{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:DUH4SHCLYSCV273AXAYEVVIFWD","short_pith_number":"pith:DUH4SHCL","canonical_record":{"source":{"id":"2110.00031","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-30T18:03:10Z","cross_cats_sorted":[],"title_canon_sha256":"430521750648e36bcd83e5a53dd35327b87435ad4b39c2edc065595e8d5ce4f5","abstract_canon_sha256":"b69a66078feabefd20de3fe0be5a63112a7c4fba519fab95e5e888afd29683e1"},"schema_version":"1.0"},"canonical_sha256":"1d0fc91c4bc4855d7f60b8304ad505b0cc02c6c87857eec2616279fd9d8cd188","source":{"kind":"arxiv","id":"2110.00031","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.00031","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"arxiv_version","alias_value":"2110.00031v2","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.00031","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"pith_short_12","alias_value":"DUH4SHCLYSCV","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"pith_short_16","alias_value":"DUH4SHCLYSCV273A","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"pith_short_8","alias_value":"DUH4SHCL","created_at":"2026-07-05T03:44:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:DUH4SHCLYSCV273AXAYEVVIFWD","target":"record","payload":{"canonical_record":{"source":{"id":"2110.00031","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-30T18:03:10Z","cross_cats_sorted":[],"title_canon_sha256":"430521750648e36bcd83e5a53dd35327b87435ad4b39c2edc065595e8d5ce4f5","abstract_canon_sha256":"b69a66078feabefd20de3fe0be5a63112a7c4fba519fab95e5e888afd29683e1"},"schema_version":"1.0"},"canonical_sha256":"1d0fc91c4bc4855d7f60b8304ad505b0cc02c6c87857eec2616279fd9d8cd188","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:44:13.494379Z","signature_b64":"jHBS55marM3Ix//oq1lNoZfaeEiE2xCH1lNxvAclN3k3HdA8dquL5Taq3Ef1tuSTgutF9YL65t1SrJNg3KAaCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d0fc91c4bc4855d7f60b8304ad505b0cc02c6c87857eec2616279fd9d8cd188","last_reissued_at":"2026-07-05T03:44:13.493877Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:44:13.493877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.00031","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":"2026-07-05T03:44:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5uBealOo61sDOyDrvAZZ8nuZJH0JLLRgynjYa8DKYkMJiR//odOg3f/DbuSCj2SqY3vFtBIJohGLhk1vBu64Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:57:20.203085Z"},"content_sha256":"e2d0d00c00d7f7d36101809321e8fc6653d9e6e757bf3160dfd88bea434222d9","schema_version":"1.0","event_id":"sha256:e2d0d00c00d7f7d36101809321e8fc6653d9e6e757bf3160dfd88bea434222d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:DUH4SHCLYSCV273AXAYEVVIFWD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ambika Sadhu, Khushbu Pahwa, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi","submitted_at":"2021-09-30T18:03:10Z","abstract_excerpt":"The severity of the coronavirus pandemic necessitates the need of effective administrative decisions. Over 4 lakh people in India succumbed to COVID-19, with over 3 crore confirmed cases, and still counting. The threat of a plausible third wave continues to haunt millions. In this ever changing dynamic of the virus, predictive modeling methods can serve as an integral tool. The pandemic has further triggered an unprecedented usage of social media. This paper aims to propose a method for harnessing social media, specifically Twitter, to predict the upcoming scenarios related to COVID-19 cases. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.00031","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/2110.00031/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":"2026-07-05T03:44:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PB74U4q6z/GZxknHwKVP7fU0TyhkpUkpsFps72Aen8AymAt70pXTXoBvcQbZRhDe9oF0W8rBZDkvBgDxnaPiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:57:20.203489Z"},"content_sha256":"1930294a65ff632a984e0f6778de6067a758c982de2940c3c5459d23458b64f0","schema_version":"1.0","event_id":"sha256:1930294a65ff632a984e0f6778de6067a758c982de2940c3c5459d23458b64f0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DUH4SHCLYSCV273AXAYEVVIFWD/bundle.json","state_url":"https://pith.science/pith/DUH4SHCLYSCV273AXAYEVVIFWD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DUH4SHCLYSCV273AXAYEVVIFWD/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":"2026-07-06T15:57:20Z","links":{"resolver":"https://pith.science/pith/DUH4SHCLYSCV273AXAYEVVIFWD","bundle":"https://pith.science/pith/DUH4SHCLYSCV273AXAYEVVIFWD/bundle.json","state":"https://pith.science/pith/DUH4SHCLYSCV273AXAYEVVIFWD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DUH4SHCLYSCV273AXAYEVVIFWD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DUH4SHCLYSCV273AXAYEVVIFWD","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":"b69a66078feabefd20de3fe0be5a63112a7c4fba519fab95e5e888afd29683e1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-30T18:03:10Z","title_canon_sha256":"430521750648e36bcd83e5a53dd35327b87435ad4b39c2edc065595e8d5ce4f5"},"schema_version":"1.0","source":{"id":"2110.00031","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.00031","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"arxiv_version","alias_value":"2110.00031v2","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.00031","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"pith_short_12","alias_value":"DUH4SHCLYSCV","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"pith_short_16","alias_value":"DUH4SHCLYSCV273A","created_at":"2026-07-05T03:44:13Z"},{"alias_kind":"pith_short_8","alias_value":"DUH4SHCL","created_at":"2026-07-05T03:44:13Z"}],"graph_snapshots":[{"event_id":"sha256:1930294a65ff632a984e0f6778de6067a758c982de2940c3c5459d23458b64f0","target":"graph","created_at":"2026-07-05T03:44:13Z","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/2110.00031/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The severity of the coronavirus pandemic necessitates the need of effective administrative decisions. Over 4 lakh people in India succumbed to COVID-19, with over 3 crore confirmed cases, and still counting. The threat of a plausible third wave continues to haunt millions. In this ever changing dynamic of the virus, predictive modeling methods can serve as an integral tool. The pandemic has further triggered an unprecedented usage of social media. This paper aims to propose a method for harnessing social media, specifically Twitter, to predict the upcoming scenarios related to COVID-19 cases. ","authors_text":"Ambika Sadhu, Khushbu Pahwa, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-30T18:03:10Z","title":"Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.00031","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:e2d0d00c00d7f7d36101809321e8fc6653d9e6e757bf3160dfd88bea434222d9","target":"record","created_at":"2026-07-05T03:44:13Z","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":"b69a66078feabefd20de3fe0be5a63112a7c4fba519fab95e5e888afd29683e1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2021-09-30T18:03:10Z","title_canon_sha256":"430521750648e36bcd83e5a53dd35327b87435ad4b39c2edc065595e8d5ce4f5"},"schema_version":"1.0","source":{"id":"2110.00031","kind":"arxiv","version":2}},"canonical_sha256":"1d0fc91c4bc4855d7f60b8304ad505b0cc02c6c87857eec2616279fd9d8cd188","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d0fc91c4bc4855d7f60b8304ad505b0cc02c6c87857eec2616279fd9d8cd188","first_computed_at":"2026-07-05T03:44:13.493877Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:44:13.493877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jHBS55marM3Ix//oq1lNoZfaeEiE2xCH1lNxvAclN3k3HdA8dquL5Taq3Ef1tuSTgutF9YL65t1SrJNg3KAaCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:44:13.494379Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.00031","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2d0d00c00d7f7d36101809321e8fc6653d9e6e757bf3160dfd88bea434222d9","sha256:1930294a65ff632a984e0f6778de6067a758c982de2940c3c5459d23458b64f0"],"state_sha256":"f829cf172cd95009d4476e9d3c3c5d3da5e2807e471b83e398f749c89ebd8423"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qp+1GjbILT7jVWYhYc4T7WTLkuRitED1JqFfpMEVvJHILhFbTMtXfQ7SgK7bvPxEq9gQ/NFtu3WUI0PxPMaLAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:57:20.205466Z","bundle_sha256":"8a1e20d88aa0dd97c63e6379af93ba3938909323def697e5864a11b5bada37fb"}}