{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PWRMQ7WYHR2A7YR4TAIU4BBRC6","short_pith_number":"pith:PWRMQ7WY","canonical_record":{"source":{"id":"2403.12562","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T09:17:18Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"7f53dd52a199a5ec72cb14436c3ffaf624f539ae474a86309a8d5269cdd8aefd","abstract_canon_sha256":"89d6d21a27d0a846ad6dd1bf80e8c37fc58a54feeb711c782eb29393a39b0a21"},"schema_version":"1.0"},"canonical_sha256":"7da2c87ed83c740fe23c98114e043117bf137148b742e5203df73296d353dd23","source":{"kind":"arxiv","id":"2403.12562","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12562","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12562v2","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12562","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"pith_short_12","alias_value":"PWRMQ7WYHR2A","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"pith_short_16","alias_value":"PWRMQ7WYHR2A7YR4","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"pith_short_8","alias_value":"PWRMQ7WY","created_at":"2026-07-05T09:44:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PWRMQ7WYHR2A7YR4TAIU4BBRC6","target":"record","payload":{"canonical_record":{"source":{"id":"2403.12562","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T09:17:18Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"7f53dd52a199a5ec72cb14436c3ffaf624f539ae474a86309a8d5269cdd8aefd","abstract_canon_sha256":"89d6d21a27d0a846ad6dd1bf80e8c37fc58a54feeb711c782eb29393a39b0a21"},"schema_version":"1.0"},"canonical_sha256":"7da2c87ed83c740fe23c98114e043117bf137148b742e5203df73296d353dd23","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:49.956945Z","signature_b64":"nVebz3xgqv9bn1daIQnyNsGc+r9fSKi3b5QO2Tv1+ILs2RkIZ/uVVNq5bKYQSHsPZN3rY6Pbo02l8uvLtOTTAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7da2c87ed83c740fe23c98114e043117bf137148b742e5203df73296d353dd23","last_reissued_at":"2026-07-05T09:44:49.956472Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:49.956472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.12562","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":"2026-07-05T09:44:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6sZ0ik+vFgwNZBOjGrQUzh6u9RlphbYfI73f9+EepEgIDo71blQPA+aXkINzHX6c0ArUjEqfsvuZQqwGM/5ZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T16:29:44.400818Z"},"content_sha256":"eb1f21321136c8071e80fe6826ab075ebbf534a54e53531203e95a0a5c5aea27","schema_version":"1.0","event_id":"sha256:eb1f21321136c8071e80fe6826ab075ebbf534a54e53531203e95a0a5c5aea27"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PWRMQ7WYHR2A7YR4TAIU4BBRC6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Bob Pepin, Christian Igel, Erik B Dam, Gabrielle Samuel, Raghavendra Selvan","submitted_at":"2024-03-19T09:17:18Z","abstract_excerpt":"The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger models which are resource intensive in terms of compute, data, energy, and carbon emissions. These costs are becoming a new type of entry barrier to researchers and practitioners with limited access to resources at such scale, particularly in the Global South. In this work, we take a comprehensive look at the landscape of existing DL models for medical image analysis tasks and demonstrate their usefulness in settings"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12562","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/2403.12562/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":"2026-07-05T09:44:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4H8X5DQwg/ulpxZDWlDCMSsIGJm9qkR53lDT6I54kEh1/4R+qlkGJHAJZDMyOz0Koy7yru6SNmnNTiOojYGjCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T16:29:44.401484Z"},"content_sha256":"8e017c9d4fb5de834f142db5e4093425fa2c3307036f59bf6bdb1c2b31f74549","schema_version":"1.0","event_id":"sha256:8e017c9d4fb5de834f142db5e4093425fa2c3307036f59bf6bdb1c2b31f74549"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6/bundle.json","state_url":"https://pith.science/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6/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":"2026-08-11T16:29:44Z","links":{"resolver":"https://pith.science/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6","bundle":"https://pith.science/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6/bundle.json","state":"https://pith.science/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PWRMQ7WYHR2A7YR4TAIU4BBRC6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PWRMQ7WYHR2A7YR4TAIU4BBRC6","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":"89d6d21a27d0a846ad6dd1bf80e8c37fc58a54feeb711c782eb29393a39b0a21","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T09:17:18Z","title_canon_sha256":"7f53dd52a199a5ec72cb14436c3ffaf624f539ae474a86309a8d5269cdd8aefd"},"schema_version":"1.0","source":{"id":"2403.12562","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12562","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12562v2","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12562","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"pith_short_12","alias_value":"PWRMQ7WYHR2A","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"pith_short_16","alias_value":"PWRMQ7WYHR2A7YR4","created_at":"2026-07-05T09:44:49Z"},{"alias_kind":"pith_short_8","alias_value":"PWRMQ7WY","created_at":"2026-07-05T09:44:49Z"}],"graph_snapshots":[{"event_id":"sha256:8e017c9d4fb5de834f142db5e4093425fa2c3307036f59bf6bdb1c2b31f74549","target":"graph","created_at":"2026-07-05T09:44:49Z","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/2403.12562/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger models which are resource intensive in terms of compute, data, energy, and carbon emissions. These costs are becoming a new type of entry barrier to researchers and practitioners with limited access to resources at such scale, particularly in the Global South. In this work, we take a comprehensive look at the landscape of existing DL models for medical image analysis tasks and demonstrate their usefulness in settings","authors_text":"Bob Pepin, Christian Igel, Erik B Dam, Gabrielle Samuel, Raghavendra Selvan","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T09:17:18Z","title":"PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12562","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:eb1f21321136c8071e80fe6826ab075ebbf534a54e53531203e95a0a5c5aea27","target":"record","created_at":"2026-07-05T09:44:49Z","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":"89d6d21a27d0a846ad6dd1bf80e8c37fc58a54feeb711c782eb29393a39b0a21","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T09:17:18Z","title_canon_sha256":"7f53dd52a199a5ec72cb14436c3ffaf624f539ae474a86309a8d5269cdd8aefd"},"schema_version":"1.0","source":{"id":"2403.12562","kind":"arxiv","version":2}},"canonical_sha256":"7da2c87ed83c740fe23c98114e043117bf137148b742e5203df73296d353dd23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7da2c87ed83c740fe23c98114e043117bf137148b742e5203df73296d353dd23","first_computed_at":"2026-07-05T09:44:49.956472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:49.956472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nVebz3xgqv9bn1daIQnyNsGc+r9fSKi3b5QO2Tv1+ILs2RkIZ/uVVNq5bKYQSHsPZN3rY6Pbo02l8uvLtOTTAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:49.956945Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12562","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb1f21321136c8071e80fe6826ab075ebbf534a54e53531203e95a0a5c5aea27","sha256:8e017c9d4fb5de834f142db5e4093425fa2c3307036f59bf6bdb1c2b31f74549"],"state_sha256":"43c2d39e848fab02ec77c7eb6fdd6dfd29630151ee65de99bd2cb74e35de162c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/s7IACNDdorE9NKq971MVrTrM/4OebW8B7XjZRBiscnFYYxDKFRzT4T8dlMy2W3Chh04YVqMAO/Dx4h0qi3ACw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T16:29:44.405037Z","bundle_sha256":"426fe21f4cd5e47c863e6d389f1eee508f865bf6cb5db661086a85e4339ffb1b"}}