{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:VKJPPWRJD64ZTGALCVHEO6U2NA","short_pith_number":"pith:VKJPPWRJ","canonical_record":{"source":{"id":"2112.10021","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-18T22:58:21Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"f3f7ace8ea9c314d25513825e00aef6964fd7dac203a9c37610e8cdbaf9576ec","abstract_canon_sha256":"4b0d74d3c8c2ce09fbea53c3e39064fa6e0e83c7c64bdf9ebbb7eb1d2b4c7731"},"schema_version":"1.0"},"canonical_sha256":"aa92f7da291fb999980b154e477a9a68334089cfc5c66bcacd4c522b7546a31b","source":{"kind":"arxiv","id":"2112.10021","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.10021","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"arxiv_version","alias_value":"2112.10021v1","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10021","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"pith_short_12","alias_value":"VKJPPWRJD64Z","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"pith_short_16","alias_value":"VKJPPWRJD64ZTGAL","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"pith_short_8","alias_value":"VKJPPWRJ","created_at":"2026-07-05T03:42:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:VKJPPWRJD64ZTGALCVHEO6U2NA","target":"record","payload":{"canonical_record":{"source":{"id":"2112.10021","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-18T22:58:21Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"f3f7ace8ea9c314d25513825e00aef6964fd7dac203a9c37610e8cdbaf9576ec","abstract_canon_sha256":"4b0d74d3c8c2ce09fbea53c3e39064fa6e0e83c7c64bdf9ebbb7eb1d2b4c7731"},"schema_version":"1.0"},"canonical_sha256":"aa92f7da291fb999980b154e477a9a68334089cfc5c66bcacd4c522b7546a31b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:42:10.246094Z","signature_b64":"r6/RtmX1AGs2wL+gdfVqpT+nW3+8MkM+K9i2e6az+A3UWahdyRxlFdRdD78MRYbDtGp1g4d5hbR4x1MBfhySAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa92f7da291fb999980b154e477a9a68334089cfc5c66bcacd4c522b7546a31b","last_reissued_at":"2026-07-05T03:42:10.245672Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:42:10.245672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.10021","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":"2026-07-05T03:42:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZpwaLHbOPWXfzOzW5oE/VCVNt5K1/5942vOUSoYjQQHOXI+H3hhxEPP6zjMASR+/fKsMc/6tNx+xUTbGP8JtCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T02:35:58.391116Z"},"content_sha256":"797bea9ab1c251ac3efa4fc92c498208c85dbc34174d2824cf3860de454ed0e2","schema_version":"1.0","event_id":"sha256:797bea9ab1c251ac3efa4fc92c498208c85dbc34174d2824cf3860de454ed0e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:VKJPPWRJD64ZTGALCVHEO6U2NA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continual Learning with Knowledge Transfer for Sentiment Classification","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Bing Liu, Hao Wang, Lei Shu, Zixuan Ke","submitted_at":"2021-12-18T22:58:21Z","abstract_excerpt":"This paper studies continual learning (CL) for sentiment classification (SC). In this setting, the CL system learns a sequence of SC tasks incrementally in a neural network, where each task builds a classifier to classify the sentiment of reviews of a particular product category or domain. Two natural questions are: Can the system transfer the knowledge learned in the past from the previous tasks to the new task to help it learn a better model for the new task? And, can old models for previous tasks be improved in the process as well? This paper proposes a novel technique called KAN to achieve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10021","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/2112.10021/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":"2026-07-05T03:42:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JMS0U15px9Gv7sCvPXHCUIFJ3d5Wd1Vm4JztkGtZNYW3G/ghlr2+fLqiT/K23bW8Yj1JLJTUhMSqiQWJhGnwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T02:35:58.391501Z"},"content_sha256":"b24406959a237e9989ec1c9c41c7f4d5a3b02a2664bc4d943c57c2d666e24404","schema_version":"1.0","event_id":"sha256:b24406959a237e9989ec1c9c41c7f4d5a3b02a2664bc4d943c57c2d666e24404"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VKJPPWRJD64ZTGALCVHEO6U2NA/bundle.json","state_url":"https://pith.science/pith/VKJPPWRJD64ZTGALCVHEO6U2NA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VKJPPWRJD64ZTGALCVHEO6U2NA/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":"2026-07-24T02:35:58Z","links":{"resolver":"https://pith.science/pith/VKJPPWRJD64ZTGALCVHEO6U2NA","bundle":"https://pith.science/pith/VKJPPWRJD64ZTGALCVHEO6U2NA/bundle.json","state":"https://pith.science/pith/VKJPPWRJD64ZTGALCVHEO6U2NA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VKJPPWRJD64ZTGALCVHEO6U2NA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VKJPPWRJD64ZTGALCVHEO6U2NA","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":"4b0d74d3c8c2ce09fbea53c3e39064fa6e0e83c7c64bdf9ebbb7eb1d2b4c7731","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-18T22:58:21Z","title_canon_sha256":"f3f7ace8ea9c314d25513825e00aef6964fd7dac203a9c37610e8cdbaf9576ec"},"schema_version":"1.0","source":{"id":"2112.10021","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.10021","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"arxiv_version","alias_value":"2112.10021v1","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10021","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"pith_short_12","alias_value":"VKJPPWRJD64Z","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"pith_short_16","alias_value":"VKJPPWRJD64ZTGAL","created_at":"2026-07-05T03:42:10Z"},{"alias_kind":"pith_short_8","alias_value":"VKJPPWRJ","created_at":"2026-07-05T03:42:10Z"}],"graph_snapshots":[{"event_id":"sha256:b24406959a237e9989ec1c9c41c7f4d5a3b02a2664bc4d943c57c2d666e24404","target":"graph","created_at":"2026-07-05T03:42:10Z","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/2112.10021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies continual learning (CL) for sentiment classification (SC). In this setting, the CL system learns a sequence of SC tasks incrementally in a neural network, where each task builds a classifier to classify the sentiment of reviews of a particular product category or domain. Two natural questions are: Can the system transfer the knowledge learned in the past from the previous tasks to the new task to help it learn a better model for the new task? And, can old models for previous tasks be improved in the process as well? This paper proposes a novel technique called KAN to achieve","authors_text":"Bing Liu, Hao Wang, Lei Shu, Zixuan Ke","cross_cats":["cs.AI","cs.LG","cs.NE"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-18T22:58:21Z","title":"Continual Learning with Knowledge Transfer for Sentiment Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10021","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":"sha256:797bea9ab1c251ac3efa4fc92c498208c85dbc34174d2824cf3860de454ed0e2","target":"record","created_at":"2026-07-05T03:42:10Z","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":"4b0d74d3c8c2ce09fbea53c3e39064fa6e0e83c7c64bdf9ebbb7eb1d2b4c7731","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-18T22:58:21Z","title_canon_sha256":"f3f7ace8ea9c314d25513825e00aef6964fd7dac203a9c37610e8cdbaf9576ec"},"schema_version":"1.0","source":{"id":"2112.10021","kind":"arxiv","version":1}},"canonical_sha256":"aa92f7da291fb999980b154e477a9a68334089cfc5c66bcacd4c522b7546a31b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa92f7da291fb999980b154e477a9a68334089cfc5c66bcacd4c522b7546a31b","first_computed_at":"2026-07-05T03:42:10.245672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:42:10.245672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r6/RtmX1AGs2wL+gdfVqpT+nW3+8MkM+K9i2e6az+A3UWahdyRxlFdRdD78MRYbDtGp1g4d5hbR4x1MBfhySAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:42:10.246094Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.10021","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:797bea9ab1c251ac3efa4fc92c498208c85dbc34174d2824cf3860de454ed0e2","sha256:b24406959a237e9989ec1c9c41c7f4d5a3b02a2664bc4d943c57c2d666e24404"],"state_sha256":"051ab9c28211dcfc18324559d2390ad4f9d881458d403782738b478eb67ec285"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"orALjnzeycmcjqmLty1/1V/kZruEUACNuv90Hxd/5xTAn+rkt0HUEZjAqh9XfyrrdcH4F/OxvEFgBkqcn3d2Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T02:35:58.394101Z","bundle_sha256":"2df17309d9738bbb62e9ee526cd12af5cf1b4bb17115705d291d0cee653c8eb5"}}