{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2TNNE5WIMGD64UUI5KAMOXI6TA","short_pith_number":"pith:2TNNE5WI","canonical_record":{"source":{"id":"2502.20748","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-28T05:54:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5690e06ab4641224cac1db2d342ba6c8b927a3899f78b5ee2d52bd46b64f2ef2","abstract_canon_sha256":"8c142cc57e54f90934524387e99446ee11cb0ba02ebb4e62d5b78a49600f4b4d"},"schema_version":"1.0"},"canonical_sha256":"d4dad276c86187ee5288ea80c75d1e981bbeaec8c955ea4eeb666f2a10340069","source":{"kind":"arxiv","id":"2502.20748","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20748","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20748v1","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20748","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"pith_short_12","alias_value":"2TNNE5WIMGD6","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"pith_short_16","alias_value":"2TNNE5WIMGD64UUI","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"pith_short_8","alias_value":"2TNNE5WI","created_at":"2026-07-05T10:21:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2TNNE5WIMGD64UUI5KAMOXI6TA","target":"record","payload":{"canonical_record":{"source":{"id":"2502.20748","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-28T05:54:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5690e06ab4641224cac1db2d342ba6c8b927a3899f78b5ee2d52bd46b64f2ef2","abstract_canon_sha256":"8c142cc57e54f90934524387e99446ee11cb0ba02ebb4e62d5b78a49600f4b4d"},"schema_version":"1.0"},"canonical_sha256":"d4dad276c86187ee5288ea80c75d1e981bbeaec8c955ea4eeb666f2a10340069","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:39.001603Z","signature_b64":"77dHEuIhgQ09plUx/PEdLmYQwkcT/M3RKAjGF2bHNpmdeA3u74jk/uuFtQgCgWJ2nde0fEER1NLStYr2W2YNAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4dad276c86187ee5288ea80c75d1e981bbeaec8c955ea4eeb666f2a10340069","last_reissued_at":"2026-07-05T10:21:39.001089Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:39.001089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.20748","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":"2026-07-05T10:21:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dwewg0avRSdAsdzvpokVANoxiAI92vSvJ+P95auAJaAjNIlvvIViuchDWn1fWJTpgSwn9UistbEkJsowDqpOCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:00:08.803435Z"},"content_sha256":"2fa491057da8758fa57afcf64c7cecdecf3c6aa515e9b5bb27667155e1e0f709","schema_version":"1.0","event_id":"sha256:2fa491057da8758fa57afcf64c7cecdecf3c6aa515e9b5bb27667155e1e0f709"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2TNNE5WIMGD64UUI5KAMOXI6TA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay Scoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Gary Geunbae Lee, Heejin Do, Sangwon Ryu","submitted_at":"2025-02-28T05:54:23Z","abstract_excerpt":"Multi-trait automated essay scoring (AES) systems provide a fine-grained evaluation of an essay's diverse aspects. While they excel in scoring, prior systems fail to explain why specific trait scores are assigned. This lack of transparency leaves instructors and learners unconvinced of the AES outputs, hindering their practical use. To address this, we propose a self-explainable Rationale-Driven Multi-trait automated Essay scoring (RaDME) framework. RaDME leverages the reasoning capabilities of large language models (LLMs) by distilling them into a smaller yet effective scorer. This more manag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20748","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/2502.20748/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":"2026-07-05T10:21:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yqqwVbhWqiCqLIaBmpEFZ1JYP7RpKy/GJiQNYrmp5P1JyaydGNVr2vuw99+vk+/N2h8bhL4bNFY13wZpr5A+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:00:08.803974Z"},"content_sha256":"1eaaf3d1b58b6f4865e6ad39f6ffef82991797c1800bd9e6e8742d413cc025b3","schema_version":"1.0","event_id":"sha256:1eaaf3d1b58b6f4865e6ad39f6ffef82991797c1800bd9e6e8742d413cc025b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2TNNE5WIMGD64UUI5KAMOXI6TA/bundle.json","state_url":"https://pith.science/pith/2TNNE5WIMGD64UUI5KAMOXI6TA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2TNNE5WIMGD64UUI5KAMOXI6TA/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":"2026-08-09T22:00:08Z","links":{"resolver":"https://pith.science/pith/2TNNE5WIMGD64UUI5KAMOXI6TA","bundle":"https://pith.science/pith/2TNNE5WIMGD64UUI5KAMOXI6TA/bundle.json","state":"https://pith.science/pith/2TNNE5WIMGD64UUI5KAMOXI6TA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2TNNE5WIMGD64UUI5KAMOXI6TA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2TNNE5WIMGD64UUI5KAMOXI6TA","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":"8c142cc57e54f90934524387e99446ee11cb0ba02ebb4e62d5b78a49600f4b4d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-28T05:54:23Z","title_canon_sha256":"5690e06ab4641224cac1db2d342ba6c8b927a3899f78b5ee2d52bd46b64f2ef2"},"schema_version":"1.0","source":{"id":"2502.20748","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20748","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20748v1","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20748","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"pith_short_12","alias_value":"2TNNE5WIMGD6","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"pith_short_16","alias_value":"2TNNE5WIMGD64UUI","created_at":"2026-07-05T10:21:39Z"},{"alias_kind":"pith_short_8","alias_value":"2TNNE5WI","created_at":"2026-07-05T10:21:39Z"}],"graph_snapshots":[{"event_id":"sha256:1eaaf3d1b58b6f4865e6ad39f6ffef82991797c1800bd9e6e8742d413cc025b3","target":"graph","created_at":"2026-07-05T10:21:39Z","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/2502.20748/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-trait automated essay scoring (AES) systems provide a fine-grained evaluation of an essay's diverse aspects. While they excel in scoring, prior systems fail to explain why specific trait scores are assigned. This lack of transparency leaves instructors and learners unconvinced of the AES outputs, hindering their practical use. To address this, we propose a self-explainable Rationale-Driven Multi-trait automated Essay scoring (RaDME) framework. RaDME leverages the reasoning capabilities of large language models (LLMs) by distilling them into a smaller yet effective scorer. This more manag","authors_text":"Gary Geunbae Lee, Heejin Do, Sangwon Ryu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-28T05:54:23Z","title":"Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay Scoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20748","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":"sha256:2fa491057da8758fa57afcf64c7cecdecf3c6aa515e9b5bb27667155e1e0f709","target":"record","created_at":"2026-07-05T10:21:39Z","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":"8c142cc57e54f90934524387e99446ee11cb0ba02ebb4e62d5b78a49600f4b4d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-28T05:54:23Z","title_canon_sha256":"5690e06ab4641224cac1db2d342ba6c8b927a3899f78b5ee2d52bd46b64f2ef2"},"schema_version":"1.0","source":{"id":"2502.20748","kind":"arxiv","version":1}},"canonical_sha256":"d4dad276c86187ee5288ea80c75d1e981bbeaec8c955ea4eeb666f2a10340069","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4dad276c86187ee5288ea80c75d1e981bbeaec8c955ea4eeb666f2a10340069","first_computed_at":"2026-07-05T10:21:39.001089Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:39.001089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"77dHEuIhgQ09plUx/PEdLmYQwkcT/M3RKAjGF2bHNpmdeA3u74jk/uuFtQgCgWJ2nde0fEER1NLStYr2W2YNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:39.001603Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20748","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2fa491057da8758fa57afcf64c7cecdecf3c6aa515e9b5bb27667155e1e0f709","sha256:1eaaf3d1b58b6f4865e6ad39f6ffef82991797c1800bd9e6e8742d413cc025b3"],"state_sha256":"de96ed468d804241253244d8f56317db6b7b5a4def2f6930667045df59947757"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0e3G6SRyiIhaf4pXbWVTu5Jf4X4NnlVfvJ72CfwPqTFSYtwOPvAiUF3Rj8CQIv8S+d85byHFTfQDItALhQG1Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T22:00:08.808813Z","bundle_sha256":"ee6761cead47034d359d5d1b352050dd511df1f6e26f53cf8461f4d302934ebc"}}