{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5SOFT276RWBHJMWNQ4PAWNSNBN","short_pith_number":"pith:5SOFT276","canonical_record":{"source":{"id":"2501.06819","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-12T14:23:17Z","cross_cats_sorted":[],"title_canon_sha256":"ad354cf7e6a4e76c97a09e2dcb2bf37eeed4233d9a5b8966056447ff84b148bd","abstract_canon_sha256":"9f05b7f881d144b1f471b851ec5abccef5f4b797a0862064b67113c44c0ea90f"},"schema_version":"1.0"},"canonical_sha256":"ec9c59ebfe8d8274b2cd871e0b364d0b42a0cff59dee34ca42acf585e9bf528f","source":{"kind":"arxiv","id":"2501.06819","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.06819","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.06819v1","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.06819","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"5SOFT276RWBH","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"5SOFT276RWBHJMWN","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"5SOFT276","created_at":"2026-07-05T10:00:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5SOFT276RWBHJMWNQ4PAWNSNBN","target":"record","payload":{"canonical_record":{"source":{"id":"2501.06819","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-12T14:23:17Z","cross_cats_sorted":[],"title_canon_sha256":"ad354cf7e6a4e76c97a09e2dcb2bf37eeed4233d9a5b8966056447ff84b148bd","abstract_canon_sha256":"9f05b7f881d144b1f471b851ec5abccef5f4b797a0862064b67113c44c0ea90f"},"schema_version":"1.0"},"canonical_sha256":"ec9c59ebfe8d8274b2cd871e0b364d0b42a0cff59dee34ca42acf585e9bf528f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:10.539613Z","signature_b64":"WtZyFDnZnq94ttuPkx/cCJ6+hFS/AvfDcjEAvprNApVKPEiv3N3Vhj6eZ9ZAwUMEzKPTrVu2R1+JE2ugIJjUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec9c59ebfe8d8274b2cd871e0b364d0b42a0cff59dee34ca42acf585e9bf528f","last_reissued_at":"2026-07-05T10:00:10.539187Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:10.539187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.06819","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":"2026-07-05T10:00:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UESWla0H3HoisovH3+DlnuN+gGQ31PDbSVODV2i7sxrI5Jgjw+qHEniDCp650meS/kmDEz2NlhRNMXUBD71SCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T12:08:32.938514Z"},"content_sha256":"b1f9016dcbec413aadcf9083951f55d6be897e6f8e8effcd2a5afa3a99a09067","schema_version":"1.0","event_id":"sha256:b1f9016dcbec413aadcf9083951f55d6be897e6f8e8effcd2a5afa3a99a09067"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5SOFT276RWBHJMWNQ4PAWNSNBN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bo Jiang, Mengqiao Zhang, Naijie Liu, Xinyu Gao, Yizhou Zhou, Yuan-Hao Jiang","submitted_at":"2025-01-12T14:23:17Z","abstract_excerpt":"This study introduces a novel method that employs tag annotation coupled with the ChatGPT language model to analyze student learning behaviors and generate personalized feedback. Central to this approach is the conversion of complex student data into an extensive set of tags, which are then decoded through tailored prompts to deliver constructive feedback that encourages rather than discourages students. This methodology focuses on accurately feeding student data into large language models and crafting prompts that enhance the constructive nature of feedback. The effectiveness of this approach"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.06819","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/2501.06819/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":"2026-07-05T10:00:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hBWLDh9RHTJsvtluP7PUnQdk9FE3zH4eK2bN/mJgosHrxNuM5btAdq2gh8cA4xE7kvxpJ5heHS/YaqosxwD0Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T12:08:32.939039Z"},"content_sha256":"c90a94eb9682f64b6f6e868a84fdd25cd26491607b1a2bb81a7f6a4fdb8f9e20","schema_version":"1.0","event_id":"sha256:c90a94eb9682f64b6f6e868a84fdd25cd26491607b1a2bb81a7f6a4fdb8f9e20"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5SOFT276RWBHJMWNQ4PAWNSNBN/bundle.json","state_url":"https://pith.science/pith/5SOFT276RWBHJMWNQ4PAWNSNBN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5SOFT276RWBHJMWNQ4PAWNSNBN/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":"2026-08-10T12:08:32Z","links":{"resolver":"https://pith.science/pith/5SOFT276RWBHJMWNQ4PAWNSNBN","bundle":"https://pith.science/pith/5SOFT276RWBHJMWNQ4PAWNSNBN/bundle.json","state":"https://pith.science/pith/5SOFT276RWBHJMWNQ4PAWNSNBN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5SOFT276RWBHJMWNQ4PAWNSNBN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5SOFT276RWBHJMWNQ4PAWNSNBN","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":"9f05b7f881d144b1f471b851ec5abccef5f4b797a0862064b67113c44c0ea90f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-12T14:23:17Z","title_canon_sha256":"ad354cf7e6a4e76c97a09e2dcb2bf37eeed4233d9a5b8966056447ff84b148bd"},"schema_version":"1.0","source":{"id":"2501.06819","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.06819","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.06819v1","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.06819","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"5SOFT276RWBH","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"5SOFT276RWBHJMWN","created_at":"2026-07-05T10:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"5SOFT276","created_at":"2026-07-05T10:00:10Z"}],"graph_snapshots":[{"event_id":"sha256:c90a94eb9682f64b6f6e868a84fdd25cd26491607b1a2bb81a7f6a4fdb8f9e20","target":"graph","created_at":"2026-07-05T10:00:10Z","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/2501.06819/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study introduces a novel method that employs tag annotation coupled with the ChatGPT language model to analyze student learning behaviors and generate personalized feedback. Central to this approach is the conversion of complex student data into an extensive set of tags, which are then decoded through tailored prompts to deliver constructive feedback that encourages rather than discourages students. This methodology focuses on accurately feeding student data into large language models and crafting prompts that enhance the constructive nature of feedback. The effectiveness of this approach","authors_text":"Bo Jiang, Mengqiao Zhang, Naijie Liu, Xinyu Gao, Yizhou Zhou, Yuan-Hao Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-12T14:23:17Z","title":"A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.06819","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:b1f9016dcbec413aadcf9083951f55d6be897e6f8e8effcd2a5afa3a99a09067","target":"record","created_at":"2026-07-05T10:00:10Z","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":"9f05b7f881d144b1f471b851ec5abccef5f4b797a0862064b67113c44c0ea90f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-01-12T14:23:17Z","title_canon_sha256":"ad354cf7e6a4e76c97a09e2dcb2bf37eeed4233d9a5b8966056447ff84b148bd"},"schema_version":"1.0","source":{"id":"2501.06819","kind":"arxiv","version":1}},"canonical_sha256":"ec9c59ebfe8d8274b2cd871e0b364d0b42a0cff59dee34ca42acf585e9bf528f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec9c59ebfe8d8274b2cd871e0b364d0b42a0cff59dee34ca42acf585e9bf528f","first_computed_at":"2026-07-05T10:00:10.539187Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:00:10.539187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WtZyFDnZnq94ttuPkx/cCJ6+hFS/AvfDcjEAvprNApVKPEiv3N3Vhj6eZ9ZAwUMEzKPTrVu2R1+JE2ugIJjUBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:00:10.539613Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.06819","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1f9016dcbec413aadcf9083951f55d6be897e6f8e8effcd2a5afa3a99a09067","sha256:c90a94eb9682f64b6f6e868a84fdd25cd26491607b1a2bb81a7f6a4fdb8f9e20"],"state_sha256":"58fc23af68667fbddb5dcc3c4ac12a23e1b03cf4cffa92755935b3cbf45e5079"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SWkHj76JyewhjuyKg3Bk1oktBJM0RXQ7Ws9lSmUdEIuuB8DRy8/aHztFSVkN4u7vKek0+jmsP7NONiGc0DEmDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T12:08:32.944457Z","bundle_sha256":"a7c13de46f53050c1c779c57e6a8ae5dbac495f2815ef6b29ef78720f861dd96"}}