{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JD7QLCG3DM3VR2ELC2SA3K5GG3","short_pith_number":"pith:JD7QLCG3","canonical_record":{"source":{"id":"1902.09393","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-25T15:56:34Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"fbcf9724a1f0f3eaa9de77e18cdea48a98c37507cd00175a9a8e96b21a7f48e9","abstract_canon_sha256":"5eafb6f3f7b9e7972d58fdba1fbd5ad4273197018946673446dea49f815c9cdc"},"schema_version":"1.0"},"canonical_sha256":"48ff0588db1b3758e88b16a40daba636c6135438a81ef1fd7714cb93f7512e1c","source":{"kind":"arxiv","id":"1902.09393","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.09393","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"arxiv_version","alias_value":"1902.09393v2","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.09393","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"pith_short_12","alias_value":"JD7QLCG3DM3V","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"JD7QLCG3DM3VR2EL","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"JD7QLCG3","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JD7QLCG3DM3VR2ELC2SA3K5GG3","target":"record","payload":{"canonical_record":{"source":{"id":"1902.09393","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-25T15:56:34Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"fbcf9724a1f0f3eaa9de77e18cdea48a98c37507cd00175a9a8e96b21a7f48e9","abstract_canon_sha256":"5eafb6f3f7b9e7972d58fdba1fbd5ad4273197018946673446dea49f815c9cdc"},"schema_version":"1.0"},"canonical_sha256":"48ff0588db1b3758e88b16a40daba636c6135438a81ef1fd7714cb93f7512e1c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:47.522263Z","signature_b64":"5u8VL5P0gj0GMHCPA5AElzsCUMic4zURdz72/EM9hN+YUj5SUIV1PNlICJuWPGuQBPTZZgKqlGp5IdpK7IiNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48ff0588db1b3758e88b16a40daba636c6135438a81ef1fd7714cb93f7512e1c","last_reissued_at":"2026-05-17T23:44:47.521687Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:47.521687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.09393","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":"2026-05-17T23:44:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O2DBx32a5v1PwLgwbtABkuCBIQtzfiTbFMxkQ9y671xv5Y7sGE9wWVt6pO97TTzTc3cOL4nubFK6e239QDU+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:11:18.672790Z"},"content_sha256":"44278672d5bc0ec75662eaa60214c65b62901cc015f1aad23fbd50c4de318e8b","schema_version":"1.0","event_id":"sha256:44278672d5bc0ec75662eaa60214c65b62901cc015f1aad23fbd50c4de318e8b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JD7QLCG3DM3VR2ELC2SA3K5GG3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cooperative Learning of Disjoint Syntax and Semantics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Armand Joulin, Germ\\'an Kruszewski, Serhii Havrylov","submitted_at":"2019-02-25T15:56:34Z","abstract_excerpt":"There has been considerable attention devoted to models that learn to jointly infer an expression's syntactic structure and its semantics. Yet, \\citet{NangiaB18} has recently shown that the current best systems fail to learn the correct parsing strategy on mathematical expressions generated from a simple context-free grammar. In this work, we present a recursive model inspired by \\newcite{ChoiYL18} that reaches near perfect accuracy on this task. Our model is composed of two separated modules for syntax and semantics. They are cooperatively trained with standard continuous and discrete optimiz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.09393","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":"2026-05-17T23:44:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jj37IZxGJRlNvAwSmKsBZgYqH2w0EV0aYpdfbe5JcRdRPIEWZqTwOCT09rPZ2FCznNStMnJ7JgoJ0DCSTLpPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:11:18.673135Z"},"content_sha256":"2c8d38b2e5a21650c06e1a3d45c0328638004e7342bd9c457e510ce4a036171d","schema_version":"1.0","event_id":"sha256:2c8d38b2e5a21650c06e1a3d45c0328638004e7342bd9c457e510ce4a036171d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3/bundle.json","state_url":"https://pith.science/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3/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":"2026-05-30T07:11:18Z","links":{"resolver":"https://pith.science/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3","bundle":"https://pith.science/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3/bundle.json","state":"https://pith.science/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JD7QLCG3DM3VR2ELC2SA3K5GG3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JD7QLCG3DM3VR2ELC2SA3K5GG3","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":"5eafb6f3f7b9e7972d58fdba1fbd5ad4273197018946673446dea49f815c9cdc","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-25T15:56:34Z","title_canon_sha256":"fbcf9724a1f0f3eaa9de77e18cdea48a98c37507cd00175a9a8e96b21a7f48e9"},"schema_version":"1.0","source":{"id":"1902.09393","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.09393","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"arxiv_version","alias_value":"1902.09393v2","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.09393","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"pith_short_12","alias_value":"JD7QLCG3DM3V","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"JD7QLCG3DM3VR2EL","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"JD7QLCG3","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:2c8d38b2e5a21650c06e1a3d45c0328638004e7342bd9c457e510ce4a036171d","target":"graph","created_at":"2026-05-17T23:44:47Z","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":"There has been considerable attention devoted to models that learn to jointly infer an expression's syntactic structure and its semantics. Yet, \\citet{NangiaB18} has recently shown that the current best systems fail to learn the correct parsing strategy on mathematical expressions generated from a simple context-free grammar. In this work, we present a recursive model inspired by \\newcite{ChoiYL18} that reaches near perfect accuracy on this task. Our model is composed of two separated modules for syntax and semantics. They are cooperatively trained with standard continuous and discrete optimiz","authors_text":"Armand Joulin, Germ\\'an Kruszewski, Serhii Havrylov","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-25T15:56:34Z","title":"Cooperative Learning of Disjoint Syntax and Semantics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.09393","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":"sha256:44278672d5bc0ec75662eaa60214c65b62901cc015f1aad23fbd50c4de318e8b","target":"record","created_at":"2026-05-17T23:44:47Z","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":"5eafb6f3f7b9e7972d58fdba1fbd5ad4273197018946673446dea49f815c9cdc","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-25T15:56:34Z","title_canon_sha256":"fbcf9724a1f0f3eaa9de77e18cdea48a98c37507cd00175a9a8e96b21a7f48e9"},"schema_version":"1.0","source":{"id":"1902.09393","kind":"arxiv","version":2}},"canonical_sha256":"48ff0588db1b3758e88b16a40daba636c6135438a81ef1fd7714cb93f7512e1c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48ff0588db1b3758e88b16a40daba636c6135438a81ef1fd7714cb93f7512e1c","first_computed_at":"2026-05-17T23:44:47.521687Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:47.521687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5u8VL5P0gj0GMHCPA5AElzsCUMic4zURdz72/EM9hN+YUj5SUIV1PNlICJuWPGuQBPTZZgKqlGp5IdpK7IiNBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:47.522263Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.09393","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44278672d5bc0ec75662eaa60214c65b62901cc015f1aad23fbd50c4de318e8b","sha256:2c8d38b2e5a21650c06e1a3d45c0328638004e7342bd9c457e510ce4a036171d"],"state_sha256":"74f1bc11a6a928573d6b02bcb22b16b36ccee81351f4aeea2bddda75a1ec23fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"okSRaxJFr+MrRj0dpV8BcGhZPtq5dKKkanh3k/CyoKJIo/kmMqaQ+1Z3N5LGR9BaMkNqQjzCizMEAtVdSml/DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T07:11:18.675334Z","bundle_sha256":"b9d88922964863788859be52201003b934694e558199f7ab69feb65c3b4bdd3a"}}