{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FKYEWY37RGELTCD4O2YKSKCA7K","short_pith_number":"pith:FKYEWY37","canonical_record":{"source":{"id":"2206.02780","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-06T17:58:29Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"50dde32003474f12809c86998ff6102572d78421227e405a53aa40a08e5916d6","abstract_canon_sha256":"23ac5f78f7343199b4016927c7fed0e04ef42eaf45d71bd507917f08544294b6"},"schema_version":"1.0"},"canonical_sha256":"2ab04b637f8988b9887c76b0a92840fab59f84516546bb3543ad91d06cfce540","source":{"kind":"arxiv","id":"2206.02780","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02780","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02780v2","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02780","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"pith_short_12","alias_value":"FKYEWY37RGEL","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"pith_short_16","alias_value":"FKYEWY37RGELTCD4","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"pith_short_8","alias_value":"FKYEWY37","created_at":"2026-07-05T05:03:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FKYEWY37RGELTCD4O2YKSKCA7K","target":"record","payload":{"canonical_record":{"source":{"id":"2206.02780","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-06T17:58:29Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"50dde32003474f12809c86998ff6102572d78421227e405a53aa40a08e5916d6","abstract_canon_sha256":"23ac5f78f7343199b4016927c7fed0e04ef42eaf45d71bd507917f08544294b6"},"schema_version":"1.0"},"canonical_sha256":"2ab04b637f8988b9887c76b0a92840fab59f84516546bb3543ad91d06cfce540","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:03:37.771208Z","signature_b64":"OJQaFukJY4TKpyQtJrZdbOlSc7dMNzRIQAs1olhQ1JY7b/ZYVxjzDcUoUuga07wzeRFVMFUF1S6/8MPtjHQEAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ab04b637f8988b9887c76b0a92840fab59f84516546bb3543ad91d06cfce540","last_reissued_at":"2026-07-05T05:03:37.770767Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:03:37.770767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.02780","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":"2026-07-05T05:03:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jyp9EJXLsdgJka7ZYQ4v0HUEznilBHD7Mv7mWYDyeZ0KVDnMQ6n6xsPRiQqeikj5o0YcIjNQA9/MPgX2Q2CUCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:58:31.984580Z"},"content_sha256":"be1dee46cf603ddfcd697dd6543fb8bc0a6dfd97a39a414fe7bc2b1ffaff4f3a","schema_version":"1.0","event_id":"sha256:be1dee46cf603ddfcd697dd6543fb8bc0a6dfd97a39a414fe7bc2b1ffaff4f3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FKYEWY37RGELTCD4O2YKSKCA7K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Felix Heide, Gene Chou, Ilya Chugunov","submitted_at":"2022-06-06T17:58:29Z","abstract_excerpt":"We investigate the generalization capabilities of neural signed distance functions (SDFs) for learning 3D object representations for unseen and unlabeled point clouds. Existing methods can fit SDFs to a handful of object classes and boast fine detail or fast inference speeds, but do not generalize well to unseen shapes. We introduce a two-stage semi-supervised meta-learning approach that transfers shape priors from labeled to unlabeled data to reconstruct unseen object categories. The first stage uses an episodic training scheme to simulate training on unlabeled data and meta-learns initial sh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02780","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/2206.02780/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":"2026-07-05T05:03:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ODT42PvYASruBot+IUsqNmD/DB4ct172lBThd9A2T3lghF6PkbJVLBS8uBkdVV6bAGTe/l8zmIsSwQQ4+JkDAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:58:31.985087Z"},"content_sha256":"49e6f28a4264048606248fda5ab15ffd78f67587f2ca4586254127ff099a66f1","schema_version":"1.0","event_id":"sha256:49e6f28a4264048606248fda5ab15ffd78f67587f2ca4586254127ff099a66f1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FKYEWY37RGELTCD4O2YKSKCA7K/bundle.json","state_url":"https://pith.science/pith/FKYEWY37RGELTCD4O2YKSKCA7K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FKYEWY37RGELTCD4O2YKSKCA7K/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":"2026-08-07T19:58:31Z","links":{"resolver":"https://pith.science/pith/FKYEWY37RGELTCD4O2YKSKCA7K","bundle":"https://pith.science/pith/FKYEWY37RGELTCD4O2YKSKCA7K/bundle.json","state":"https://pith.science/pith/FKYEWY37RGELTCD4O2YKSKCA7K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FKYEWY37RGELTCD4O2YKSKCA7K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FKYEWY37RGELTCD4O2YKSKCA7K","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":"23ac5f78f7343199b4016927c7fed0e04ef42eaf45d71bd507917f08544294b6","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-06T17:58:29Z","title_canon_sha256":"50dde32003474f12809c86998ff6102572d78421227e405a53aa40a08e5916d6"},"schema_version":"1.0","source":{"id":"2206.02780","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02780","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02780v2","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02780","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"pith_short_12","alias_value":"FKYEWY37RGEL","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"pith_short_16","alias_value":"FKYEWY37RGELTCD4","created_at":"2026-07-05T05:03:37Z"},{"alias_kind":"pith_short_8","alias_value":"FKYEWY37","created_at":"2026-07-05T05:03:37Z"}],"graph_snapshots":[{"event_id":"sha256:49e6f28a4264048606248fda5ab15ffd78f67587f2ca4586254127ff099a66f1","target":"graph","created_at":"2026-07-05T05:03:37Z","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/2206.02780/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigate the generalization capabilities of neural signed distance functions (SDFs) for learning 3D object representations for unseen and unlabeled point clouds. Existing methods can fit SDFs to a handful of object classes and boast fine detail or fast inference speeds, but do not generalize well to unseen shapes. We introduce a two-stage semi-supervised meta-learning approach that transfers shape priors from labeled to unlabeled data to reconstruct unseen object categories. The first stage uses an episodic training scheme to simulate training on unlabeled data and meta-learns initial sh","authors_text":"Felix Heide, Gene Chou, Ilya Chugunov","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-06T17:58:29Z","title":"GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02780","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:be1dee46cf603ddfcd697dd6543fb8bc0a6dfd97a39a414fe7bc2b1ffaff4f3a","target":"record","created_at":"2026-07-05T05:03:37Z","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":"23ac5f78f7343199b4016927c7fed0e04ef42eaf45d71bd507917f08544294b6","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-06T17:58:29Z","title_canon_sha256":"50dde32003474f12809c86998ff6102572d78421227e405a53aa40a08e5916d6"},"schema_version":"1.0","source":{"id":"2206.02780","kind":"arxiv","version":2}},"canonical_sha256":"2ab04b637f8988b9887c76b0a92840fab59f84516546bb3543ad91d06cfce540","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ab04b637f8988b9887c76b0a92840fab59f84516546bb3543ad91d06cfce540","first_computed_at":"2026-07-05T05:03:37.770767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:37.770767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OJQaFukJY4TKpyQtJrZdbOlSc7dMNzRIQAs1olhQ1JY7b/ZYVxjzDcUoUuga07wzeRFVMFUF1S6/8MPtjHQEAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:37.771208Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.02780","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be1dee46cf603ddfcd697dd6543fb8bc0a6dfd97a39a414fe7bc2b1ffaff4f3a","sha256:49e6f28a4264048606248fda5ab15ffd78f67587f2ca4586254127ff099a66f1"],"state_sha256":"d245aec6c1924861300185acf856c082cba7a347c1393a80460c35f8b52aaade"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1E90k61NPmfOjEe6lsRL9jCzLJkA8YVfjkOue1gQNMxgyyMzJwLRKPtynwLaXlwCUAIqV8qx3Bw6WqPb++O2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:58:31.989002Z","bundle_sha256":"e225c0cfc863ddd0177f36f17897991a80cd7b3e24bec70156ed92f3c3950e24"}}