{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:635V3QKKCVXDU7NPNFEU75P67V","short_pith_number":"pith:635V3QKK","canonical_record":{"source":{"id":"2002.09901","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-23T13:33:04Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"5057f372fc2ee54d501fdb739297b5cfcf789a93b4da87b60eac623875330d0e","abstract_canon_sha256":"0dc7b6a57aa0e22020a83c305dc00c3734cd982c82bb48135c4e3196a197d8ef"},"schema_version":"1.0"},"canonical_sha256":"f6fb5dc14a156e3a7daf69494ff5fefd4465b4215b2b4720dc5bd24feabbcba3","source":{"kind":"arxiv","id":"2002.09901","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.09901","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"arxiv_version","alias_value":"2002.09901v1","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.09901","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"pith_short_12","alias_value":"635V3QKKCVXD","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"pith_short_16","alias_value":"635V3QKKCVXDU7NP","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"pith_short_8","alias_value":"635V3QKK","created_at":"2026-07-05T00:43:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:635V3QKKCVXDU7NPNFEU75P67V","target":"record","payload":{"canonical_record":{"source":{"id":"2002.09901","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-23T13:33:04Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"5057f372fc2ee54d501fdb739297b5cfcf789a93b4da87b60eac623875330d0e","abstract_canon_sha256":"0dc7b6a57aa0e22020a83c305dc00c3734cd982c82bb48135c4e3196a197d8ef"},"schema_version":"1.0"},"canonical_sha256":"f6fb5dc14a156e3a7daf69494ff5fefd4465b4215b2b4720dc5bd24feabbcba3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:43:12.957942Z","signature_b64":"qJA4dhU5OZ3nZMwSnQwNF8GGTqsID2qQzsVVK6BPpZjcx+//2HMh7AmNwkr3osi53ob7E0NoI+uFFIlF/SriDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6fb5dc14a156e3a7daf69494ff5fefd4465b4215b2b4720dc5bd24feabbcba3","last_reissued_at":"2026-07-05T00:43:12.957604Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:43:12.957604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.09901","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":"2026-07-05T00:43:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g2KIjSy1rcG6emQj0rpJFhsmuC+1y8bjMqlRRyMsb+/zl96uV5wlCy1vu+mSCQm7bHk93YqL9rE14Wf6sggqBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T20:29:10.694258Z"},"content_sha256":"1c0721a5f944878af69b22d5f91c3ef87fb75939411066608843e35c0e69ff7f","schema_version":"1.0","event_id":"sha256:1c0721a5f944878af69b22d5f91c3ef87fb75939411066608843e35c0e69ff7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:635V3QKKCVXDU7NPNFEU75P67V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Nepali Rule Based Stemmer and its performance on different NLP applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Aman Shakya, Pravesh Koirala","submitted_at":"2020-02-23T13:33:04Z","abstract_excerpt":"Stemming is an integral part of Natural Language Processing (NLP). It's a preprocessing step in almost every NLP application. Arguably, the most important usage of stemming is in Information Retrieval (IR). While there are lots of work done on stemming in languages like English, Nepali stemming has only a few works. This study focuses on creating a Rule Based stemmer for Nepali text. Specifically, it is an affix stripping system that identifies two different class of suffixes in Nepali grammar and strips them separately. Only a single negativity prefix (Na) is identified and stripped. This stu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.09901","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/2002.09901/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":"2026-07-05T00:43:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7JfN1IunvgFYUcoHnOhL25b42+DCMEvxjzmjGMpeqkACRd9cGk2JvR4p3YUBhg4AVr+xiXi+5XUI8RYyTX7ZBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T20:29:10.695171Z"},"content_sha256":"6d58e980622d4e217f5e6e8c2f9edab03138506bd93f85d28c66d19120507ee8","schema_version":"1.0","event_id":"sha256:6d58e980622d4e217f5e6e8c2f9edab03138506bd93f85d28c66d19120507ee8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/635V3QKKCVXDU7NPNFEU75P67V/bundle.json","state_url":"https://pith.science/pith/635V3QKKCVXDU7NPNFEU75P67V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/635V3QKKCVXDU7NPNFEU75P67V/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":"2026-08-20T20:29:10Z","links":{"resolver":"https://pith.science/pith/635V3QKKCVXDU7NPNFEU75P67V","bundle":"https://pith.science/pith/635V3QKKCVXDU7NPNFEU75P67V/bundle.json","state":"https://pith.science/pith/635V3QKKCVXDU7NPNFEU75P67V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/635V3QKKCVXDU7NPNFEU75P67V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:635V3QKKCVXDU7NPNFEU75P67V","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":"0dc7b6a57aa0e22020a83c305dc00c3734cd982c82bb48135c4e3196a197d8ef","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-23T13:33:04Z","title_canon_sha256":"5057f372fc2ee54d501fdb739297b5cfcf789a93b4da87b60eac623875330d0e"},"schema_version":"1.0","source":{"id":"2002.09901","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.09901","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"arxiv_version","alias_value":"2002.09901v1","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.09901","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"pith_short_12","alias_value":"635V3QKKCVXD","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"pith_short_16","alias_value":"635V3QKKCVXDU7NP","created_at":"2026-07-05T00:43:12Z"},{"alias_kind":"pith_short_8","alias_value":"635V3QKK","created_at":"2026-07-05T00:43:12Z"}],"graph_snapshots":[{"event_id":"sha256:6d58e980622d4e217f5e6e8c2f9edab03138506bd93f85d28c66d19120507ee8","target":"graph","created_at":"2026-07-05T00:43:12Z","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/2002.09901/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stemming is an integral part of Natural Language Processing (NLP). It's a preprocessing step in almost every NLP application. Arguably, the most important usage of stemming is in Information Retrieval (IR). While there are lots of work done on stemming in languages like English, Nepali stemming has only a few works. This study focuses on creating a Rule Based stemmer for Nepali text. Specifically, it is an affix stripping system that identifies two different class of suffixes in Nepali grammar and strips them separately. Only a single negativity prefix (Na) is identified and stripped. This stu","authors_text":"Aman Shakya, Pravesh Koirala","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-23T13:33:04Z","title":"A Nepali Rule Based Stemmer and its performance on different NLP applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.09901","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":"sha256:1c0721a5f944878af69b22d5f91c3ef87fb75939411066608843e35c0e69ff7f","target":"record","created_at":"2026-07-05T00:43:12Z","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":"0dc7b6a57aa0e22020a83c305dc00c3734cd982c82bb48135c4e3196a197d8ef","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-02-23T13:33:04Z","title_canon_sha256":"5057f372fc2ee54d501fdb739297b5cfcf789a93b4da87b60eac623875330d0e"},"schema_version":"1.0","source":{"id":"2002.09901","kind":"arxiv","version":1}},"canonical_sha256":"f6fb5dc14a156e3a7daf69494ff5fefd4465b4215b2b4720dc5bd24feabbcba3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6fb5dc14a156e3a7daf69494ff5fefd4465b4215b2b4720dc5bd24feabbcba3","first_computed_at":"2026-07-05T00:43:12.957604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:43:12.957604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qJA4dhU5OZ3nZMwSnQwNF8GGTqsID2qQzsVVK6BPpZjcx+//2HMh7AmNwkr3osi53ob7E0NoI+uFFIlF/SriDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:43:12.957942Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.09901","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c0721a5f944878af69b22d5f91c3ef87fb75939411066608843e35c0e69ff7f","sha256:6d58e980622d4e217f5e6e8c2f9edab03138506bd93f85d28c66d19120507ee8"],"state_sha256":"434c1f643ae6f487ee230b52c1f248efd13b70b80c1845b04c029adddf1c0f81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SwIhUGqz6xg0A8F27vL4eDPTWvBVHG1rYj0Nz1sfmfoKTvtPehD7qjc3USADfoZdB7yh/1CAVTlhGhGb3zdfDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T20:29:10.700268Z","bundle_sha256":"aeb4b7fe2850b180af4a60625c669be556339cbc87f9663548f11247d82cc635"}}