{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SANF6KWI524WMJNKDLMAL4DD5L","short_pith_number":"pith:SANF6KWI","canonical_record":{"source":{"id":"2208.11508","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-24T13:01:00Z","cross_cats_sorted":[],"title_canon_sha256":"077d4d800a1f4326d3b49b98388f42434a86988b7a8fa342f21a9e9857f74d20","abstract_canon_sha256":"c1af490b440364cd55d0469e2858e0c55b9443b6e09b48975005423fb47b929f"},"schema_version":"1.0"},"canonical_sha256":"901a5f2ac8eeb96625aa1ad805f063eac0eec5ec262174497ea1f86a86d3671e","source":{"kind":"arxiv","id":"2208.11508","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.11508","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"arxiv_version","alias_value":"2208.11508v3","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.11508","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"pith_short_12","alias_value":"SANF6KWI524W","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"pith_short_16","alias_value":"SANF6KWI524WMJNK","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"pith_short_8","alias_value":"SANF6KWI","created_at":"2026-07-05T04:57:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SANF6KWI524WMJNKDLMAL4DD5L","target":"record","payload":{"canonical_record":{"source":{"id":"2208.11508","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-24T13:01:00Z","cross_cats_sorted":[],"title_canon_sha256":"077d4d800a1f4326d3b49b98388f42434a86988b7a8fa342f21a9e9857f74d20","abstract_canon_sha256":"c1af490b440364cd55d0469e2858e0c55b9443b6e09b48975005423fb47b929f"},"schema_version":"1.0"},"canonical_sha256":"901a5f2ac8eeb96625aa1ad805f063eac0eec5ec262174497ea1f86a86d3671e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:57:48.731324Z","signature_b64":"KnO1EmPdLnfvqOEUKgBhbIlcwZC5BbZZtuvQ3vhfkC79n1JsoBOB2FoUsia5Kc8kaJWapDY9TqJTI61+5XvoDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"901a5f2ac8eeb96625aa1ad805f063eac0eec5ec262174497ea1f86a86d3671e","last_reissued_at":"2026-07-05T04:57:48.730880Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:57:48.730880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.11508","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:57:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E2mJfxom6u+PJqZoktIhAY7TRHRa5s8o3xskkQMTZH1f5/AIeOE6VBSqExnsJFNrHTfYKxCCE4LhujBSyh0xAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T17:42:11.984581Z"},"content_sha256":"6ad38c13aaa777091173bd37483798de0ac11464e960246e7d38401830f893e3","schema_version":"1.0","event_id":"sha256:6ad38c13aaa777091173bd37483798de0ac11464e960246e7d38401830f893e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SANF6KWI524WMJNKDLMAL4DD5L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chen Zeng, Daichi Guo, Guanting Dong, Hao Lei, Jinzheng Zhao, Junlan Feng, Keqing He, Liwen Wang, Weiran Xu, Xinyue Cui, Xuefeng Li, Yi Huang, Zechen Wang","submitted_at":"2022-08-24T13:01:00Z","abstract_excerpt":"Most existing slot filling models tend to memorize inherent patterns of entities and corresponding contexts from training data. However, these models can lead to system failure or undesirable outputs when being exposed to spoken language perturbation or variation in practice. We propose a perturbed semantic structure awareness transferring method for training perturbation-robust slot filling models. Specifically, we introduce two MLM-based training strategies to respectively learn contextual semantic structure and word distribution from unsupervised language perturbation corpus. Then, we trans"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.11508","kind":"arxiv","version":3},"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/2208.11508/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":"2026-07-05T04:57:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3fLzf/6xGjOXdosk/LhSdw53pxnAMLByEyCt/yMLuHS2M8unXvqg1ZDoqmDIEnnO/jj+XpQQB0QGLhCuEnfsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T17:42:11.984954Z"},"content_sha256":"7254c836850ce4e3cc1d325908b225ca400eba2aed04ece403b907e0970a5a9d","schema_version":"1.0","event_id":"sha256:7254c836850ce4e3cc1d325908b225ca400eba2aed04ece403b907e0970a5a9d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SANF6KWI524WMJNKDLMAL4DD5L/bundle.json","state_url":"https://pith.science/pith/SANF6KWI524WMJNKDLMAL4DD5L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SANF6KWI524WMJNKDLMAL4DD5L/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":"2026-07-20T17:42:11Z","links":{"resolver":"https://pith.science/pith/SANF6KWI524WMJNKDLMAL4DD5L","bundle":"https://pith.science/pith/SANF6KWI524WMJNKDLMAL4DD5L/bundle.json","state":"https://pith.science/pith/SANF6KWI524WMJNKDLMAL4DD5L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SANF6KWI524WMJNKDLMAL4DD5L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SANF6KWI524WMJNKDLMAL4DD5L","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":"c1af490b440364cd55d0469e2858e0c55b9443b6e09b48975005423fb47b929f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-24T13:01:00Z","title_canon_sha256":"077d4d800a1f4326d3b49b98388f42434a86988b7a8fa342f21a9e9857f74d20"},"schema_version":"1.0","source":{"id":"2208.11508","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.11508","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"arxiv_version","alias_value":"2208.11508v3","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.11508","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"pith_short_12","alias_value":"SANF6KWI524W","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"pith_short_16","alias_value":"SANF6KWI524WMJNK","created_at":"2026-07-05T04:57:48Z"},{"alias_kind":"pith_short_8","alias_value":"SANF6KWI","created_at":"2026-07-05T04:57:48Z"}],"graph_snapshots":[{"event_id":"sha256:7254c836850ce4e3cc1d325908b225ca400eba2aed04ece403b907e0970a5a9d","target":"graph","created_at":"2026-07-05T04:57:48Z","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/2208.11508/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most existing slot filling models tend to memorize inherent patterns of entities and corresponding contexts from training data. However, these models can lead to system failure or undesirable outputs when being exposed to spoken language perturbation or variation in practice. We propose a perturbed semantic structure awareness transferring method for training perturbation-robust slot filling models. Specifically, we introduce two MLM-based training strategies to respectively learn contextual semantic structure and word distribution from unsupervised language perturbation corpus. Then, we trans","authors_text":"Chen Zeng, Daichi Guo, Guanting Dong, Hao Lei, Jinzheng Zhao, Junlan Feng, Keqing He, Liwen Wang, Weiran Xu, Xinyue Cui, Xuefeng Li, Yi Huang, Zechen Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-24T13:01:00Z","title":"PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.11508","kind":"arxiv","version":3},"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":"sha256:6ad38c13aaa777091173bd37483798de0ac11464e960246e7d38401830f893e3","target":"record","created_at":"2026-07-05T04:57:48Z","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":"c1af490b440364cd55d0469e2858e0c55b9443b6e09b48975005423fb47b929f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-08-24T13:01:00Z","title_canon_sha256":"077d4d800a1f4326d3b49b98388f42434a86988b7a8fa342f21a9e9857f74d20"},"schema_version":"1.0","source":{"id":"2208.11508","kind":"arxiv","version":3}},"canonical_sha256":"901a5f2ac8eeb96625aa1ad805f063eac0eec5ec262174497ea1f86a86d3671e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"901a5f2ac8eeb96625aa1ad805f063eac0eec5ec262174497ea1f86a86d3671e","first_computed_at":"2026-07-05T04:57:48.730880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:57:48.730880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KnO1EmPdLnfvqOEUKgBhbIlcwZC5BbZZtuvQ3vhfkC79n1JsoBOB2FoUsia5Kc8kaJWapDY9TqJTI61+5XvoDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:57:48.731324Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.11508","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ad38c13aaa777091173bd37483798de0ac11464e960246e7d38401830f893e3","sha256:7254c836850ce4e3cc1d325908b225ca400eba2aed04ece403b907e0970a5a9d"],"state_sha256":"0cc2b478cd3d3aaad94435b0cb1eec854afa9c470b870f3e025a9f2e87f011a9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cdSIztA8yYqvLiisSDOJsSaaCjIfDr5yxj4900ka/PDsY0J7+Hh0rpFKzC502/9kNdrpP2JXhk/m4qWuhPoHBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-20T17:42:11.987012Z","bundle_sha256":"08fde607fb87caf994e93a0dc8d09066086b1ec561139016c663c76f283367d1"}}