{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OYSTNMS4JBIFGL3KPIHSVSUCUJ","short_pith_number":"pith:OYSTNMS4","canonical_record":{"source":{"id":"2501.18619","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T12:11:30Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"15a7eeaf3ffc2bde88ebe8ab1f600d0f67a40b02c5aaa9c6a842428ac7c6b775","abstract_canon_sha256":"814fe214f760a1218626cfeaf969bb2fc699786e443de1764c18bdf2df31824d"},"schema_version":"1.0"},"canonical_sha256":"762536b25c4850532f6a7a0f2aca82a252ca302b61127167350e2b7f6b13f92c","source":{"kind":"arxiv","id":"2501.18619","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18619","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18619v2","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18619","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"pith_short_12","alias_value":"OYSTNMS4JBIF","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"pith_short_16","alias_value":"OYSTNMS4JBIFGL3K","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"pith_short_8","alias_value":"OYSTNMS4","created_at":"2026-07-05T12:06:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OYSTNMS4JBIFGL3KPIHSVSUCUJ","target":"record","payload":{"canonical_record":{"source":{"id":"2501.18619","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T12:11:30Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"15a7eeaf3ffc2bde88ebe8ab1f600d0f67a40b02c5aaa9c6a842428ac7c6b775","abstract_canon_sha256":"814fe214f760a1218626cfeaf969bb2fc699786e443de1764c18bdf2df31824d"},"schema_version":"1.0"},"canonical_sha256":"762536b25c4850532f6a7a0f2aca82a252ca302b61127167350e2b7f6b13f92c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:05.283398Z","signature_b64":"rWtGZBrWCre6fu7sOxFRfgxPC5IW3RGhYEiS71RnZAwRq28QJpz0v07e8eddbOwpn3Ir1FRlcJKMu9D9Uo7wAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"762536b25c4850532f6a7a0f2aca82a252ca302b61127167350e2b7f6b13f92c","last_reissued_at":"2026-07-05T12:06:05.282887Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:05.282887Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.18619","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":"2026-07-05T12:06:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"20xMlOxORIMMZVhDhLzh1l4w1z/j+9riQ5X3o8GJxM65oy4anEDb1r5Fn6W3tWKTMuu4x1AmSdCqeqio/i7hDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T03:58:34.893578Z"},"content_sha256":"db8906a264725eee429daf6eda2211a388f229922e55abc8936e487e3b2fd471","schema_version":"1.0","event_id":"sha256:db8906a264725eee429daf6eda2211a388f229922e55abc8936e487e3b2fd471"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OYSTNMS4JBIFGL3KPIHSVSUCUJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ruijie Li, Yuexing Han","submitted_at":"2025-01-25T12:11:30Z","abstract_excerpt":"Deep learning models have been widely applied across various domains and industries. However, many fields still face challenges due to limited and insufficient data. This paper proposes a Feature Augmentation on Adaptive Geodesic Curve (FAAGC) method in the pre-shape space to increase data. In the pre-shape space, objects with identical shapes lie on a great circle. Thus, we project deep model representations into the pre-shape space and construct a geodesic curve, i.e., an arc of a great circle, for each class. Feature augmentation is then performed by sampling along these geodesic paths. Ext"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18619","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/2501.18619/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":"2026-07-05T12:06:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1sSPkIGRnV29fXYZisLN6VJ9e86Fqhnnzq7w+ui0hx1jz0Yzh9qF3U4n478bGEgzzDPpgoJr5R4pBNbc+TAgCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T03:58:34.893897Z"},"content_sha256":"4100a6e9e2534203cffc2d2506ff7ef58820fadff1da0d6ff38454abad4981e9","schema_version":"1.0","event_id":"sha256:4100a6e9e2534203cffc2d2506ff7ef58820fadff1da0d6ff38454abad4981e9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ/bundle.json","state_url":"https://pith.science/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ/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":"2026-08-24T03:58:34Z","links":{"resolver":"https://pith.science/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ","bundle":"https://pith.science/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ/bundle.json","state":"https://pith.science/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OYSTNMS4JBIFGL3KPIHSVSUCUJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OYSTNMS4JBIFGL3KPIHSVSUCUJ","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":"814fe214f760a1218626cfeaf969bb2fc699786e443de1764c18bdf2df31824d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T12:11:30Z","title_canon_sha256":"15a7eeaf3ffc2bde88ebe8ab1f600d0f67a40b02c5aaa9c6a842428ac7c6b775"},"schema_version":"1.0","source":{"id":"2501.18619","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18619","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18619v2","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18619","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"pith_short_12","alias_value":"OYSTNMS4JBIF","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"pith_short_16","alias_value":"OYSTNMS4JBIFGL3K","created_at":"2026-07-05T12:06:05Z"},{"alias_kind":"pith_short_8","alias_value":"OYSTNMS4","created_at":"2026-07-05T12:06:05Z"}],"graph_snapshots":[{"event_id":"sha256:4100a6e9e2534203cffc2d2506ff7ef58820fadff1da0d6ff38454abad4981e9","target":"graph","created_at":"2026-07-05T12:06:05Z","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/2501.18619/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models have been widely applied across various domains and industries. However, many fields still face challenges due to limited and insufficient data. This paper proposes a Feature Augmentation on Adaptive Geodesic Curve (FAAGC) method in the pre-shape space to increase data. In the pre-shape space, objects with identical shapes lie on a great circle. Thus, we project deep model representations into the pre-shape space and construct a geodesic curve, i.e., an arc of a great circle, for each class. Feature augmentation is then performed by sampling along these geodesic paths. Ext","authors_text":"Ruijie Li, Yuexing Han","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T12:11:30Z","title":"FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18619","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:db8906a264725eee429daf6eda2211a388f229922e55abc8936e487e3b2fd471","target":"record","created_at":"2026-07-05T12:06:05Z","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":"814fe214f760a1218626cfeaf969bb2fc699786e443de1764c18bdf2df31824d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T12:11:30Z","title_canon_sha256":"15a7eeaf3ffc2bde88ebe8ab1f600d0f67a40b02c5aaa9c6a842428ac7c6b775"},"schema_version":"1.0","source":{"id":"2501.18619","kind":"arxiv","version":2}},"canonical_sha256":"762536b25c4850532f6a7a0f2aca82a252ca302b61127167350e2b7f6b13f92c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"762536b25c4850532f6a7a0f2aca82a252ca302b61127167350e2b7f6b13f92c","first_computed_at":"2026-07-05T12:06:05.282887Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:05.282887Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rWtGZBrWCre6fu7sOxFRfgxPC5IW3RGhYEiS71RnZAwRq28QJpz0v07e8eddbOwpn3Ir1FRlcJKMu9D9Uo7wAA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:05.283398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.18619","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db8906a264725eee429daf6eda2211a388f229922e55abc8936e487e3b2fd471","sha256:4100a6e9e2534203cffc2d2506ff7ef58820fadff1da0d6ff38454abad4981e9"],"state_sha256":"31e60aaed5e03078b2d4067696785f1847e304af3669b1887b966c3bc7f2b985"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8r5gGbwurOOe6Zxjb5BhnvciA/MWFlnT5mkajIO48gxFzRPsEkHiS2eemi1MkEaxkpqfjK3n1BqD9npgP7oRCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T03:58:34.897868Z","bundle_sha256":"a18601f9f97b576b5ca697f74079d3640763973b110e5e158e7726d5bd05dab2"}}