:21:32Z","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":"73e30781598618048b9bd6d5cb5b7edb109b3dcdcf45baf422d149793ae272cd","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T14:06:55Z","title_canon_sha256":"1e6a4e3462e43544b58e9b3fdde1ee60588ecc661575e8b380e45a50188bdef7"},"schema_version":"1.0","source":{"id":"2306.07783","kind":"arxiv","version":2}},"canonical_sha256":"9e4c72c36568b2136c7afdc6fe95f618adb326db429049989620ea6f96c5a150","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e4c72c36568b2136c7afdc6fe95f618adb326db429049989620ea6f96c5a150","first_computed_at":"2026-07-05T06:21:32.325751Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:21:32.325751Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o257/7fZw54jMlE/MSi0sRu8taoihH/GfWNr8TbrCjF9koBDc3ckOVPI3zHXu6BMqGhfeELox2nydai+F7/kCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:21:32.326240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.07783","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7a9131044e528910f1a6d9245ff76ce3818cfc829fff84b1778f17babd77e6b","sha256:1008cbd988ed331318d08bf079ea18e3a72b029af50db5f1c91051f241e4af6f"],"state_sha256":"be76518a504ab5b9b8c3f521ba6e9ee4279f6e6e83aa84c17e2c4b6f03f088f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xErw6ZeurfB2tYenkgyx5dtX4eeLlmtrgYoqEwMsMKW32m1CWXNJRrHMcCiMxDsAlyAL7Fxj1nk8LAxIKv77Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T07:24:27.944618Z","bundle_sha256":"3142a26d694769fb8aa3a67da4bfc35e39b67bdd4b71a020c9463d69083a2951"}}