{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:U3DYOBPV6YVCEHBRJW5X67MU7O","short_pith_number":"pith:U3DYOBPV","canonical_record":{"source":{"id":"1902.08373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T06:28:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ed8db7a3daf336efa54ae5c8ad65bdea62a90d3d51da128703cee4a9a33a2ee6","abstract_canon_sha256":"4376152cffd0b9b8c78981ca22b96dfae7f7ad1eaa3e754f82ae1c4aafe48652"},"schema_version":"1.0"},"canonical_sha256":"a6c78705f5f62a221c314dbb7f7d94fbaa49ccb59a7341cca192ccf38ddf3003","source":{"kind":"arxiv","id":"1902.08373","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.08373","created_at":"2026-05-17T23:52:57Z"},{"alias_kind":"arxiv_version","alias_value":"1902.08373v1","created_at":"2026-05-17T23:52:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.08373","created_at":"2026-05-17T23:52:57Z"},{"alias_kind":"pith_short_12","alias_value":"U3DYOBPV6YVC","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U3DYOBPV6YVCEHBR","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U3DYOBPV","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:U3DYOBPV6YVCEHBRJW5X67MU7O","target":"record","payload":{"canonical_record":{"source":{"id":"1902.08373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T06:28:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ed8db7a3daf336efa54ae5c8ad65bdea62a90d3d51da128703cee4a9a33a2ee6","abstract_canon_sha256":"4376152cffd0b9b8c78981ca22b96dfae7f7ad1eaa3e754f82ae1c4aafe48652"},"schema_version":"1.0"},"canonical_sha256":"a6c78705f5f62a221c314dbb7f7d94fbaa49ccb59a7341cca192ccf38ddf3003","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:57.452065Z","signature_b64":"anO5xkRni/yTsxy1IjeMsknVUIAv2TxzAklBfXCYiuS1V+8Q2OeEZLRIvxbtWRyAByaBF6tmE22MQWjBvOCOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6c78705f5f62a221c314dbb7f7d94fbaa49ccb59a7341cca192ccf38ddf3003","last_reissued_at":"2026-05-17T23:52:57.451350Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:57.451350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.08373","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:52:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"crY2t256C4g2o/AQi2flHNE9DdD8UsmJX9F+dp/B7iqLVzorEXQbgz+kk1GRXzHBqmWZNe12DD1SG6JwpA/nDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:06:58.254011Z"},"content_sha256":"5f653008898cd50634dfb66bab487b8b04217509cdc9ed49cec8c54f7994ecf3","schema_version":"1.0","event_id":"sha256:5f653008898cd50634dfb66bab487b8b04217509cdc9ed49cec8c54f7994ecf3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:U3DYOBPV6YVCEHBRJW5X67MU7O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Learn Semantic Parsers from Natural Language Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Bishan Yang, Igor Labutov, Tom Mitchell","submitted_at":"2019-02-22T06:28:36Z","abstract_excerpt":"As humans, we often rely on language to learn language. For example, when corrected in a conversation, we may learn from that correction, over time improving our language fluency. Inspired by this observation, we propose a learning algorithm for training semantic parsers from supervision (feedback) expressed in natural language. Our algorithm learns a semantic parser from users' corrections such as \"no, what I really meant was before his job, not after\", by also simultaneously learning to parse this natural language feedback in order to leverage it as a form of supervision. Unlike supervision "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.08373","kind":"arxiv","version":1},"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":"2026-05-17T23:52:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ruo0VD4Vfvzql7Olbk5DrJIQUb+cgPeZ9c0ILriKL8mH0p8HUkpBozeGhKGLM91tlxT8+cYE0ADDkhjysWoTAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:06:58.254470Z"},"content_sha256":"94ec02d3bf0e4ea72d4feae50a1a1544cd91acd5818f39c7872be84dfd46dfd6","schema_version":"1.0","event_id":"sha256:94ec02d3bf0e4ea72d4feae50a1a1544cd91acd5818f39c7872be84dfd46dfd6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U3DYOBPV6YVCEHBRJW5X67MU7O/bundle.json","state_url":"https://pith.science/pith/U3DYOBPV6YVCEHBRJW5X67MU7O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U3DYOBPV6YVCEHBRJW5X67MU7O/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":"2026-06-04T22:06:58Z","links":{"resolver":"https://pith.science/pith/U3DYOBPV6YVCEHBRJW5X67MU7O","bundle":"https://pith.science/pith/U3DYOBPV6YVCEHBRJW5X67MU7O/bundle.json","state":"https://pith.science/pith/U3DYOBPV6YVCEHBRJW5X67MU7O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U3DYOBPV6YVCEHBRJW5X67MU7O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U3DYOBPV6YVCEHBRJW5X67MU7O","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":"4376152cffd0b9b8c78981ca22b96dfae7f7ad1eaa3e754f82ae1c4aafe48652","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T06:28:36Z","title_canon_sha256":"ed8db7a3daf336efa54ae5c8ad65bdea62a90d3d51da128703cee4a9a33a2ee6"},"schema_version":"1.0","source":{"id":"1902.08373","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.08373","created_at":"2026-05-17T23:52:57Z"},{"alias_kind":"arxiv_version","alias_value":"1902.08373v1","created_at":"2026-05-17T23:52:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.08373","created_at":"2026-05-17T23:52:57Z"},{"alias_kind":"pith_short_12","alias_value":"U3DYOBPV6YVC","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U3DYOBPV6YVCEHBR","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U3DYOBPV","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:94ec02d3bf0e4ea72d4feae50a1a1544cd91acd5818f39c7872be84dfd46dfd6","target":"graph","created_at":"2026-05-17T23:52:57Z","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":"As humans, we often rely on language to learn language. For example, when corrected in a conversation, we may learn from that correction, over time improving our language fluency. Inspired by this observation, we propose a learning algorithm for training semantic parsers from supervision (feedback) expressed in natural language. Our algorithm learns a semantic parser from users' corrections such as \"no, what I really meant was before his job, not after\", by also simultaneously learning to parse this natural language feedback in order to leverage it as a form of supervision. Unlike supervision ","authors_text":"Bishan Yang, Igor Labutov, Tom Mitchell","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T06:28:36Z","title":"Learning to Learn Semantic Parsers from Natural Language Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.08373","kind":"arxiv","version":1},"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":"sha256:5f653008898cd50634dfb66bab487b8b04217509cdc9ed49cec8c54f7994ecf3","target":"record","created_at":"2026-05-17T23:52:57Z","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":"4376152cffd0b9b8c78981ca22b96dfae7f7ad1eaa3e754f82ae1c4aafe48652","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T06:28:36Z","title_canon_sha256":"ed8db7a3daf336efa54ae5c8ad65bdea62a90d3d51da128703cee4a9a33a2ee6"},"schema_version":"1.0","source":{"id":"1902.08373","kind":"arxiv","version":1}},"canonical_sha256":"a6c78705f5f62a221c314dbb7f7d94fbaa49ccb59a7341cca192ccf38ddf3003","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6c78705f5f62a221c314dbb7f7d94fbaa49ccb59a7341cca192ccf38ddf3003","first_computed_at":"2026-05-17T23:52:57.451350Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:57.451350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"anO5xkRni/yTsxy1IjeMsknVUIAv2TxzAklBfXCYiuS1V+8Q2OeEZLRIvxbtWRyAByaBF6tmE22MQWjBvOCOAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:57.452065Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.08373","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f653008898cd50634dfb66bab487b8b04217509cdc9ed49cec8c54f7994ecf3","sha256:94ec02d3bf0e4ea72d4feae50a1a1544cd91acd5818f39c7872be84dfd46dfd6"],"state_sha256":"bb69a552b9a4d72a5df11a054f53611a25b536e61fa1b50578efe5c91a56f0c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QUz8eknb6inT/FtkX5Ml9DnwXGmXSZHeh48R6+dT6T149EAK6ZeAjWe+hML0+16cODyPWnyQHArhtHz+nyVRDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T22:06:58.257356Z","bundle_sha256":"51428fa88dcbf7047f4549127b9bec8cccb1101f7b42a56e7dafbfd5792a57db"}}