{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PQ2WJQL566HTI27BLXPN6FKL4R","short_pith_number":"pith:PQ2WJQL5","canonical_record":{"source":{"id":"2205.12647","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T10:41:34Z","cross_cats_sorted":[],"title_canon_sha256":"325bec170a8df6c01d26bedba89619284de6f7f34d28fb27c9740daf43fdd8d3","abstract_canon_sha256":"77d0f94ff3902d488cc6253af1444d3d8b6e821850379a6aa9555282e6e9a2c0"},"schema_version":"1.0"},"canonical_sha256":"7c3564c17df78f346be15ddedf154be465a0c83366fbf98f92bc4a3bd67cb7ec","source":{"kind":"arxiv","id":"2205.12647","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.12647","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"arxiv_version","alias_value":"2205.12647v2","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.12647","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"pith_short_12","alias_value":"PQ2WJQL566HT","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"pith_short_16","alias_value":"PQ2WJQL566HTI27B","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"pith_short_8","alias_value":"PQ2WJQL5","created_at":"2026-07-05T05:09:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PQ2WJQL566HTI27BLXPN6FKL4R","target":"record","payload":{"canonical_record":{"source":{"id":"2205.12647","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T10:41:34Z","cross_cats_sorted":[],"title_canon_sha256":"325bec170a8df6c01d26bedba89619284de6f7f34d28fb27c9740daf43fdd8d3","abstract_canon_sha256":"77d0f94ff3902d488cc6253af1444d3d8b6e821850379a6aa9555282e6e9a2c0"},"schema_version":"1.0"},"canonical_sha256":"7c3564c17df78f346be15ddedf154be465a0c83366fbf98f92bc4a3bd67cb7ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:09:18.712752Z","signature_b64":"FUeuS2sJj57nSCMXaWijYVA641fbAS76lyODVRFN44ld45aH5tsGHEju2X9bosCjLg35XOEUHQNMItABhddnAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c3564c17df78f346be15ddedf154be465a0c83366fbf98f92bc4a3bd67cb7ec","last_reissued_at":"2026-07-05T05:09:18.712366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:09:18.712366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.12647","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":"2026-07-05T05:09:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2X2sH7lLbN7HuNBGtzB8pmNL5RCR6zl0Fct6hzNDqdJykosogjOVsNmbzm5a1jBdlHANHmNvlJrkv2v6GlW6DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:54:11.601967Z"},"content_sha256":"277f54655ba532137b704de1be453604d7aa29d499a1864b25c24752e83ede9e","schema_version":"1.0","event_id":"sha256:277f54655ba532137b704de1be453604d7aa29d499a1864b25c24752e83ede9e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PQ2WJQL566HTI27BLXPN6FKL4R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant, Tu Vu","submitted_at":"2022-05-25T10:41:34Z","abstract_excerpt":"In this paper, we explore the challenging problem of performing a generative task in a target language when labeled data is only available in English, using summarization as a case study. We assume a strict setting with no access to parallel data or machine translation and find that common transfer learning approaches struggle in this setting, as a generative multilingual model fine-tuned purely on English catastrophically forgets how to generate non-English. Given the recent rise of parameter-efficient adaptation techniques, we conduct the first investigation into how one such method, prompt "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.12647","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/2205.12647/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":"2026-07-05T05:09:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oh3Ovf9jy9lo3DKhhTTD2JTckSJi/eRiX+2BnIoE4ng7n0u4ScA/6At4oSVyKMGDZVL66xCy3/95gy/+B3mrCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:54:11.602466Z"},"content_sha256":"67e4593d678a493668b20844ee8501c10f4e58f5324cdeeb990b8b1f77bc37a2","schema_version":"1.0","event_id":"sha256:67e4593d678a493668b20844ee8501c10f4e58f5324cdeeb990b8b1f77bc37a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PQ2WJQL566HTI27BLXPN6FKL4R/bundle.json","state_url":"https://pith.science/pith/PQ2WJQL566HTI27BLXPN6FKL4R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PQ2WJQL566HTI27BLXPN6FKL4R/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":"2026-08-08T23:54:11Z","links":{"resolver":"https://pith.science/pith/PQ2WJQL566HTI27BLXPN6FKL4R","bundle":"https://pith.science/pith/PQ2WJQL566HTI27BLXPN6FKL4R/bundle.json","state":"https://pith.science/pith/PQ2WJQL566HTI27BLXPN6FKL4R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PQ2WJQL566HTI27BLXPN6FKL4R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PQ2WJQL566HTI27BLXPN6FKL4R","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":"77d0f94ff3902d488cc6253af1444d3d8b6e821850379a6aa9555282e6e9a2c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T10:41:34Z","title_canon_sha256":"325bec170a8df6c01d26bedba89619284de6f7f34d28fb27c9740daf43fdd8d3"},"schema_version":"1.0","source":{"id":"2205.12647","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.12647","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"arxiv_version","alias_value":"2205.12647v2","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.12647","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"pith_short_12","alias_value":"PQ2WJQL566HT","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"pith_short_16","alias_value":"PQ2WJQL566HTI27B","created_at":"2026-07-05T05:09:18Z"},{"alias_kind":"pith_short_8","alias_value":"PQ2WJQL5","created_at":"2026-07-05T05:09:18Z"}],"graph_snapshots":[{"event_id":"sha256:67e4593d678a493668b20844ee8501c10f4e58f5324cdeeb990b8b1f77bc37a2","target":"graph","created_at":"2026-07-05T05:09:18Z","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/2205.12647/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we explore the challenging problem of performing a generative task in a target language when labeled data is only available in English, using summarization as a case study. We assume a strict setting with no access to parallel data or machine translation and find that common transfer learning approaches struggle in this setting, as a generative multilingual model fine-tuned purely on English catastrophically forgets how to generate non-English. Given the recent rise of parameter-efficient adaptation techniques, we conduct the first investigation into how one such method, prompt ","authors_text":"Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant, Tu Vu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T10:41:34Z","title":"Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.12647","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":"sha256:277f54655ba532137b704de1be453604d7aa29d499a1864b25c24752e83ede9e","target":"record","created_at":"2026-07-05T05:09:18Z","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":"77d0f94ff3902d488cc6253af1444d3d8b6e821850379a6aa9555282e6e9a2c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-25T10:41:34Z","title_canon_sha256":"325bec170a8df6c01d26bedba89619284de6f7f34d28fb27c9740daf43fdd8d3"},"schema_version":"1.0","source":{"id":"2205.12647","kind":"arxiv","version":2}},"canonical_sha256":"7c3564c17df78f346be15ddedf154be465a0c83366fbf98f92bc4a3bd67cb7ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c3564c17df78f346be15ddedf154be465a0c83366fbf98f92bc4a3bd67cb7ec","first_computed_at":"2026-07-05T05:09:18.712366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:09:18.712366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FUeuS2sJj57nSCMXaWijYVA641fbAS76lyODVRFN44ld45aH5tsGHEju2X9bosCjLg35XOEUHQNMItABhddnAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:09:18.712752Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.12647","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:277f54655ba532137b704de1be453604d7aa29d499a1864b25c24752e83ede9e","sha256:67e4593d678a493668b20844ee8501c10f4e58f5324cdeeb990b8b1f77bc37a2"],"state_sha256":"24a9a36a62daff2f42e08cb60d4e39f6f6ccd40dc27f5a77d88432b1682a1d5b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/jdxRhGqy6Hi+GtNYMjfm83475neNEMAjtwZbEJE5B+k/v3QlnesFKlRiG8WOhr9EtqQUxlihfoKG47Y5h0mBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T23:54:11.606847Z","bundle_sha256":"18028116b58116e96a6c063f3fed7140cd307f812692ca6d888b22558898845e"}}