{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:23Q5QGDEKX4YD5CLK4OG54QRL7","short_pith_number":"pith:23Q5QGDE","canonical_record":{"source":{"id":"2101.03024","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2020-12-15T19:15:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b2e8e0cc0c9cd9a82b1baa3e881f1f6dee6327ab964357fed28bd9017c653ddd","abstract_canon_sha256":"ae7b9f404ad9108db37c257e49eb800586402a909ede702626d8fd5011bbfc28"},"schema_version":"1.0"},"canonical_sha256":"d6e1d8186455f981f44b571c6ef2115fecfaab541b109a8e207431f6538dce89","source":{"kind":"arxiv","id":"2101.03024","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.03024","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"arxiv_version","alias_value":"2101.03024v2","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.03024","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"pith_short_12","alias_value":"23Q5QGDEKX4Y","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"pith_short_16","alias_value":"23Q5QGDEKX4YD5CL","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"pith_short_8","alias_value":"23Q5QGDE","created_at":"2026-07-05T02:26:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:23Q5QGDEKX4YD5CLK4OG54QRL7","target":"record","payload":{"canonical_record":{"source":{"id":"2101.03024","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2020-12-15T19:15:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b2e8e0cc0c9cd9a82b1baa3e881f1f6dee6327ab964357fed28bd9017c653ddd","abstract_canon_sha256":"ae7b9f404ad9108db37c257e49eb800586402a909ede702626d8fd5011bbfc28"},"schema_version":"1.0"},"canonical_sha256":"d6e1d8186455f981f44b571c6ef2115fecfaab541b109a8e207431f6538dce89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:26:54.486028Z","signature_b64":"I35v6RQof6ZHJY31s2Ck+6HeGBp5P8V6xOo0PB5THBbjMKXw+9n5Z0Dn6vxZnDIP1Z214mmv1OqddhozE1cvAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6e1d8186455f981f44b571c6ef2115fecfaab541b109a8e207431f6538dce89","last_reissued_at":"2026-07-05T02:26:54.485545Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:26:54.485545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.03024","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":"2026-07-05T02:26:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NXqswQEQOOAyOs8O3cDZQPH+qGphKiEHfkg+2gVOZLIski9TvIOc3usz3+orXXVTRZGLjQUs9r/if0z0Td0QCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T21:11:25.017508Z"},"content_sha256":"09f90be89c7f31b7d5443619ab33801b5b7b25cfc6722432dcfa9b0276487c15","schema_version":"1.0","event_id":"sha256:09f90be89c7f31b7d5443619ab33801b5b7b25cfc6722432dcfa9b0276487c15"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:23Q5QGDEKX4YD5CLK4OG54QRL7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Barath Raj Kandur Raja, Bharath Challa, Harshavardhana, Kranti Chalamalasetti, Sonal Kumari, Sourav Ghosh, Vibhav Agarwal","submitted_at":"2020-12-15T19:15:54Z","abstract_excerpt":"Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, formal, structured text there are hindrances in deploying these models on memory-constrained devices such as mobile phones. Furthermore, the performance of these models is degraded when they encounter short, informal, and casual conversations. To overcome these difficulties, we present LiteMuL - a lightweight on-device sequence tagger that can efficiently process the user conversations using a Multi-Task Learning (MTL) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.03024","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/2101.03024/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":"2026-07-05T02:26:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h3ULc8Du9Jn+THtVu0UHdNFYZ9pFOfIW1fZPiwVddh9B7/rNIzOiTholDjaekh8H7Ug6RJEcqOMSZbYxGgj7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T21:11:25.018063Z"},"content_sha256":"1e98e18ea5b42b9332c9bb1607a2735fc8383db7e9a30172211ff550d824cd57","schema_version":"1.0","event_id":"sha256:1e98e18ea5b42b9332c9bb1607a2735fc8383db7e9a30172211ff550d824cd57"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/23Q5QGDEKX4YD5CLK4OG54QRL7/bundle.json","state_url":"https://pith.science/pith/23Q5QGDEKX4YD5CLK4OG54QRL7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/23Q5QGDEKX4YD5CLK4OG54QRL7/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":"2026-08-11T21:11:25Z","links":{"resolver":"https://pith.science/pith/23Q5QGDEKX4YD5CLK4OG54QRL7","bundle":"https://pith.science/pith/23Q5QGDEKX4YD5CLK4OG54QRL7/bundle.json","state":"https://pith.science/pith/23Q5QGDEKX4YD5CLK4OG54QRL7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/23Q5QGDEKX4YD5CLK4OG54QRL7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:23Q5QGDEKX4YD5CLK4OG54QRL7","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":"ae7b9f404ad9108db37c257e49eb800586402a909ede702626d8fd5011bbfc28","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2020-12-15T19:15:54Z","title_canon_sha256":"b2e8e0cc0c9cd9a82b1baa3e881f1f6dee6327ab964357fed28bd9017c653ddd"},"schema_version":"1.0","source":{"id":"2101.03024","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.03024","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"arxiv_version","alias_value":"2101.03024v2","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.03024","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"pith_short_12","alias_value":"23Q5QGDEKX4Y","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"pith_short_16","alias_value":"23Q5QGDEKX4YD5CL","created_at":"2026-07-05T02:26:54Z"},{"alias_kind":"pith_short_8","alias_value":"23Q5QGDE","created_at":"2026-07-05T02:26:54Z"}],"graph_snapshots":[{"event_id":"sha256:1e98e18ea5b42b9332c9bb1607a2735fc8383db7e9a30172211ff550d824cd57","target":"graph","created_at":"2026-07-05T02:26:54Z","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/2101.03024/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, formal, structured text there are hindrances in deploying these models on memory-constrained devices such as mobile phones. Furthermore, the performance of these models is degraded when they encounter short, informal, and casual conversations. To overcome these difficulties, we present LiteMuL - a lightweight on-device sequence tagger that can efficiently process the user conversations using a Multi-Task Learning (MTL) ","authors_text":"Barath Raj Kandur Raja, Bharath Challa, Harshavardhana, Kranti Chalamalasetti, Sonal Kumari, Sourav Ghosh, Vibhav Agarwal","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2020-12-15T19:15:54Z","title":"LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.03024","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":"sha256:09f90be89c7f31b7d5443619ab33801b5b7b25cfc6722432dcfa9b0276487c15","target":"record","created_at":"2026-07-05T02:26:54Z","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":"ae7b9f404ad9108db37c257e49eb800586402a909ede702626d8fd5011bbfc28","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2020-12-15T19:15:54Z","title_canon_sha256":"b2e8e0cc0c9cd9a82b1baa3e881f1f6dee6327ab964357fed28bd9017c653ddd"},"schema_version":"1.0","source":{"id":"2101.03024","kind":"arxiv","version":2}},"canonical_sha256":"d6e1d8186455f981f44b571c6ef2115fecfaab541b109a8e207431f6538dce89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6e1d8186455f981f44b571c6ef2115fecfaab541b109a8e207431f6538dce89","first_computed_at":"2026-07-05T02:26:54.485545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:26:54.485545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I35v6RQof6ZHJY31s2Ck+6HeGBp5P8V6xOo0PB5THBbjMKXw+9n5Z0Dn6vxZnDIP1Z214mmv1OqddhozE1cvAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:26:54.486028Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.03024","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09f90be89c7f31b7d5443619ab33801b5b7b25cfc6722432dcfa9b0276487c15","sha256:1e98e18ea5b42b9332c9bb1607a2735fc8383db7e9a30172211ff550d824cd57"],"state_sha256":"48613d2ec18b776635405d298e2937e8ff4c10d5c0b3358e0e630487c6dccba7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LM1rqhsq5o8+WPC7TeC/X8kThu7Q1gRjuyO6imhgwbGdnoc6rz7dAom2XbhryS4eJGNP8PPF4y9cYxI1M4yBDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T21:11:25.023810Z","bundle_sha256":"62186fabe2dfeed07eb4ec40143dee616fb5f6caf5357eb6dd2e75f3975ae28a"}}