{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SPEEEK3ZNM52GDS3QG4WXGK3RO","short_pith_number":"pith:SPEEEK3Z","canonical_record":{"source":{"id":"2506.23524","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T05:19:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3001cdf9fe928b71eedbfd631eed6495757f511f24f39fd02edd31aa45d0f2e0","abstract_canon_sha256":"e03846c91695fe51c32cb25ea536e7836a708fd4790b655b3f4269e8ecea5813"},"schema_version":"1.0"},"canonical_sha256":"93c8422b796b3ba30e5b81b96b995b8b8c1aaee6513f5aebc1cc820b3a6d59e8","source":{"kind":"arxiv","id":"2506.23524","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23524","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23524v1","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23524","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"pith_short_12","alias_value":"SPEEEK3ZNM52","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"pith_short_16","alias_value":"SPEEEK3ZNM52GDS3","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"pith_short_8","alias_value":"SPEEEK3Z","created_at":"2026-07-05T11:29:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SPEEEK3ZNM52GDS3QG4WXGK3RO","target":"record","payload":{"canonical_record":{"source":{"id":"2506.23524","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T05:19:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3001cdf9fe928b71eedbfd631eed6495757f511f24f39fd02edd31aa45d0f2e0","abstract_canon_sha256":"e03846c91695fe51c32cb25ea536e7836a708fd4790b655b3f4269e8ecea5813"},"schema_version":"1.0"},"canonical_sha256":"93c8422b796b3ba30e5b81b96b995b8b8c1aaee6513f5aebc1cc820b3a6d59e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:23.410696Z","signature_b64":"OCRI8E4leduPWl8YbuSlljjpgOAM6Tu7iBKxADFGjPOlXaqmv8GM7iQOPq0U285ShhkwPMQJFfvG/HWQ/xDrDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93c8422b796b3ba30e5b81b96b995b8b8c1aaee6513f5aebc1cc820b3a6d59e8","last_reissued_at":"2026-07-05T11:29:23.410215Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:23.410215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.23524","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":"2026-07-05T11:29:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tBhM+V55lplw227PYfJDFPltYuiEDN3yfA4+G6bhnGF0BZ6o28K+v71xL4J/RaN0xhca8auYjZv8/DnV+laSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:11:27.695255Z"},"content_sha256":"607a2c1f1ae975985a5a5ba69ec0a62af19724d1605e29ab2baa4fadd43b9692","schema_version":"1.0","event_id":"sha256:607a2c1f1ae975985a5a5ba69ec0a62af19724d1605e29ab2baa4fadd43b9692"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SPEEEK3ZNM52GDS3QG4WXGK3RO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Hong Hanh Nguyen, Nguyen Tuan Long, Phan Quoc Hung Mai, Phuong Giang Duong, Quang Hung Nguyen","submitted_at":"2025-06-30T05:19:04Z","abstract_excerpt":"In the field of education, understanding students' opinions through their comments is crucial, especially in the Vietnamese language, where resources remain limited. Existing educational datasets often lack domain relevance and student slang. To address these gaps, we introduce NEU-ESC, a new Vietnamese dataset for Educational Sentiment Classification and Topic Classification, curated from university forums, which offers more samples, richer class diversity, longer texts, and broader vocabulary. In addition, we explore multitask learning using encoder-only language models (BERT), in which we s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23524","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/2506.23524/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":"2026-07-05T11:29:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GTWwK62+ybpJQ53A6/o9K+IQwEBY1EFBO5ys1cQOskWX9Ayetv57dJ6AfZZVFgO/KK+3AFt932pg1x4s6wwYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:11:27.696031Z"},"content_sha256":"27abd0b5d5effac0196cd8aa3a8073c93ad283cb4f00576785a028c1a163684d","schema_version":"1.0","event_id":"sha256:27abd0b5d5effac0196cd8aa3a8073c93ad283cb4f00576785a028c1a163684d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO/bundle.json","state_url":"https://pith.science/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO/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":"2026-08-07T12:11:27Z","links":{"resolver":"https://pith.science/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO","bundle":"https://pith.science/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO/bundle.json","state":"https://pith.science/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SPEEEK3ZNM52GDS3QG4WXGK3RO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SPEEEK3ZNM52GDS3QG4WXGK3RO","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":"e03846c91695fe51c32cb25ea536e7836a708fd4790b655b3f4269e8ecea5813","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T05:19:04Z","title_canon_sha256":"3001cdf9fe928b71eedbfd631eed6495757f511f24f39fd02edd31aa45d0f2e0"},"schema_version":"1.0","source":{"id":"2506.23524","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23524","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23524v1","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23524","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"pith_short_12","alias_value":"SPEEEK3ZNM52","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"pith_short_16","alias_value":"SPEEEK3ZNM52GDS3","created_at":"2026-07-05T11:29:23Z"},{"alias_kind":"pith_short_8","alias_value":"SPEEEK3Z","created_at":"2026-07-05T11:29:23Z"}],"graph_snapshots":[{"event_id":"sha256:27abd0b5d5effac0196cd8aa3a8073c93ad283cb4f00576785a028c1a163684d","target":"graph","created_at":"2026-07-05T11:29:23Z","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/2506.23524/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of education, understanding students' opinions through their comments is crucial, especially in the Vietnamese language, where resources remain limited. Existing educational datasets often lack domain relevance and student slang. To address these gaps, we introduce NEU-ESC, a new Vietnamese dataset for Educational Sentiment Classification and Topic Classification, curated from university forums, which offers more samples, richer class diversity, longer texts, and broader vocabulary. In addition, we explore multitask learning using encoder-only language models (BERT), in which we s","authors_text":"Hong Hanh Nguyen, Nguyen Tuan Long, Phan Quoc Hung Mai, Phuong Giang Duong, Quang Hung Nguyen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T05:19:04Z","title":"NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23524","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":"sha256:607a2c1f1ae975985a5a5ba69ec0a62af19724d1605e29ab2baa4fadd43b9692","target":"record","created_at":"2026-07-05T11:29:23Z","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":"e03846c91695fe51c32cb25ea536e7836a708fd4790b655b3f4269e8ecea5813","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T05:19:04Z","title_canon_sha256":"3001cdf9fe928b71eedbfd631eed6495757f511f24f39fd02edd31aa45d0f2e0"},"schema_version":"1.0","source":{"id":"2506.23524","kind":"arxiv","version":1}},"canonical_sha256":"93c8422b796b3ba30e5b81b96b995b8b8c1aaee6513f5aebc1cc820b3a6d59e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93c8422b796b3ba30e5b81b96b995b8b8c1aaee6513f5aebc1cc820b3a6d59e8","first_computed_at":"2026-07-05T11:29:23.410215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:23.410215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OCRI8E4leduPWl8YbuSlljjpgOAM6Tu7iBKxADFGjPOlXaqmv8GM7iQOPq0U285ShhkwPMQJFfvG/HWQ/xDrDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:23.410696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23524","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:607a2c1f1ae975985a5a5ba69ec0a62af19724d1605e29ab2baa4fadd43b9692","sha256:27abd0b5d5effac0196cd8aa3a8073c93ad283cb4f00576785a028c1a163684d"],"state_sha256":"2750ac40b3622c13a378b92ccd7722fb4fdab673e0ee3328af6cc11f07f501a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c2gecaeMwgpRqDwUsWWrnGVlfBMYl5GmgI56Gq+a+C7N7zt//5ISN1+7FWV/XCnLrxPh18REr8H8oSh+Jxd7Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:11:27.701568Z","bundle_sha256":"26f4664db01fbca7dfa035c7e276efca03fc8f8b6ef7ba9d0f747d9453438d8e"}}