{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3XIHGITOXFH2RQO6IGPWWWPEN7","short_pith_number":"pith:3XIHGITO","canonical_record":{"source":{"id":"2504.09257","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-12T15:31:40Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8393021bbc894fc31f505b08b42d743e4864ac700cdc591177540872cd57e043","abstract_canon_sha256":"3159ec331926ee0b1e5646af45981e72f54618d781c56e8fc87a4038fd2f6cc6"},"schema_version":"1.0"},"canonical_sha256":"ddd073226eb94fa8c1de419f6b59e46fe15ba6309a9508622229ac01e28a6505","source":{"kind":"arxiv","id":"2504.09257","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09257","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09257v1","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09257","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"pith_short_12","alias_value":"3XIHGITOXFH2","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"pith_short_16","alias_value":"3XIHGITOXFH2RQO6","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"pith_short_8","alias_value":"3XIHGITO","created_at":"2026-07-05T10:48:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3XIHGITOXFH2RQO6IGPWWWPEN7","target":"record","payload":{"canonical_record":{"source":{"id":"2504.09257","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-12T15:31:40Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8393021bbc894fc31f505b08b42d743e4864ac700cdc591177540872cd57e043","abstract_canon_sha256":"3159ec331926ee0b1e5646af45981e72f54618d781c56e8fc87a4038fd2f6cc6"},"schema_version":"1.0"},"canonical_sha256":"ddd073226eb94fa8c1de419f6b59e46fe15ba6309a9508622229ac01e28a6505","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:34.134240Z","signature_b64":"iojJUGK42s5uDL9nimxSKyRwQT+lQorA4s/lzeSMZTTOiZxs/z/M1MH7PfZoxeLP9K+XzfhHxuzystzHps4cBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ddd073226eb94fa8c1de419f6b59e46fe15ba6309a9508622229ac01e28a6505","last_reissued_at":"2026-07-05T10:48:34.133815Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:34.133815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.09257","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":"2026-07-05T10:48:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z3GbCq6mL5TugCZ/x1+6ycYyCFl7WJwxCaredPk/zDb9l19pLjgePQK3/2gH3WQsNCdLhNmV27NTpEpkuVFzCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:23:09.429322Z"},"content_sha256":"2f251b5dea55e65bb4dc529425a492649cba26745004e5b06596acdc6075c502","schema_version":"1.0","event_id":"sha256:2f251b5dea55e65bb4dc529425a492649cba26745004e5b06596acdc6075c502"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3XIHGITOXFH2RQO6IGPWWWPEN7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Arnab Maji, Sohom Ghosh, Sudip Kumar Naskar","submitted_at":"2025-04-12T15:31:40Z","abstract_excerpt":"Predicting stock market prices following corporate earnings calls remains a significant challenge for investors and researchers alike, requiring innovative approaches that can process diverse information sources. This study investigates the impact of corporate earnings calls on stock prices by introducing a multi-modal predictive model. We leverage textual data from earnings call transcripts, along with images and tables from accompanying presentations, to forecast stock price movements on the trading day immediately following these calls. To facilitate this research, we developed the MiMIC (M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09257","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/2504.09257/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":"2026-07-05T10:48:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yj2v7tdk0zvV8bzMFzmPi8JHQTnVk/G5u6Njt8rEeaRJWRW4FCuyq/WhN0VIhvQNOFJr9b7NEveOMWmh3uxXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:23:09.429871Z"},"content_sha256":"980c04be2bf649e854a5e99b2c208819584b6946ba0fd7b5f6de3056681f132e","schema_version":"1.0","event_id":"sha256:980c04be2bf649e854a5e99b2c208819584b6946ba0fd7b5f6de3056681f132e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3XIHGITOXFH2RQO6IGPWWWPEN7/bundle.json","state_url":"https://pith.science/pith/3XIHGITOXFH2RQO6IGPWWWPEN7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3XIHGITOXFH2RQO6IGPWWWPEN7/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":"2026-08-03T15:23:09Z","links":{"resolver":"https://pith.science/pith/3XIHGITOXFH2RQO6IGPWWWPEN7","bundle":"https://pith.science/pith/3XIHGITOXFH2RQO6IGPWWWPEN7/bundle.json","state":"https://pith.science/pith/3XIHGITOXFH2RQO6IGPWWWPEN7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3XIHGITOXFH2RQO6IGPWWWPEN7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3XIHGITOXFH2RQO6IGPWWWPEN7","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":"3159ec331926ee0b1e5646af45981e72f54618d781c56e8fc87a4038fd2f6cc6","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-12T15:31:40Z","title_canon_sha256":"8393021bbc894fc31f505b08b42d743e4864ac700cdc591177540872cd57e043"},"schema_version":"1.0","source":{"id":"2504.09257","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09257","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09257v1","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09257","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"pith_short_12","alias_value":"3XIHGITOXFH2","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"pith_short_16","alias_value":"3XIHGITOXFH2RQO6","created_at":"2026-07-05T10:48:34Z"},{"alias_kind":"pith_short_8","alias_value":"3XIHGITO","created_at":"2026-07-05T10:48:34Z"}],"graph_snapshots":[{"event_id":"sha256:980c04be2bf649e854a5e99b2c208819584b6946ba0fd7b5f6de3056681f132e","target":"graph","created_at":"2026-07-05T10:48:34Z","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/2504.09257/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting stock market prices following corporate earnings calls remains a significant challenge for investors and researchers alike, requiring innovative approaches that can process diverse information sources. This study investigates the impact of corporate earnings calls on stock prices by introducing a multi-modal predictive model. We leverage textual data from earnings call transcripts, along with images and tables from accompanying presentations, to forecast stock price movements on the trading day immediately following these calls. To facilitate this research, we developed the MiMIC (M","authors_text":"Arnab Maji, Sohom Ghosh, Sudip Kumar Naskar","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-12T15:31:40Z","title":"MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09257","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":"sha256:2f251b5dea55e65bb4dc529425a492649cba26745004e5b06596acdc6075c502","target":"record","created_at":"2026-07-05T10:48:34Z","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":"3159ec331926ee0b1e5646af45981e72f54618d781c56e8fc87a4038fd2f6cc6","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-12T15:31:40Z","title_canon_sha256":"8393021bbc894fc31f505b08b42d743e4864ac700cdc591177540872cd57e043"},"schema_version":"1.0","source":{"id":"2504.09257","kind":"arxiv","version":1}},"canonical_sha256":"ddd073226eb94fa8c1de419f6b59e46fe15ba6309a9508622229ac01e28a6505","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddd073226eb94fa8c1de419f6b59e46fe15ba6309a9508622229ac01e28a6505","first_computed_at":"2026-07-05T10:48:34.133815Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:48:34.133815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iojJUGK42s5uDL9nimxSKyRwQT+lQorA4s/lzeSMZTTOiZxs/z/M1MH7PfZoxeLP9K+XzfhHxuzystzHps4cBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:48:34.134240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.09257","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f251b5dea55e65bb4dc529425a492649cba26745004e5b06596acdc6075c502","sha256:980c04be2bf649e854a5e99b2c208819584b6946ba0fd7b5f6de3056681f132e"],"state_sha256":"60962dd41d48a55bd1da3913a9345327f22409691531ab2f9eefab1a4c171377"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L+dg/WEPkvecEXiuJpazqTWCebFCXOjhcEk3uqlydtEkBDBhDgWUykX1PwJ0GbKby6gIggptrGzUXjYOHumJDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:23:09.436320Z","bundle_sha256":"e921dd21d917053f88930b263f9cf48a9015c320e1882171210633658666da82"}}