{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:7XZHOFI5HFR5SWKNB24VBE346E","short_pith_number":"pith:7XZHOFI5","canonical_record":{"source":{"id":"2009.02835","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-07T00:15:36Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"079f5e115c621f0ff14dc0a02f9ffd980c4350bdf205bf9c5f5b6ad54d67e2d5","abstract_canon_sha256":"bc5cc23e2522701f75fd8cbdf3677dbfd0e783bd0a28256d6314037b691a1da1"},"schema_version":"1.0"},"canonical_sha256":"fdf277151d3963d9594d0eb950937cf118c54dfa549feed07914059efa1e2893","source":{"kind":"arxiv","id":"2009.02835","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.02835","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"arxiv_version","alias_value":"2009.02835v3","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.02835","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"pith_short_12","alias_value":"7XZHOFI5HFR5","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"pith_short_16","alias_value":"7XZHOFI5HFR5SWKN","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"pith_short_8","alias_value":"7XZHOFI5","created_at":"2026-07-05T03:41:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:7XZHOFI5HFR5SWKNB24VBE346E","target":"record","payload":{"canonical_record":{"source":{"id":"2009.02835","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-07T00:15:36Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"079f5e115c621f0ff14dc0a02f9ffd980c4350bdf205bf9c5f5b6ad54d67e2d5","abstract_canon_sha256":"bc5cc23e2522701f75fd8cbdf3677dbfd0e783bd0a28256d6314037b691a1da1"},"schema_version":"1.0"},"canonical_sha256":"fdf277151d3963d9594d0eb950937cf118c54dfa549feed07914059efa1e2893","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:41:37.292371Z","signature_b64":"Y8qQtz7yABjXmNUBAXxksf6K5HAH/juEqLXd8T76iU4fOit82nTRM69dO5Z+mpTodrYO9VQ2rJuc0bCP3qxyAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdf277151d3963d9594d0eb950937cf118c54dfa549feed07914059efa1e2893","last_reissued_at":"2026-07-05T03:41:37.292001Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:41:37.292001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.02835","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":"2026-07-05T03:41:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q9ei5c6hbEcPhaQNMp5K4Xurohc1FttUvDqxp1nnaYpd44NnxV87ykwmTSzoHkqObvKoHtQV1ZE+2L8PXMd3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T14:01:20.825842Z"},"content_sha256":"c4ba5e0d4475e332cd81b8da3eb193bfd15f024a2cf2b5a6b310ed1d08a27cfa","schema_version":"1.0","event_id":"sha256:c4ba5e0d4475e332cd81b8da3eb193bfd15f024a2cf2b5a6b310ed1d08a27cfa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:7XZHOFI5HFR5SWKNB24VBE346E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Denghui Zhang, Fuzhen Zhuang, Haifeng Chen, Hui Xiong, Yanchi Liu, Zixuan Yuan","submitted_at":"2020-09-07T00:15:36Z","abstract_excerpt":"Pre-trained language models such as BERT have achieved great success in a broad range of natural language processing tasks. However, BERT cannot well support E-commerce related tasks due to the lack of two levels of domain knowledge, i.e., phrase-level and product-level. On one hand, many E-commerce tasks require an accurate understanding of domain phrases, whereas such fine-grained phrase-level knowledge is not explicitly modeled by BERT's training objective. On the other hand, product-level knowledge like product associations can enhance the language modeling of E-commerce, but they are not "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.02835","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/2009.02835/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":"2026-07-05T03:41:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TkspU/Z9ySlEG/M7h5TQO4Y6UR8B3s72AbIcpQ8yJowdM1RuxSjy7ou7CpEaRYIhWOmS34QW1XAj8jouEjQhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T14:01:20.826209Z"},"content_sha256":"2acb5453d5fb6c3e4c7f81edc82bf61629d83c33828077acfdbc7eae39867e27","schema_version":"1.0","event_id":"sha256:2acb5453d5fb6c3e4c7f81edc82bf61629d83c33828077acfdbc7eae39867e27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7XZHOFI5HFR5SWKNB24VBE346E/bundle.json","state_url":"https://pith.science/pith/7XZHOFI5HFR5SWKNB24VBE346E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7XZHOFI5HFR5SWKNB24VBE346E/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":"2026-07-18T14:01:20Z","links":{"resolver":"https://pith.science/pith/7XZHOFI5HFR5SWKNB24VBE346E","bundle":"https://pith.science/pith/7XZHOFI5HFR5SWKNB24VBE346E/bundle.json","state":"https://pith.science/pith/7XZHOFI5HFR5SWKNB24VBE346E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7XZHOFI5HFR5SWKNB24VBE346E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7XZHOFI5HFR5SWKNB24VBE346E","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":"bc5cc23e2522701f75fd8cbdf3677dbfd0e783bd0a28256d6314037b691a1da1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-07T00:15:36Z","title_canon_sha256":"079f5e115c621f0ff14dc0a02f9ffd980c4350bdf205bf9c5f5b6ad54d67e2d5"},"schema_version":"1.0","source":{"id":"2009.02835","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.02835","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"arxiv_version","alias_value":"2009.02835v3","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.02835","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"pith_short_12","alias_value":"7XZHOFI5HFR5","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"pith_short_16","alias_value":"7XZHOFI5HFR5SWKN","created_at":"2026-07-05T03:41:37Z"},{"alias_kind":"pith_short_8","alias_value":"7XZHOFI5","created_at":"2026-07-05T03:41:37Z"}],"graph_snapshots":[{"event_id":"sha256:2acb5453d5fb6c3e4c7f81edc82bf61629d83c33828077acfdbc7eae39867e27","target":"graph","created_at":"2026-07-05T03:41:37Z","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/2009.02835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pre-trained language models such as BERT have achieved great success in a broad range of natural language processing tasks. However, BERT cannot well support E-commerce related tasks due to the lack of two levels of domain knowledge, i.e., phrase-level and product-level. On one hand, many E-commerce tasks require an accurate understanding of domain phrases, whereas such fine-grained phrase-level knowledge is not explicitly modeled by BERT's training objective. On the other hand, product-level knowledge like product associations can enhance the language modeling of E-commerce, but they are not ","authors_text":"Denghui Zhang, Fuzhen Zhuang, Haifeng Chen, Hui Xiong, Yanchi Liu, Zixuan Yuan","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-07T00:15:36Z","title":"E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.02835","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:c4ba5e0d4475e332cd81b8da3eb193bfd15f024a2cf2b5a6b310ed1d08a27cfa","target":"record","created_at":"2026-07-05T03:41:37Z","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":"bc5cc23e2522701f75fd8cbdf3677dbfd0e783bd0a28256d6314037b691a1da1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-07T00:15:36Z","title_canon_sha256":"079f5e115c621f0ff14dc0a02f9ffd980c4350bdf205bf9c5f5b6ad54d67e2d5"},"schema_version":"1.0","source":{"id":"2009.02835","kind":"arxiv","version":3}},"canonical_sha256":"fdf277151d3963d9594d0eb950937cf118c54dfa549feed07914059efa1e2893","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdf277151d3963d9594d0eb950937cf118c54dfa549feed07914059efa1e2893","first_computed_at":"2026-07-05T03:41:37.292001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:41:37.292001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y8qQtz7yABjXmNUBAXxksf6K5HAH/juEqLXd8T76iU4fOit82nTRM69dO5Z+mpTodrYO9VQ2rJuc0bCP3qxyAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:41:37.292371Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.02835","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4ba5e0d4475e332cd81b8da3eb193bfd15f024a2cf2b5a6b310ed1d08a27cfa","sha256:2acb5453d5fb6c3e4c7f81edc82bf61629d83c33828077acfdbc7eae39867e27"],"state_sha256":"300a11e39e61f595b57b055121d05363af21ece837d168a92e514af5aa03afe4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LJoFermmX2jK26/rcvnj+CmAAoZNgeuU4sMuIgdcFHQAWNdrcIOcIdxyg0u9cS7nAerG7weMseLS761qmbclCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T14:01:20.828249Z","bundle_sha256":"fad3bfeef3c9c2fa33c83ccb26649924fda4db0b6e0f2f26f8784a0b2d7b6f41"}}