{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KTLP5H4SE6A4572YWLPQJSPIYR","short_pith_number":"pith:KTLP5H4S","canonical_record":{"source":{"id":"2210.12813","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-23T18:28:25Z","cross_cats_sorted":[],"title_canon_sha256":"333bc467d0e0b9a93a3881beb104545aa8d9b539dbbfd1c4e0ae322aa0abfc0d","abstract_canon_sha256":"3eadd6f4ee82e90868777bf8213839fce15a9b54d8ed020e91b0e7a51db868ba"},"schema_version":"1.0"},"canonical_sha256":"54d6fe9f922781ceff58b2df04c9e8c46960b9a78561dd23c3299dca00765b8e","source":{"kind":"arxiv","id":"2210.12813","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12813","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12813v1","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12813","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_12","alias_value":"KTLP5H4SE6A4","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_16","alias_value":"KTLP5H4SE6A4572Y","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_8","alias_value":"KTLP5H4S","created_at":"2026-07-05T06:56:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KTLP5H4SE6A4572YWLPQJSPIYR","target":"record","payload":{"canonical_record":{"source":{"id":"2210.12813","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-23T18:28:25Z","cross_cats_sorted":[],"title_canon_sha256":"333bc467d0e0b9a93a3881beb104545aa8d9b539dbbfd1c4e0ae322aa0abfc0d","abstract_canon_sha256":"3eadd6f4ee82e90868777bf8213839fce15a9b54d8ed020e91b0e7a51db868ba"},"schema_version":"1.0"},"canonical_sha256":"54d6fe9f922781ceff58b2df04c9e8c46960b9a78561dd23c3299dca00765b8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:56:30.406440Z","signature_b64":"8gq6X0rX7zcbvTPIa0QzkqSbgr2xxo8GA7j9jecVqILBKdKcl39LDszyiiMbfjFPmAK6c5w+CEVLOC6hTY8OBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54d6fe9f922781ceff58b2df04c9e8c46960b9a78561dd23c3299dca00765b8e","last_reissued_at":"2026-07-05T06:56:30.405889Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:56:30.405889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.12813","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":"2026-07-05T06:56:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m6LwAjojumG9Djp/KEVZWDU2uFzGbBmAhY62LN67dwTy/ErF+DRvzrBs767s3crbA/xp88Z5wS0fvlenlQL7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:50:23.397507Z"},"content_sha256":"db516f72f35aa36b4f50a49d156c8b5d5a7eb69d25ee34f129d58b309bb6e833","schema_version":"1.0","event_id":"sha256:db516f72f35aa36b4f50a49d156c8b5d5a7eb69d25ee34f129d58b309bb6e833"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KTLP5H4SE6A4572YWLPQJSPIYR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TAPE: Assessing Few-shot Russian Language Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Albina Akhmetgareeva, Alena Fenogenova, Alena Spiridonova, Anastasiia Bashmakova, Denis Shevelev, Ekaterina Artemova, Ekaterina Taktasheva, Maria Tikhonova, Nadezhda Katricheva, Oleg Zinkevich, Svetlana Iordanskaia, Tatiana Shavrina, Valentina Kurenshchikova, Vladislav Mikhailov","submitted_at":"2022-10-23T18:28:25Z","abstract_excerpt":"Recent advances in zero-shot and few-shot learning have shown promise for a scope of research and practical purposes. However, this fast-growing area lacks standardized evaluation suites for non-English languages, hindering progress outside the Anglo-centric paradigm. To address this line of research, we propose TAPE (Text Attack and Perturbation Evaluation), a novel benchmark that includes six more complex NLU tasks for Russian, covering multi-hop reasoning, ethical concepts, logic and commonsense knowledge. The TAPE's design focuses on systematic zero-shot and few-shot NLU evaluation: (i) li"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12813","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/2210.12813/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":"2026-07-05T06:56:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"djeuoB/ykQFyQx0tNaIm6bn/RIGLg7Dp31/GkyjI6uXPuj4eDHdMXUalFEPy4NFe5je1r3cYjlL0e86fAKqrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:50:23.398346Z"},"content_sha256":"244d25c4b4c741b3b7d654c1348585f2a4c372f9f2df3440f4da9bc9957502a4","schema_version":"1.0","event_id":"sha256:244d25c4b4c741b3b7d654c1348585f2a4c372f9f2df3440f4da9bc9957502a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KTLP5H4SE6A4572YWLPQJSPIYR/bundle.json","state_url":"https://pith.science/pith/KTLP5H4SE6A4572YWLPQJSPIYR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KTLP5H4SE6A4572YWLPQJSPIYR/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":"2026-07-07T04:50:23Z","links":{"resolver":"https://pith.science/pith/KTLP5H4SE6A4572YWLPQJSPIYR","bundle":"https://pith.science/pith/KTLP5H4SE6A4572YWLPQJSPIYR/bundle.json","state":"https://pith.science/pith/KTLP5H4SE6A4572YWLPQJSPIYR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KTLP5H4SE6A4572YWLPQJSPIYR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KTLP5H4SE6A4572YWLPQJSPIYR","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":"3eadd6f4ee82e90868777bf8213839fce15a9b54d8ed020e91b0e7a51db868ba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-23T18:28:25Z","title_canon_sha256":"333bc467d0e0b9a93a3881beb104545aa8d9b539dbbfd1c4e0ae322aa0abfc0d"},"schema_version":"1.0","source":{"id":"2210.12813","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12813","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12813v1","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12813","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_12","alias_value":"KTLP5H4SE6A4","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_16","alias_value":"KTLP5H4SE6A4572Y","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_8","alias_value":"KTLP5H4S","created_at":"2026-07-05T06:56:30Z"}],"graph_snapshots":[{"event_id":"sha256:244d25c4b4c741b3b7d654c1348585f2a4c372f9f2df3440f4da9bc9957502a4","target":"graph","created_at":"2026-07-05T06:56:30Z","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/2210.12813/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in zero-shot and few-shot learning have shown promise for a scope of research and practical purposes. However, this fast-growing area lacks standardized evaluation suites for non-English languages, hindering progress outside the Anglo-centric paradigm. To address this line of research, we propose TAPE (Text Attack and Perturbation Evaluation), a novel benchmark that includes six more complex NLU tasks for Russian, covering multi-hop reasoning, ethical concepts, logic and commonsense knowledge. The TAPE's design focuses on systematic zero-shot and few-shot NLU evaluation: (i) li","authors_text":"Albina Akhmetgareeva, Alena Fenogenova, Alena Spiridonova, Anastasiia Bashmakova, Denis Shevelev, Ekaterina Artemova, Ekaterina Taktasheva, Maria Tikhonova, Nadezhda Katricheva, Oleg Zinkevich, Svetlana Iordanskaia, Tatiana Shavrina, Valentina Kurenshchikova, Vladislav Mikhailov","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-23T18:28:25Z","title":"TAPE: Assessing Few-shot Russian Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12813","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:db516f72f35aa36b4f50a49d156c8b5d5a7eb69d25ee34f129d58b309bb6e833","target":"record","created_at":"2026-07-05T06:56:30Z","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":"3eadd6f4ee82e90868777bf8213839fce15a9b54d8ed020e91b0e7a51db868ba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-23T18:28:25Z","title_canon_sha256":"333bc467d0e0b9a93a3881beb104545aa8d9b539dbbfd1c4e0ae322aa0abfc0d"},"schema_version":"1.0","source":{"id":"2210.12813","kind":"arxiv","version":1}},"canonical_sha256":"54d6fe9f922781ceff58b2df04c9e8c46960b9a78561dd23c3299dca00765b8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54d6fe9f922781ceff58b2df04c9e8c46960b9a78561dd23c3299dca00765b8e","first_computed_at":"2026-07-05T06:56:30.405889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:30.405889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8gq6X0rX7zcbvTPIa0QzkqSbgr2xxo8GA7j9jecVqILBKdKcl39LDszyiiMbfjFPmAK6c5w+CEVLOC6hTY8OBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:30.406440Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.12813","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db516f72f35aa36b4f50a49d156c8b5d5a7eb69d25ee34f129d58b309bb6e833","sha256:244d25c4b4c741b3b7d654c1348585f2a4c372f9f2df3440f4da9bc9957502a4"],"state_sha256":"d55654cbcade2d6b8b5fc02e5cfea8aa5a02d3b28b463a6209c4f73d44aa1df9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BTHzcydcwnEXfHAgfsmvQPfi2kb6bg/Pq9kfd4/STtzs60R35fpjKf2aepl+bJ9/8a+RjOlQbagdwA2bQPgPCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:50:23.401729Z","bundle_sha256":"14e33333ee4f1c231b234a5ddda53deee8e339238fc1c540deff705546b3cc0e"}}