{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NVHK2DMEQWGZSHPZX63PB65XDZ","short_pith_number":"pith:NVHK2DME","canonical_record":{"source":{"id":"1903.12110","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-28T16:51:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f3df57697f0e8cdbc8fba0a88385df903ad83bf03580f269becdd97a5834fcdd","abstract_canon_sha256":"3a7ef03e2936e72a6deef8dd1317dc43d14a45c6a3ae976b0305df1ecb37398a"},"schema_version":"1.0"},"canonical_sha256":"6d4ead0d84858d991df9bfb6f0fbb71e61b1081346c79ca4a79797cabac80872","source":{"kind":"arxiv","id":"1903.12110","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12110","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12110v1","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12110","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"pith_short_12","alias_value":"NVHK2DMEQWGZ","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"pith_short_16","alias_value":"NVHK2DMEQWGZSHPZ","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"pith_short_8","alias_value":"NVHK2DME","created_at":"2026-07-05T03:15:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NVHK2DMEQWGZSHPZX63PB65XDZ","target":"record","payload":{"canonical_record":{"source":{"id":"1903.12110","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-28T16:51:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f3df57697f0e8cdbc8fba0a88385df903ad83bf03580f269becdd97a5834fcdd","abstract_canon_sha256":"3a7ef03e2936e72a6deef8dd1317dc43d14a45c6a3ae976b0305df1ecb37398a"},"schema_version":"1.0"},"canonical_sha256":"6d4ead0d84858d991df9bfb6f0fbb71e61b1081346c79ca4a79797cabac80872","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:15:49.777517Z","signature_b64":"9vcDIOTIwvaNwDRwbX5vQTZytr2rRgSU2dhaupHMHUlu3ZjKeA/7HcFC39SqIpByXoEX6UG0a77RgI2NVDDaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d4ead0d84858d991df9bfb6f0fbb71e61b1081346c79ca4a79797cabac80872","last_reissued_at":"2026-07-05T03:15:49.777016Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:15:49.777016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.12110","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":"2026-07-05T03:15:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lOmUjl+XBk/5msHVaL9qm/VtfrAHrl0jskxNjJ8xNVV3ZzrVitb62Wyhd/Er9H/qd/At3QhRuFIqiNmv1T4ICg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T17:47:15.213312Z"},"content_sha256":"38a61ee5dd0fee9c8164db066693ddf039c8f2924c0ced2e3bc50382effa0c5b","schema_version":"1.0","event_id":"sha256:38a61ee5dd0fee9c8164db066693ddf039c8f2924c0ced2e3bc50382effa0c5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NVHK2DMEQWGZSHPZX63PB65XDZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Building Automated Survey Coders via Interactive Machine Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani","submitted_at":"2019-03-28T16:51:17Z","abstract_excerpt":"Software systems trained via machine learning to automatically classify open-ended answers (a.k.a. verbatims) are by now a reality. Still, their adoption in the survey coding industry has been less widespread than it might have been. Among the factors that have hindered a more massive takeup of this technology are the effort involved in manually coding a sufficient amount of training data, the fact that small studies do not seem to justify this effort, and the fact that the process needs to be repeated anew when brand new coding tasks arise. In this paper we will argue for an approach to build"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12110","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1903.12110/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:15:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MuVM6z2c5LzzwsZxXOHOprl80c5WnuKl53r2qQMe5NhLmnBA4z6sYNLD/0zm5sI2Ek+4MJDMCUnNRjcb70gUBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T17:47:15.213828Z"},"content_sha256":"002e10f8d64b520e257bb240d9a08d433b43e370ab8c9330489a5898b04501d5","schema_version":"1.0","event_id":"sha256:002e10f8d64b520e257bb240d9a08d433b43e370ab8c9330489a5898b04501d5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NVHK2DMEQWGZSHPZX63PB65XDZ/bundle.json","state_url":"https://pith.science/pith/NVHK2DMEQWGZSHPZX63PB65XDZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NVHK2DMEQWGZSHPZX63PB65XDZ/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":"2026-07-31T17:47:15Z","links":{"resolver":"https://pith.science/pith/NVHK2DMEQWGZSHPZX63PB65XDZ","bundle":"https://pith.science/pith/NVHK2DMEQWGZSHPZX63PB65XDZ/bundle.json","state":"https://pith.science/pith/NVHK2DMEQWGZSHPZX63PB65XDZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NVHK2DMEQWGZSHPZX63PB65XDZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NVHK2DMEQWGZSHPZX63PB65XDZ","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":"3a7ef03e2936e72a6deef8dd1317dc43d14a45c6a3ae976b0305df1ecb37398a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-28T16:51:17Z","title_canon_sha256":"f3df57697f0e8cdbc8fba0a88385df903ad83bf03580f269becdd97a5834fcdd"},"schema_version":"1.0","source":{"id":"1903.12110","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12110","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12110v1","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12110","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"pith_short_12","alias_value":"NVHK2DMEQWGZ","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"pith_short_16","alias_value":"NVHK2DMEQWGZSHPZ","created_at":"2026-07-05T03:15:49Z"},{"alias_kind":"pith_short_8","alias_value":"NVHK2DME","created_at":"2026-07-05T03:15:49Z"}],"graph_snapshots":[{"event_id":"sha256:002e10f8d64b520e257bb240d9a08d433b43e370ab8c9330489a5898b04501d5","target":"graph","created_at":"2026-07-05T03:15:49Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1903.12110/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Software systems trained via machine learning to automatically classify open-ended answers (a.k.a. verbatims) are by now a reality. Still, their adoption in the survey coding industry has been less widespread than it might have been. Among the factors that have hindered a more massive takeup of this technology are the effort involved in manually coding a sufficient amount of training data, the fact that small studies do not seem to justify this effort, and the fact that the process needs to be repeated anew when brand new coding tasks arise. In this paper we will argue for an approach to build","authors_text":"Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-28T16:51:17Z","title":"Building Automated Survey Coders via Interactive Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12110","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":"sha256:38a61ee5dd0fee9c8164db066693ddf039c8f2924c0ced2e3bc50382effa0c5b","target":"record","created_at":"2026-07-05T03:15:49Z","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":"3a7ef03e2936e72a6deef8dd1317dc43d14a45c6a3ae976b0305df1ecb37398a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-28T16:51:17Z","title_canon_sha256":"f3df57697f0e8cdbc8fba0a88385df903ad83bf03580f269becdd97a5834fcdd"},"schema_version":"1.0","source":{"id":"1903.12110","kind":"arxiv","version":1}},"canonical_sha256":"6d4ead0d84858d991df9bfb6f0fbb71e61b1081346c79ca4a79797cabac80872","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d4ead0d84858d991df9bfb6f0fbb71e61b1081346c79ca4a79797cabac80872","first_computed_at":"2026-07-05T03:15:49.777016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:15:49.777016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9vcDIOTIwvaNwDRwbX5vQTZytr2rRgSU2dhaupHMHUlu3ZjKeA/7HcFC39SqIpByXoEX6UG0a77RgI2NVDDaBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:15:49.777517Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.12110","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38a61ee5dd0fee9c8164db066693ddf039c8f2924c0ced2e3bc50382effa0c5b","sha256:002e10f8d64b520e257bb240d9a08d433b43e370ab8c9330489a5898b04501d5"],"state_sha256":"25a2d087f080f7e473981d7098564ed5cf9509efc6a964f3c834f74befdaae4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SQXPFphZtiwsCE4kXmEfFci4e3uI2k03ViAXdcEsxAnOmXn9LLlFMgG5Uw2pFZ5xn2Nu+lTsOOd4BfBIogvwCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T17:47:15.224644Z","bundle_sha256":"ecbf14ef0db80103c7546601f8f4b8a4ad0514b1239b0e8aae183833bc1f9b01"}}