{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RLWWVLBP5OF2MY6TZBTWLR2CCH","short_pith_number":"pith:RLWWVLBP","canonical_record":{"source":{"id":"1807.03711","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T15:30:17Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"7e1dca94c10d923ac0e63117fff769a146ee4e64929e2e47731e434178decaf4","abstract_canon_sha256":"b7da91573f7f42c2a800446c3faa16259ff54d9e6103ea33176490d8a01578f1"},"schema_version":"1.0"},"canonical_sha256":"8aed6aac2feb8ba663d3c86765c74211c2c51bdb22c5f867c50a3d0fd1b11994","source":{"kind":"arxiv","id":"1807.03711","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.03711","created_at":"2026-05-18T00:10:59Z"},{"alias_kind":"arxiv_version","alias_value":"1807.03711v2","created_at":"2026-05-18T00:10:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.03711","created_at":"2026-05-18T00:10:59Z"},{"alias_kind":"pith_short_12","alias_value":"RLWWVLBP5OF2","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RLWWVLBP5OF2MY6T","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RLWWVLBP","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RLWWVLBP5OF2MY6TZBTWLR2CCH","target":"record","payload":{"canonical_record":{"source":{"id":"1807.03711","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T15:30:17Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"7e1dca94c10d923ac0e63117fff769a146ee4e64929e2e47731e434178decaf4","abstract_canon_sha256":"b7da91573f7f42c2a800446c3faa16259ff54d9e6103ea33176490d8a01578f1"},"schema_version":"1.0"},"canonical_sha256":"8aed6aac2feb8ba663d3c86765c74211c2c51bdb22c5f867c50a3d0fd1b11994","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:59.106565Z","signature_b64":"xrgfyrW39UfHyfD91Xi1gRaC3LAlVBuYDE3YUIk1OJuJPEP2Rxfeog0dmbXn82q3msNBMBY7K5HCWYvfdhkgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8aed6aac2feb8ba663d3c86765c74211c2c51bdb22c5f867c50a3d0fd1b11994","last_reissued_at":"2026-05-18T00:10:59.105716Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:59.105716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.03711","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":"2026-05-18T00:10:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XZLNQ555x6aIDa116237Yp/RvN1psj6T5ci5BCwjfPjY13UkX75JUCxik8SBbEOuQOsTgPA56jj6qpCo+ri9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T03:22:05.553142Z"},"content_sha256":"d59ee46fcb22f367af5c0fe70a387db42dd68b4edc4955a98a19645eaf27cab8","schema_version":"1.0","event_id":"sha256:d59ee46fcb22f367af5c0fe70a387db42dd68b4edc4955a98a19645eaf27cab8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RLWWVLBP5OF2MY6TZBTWLR2CCH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Eric Xing, Michael Kampffmeyer, Rajesh Chidambaram, Thomas Lachmann, Willie Neiswanger, Xiaodan Liang","submitted_at":"2018-07-10T15:30:17Z","abstract_excerpt":"Raven's Progressive Matrices are one of the widely used tests in evaluating the human test taker's fluid intelligence. Analogously, this paper introduces geometric generalization based zero-shot learning tests to measure the rapid learning ability and the internal consistency of deep generative models. Our empirical research analysis on state-of-the-art generative models discern their ability to generalize concepts across classes. In the process, we introduce Infinite World, an evaluable, scalable, multi-modal, light-weight dataset and Zero-Shot Intelligence Metric ZSI. The proposed tests cond"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.03711","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":""},"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":"2026-05-18T00:10:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SsPqvJum0j8T4guSSGrnyH3lQqr1gnhac/AoBF7Qta/zyabB/tsrek2kqYQCQfN9B0u6K5P3+IOBkItHPhC7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T03:22:05.553819Z"},"content_sha256":"6adebd82b4240eb0fc2b40f2e878bbd09f116ad68f2f3d523f77569dc51b4ccd","schema_version":"1.0","event_id":"sha256:6adebd82b4240eb0fc2b40f2e878bbd09f116ad68f2f3d523f77569dc51b4ccd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH/bundle.json","state_url":"https://pith.science/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH/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":"2026-05-26T03:22:05Z","links":{"resolver":"https://pith.science/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH","bundle":"https://pith.science/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH/bundle.json","state":"https://pith.science/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RLWWVLBP5OF2MY6TZBTWLR2CCH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RLWWVLBP5OF2MY6TZBTWLR2CCH","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":"b7da91573f7f42c2a800446c3faa16259ff54d9e6103ea33176490d8a01578f1","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T15:30:17Z","title_canon_sha256":"7e1dca94c10d923ac0e63117fff769a146ee4e64929e2e47731e434178decaf4"},"schema_version":"1.0","source":{"id":"1807.03711","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.03711","created_at":"2026-05-18T00:10:59Z"},{"alias_kind":"arxiv_version","alias_value":"1807.03711v2","created_at":"2026-05-18T00:10:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.03711","created_at":"2026-05-18T00:10:59Z"},{"alias_kind":"pith_short_12","alias_value":"RLWWVLBP5OF2","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RLWWVLBP5OF2MY6T","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RLWWVLBP","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:6adebd82b4240eb0fc2b40f2e878bbd09f116ad68f2f3d523f77569dc51b4ccd","target":"graph","created_at":"2026-05-18T00:10:59Z","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"},"paper":{"abstract_excerpt":"Raven's Progressive Matrices are one of the widely used tests in evaluating the human test taker's fluid intelligence. Analogously, this paper introduces geometric generalization based zero-shot learning tests to measure the rapid learning ability and the internal consistency of deep generative models. Our empirical research analysis on state-of-the-art generative models discern their ability to generalize concepts across classes. In the process, we introduce Infinite World, an evaluable, scalable, multi-modal, light-weight dataset and Zero-Shot Intelligence Metric ZSI. The proposed tests cond","authors_text":"Eric Xing, Michael Kampffmeyer, Rajesh Chidambaram, Thomas Lachmann, Willie Neiswanger, Xiaodan Liang","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T15:30:17Z","title":"Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.03711","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:d59ee46fcb22f367af5c0fe70a387db42dd68b4edc4955a98a19645eaf27cab8","target":"record","created_at":"2026-05-18T00:10:59Z","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":"b7da91573f7f42c2a800446c3faa16259ff54d9e6103ea33176490d8a01578f1","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-10T15:30:17Z","title_canon_sha256":"7e1dca94c10d923ac0e63117fff769a146ee4e64929e2e47731e434178decaf4"},"schema_version":"1.0","source":{"id":"1807.03711","kind":"arxiv","version":2}},"canonical_sha256":"8aed6aac2feb8ba663d3c86765c74211c2c51bdb22c5f867c50a3d0fd1b11994","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8aed6aac2feb8ba663d3c86765c74211c2c51bdb22c5f867c50a3d0fd1b11994","first_computed_at":"2026-05-18T00:10:59.105716Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:59.105716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xrgfyrW39UfHyfD91Xi1gRaC3LAlVBuYDE3YUIk1OJuJPEP2Rxfeog0dmbXn82q3msNBMBY7K5HCWYvfdhkgDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:59.106565Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.03711","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d59ee46fcb22f367af5c0fe70a387db42dd68b4edc4955a98a19645eaf27cab8","sha256:6adebd82b4240eb0fc2b40f2e878bbd09f116ad68f2f3d523f77569dc51b4ccd"],"state_sha256":"73b87ddbd2dcf8d206485fe7ac0b83817ec7f87e088ac8a9a5ea302325a506cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"krMe6j2FC56vKp+qSJSXr9A82UJpn2WKsTHUDmriUSIMejwcfBhOjQnqI9wT3FCcxljP0Ymyd6bcmXECaEVFBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T03:22:05.557228Z","bundle_sha256":"c9733de6fb5fbf9f38a821e318f3da3ebbcdef752f07b38f452230537f82adec"}}