{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XOTSV3DQJ2EF3IJ3JMVF725UPE","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":"77ae847fb16ab15d1a9e8f7dd3659e97aec7d6a966b217cff86dd7da7a1406ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-08T00:43:28Z","title_canon_sha256":"cf2647e6654036d83ad348b42437d4a959fe3067ec8c84e3195476cae6eee97b"},"schema_version":"1.0","source":{"id":"2505.04869","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04869","created_at":"2026-07-05T11:00:14Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04869v1","created_at":"2026-07-05T11:00:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04869","created_at":"2026-07-05T11:00:14Z"},{"alias_kind":"pith_short_12","alias_value":"XOTSV3DQJ2EF","created_at":"2026-07-05T11:00:14Z"},{"alias_kind":"pith_short_16","alias_value":"XOTSV3DQJ2EF3IJ3","created_at":"2026-07-05T11:00:14Z"},{"alias_kind":"pith_short_8","alias_value":"XOTSV3DQ","created_at":"2026-07-05T11:00:14Z"}],"graph_snapshots":[{"event_id":"sha256:bff3f6733fba9141314f9df7c79f82f56b51b6a90f1948b2a5c33ee8e5ebd153","target":"graph","created_at":"2026-07-05T11:00:14Z","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/2505.04869/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Producing large volumes of high-quality, timely feedback poses significant challenges to instructors. To address this issue, automation technologies-particularly Large Language Models (LLMs)-show great potential. However, current LLM-based research still shows room for improvement in terms of feedback quality. Our study proposed a multi-agent approach performing \"generation, evaluation, and regeneration\" (G-E-RG) to further enhance feedback quality. In the first-generation phase, six methods were adopted, combining three feedback theoretical frameworks and two prompt methods: zero-shot and ret","authors_text":"Chloe Qianhui Zhao, Christian Schunn, Jie Cao, Jionghao Lin, Kenneth R. Koedinger, Shuman Wang, Xian Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-08T00:43:28Z","title":"From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04869","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":"sha256:416791cdd0aa68bccc1c2e1136b908ca2ba305e7d877a2ff6da2aa042259110d","target":"record","created_at":"2026-07-05T11:00:14Z","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":"77ae847fb16ab15d1a9e8f7dd3659e97aec7d6a966b217cff86dd7da7a1406ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-08T00:43:28Z","title_canon_sha256":"cf2647e6654036d83ad348b42437d4a959fe3067ec8c84e3195476cae6eee97b"},"schema_version":"1.0","source":{"id":"2505.04869","kind":"arxiv","version":1}},"canonical_sha256":"bba72aec704e885da13b4b2a5febb4792e11e8df9479f4e6fd12a49e7e005523","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bba72aec704e885da13b4b2a5febb4792e11e8df9479f4e6fd12a49e7e005523","first_computed_at":"2026-07-05T11:00:14.895590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:00:14.895590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ZsK0xBo3AxobmlA5X3qTQmI5T9SJRhnRXQAjleNj+B9iJrRCyul8NvrlTvtnOO4zHtRRZXtxD5rmngXfmfwBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:00:14.896088Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.04869","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:416791cdd0aa68bccc1c2e1136b908ca2ba305e7d877a2ff6da2aa042259110d","sha256:bff3f6733fba9141314f9df7c79f82f56b51b6a90f1948b2a5c33ee8e5ebd153"],"state_sha256":"33e709edcea014105512baa2fb0a83bc39e2a0f4a77a9fe5dacdbcd815f205a2"}