{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:U3AYVM4FEMZ4TQ5CXJJIAMGBF2","short_pith_number":"pith:U3AYVM4F","canonical_record":{"source":{"id":"1803.06745","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-03-18T21:32:07Z","cross_cats_sorted":[],"title_canon_sha256":"e2062a3721f56e0e076f5d50d6a22d5e07f05c04fb3e8db395849afbe8422038","abstract_canon_sha256":"f97978ea87fa4c2e04ce71a9616c8136e034285e86bc81a5cb238c2ba3982b77"},"schema_version":"1.0"},"canonical_sha256":"a6c18ab3852333c9c3a2ba528030c12e96f089c7fa296395f64fc5fe7fbdb4f5","source":{"kind":"arxiv","id":"1803.06745","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06745","created_at":"2026-05-18T00:20:43Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06745v1","created_at":"2026-05-18T00:20:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06745","created_at":"2026-05-18T00:20:43Z"},{"alias_kind":"pith_short_12","alias_value":"U3AYVM4FEMZ4","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"U3AYVM4FEMZ4TQ5C","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"U3AYVM4F","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:U3AYVM4FEMZ4TQ5CXJJIAMGBF2","target":"record","payload":{"canonical_record":{"source":{"id":"1803.06745","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-03-18T21:32:07Z","cross_cats_sorted":[],"title_canon_sha256":"e2062a3721f56e0e076f5d50d6a22d5e07f05c04fb3e8db395849afbe8422038","abstract_canon_sha256":"f97978ea87fa4c2e04ce71a9616c8136e034285e86bc81a5cb238c2ba3982b77"},"schema_version":"1.0"},"canonical_sha256":"a6c18ab3852333c9c3a2ba528030c12e96f089c7fa296395f64fc5fe7fbdb4f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:43.896900Z","signature_b64":"k8+8AqrFq0tz/omN+b2C5BwJ2d9QyUNdpfRKlzTF7Hyy5aYMHufYu+CppHIhTVSNi0KU52s+aOZcDEttt+hKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6c18ab3852333c9c3a2ba528030c12e96f089c7fa296395f64fc5fe7fbdb4f5","last_reissued_at":"2026-05-18T00:20:43.896345Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:43.896345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.06745","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":"2026-05-18T00:20:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KwSEAR3ZZqjlbp93H7OyqG87P5skrMbIF0YS7UY6VFWZznw8JU166qGOs99iEiaTHPyc3+vnXTZqUUSyBc+nBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T05:53:27.847867Z"},"content_sha256":"d78dd5d86b3f249158e5f496d2b2ff9b6714a0db293c4875eb8f5353708e0c68","schema_version":"1.0","event_id":"sha256:d78dd5d86b3f249158e5f496d2b2ff9b6714a0db293c4875eb8f5353708e0c68"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:U3AYVM4FEMZ4TQ5CXJJIAMGBF2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Amitava Das, Braja Gopal Patra, Dipankar Das","submitted_at":"2018-03-18T21:32:07Z","abstract_excerpt":"Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficult when the data is noisy and collected from social media. India is a multilingual country; people use more than one languages to communicate within themselves. The switching in between the languages is called code-switching or code-mixing, depending upon the type of mixing. This paper presents overview of the shared task on sentiment analysis of code-mixed data pairs of Hindi-English and Bengali-English collected fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06745","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":"2026-05-18T00:20:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mUAsQ9ab7lJX+T5H1CY6Np1rcn2sVCw3KS37I6PmGwDALGNm59XVq5TCfRTplTmYwrAzi3Zhm+g8l1wLeG1DCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T05:53:27.848626Z"},"content_sha256":"f85f4292b3f95903f506af1a91a25a3c272222e377d855a4cbe8a6e0cfcd208f","schema_version":"1.0","event_id":"sha256:f85f4292b3f95903f506af1a91a25a3c272222e377d855a4cbe8a6e0cfcd208f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2/bundle.json","state_url":"https://pith.science/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2/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":"2026-06-10T05:53:27Z","links":{"resolver":"https://pith.science/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2","bundle":"https://pith.science/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2/bundle.json","state":"https://pith.science/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U3AYVM4FEMZ4TQ5CXJJIAMGBF2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:U3AYVM4FEMZ4TQ5CXJJIAMGBF2","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":"f97978ea87fa4c2e04ce71a9616c8136e034285e86bc81a5cb238c2ba3982b77","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-03-18T21:32:07Z","title_canon_sha256":"e2062a3721f56e0e076f5d50d6a22d5e07f05c04fb3e8db395849afbe8422038"},"schema_version":"1.0","source":{"id":"1803.06745","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06745","created_at":"2026-05-18T00:20:43Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06745v1","created_at":"2026-05-18T00:20:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06745","created_at":"2026-05-18T00:20:43Z"},{"alias_kind":"pith_short_12","alias_value":"U3AYVM4FEMZ4","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"U3AYVM4FEMZ4TQ5C","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"U3AYVM4F","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:f85f4292b3f95903f506af1a91a25a3c272222e377d855a4cbe8a6e0cfcd208f","target":"graph","created_at":"2026-05-18T00:20:43Z","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":"Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficult when the data is noisy and collected from social media. India is a multilingual country; people use more than one languages to communicate within themselves. The switching in between the languages is called code-switching or code-mixing, depending upon the type of mixing. This paper presents overview of the shared task on sentiment analysis of code-mixed data pairs of Hindi-English and Bengali-English collected fr","authors_text":"Amitava Das, Braja Gopal Patra, Dipankar Das","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-03-18T21:32:07Z","title":"Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06745","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:d78dd5d86b3f249158e5f496d2b2ff9b6714a0db293c4875eb8f5353708e0c68","target":"record","created_at":"2026-05-18T00:20:43Z","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":"f97978ea87fa4c2e04ce71a9616c8136e034285e86bc81a5cb238c2ba3982b77","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-03-18T21:32:07Z","title_canon_sha256":"e2062a3721f56e0e076f5d50d6a22d5e07f05c04fb3e8db395849afbe8422038"},"schema_version":"1.0","source":{"id":"1803.06745","kind":"arxiv","version":1}},"canonical_sha256":"a6c18ab3852333c9c3a2ba528030c12e96f089c7fa296395f64fc5fe7fbdb4f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6c18ab3852333c9c3a2ba528030c12e96f089c7fa296395f64fc5fe7fbdb4f5","first_computed_at":"2026-05-18T00:20:43.896345Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:43.896345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k8+8AqrFq0tz/omN+b2C5BwJ2d9QyUNdpfRKlzTF7Hyy5aYMHufYu+CppHIhTVSNi0KU52s+aOZcDEttt+hKCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:43.896900Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.06745","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d78dd5d86b3f249158e5f496d2b2ff9b6714a0db293c4875eb8f5353708e0c68","sha256:f85f4292b3f95903f506af1a91a25a3c272222e377d855a4cbe8a6e0cfcd208f"],"state_sha256":"a2f68a4111dabc54f4cb19f221ae34f6a2fdebfae27b34c71481f7547e999394"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vTGs7+9y+ulExCMsPpDDVaNQqtTPe18Hgw+Z15WrcNpUK2yCrrvPMTVI1RsoD7dmX2w8IaX4NhbMAeoAAZjBCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T05:53:27.852719Z","bundle_sha256":"b45f11fb14df162b6d40def9c946b19f64990ce3a9f47a822e31dd97a60c12b3"}}