{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JEVXU7U2EH7W72P6ZMADJ5NQG2","short_pith_number":"pith:JEVXU7U2","canonical_record":{"source":{"id":"1703.04816","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-14T23:09:45Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"09a70cbbffa31dc78ef8f94896ca2100437f0cbea6418cb7223d786cc0982d57","abstract_canon_sha256":"573dce21d2c3563610a996cc1191ecdbcb7a25bed9ad228775d6522b414ccf5c"},"schema_version":"1.0"},"canonical_sha256":"492b7a7e9a21ff6fe9fecb0034f5b03690db17ed76d4ac1a6f07463854a0f0eb","source":{"kind":"arxiv","id":"1703.04816","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04816","created_at":"2026-05-18T00:42:46Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04816v3","created_at":"2026-05-18T00:42:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04816","created_at":"2026-05-18T00:42:46Z"},{"alias_kind":"pith_short_12","alias_value":"JEVXU7U2EH7W","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JEVXU7U2EH7W72P6","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JEVXU7U2","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JEVXU7U2EH7W72P6ZMADJ5NQG2","target":"record","payload":{"canonical_record":{"source":{"id":"1703.04816","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-14T23:09:45Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"09a70cbbffa31dc78ef8f94896ca2100437f0cbea6418cb7223d786cc0982d57","abstract_canon_sha256":"573dce21d2c3563610a996cc1191ecdbcb7a25bed9ad228775d6522b414ccf5c"},"schema_version":"1.0"},"canonical_sha256":"492b7a7e9a21ff6fe9fecb0034f5b03690db17ed76d4ac1a6f07463854a0f0eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:46.072456Z","signature_b64":"NCcwag2cj+Xcm1R0xPq6TYCdRnsxKs1kjDyRhTCZuIWP4i344QSPzbxXM9RAoYF3ducDEGxc9eFE7Ds/cBBkCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"492b7a7e9a21ff6fe9fecb0034f5b03690db17ed76d4ac1a6f07463854a0f0eb","last_reissued_at":"2026-05-18T00:42:46.071848Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:46.071848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.04816","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:42:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/SUWE6arKtwFdGciDe8XFdxuPdhdUpzHKpEl4mvm+vezww4IALeoONJQhfFErf54UE4R6N1LMahS0ydTTm9PBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T00:38:23.175644Z"},"content_sha256":"dec6857a9ebbeac35a781b3ee46f0b52155095266ce9a190cabdb4040e0a8b41","schema_version":"1.0","event_id":"sha256:dec6857a9ebbeac35a781b3ee46f0b52155095266ce9a190cabdb4040e0a8b41"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JEVXU7U2EH7W72P6ZMADJ5NQG2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Making Neural QA as Simple as Possible but not Simpler","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.NE"],"primary_cat":"cs.CL","authors_text":"Dirk Weissenborn, Georg Wiese, Laura Seiffe","submitted_at":"2017-03-14T23:09:45Z","abstract_excerpt":"Recent development of large-scale question answering (QA) datasets triggered a substantial amount of research into end-to-end neural architectures for QA. Increasingly complex systems have been conceived without comparison to simpler neural baseline systems that would justify their complexity. In this work, we propose a simple heuristic that guides the development of neural baseline systems for the extractive QA task. We find that there are two ingredients necessary for building a high-performing neural QA system: first, the awareness of question words while processing the context and second, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04816","kind":"arxiv","version":3},"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":"2026-05-18T00:42:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p90DnAjUXm5iCOR443NbvFyYsfw1ZlV3PHXjnAWOISgy2gFcoEee/m9TddJtzKFkLCFW2l64iJmlvrWa2lYXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T00:38:23.176362Z"},"content_sha256":"f359f7d5289067f6a3897ee962b74409ac6b08055feca083381aba527d541923","schema_version":"1.0","event_id":"sha256:f359f7d5289067f6a3897ee962b74409ac6b08055feca083381aba527d541923"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2/bundle.json","state_url":"https://pith.science/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2/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":"2026-05-27T00:38:23Z","links":{"resolver":"https://pith.science/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2","bundle":"https://pith.science/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2/bundle.json","state":"https://pith.science/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JEVXU7U2EH7W72P6ZMADJ5NQG2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JEVXU7U2EH7W72P6ZMADJ5NQG2","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":"573dce21d2c3563610a996cc1191ecdbcb7a25bed9ad228775d6522b414ccf5c","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-14T23:09:45Z","title_canon_sha256":"09a70cbbffa31dc78ef8f94896ca2100437f0cbea6418cb7223d786cc0982d57"},"schema_version":"1.0","source":{"id":"1703.04816","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04816","created_at":"2026-05-18T00:42:46Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04816v3","created_at":"2026-05-18T00:42:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04816","created_at":"2026-05-18T00:42:46Z"},{"alias_kind":"pith_short_12","alias_value":"JEVXU7U2EH7W","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JEVXU7U2EH7W72P6","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JEVXU7U2","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:f359f7d5289067f6a3897ee962b74409ac6b08055feca083381aba527d541923","target":"graph","created_at":"2026-05-18T00:42:46Z","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":"Recent development of large-scale question answering (QA) datasets triggered a substantial amount of research into end-to-end neural architectures for QA. Increasingly complex systems have been conceived without comparison to simpler neural baseline systems that would justify their complexity. In this work, we propose a simple heuristic that guides the development of neural baseline systems for the extractive QA task. We find that there are two ingredients necessary for building a high-performing neural QA system: first, the awareness of question words while processing the context and second, ","authors_text":"Dirk Weissenborn, Georg Wiese, Laura Seiffe","cross_cats":["cs.AI","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-14T23:09:45Z","title":"Making Neural QA as Simple as Possible but not Simpler"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04816","kind":"arxiv","version":3},"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:dec6857a9ebbeac35a781b3ee46f0b52155095266ce9a190cabdb4040e0a8b41","target":"record","created_at":"2026-05-18T00:42:46Z","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":"573dce21d2c3563610a996cc1191ecdbcb7a25bed9ad228775d6522b414ccf5c","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-03-14T23:09:45Z","title_canon_sha256":"09a70cbbffa31dc78ef8f94896ca2100437f0cbea6418cb7223d786cc0982d57"},"schema_version":"1.0","source":{"id":"1703.04816","kind":"arxiv","version":3}},"canonical_sha256":"492b7a7e9a21ff6fe9fecb0034f5b03690db17ed76d4ac1a6f07463854a0f0eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"492b7a7e9a21ff6fe9fecb0034f5b03690db17ed76d4ac1a6f07463854a0f0eb","first_computed_at":"2026-05-18T00:42:46.071848Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:46.071848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NCcwag2cj+Xcm1R0xPq6TYCdRnsxKs1kjDyRhTCZuIWP4i344QSPzbxXM9RAoYF3ducDEGxc9eFE7Ds/cBBkCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:46.072456Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04816","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dec6857a9ebbeac35a781b3ee46f0b52155095266ce9a190cabdb4040e0a8b41","sha256:f359f7d5289067f6a3897ee962b74409ac6b08055feca083381aba527d541923"],"state_sha256":"c0c8ebd4264a378fcdfef16a2fe549a56877c9c859db995af7c49507241994d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WgBbF72V/cl7k7+ZLF2e0f4Ph5QydrG79I6jzi3pKvnRbikJx6jQwpkTKIGGS4jm6u8vQ6pqUrtRVBD/dp9/Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T00:38:23.180158Z","bundle_sha256":"ec948f0a54cfaebb7a3e11fead0bd0cee824365872919b8a0163598108204514"}}