{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4UKFGPAYFML7FIOSHWGC4GTH7U","short_pith_number":"pith:4UKFGPAY","canonical_record":{"source":{"id":"1706.06996","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-21T16:37:54Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"134394a8f25b44a8eb22b0b02ced6f895e79631028559d997f076105996c416b","abstract_canon_sha256":"15ad424fb4ac29b290db3a39a405faa3b605847b71bff0bf1580d76d7f8116aa"},"schema_version":"1.0"},"canonical_sha256":"e514533c182b17f2a1d23d8c2e1a67fd2a254b87fcb544f9f05e82f8b13b8b8e","source":{"kind":"arxiv","id":"1706.06996","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06996","created_at":"2026-05-17T23:52:08Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06996v2","created_at":"2026-05-17T23:52:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06996","created_at":"2026-05-17T23:52:08Z"},{"alias_kind":"pith_short_12","alias_value":"4UKFGPAYFML7","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4UKFGPAYFML7FIOS","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4UKFGPAY","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4UKFGPAYFML7FIOSHWGC4GTH7U","target":"record","payload":{"canonical_record":{"source":{"id":"1706.06996","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-21T16:37:54Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"134394a8f25b44a8eb22b0b02ced6f895e79631028559d997f076105996c416b","abstract_canon_sha256":"15ad424fb4ac29b290db3a39a405faa3b605847b71bff0bf1580d76d7f8116aa"},"schema_version":"1.0"},"canonical_sha256":"e514533c182b17f2a1d23d8c2e1a67fd2a254b87fcb544f9f05e82f8b13b8b8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:08.464658Z","signature_b64":"iM5DQ9sKP1VZ/ZATSBrSDb4fqxFu70aYTnmDjUgTkbGB1ltE3627ZdZQpk76/faeN3UI6JQCIJOFrT9Utu3DCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e514533c182b17f2a1d23d8c2e1a67fd2a254b87fcb544f9f05e82f8b13b8b8e","last_reissued_at":"2026-05-17T23:52:08.464192Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:08.464192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.06996","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":"2026-05-17T23:52:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lfRjzdNJ0iH4L1namNwSXo++3UclQ2D0mx3gXF1BIsOGQCWQwKsQn/8t/+b8oyehGPgdW/0NG+NGvdo/paThCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T13:55:48.559460Z"},"content_sha256":"fcc1ce8578182d20e57b242e94f85265f74fdc878e6bfec187b5c6208e09f98a","schema_version":"1.0","event_id":"sha256:fcc1ce8578182d20e57b242e94f85265f74fdc878e6bfec187b5c6208e09f98a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4UKFGPAYFML7FIOSHWGC4GTH7U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Statistical Inferences for Polarity Identification in Natural Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"cs.CL","authors_text":"Dirk Neumann, Nicolas Pr\\\"ollochs, Stefan Feuerriegel","submitted_at":"2017-06-21T16:37:54Z","abstract_excerpt":"Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions. In order to facilitate this task, this work proposes a novel method of studying the reception of granular expressions in natural language. The approach utilizes LASSO regularization as a statistical tool to extract decisive words from textual content and draw statistical inferences based on the correspondence between the occurrences of words and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06996","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":"2026-05-17T23:52:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cLCEyd3fczS1/cVyOZhAzG1IEH2oYTab0C6rw20KlvQWv1AD7ls1Ax8/PzM8B3xNdXCdI0BKcC/pPW0xlAEmAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T13:55:48.559798Z"},"content_sha256":"f6cc235057f16d3d826ec381956a0c2b95c6e0700a9863bbdf43e238468df774","schema_version":"1.0","event_id":"sha256:f6cc235057f16d3d826ec381956a0c2b95c6e0700a9863bbdf43e238468df774"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4UKFGPAYFML7FIOSHWGC4GTH7U/bundle.json","state_url":"https://pith.science/pith/4UKFGPAYFML7FIOSHWGC4GTH7U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4UKFGPAYFML7FIOSHWGC4GTH7U/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":"2026-06-09T13:55:48Z","links":{"resolver":"https://pith.science/pith/4UKFGPAYFML7FIOSHWGC4GTH7U","bundle":"https://pith.science/pith/4UKFGPAYFML7FIOSHWGC4GTH7U/bundle.json","state":"https://pith.science/pith/4UKFGPAYFML7FIOSHWGC4GTH7U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4UKFGPAYFML7FIOSHWGC4GTH7U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4UKFGPAYFML7FIOSHWGC4GTH7U","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":"15ad424fb4ac29b290db3a39a405faa3b605847b71bff0bf1580d76d7f8116aa","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-21T16:37:54Z","title_canon_sha256":"134394a8f25b44a8eb22b0b02ced6f895e79631028559d997f076105996c416b"},"schema_version":"1.0","source":{"id":"1706.06996","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06996","created_at":"2026-05-17T23:52:08Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06996v2","created_at":"2026-05-17T23:52:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06996","created_at":"2026-05-17T23:52:08Z"},{"alias_kind":"pith_short_12","alias_value":"4UKFGPAYFML7","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4UKFGPAYFML7FIOS","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4UKFGPAY","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:f6cc235057f16d3d826ec381956a0c2b95c6e0700a9863bbdf43e238468df774","target":"graph","created_at":"2026-05-17T23:52:08Z","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":"Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions. In order to facilitate this task, this work proposes a novel method of studying the reception of granular expressions in natural language. The approach utilizes LASSO regularization as a statistical tool to extract decisive words from textual content and draw statistical inferences based on the correspondence between the occurrences of words and","authors_text":"Dirk Neumann, Nicolas Pr\\\"ollochs, Stefan Feuerriegel","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-21T16:37:54Z","title":"Statistical Inferences for Polarity Identification in Natural Language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06996","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:fcc1ce8578182d20e57b242e94f85265f74fdc878e6bfec187b5c6208e09f98a","target":"record","created_at":"2026-05-17T23:52:08Z","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":"15ad424fb4ac29b290db3a39a405faa3b605847b71bff0bf1580d76d7f8116aa","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-21T16:37:54Z","title_canon_sha256":"134394a8f25b44a8eb22b0b02ced6f895e79631028559d997f076105996c416b"},"schema_version":"1.0","source":{"id":"1706.06996","kind":"arxiv","version":2}},"canonical_sha256":"e514533c182b17f2a1d23d8c2e1a67fd2a254b87fcb544f9f05e82f8b13b8b8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e514533c182b17f2a1d23d8c2e1a67fd2a254b87fcb544f9f05e82f8b13b8b8e","first_computed_at":"2026-05-17T23:52:08.464192Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:08.464192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iM5DQ9sKP1VZ/ZATSBrSDb4fqxFu70aYTnmDjUgTkbGB1ltE3627ZdZQpk76/faeN3UI6JQCIJOFrT9Utu3DCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:08.464658Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.06996","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fcc1ce8578182d20e57b242e94f85265f74fdc878e6bfec187b5c6208e09f98a","sha256:f6cc235057f16d3d826ec381956a0c2b95c6e0700a9863bbdf43e238468df774"],"state_sha256":"9449d1f4443527fc9e9207817c853326edeb6bd235a000bc18db21df0995eb24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DnUvYbNdofSsMhDxcGClFBpLYuKA1b3xuWpS9eX9VX3R+kWOfFhlMs5PcSWMkP5FarAOboZSkri9wC06twUICw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T13:55:48.561798Z","bundle_sha256":"9ed5fe89f177f8f48ce95bca4eb4113d4b1e9c529dc2ea5e0de1fab2f062bab7"}}