{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:O5DKSUWXG5GCVLQGECFCFOIMOK","short_pith_number":"pith:O5DKSUWX","canonical_record":{"source":{"id":"1605.01655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-05T17:07:54Z","cross_cats_sorted":[],"title_canon_sha256":"4515eeae0f132093b3b49951237c7e9a658eeed7afe1330c215fb2df975391e8","abstract_canon_sha256":"32ad6bd98d9cc7ef6282782d93c960191caf8f39d55be134f67d6e4c9e471457"},"schema_version":"1.0"},"canonical_sha256":"7746a952d7374c2aae06208a22b90c728b892ca5fb0a2c4b9994f1f35fed5aee","source":{"kind":"arxiv","id":"1605.01655","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.01655","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"1605.01655v1","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.01655","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"O5DKSUWXG5GC","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"O5DKSUWXG5GCVLQG","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"O5DKSUWX","created_at":"2026-05-18T12:30:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:O5DKSUWXG5GCVLQGECFCFOIMOK","target":"record","payload":{"canonical_record":{"source":{"id":"1605.01655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-05T17:07:54Z","cross_cats_sorted":[],"title_canon_sha256":"4515eeae0f132093b3b49951237c7e9a658eeed7afe1330c215fb2df975391e8","abstract_canon_sha256":"32ad6bd98d9cc7ef6282782d93c960191caf8f39d55be134f67d6e4c9e471457"},"schema_version":"1.0"},"canonical_sha256":"7746a952d7374c2aae06208a22b90c728b892ca5fb0a2c4b9994f1f35fed5aee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:15:33.063034Z","signature_b64":"csApVKMV32xnLOAi334DZ1BykhQJfNcRB/HZVzZpmTmukyWvgZI+lnqNkC6h2PuJG38bYRqrRwI+7h6LQA1QAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7746a952d7374c2aae06208a22b90c728b892ca5fb0a2c4b9994f1f35fed5aee","last_reissued_at":"2026-05-18T01:15:33.062413Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:15:33.062413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.01655","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":"2026-05-18T01:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ipo9sYHN+vLLn35yr+5qGYwOM8B236VJrpiYnBbF+nc1Nk0yVfK5MLavXCvO8mlWteSk91HyWZYLHwidF+phDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T16:25:29.396931Z"},"content_sha256":"3daef34fc123ec70d4d304f890caa15a56a7041954ff5f8a50ff763e3a216ac2","schema_version":"1.0","event_id":"sha256:3daef34fc123ec70d4d304f890caa15a56a7041954ff5f8a50ff763e3a216ac2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:O5DKSUWXG5GCVLQGECFCFOIMOK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stance and Sentiment in Tweets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Parinaz Sobhani, Saif M. Mohammad, Svetlana Kiritchenko","submitted_at":"2016-05-05T17:07:54Z","abstract_excerpt":"We can often detect from a person's utterances whether he/she is in favor of or against a given target entity -- their stance towards the target. However, a person may express the same stance towards a target by using negative or positive language. Here for the first time we present a dataset of tweet--target pairs annotated for both stance and sentiment. The targets may or may not be referred to in the tweets, and they may or may not be the target of opinion in the tweets. Partitions of this dataset were used as training and test sets in a SemEval-2016 shared task competition. We propose a si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.01655","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":"2026-05-18T01:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bzlAAH4TGwAKE0GUnwB87ratHPjP5mwKXT3r75Rpd0noQnbkt0MG618UzSFmFJk/D0qEPiCnPsiMjhBrL9nOBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T16:25:29.397294Z"},"content_sha256":"27f1f4a1bd8a9396b6b5190b154f8699b00c3d42036b5dae30296e0b164afdca","schema_version":"1.0","event_id":"sha256:27f1f4a1bd8a9396b6b5190b154f8699b00c3d42036b5dae30296e0b164afdca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O5DKSUWXG5GCVLQGECFCFOIMOK/bundle.json","state_url":"https://pith.science/pith/O5DKSUWXG5GCVLQGECFCFOIMOK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O5DKSUWXG5GCVLQGECFCFOIMOK/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":"2026-05-19T16:25:29Z","links":{"resolver":"https://pith.science/pith/O5DKSUWXG5GCVLQGECFCFOIMOK","bundle":"https://pith.science/pith/O5DKSUWXG5GCVLQGECFCFOIMOK/bundle.json","state":"https://pith.science/pith/O5DKSUWXG5GCVLQGECFCFOIMOK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O5DKSUWXG5GCVLQGECFCFOIMOK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:O5DKSUWXG5GCVLQGECFCFOIMOK","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":"32ad6bd98d9cc7ef6282782d93c960191caf8f39d55be134f67d6e4c9e471457","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-05T17:07:54Z","title_canon_sha256":"4515eeae0f132093b3b49951237c7e9a658eeed7afe1330c215fb2df975391e8"},"schema_version":"1.0","source":{"id":"1605.01655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.01655","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"1605.01655v1","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.01655","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"O5DKSUWXG5GC","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"O5DKSUWXG5GCVLQG","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"O5DKSUWX","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:27f1f4a1bd8a9396b6b5190b154f8699b00c3d42036b5dae30296e0b164afdca","target":"graph","created_at":"2026-05-18T01:15:33Z","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":"We can often detect from a person's utterances whether he/she is in favor of or against a given target entity -- their stance towards the target. However, a person may express the same stance towards a target by using negative or positive language. Here for the first time we present a dataset of tweet--target pairs annotated for both stance and sentiment. The targets may or may not be referred to in the tweets, and they may or may not be the target of opinion in the tweets. Partitions of this dataset were used as training and test sets in a SemEval-2016 shared task competition. We propose a si","authors_text":"Parinaz Sobhani, Saif M. Mohammad, Svetlana Kiritchenko","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-05T17:07:54Z","title":"Stance and Sentiment in Tweets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.01655","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":"sha256:3daef34fc123ec70d4d304f890caa15a56a7041954ff5f8a50ff763e3a216ac2","target":"record","created_at":"2026-05-18T01:15:33Z","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":"32ad6bd98d9cc7ef6282782d93c960191caf8f39d55be134f67d6e4c9e471457","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-05T17:07:54Z","title_canon_sha256":"4515eeae0f132093b3b49951237c7e9a658eeed7afe1330c215fb2df975391e8"},"schema_version":"1.0","source":{"id":"1605.01655","kind":"arxiv","version":1}},"canonical_sha256":"7746a952d7374c2aae06208a22b90c728b892ca5fb0a2c4b9994f1f35fed5aee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7746a952d7374c2aae06208a22b90c728b892ca5fb0a2c4b9994f1f35fed5aee","first_computed_at":"2026-05-18T01:15:33.062413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:15:33.062413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"csApVKMV32xnLOAi334DZ1BykhQJfNcRB/HZVzZpmTmukyWvgZI+lnqNkC6h2PuJG38bYRqrRwI+7h6LQA1QAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:15:33.063034Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.01655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3daef34fc123ec70d4d304f890caa15a56a7041954ff5f8a50ff763e3a216ac2","sha256:27f1f4a1bd8a9396b6b5190b154f8699b00c3d42036b5dae30296e0b164afdca"],"state_sha256":"d9c9d1b540244d66c2e2181c0ba6f14422bae4ca3c08fb20c70f1bdbbdaecee0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Gw3woB8pOrB8qyR2XQBF9Aa/PPzGK4G1NDRQSbND6AeD4IsR8ax7SWKimnXSiog5wwSpoDHzwZodG9PENjfBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T16:25:29.399967Z","bundle_sha256":"eb1c443fb26fd99f47e09a4485aa9d85a84f00df198f5226f7aecbdfbf4dec1e"}}