{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YMBQPHZJU5OSX7SFMOPO7MSCZ5","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":"97a03fca37bd278cf4cf46aea31ff79d075920b802887f799194358764f4ea97","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-19T19:04:05Z","title_canon_sha256":"8743b8fd8f5c61015209872e57818922d6013f4c1e89723103ebc673893ff8cd"},"schema_version":"1.0","source":{"id":"2204.09098","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.09098","created_at":"2026-07-05T04:16:20Z"},{"alias_kind":"arxiv_version","alias_value":"2204.09098v1","created_at":"2026-07-05T04:16:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.09098","created_at":"2026-07-05T04:16:20Z"},{"alias_kind":"pith_short_12","alias_value":"YMBQPHZJU5OS","created_at":"2026-07-05T04:16:20Z"},{"alias_kind":"pith_short_16","alias_value":"YMBQPHZJU5OSX7SF","created_at":"2026-07-05T04:16:20Z"},{"alias_kind":"pith_short_8","alias_value":"YMBQPHZJ","created_at":"2026-07-05T04:16:20Z"}],"graph_snapshots":[{"event_id":"sha256:b9e0d88918a65d5ab9b9e24e1df985839fd144b5e790792fe6bc37a4633e629f","target":"graph","created_at":"2026-07-05T04:16:20Z","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/2204.09098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a summary of the findings that we obtained based on the shared task on machine translation of Dravidian languages. We stood first in three of the five sub-tasks which were assigned to us for the main shared task. We carried out neural machine translation for the following five language pairs: Kannada to Tamil, Kannada to Telugu, Kannada to Malayalam, Kannada to Sanskrit, and Kannada to Tulu. The datasets for each of the five language pairs were used to train various translation models, including Seq2Seq models such as LSTM, bidirectional LSTM, Conv2Seq, and training state-o","authors_text":"Aditya Mandke, Aditya Vyawahare, Dipali Kadam, Onkar Litake, Rahul Tangsali","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-19T19:04:05Z","title":"PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.09098","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:ec4f833628193f92c75edc9d157be11ddcfcfbdbcaa3ccfef324bf91839e086f","target":"record","created_at":"2026-07-05T04:16:20Z","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":"97a03fca37bd278cf4cf46aea31ff79d075920b802887f799194358764f4ea97","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-19T19:04:05Z","title_canon_sha256":"8743b8fd8f5c61015209872e57818922d6013f4c1e89723103ebc673893ff8cd"},"schema_version":"1.0","source":{"id":"2204.09098","kind":"arxiv","version":1}},"canonical_sha256":"c303079f29a75d2bfe45639eefb242cf45a4c4d939ba984801a8fcb9617b652f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c303079f29a75d2bfe45639eefb242cf45a4c4d939ba984801a8fcb9617b652f","first_computed_at":"2026-07-05T04:16:20.913178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:16:20.913178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oclBQAwXrxyfOc4APpY4+PBqPWo4+5JU/QwGJ/SuJlG4Bzl8wDhska/+dnP2Dsty8ZJy7Mt4OaGBFujFzdf9Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:16:20.913677Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.09098","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec4f833628193f92c75edc9d157be11ddcfcfbdbcaa3ccfef324bf91839e086f","sha256:b9e0d88918a65d5ab9b9e24e1df985839fd144b5e790792fe6bc37a4633e629f"],"state_sha256":"b730f9d6ffeb0188d9fe8f50a8f25aec7561bf581c7ebeba1f84ace32872df82"}