{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:J4PEN3CC6HMAT2X77UU3BK5NYT","short_pith_number":"pith:J4PEN3CC","canonical_record":{"source":{"id":"1807.00126","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-30T05:21:33Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d92b8826b0d4d0b4ac31910433c13ba2102f29b27af0af0442af19a4b03ffada","abstract_canon_sha256":"78b4eea9fc42085ad0cf07b1c836c3e7431aadbe13dd5e7acbec14f1108ff678"},"schema_version":"1.0"},"canonical_sha256":"4f1e46ec42f1d809eafffd29b0abadc4c2980e8a7745c0e929af497f056443c8","source":{"kind":"arxiv","id":"1807.00126","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00126","created_at":"2026-05-18T00:05:30Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00126v2","created_at":"2026-05-18T00:05:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00126","created_at":"2026-05-18T00:05:30Z"},{"alias_kind":"pith_short_12","alias_value":"J4PEN3CC6HMA","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J4PEN3CC6HMAT2X7","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J4PEN3CC","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:J4PEN3CC6HMAT2X77UU3BK5NYT","target":"record","payload":{"canonical_record":{"source":{"id":"1807.00126","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-30T05:21:33Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d92b8826b0d4d0b4ac31910433c13ba2102f29b27af0af0442af19a4b03ffada","abstract_canon_sha256":"78b4eea9fc42085ad0cf07b1c836c3e7431aadbe13dd5e7acbec14f1108ff678"},"schema_version":"1.0"},"canonical_sha256":"4f1e46ec42f1d809eafffd29b0abadc4c2980e8a7745c0e929af497f056443c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:30.580965Z","signature_b64":"jVikdsvWtX65ZcW6eh0xxaR+4nauZKpC0L8Mz08xayecTmc5hK4BzEBZRFOogA3c4unuBnweMGI4lyyFQ7ClBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f1e46ec42f1d809eafffd29b0abadc4c2980e8a7745c0e929af497f056443c8","last_reissued_at":"2026-05-18T00:05:30.580534Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:30.580534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.00126","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":"2026-05-18T00:05:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"48V4sX4vzkK2p3igtCc3wOaLqOwYRXRfQ/W6as54JYd3ikFefQRFrZVH0zTQzZzSZ+80s7+2LjkGS92Nzg92AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T11:32:21.543243Z"},"content_sha256":"297094270714f0a98b812511bb63ac9f4c730cb2d23006bbd07d6dbd72d07a16","schema_version":"1.0","event_id":"sha256:297094270714f0a98b812511bb63ac9f4c730cb2d23006bbd07d6dbd72d07a16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:J4PEN3CC6HMAT2X77UU3BK5NYT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A New Benchmark and Progress Toward Improved Weakly Supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jason Ramapuram, Russ Webb","submitted_at":"2018-06-30T05:21:33Z","abstract_excerpt":"Knowledge Matters: Importance of Prior Information for Optimization [7], by Gulcehre et. al., sought to establish the limits of current black-box, deep learning techniques by posing problems which are difficult to learn without engineering knowledge into the model or training procedure. In our work, we completely solve the previous Knowledge Matters problem using a generic model, pose a more difficult and scalable problem, All-Pairs, and advance this new problem by introducing a new learned, spatially-varying histogram model called TypeNet which outperforms conventional models on the problem. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00126","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":"2026-05-18T00:05:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"if/FvAMF1BKg6oNLJBJfa3rBxwNkvrVUkalDh+049HNMfM6hQH2M2RD+3CB0vLLjxo9PVr26Fxek92lOocI1Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T11:32:21.543603Z"},"content_sha256":"80680f72729d5557ef465cca6ca82289ddd5c340dbb1115bcdf852a050293ae9","schema_version":"1.0","event_id":"sha256:80680f72729d5557ef465cca6ca82289ddd5c340dbb1115bcdf852a050293ae9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J4PEN3CC6HMAT2X77UU3BK5NYT/bundle.json","state_url":"https://pith.science/pith/J4PEN3CC6HMAT2X77UU3BK5NYT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J4PEN3CC6HMAT2X77UU3BK5NYT/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":"2026-05-28T11:32:21Z","links":{"resolver":"https://pith.science/pith/J4PEN3CC6HMAT2X77UU3BK5NYT","bundle":"https://pith.science/pith/J4PEN3CC6HMAT2X77UU3BK5NYT/bundle.json","state":"https://pith.science/pith/J4PEN3CC6HMAT2X77UU3BK5NYT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J4PEN3CC6HMAT2X77UU3BK5NYT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:J4PEN3CC6HMAT2X77UU3BK5NYT","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":"78b4eea9fc42085ad0cf07b1c836c3e7431aadbe13dd5e7acbec14f1108ff678","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-30T05:21:33Z","title_canon_sha256":"d92b8826b0d4d0b4ac31910433c13ba2102f29b27af0af0442af19a4b03ffada"},"schema_version":"1.0","source":{"id":"1807.00126","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.00126","created_at":"2026-05-18T00:05:30Z"},{"alias_kind":"arxiv_version","alias_value":"1807.00126v2","created_at":"2026-05-18T00:05:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.00126","created_at":"2026-05-18T00:05:30Z"},{"alias_kind":"pith_short_12","alias_value":"J4PEN3CC6HMA","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J4PEN3CC6HMAT2X7","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J4PEN3CC","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:80680f72729d5557ef465cca6ca82289ddd5c340dbb1115bcdf852a050293ae9","target":"graph","created_at":"2026-05-18T00:05:30Z","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":"Knowledge Matters: Importance of Prior Information for Optimization [7], by Gulcehre et. al., sought to establish the limits of current black-box, deep learning techniques by posing problems which are difficult to learn without engineering knowledge into the model or training procedure. In our work, we completely solve the previous Knowledge Matters problem using a generic model, pose a more difficult and scalable problem, All-Pairs, and advance this new problem by introducing a new learned, spatially-varying histogram model called TypeNet which outperforms conventional models on the problem. ","authors_text":"Jason Ramapuram, Russ Webb","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-30T05:21:33Z","title":"A New Benchmark and Progress Toward Improved Weakly Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.00126","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":"sha256:297094270714f0a98b812511bb63ac9f4c730cb2d23006bbd07d6dbd72d07a16","target":"record","created_at":"2026-05-18T00:05:30Z","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":"78b4eea9fc42085ad0cf07b1c836c3e7431aadbe13dd5e7acbec14f1108ff678","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-30T05:21:33Z","title_canon_sha256":"d92b8826b0d4d0b4ac31910433c13ba2102f29b27af0af0442af19a4b03ffada"},"schema_version":"1.0","source":{"id":"1807.00126","kind":"arxiv","version":2}},"canonical_sha256":"4f1e46ec42f1d809eafffd29b0abadc4c2980e8a7745c0e929af497f056443c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f1e46ec42f1d809eafffd29b0abadc4c2980e8a7745c0e929af497f056443c8","first_computed_at":"2026-05-18T00:05:30.580534Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:30.580534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jVikdsvWtX65ZcW6eh0xxaR+4nauZKpC0L8Mz08xayecTmc5hK4BzEBZRFOogA3c4unuBnweMGI4lyyFQ7ClBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:30.580965Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.00126","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:297094270714f0a98b812511bb63ac9f4c730cb2d23006bbd07d6dbd72d07a16","sha256:80680f72729d5557ef465cca6ca82289ddd5c340dbb1115bcdf852a050293ae9"],"state_sha256":"939c5722c0ef998ff309d8b051c152dc0656bfa647f23cde33eecd6852b6f504"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yUlSjVKzV+HBiWTJH/WBZomxOFhivSUdADl/VPb8IRQzOpPsMAs0X6UWn2UA2eyl8zeKbUVKZo/rIsjcwPGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T11:32:21.545681Z","bundle_sha256":"d478096ccdd407f72d37390ab2bcdf3ec7de9ee4cd817a057fd8336d86d2f690"}}