{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TZ52O4Z33RPVO7AKF3AQZFA3AO","short_pith_number":"pith:TZ52O4Z3","canonical_record":{"source":{"id":"2105.12825","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-26T20:39:40Z","cross_cats_sorted":["q-fin.CP","q-fin.TR"],"title_canon_sha256":"854aa66f161c8ba809adae421c5c774d6eccb1c7e8d98afae579e8cd9a85b297","abstract_canon_sha256":"3a081ed98951db89a8def5aa7501f5d617b2830f25420daba7d40c05aa443feb"},"schema_version":"1.0"},"canonical_sha256":"9e7ba7733bdc5f577c0a2ec10c941b03b78209393cdf20d82129031fe3c3ebbb","source":{"kind":"arxiv","id":"2105.12825","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.12825","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"arxiv_version","alias_value":"2105.12825v2","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.12825","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"pith_short_12","alias_value":"TZ52O4Z33RPV","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"pith_short_16","alias_value":"TZ52O4Z33RPVO7AK","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"pith_short_8","alias_value":"TZ52O4Z3","created_at":"2026-07-05T02:44:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TZ52O4Z33RPVO7AKF3AQZFA3AO","target":"record","payload":{"canonical_record":{"source":{"id":"2105.12825","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-26T20:39:40Z","cross_cats_sorted":["q-fin.CP","q-fin.TR"],"title_canon_sha256":"854aa66f161c8ba809adae421c5c774d6eccb1c7e8d98afae579e8cd9a85b297","abstract_canon_sha256":"3a081ed98951db89a8def5aa7501f5d617b2830f25420daba7d40c05aa443feb"},"schema_version":"1.0"},"canonical_sha256":"9e7ba7733bdc5f577c0a2ec10c941b03b78209393cdf20d82129031fe3c3ebbb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:44:07.239196Z","signature_b64":"/ZWSqz8JqhNxGeJQh3zw/FAoeIHHomzwmgIPJMG/+50DuHp4FWZoqZHqY2FBAJTUAC+mvz5go6JxsXKpeOBqBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e7ba7733bdc5f577c0a2ec10c941b03b78209393cdf20d82129031fe3c3ebbb","last_reissued_at":"2026-07-05T02:44:07.238798Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:44:07.238798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.12825","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":"2026-07-05T02:44:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oFsSKc4w1DCEJbe2ph24fHWO7QxwGYt+xCoYjgo+C7kiED+DaF3T406GeiY76uP+dQmRgO8q+D+bdMzjiWlEDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T16:11:42.311983Z"},"content_sha256":"2a1ff864756a1062d20b4e20806e8a60677cd9e75bc6e45895bb78c37c7e9e60","schema_version":"1.0","event_id":"sha256:2a1ff864756a1062d20b4e20806e8a60677cd9e75bc6e45895bb78c37c7e9e60"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TZ52O4Z33RPVO7AKF3AQZFA3AO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.CP","q-fin.TR"],"primary_cat":"cs.CL","authors_text":"Han Liu, Liqian Ma, Zhihan Zhou","submitted_at":"2021-05-26T20:39:40Z","abstract_excerpt":"In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles. Unlike existing models that utilize textual features (e.g., bag-of-words) and sentiments to directly make stock predictions, we consider corporate events as the driving force behind stock movements and aim to profit from the temporary stock mispricing that may occur when corporate events take place. The core of the proposed strategy is a bi-level event detection model. The low-level event detector identifies events' existences from each token, while the h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.12825","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2105.12825/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":"2026-07-05T02:44:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N9NaOYdZufqusTzmnBYtX8FS9t8OnblbWhGU578UaEsB8xpCmWSN2oOL9Z1VbK4RNKhFgmOTgvD+oBZZ8XAZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T16:11:42.312533Z"},"content_sha256":"512cb44d9d45c3cb924d9705f064730b17abbfc3d9336db6ae025e5473dfb4fb","schema_version":"1.0","event_id":"sha256:512cb44d9d45c3cb924d9705f064730b17abbfc3d9336db6ae025e5473dfb4fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO/bundle.json","state_url":"https://pith.science/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO/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":"2026-08-18T16:11:42Z","links":{"resolver":"https://pith.science/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO","bundle":"https://pith.science/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO/bundle.json","state":"https://pith.science/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TZ52O4Z33RPVO7AKF3AQZFA3AO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TZ52O4Z33RPVO7AKF3AQZFA3AO","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":"3a081ed98951db89a8def5aa7501f5d617b2830f25420daba7d40c05aa443feb","cross_cats_sorted":["q-fin.CP","q-fin.TR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-26T20:39:40Z","title_canon_sha256":"854aa66f161c8ba809adae421c5c774d6eccb1c7e8d98afae579e8cd9a85b297"},"schema_version":"1.0","source":{"id":"2105.12825","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.12825","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"arxiv_version","alias_value":"2105.12825v2","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.12825","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"pith_short_12","alias_value":"TZ52O4Z33RPV","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"pith_short_16","alias_value":"TZ52O4Z33RPVO7AK","created_at":"2026-07-05T02:44:07Z"},{"alias_kind":"pith_short_8","alias_value":"TZ52O4Z3","created_at":"2026-07-05T02:44:07Z"}],"graph_snapshots":[{"event_id":"sha256:512cb44d9d45c3cb924d9705f064730b17abbfc3d9336db6ae025e5473dfb4fb","target":"graph","created_at":"2026-07-05T02:44:07Z","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/2105.12825/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles. Unlike existing models that utilize textual features (e.g., bag-of-words) and sentiments to directly make stock predictions, we consider corporate events as the driving force behind stock movements and aim to profit from the temporary stock mispricing that may occur when corporate events take place. The core of the proposed strategy is a bi-level event detection model. The low-level event detector identifies events' existences from each token, while the h","authors_text":"Han Liu, Liqian Ma, Zhihan Zhou","cross_cats":["q-fin.CP","q-fin.TR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-26T20:39:40Z","title":"Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.12825","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":"sha256:2a1ff864756a1062d20b4e20806e8a60677cd9e75bc6e45895bb78c37c7e9e60","target":"record","created_at":"2026-07-05T02:44:07Z","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":"3a081ed98951db89a8def5aa7501f5d617b2830f25420daba7d40c05aa443feb","cross_cats_sorted":["q-fin.CP","q-fin.TR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-05-26T20:39:40Z","title_canon_sha256":"854aa66f161c8ba809adae421c5c774d6eccb1c7e8d98afae579e8cd9a85b297"},"schema_version":"1.0","source":{"id":"2105.12825","kind":"arxiv","version":2}},"canonical_sha256":"9e7ba7733bdc5f577c0a2ec10c941b03b78209393cdf20d82129031fe3c3ebbb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e7ba7733bdc5f577c0a2ec10c941b03b78209393cdf20d82129031fe3c3ebbb","first_computed_at":"2026-07-05T02:44:07.238798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:07.238798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/ZWSqz8JqhNxGeJQh3zw/FAoeIHHomzwmgIPJMG/+50DuHp4FWZoqZHqY2FBAJTUAC+mvz5go6JxsXKpeOBqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:07.239196Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.12825","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a1ff864756a1062d20b4e20806e8a60677cd9e75bc6e45895bb78c37c7e9e60","sha256:512cb44d9d45c3cb924d9705f064730b17abbfc3d9336db6ae025e5473dfb4fb"],"state_sha256":"9e5d13afff51ac38cf2ddbc2941561d348af696decccaebfadedb539ffc4c00c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UmCBgB8rolWStcXuvqA0Se4x1E+y+2fbvJMg/+xwaAE87jBYfxzniNeVbEbcvjYUIbX48p0ZXLXjBbw5yYfbCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T16:11:42.319041Z","bundle_sha256":"5150774b26eebf8dcff452fb20fb4ebbee9e2b3b05f0f37c3594cf45ac17d5f6"}}