{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5Z5FEQEINH7YMWTJYRU4GIB2MC","short_pith_number":"pith:5Z5FEQEI","canonical_record":{"source":{"id":"2607.19219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T15:49:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b50f21b6f5164ce89ec85fa2a9863c169daa1ac4e798e919b7d0081fe874e435","abstract_canon_sha256":"f95d22a884daac6998b5fec52a15e3472845e595d209c004af17226ec3b6f7c7"},"schema_version":"1.0"},"canonical_sha256":"ee7a52408869ff865a69c469c3203a609b6d5bee9322c4378ee4ff2d80c56607","source":{"kind":"arxiv","id":"2607.19219","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19219","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19219v1","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19219","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"pith_short_12","alias_value":"5Z5FEQEINH7Y","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"pith_short_16","alias_value":"5Z5FEQEINH7YMWTJ","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"pith_short_8","alias_value":"5Z5FEQEI","created_at":"2026-07-22T01:24:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5Z5FEQEINH7YMWTJYRU4GIB2MC","target":"record","payload":{"canonical_record":{"source":{"id":"2607.19219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T15:49:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b50f21b6f5164ce89ec85fa2a9863c169daa1ac4e798e919b7d0081fe874e435","abstract_canon_sha256":"f95d22a884daac6998b5fec52a15e3472845e595d209c004af17226ec3b6f7c7"},"schema_version":"1.0"},"canonical_sha256":"ee7a52408869ff865a69c469c3203a609b6d5bee9322c4378ee4ff2d80c56607","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-22T01:24:14.909917Z","signature_b64":"fUXwqmFYae8TezVogMgPNDaJZZ0ktqnrnEjfw+FChxd/z+GVyforqaC8aZ6011M6wouJA5Icucotms/dC/4sAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee7a52408869ff865a69c469c3203a609b6d5bee9322c4378ee4ff2d80c56607","last_reissued_at":"2026-07-22T01:24:14.909166Z","signature_status":"signed_v1","first_computed_at":"2026-07-22T01:24:14.909166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.19219","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":"2026-07-22T01:24:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mbUyBp8X8mQQiKBf8ZA67CUTGp31B3P+oYQxEHTWId1Mu7vaUkWkNxpPhygoBsKSwXPXgYt6XqPfGMTGTX3DCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:41:09.637673Z"},"content_sha256":"a1795820a2a6c24deef71cbf1dadfb02b23b9db3e925952cd43773027d195469","schema_version":"1.0","event_id":"sha256:a1795820a2a6c24deef71cbf1dadfb02b23b9db3e925952cd43773027d195469"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5Z5FEQEINH7YMWTJYRU4GIB2MC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bin Yang, Jiashuo Zhang, Teng Cao, Xuefeng Jin","submitted_at":"2026-07-21T15:49:02Z","abstract_excerpt":"Large language models (LLMs) have been widely applied to automated essay scoring (AES) and automated feedback generation (AFG). However, existing studies rely primarily on prompt engineering or supervised fine-tuning, while systematic research on reinforcement learning (RL) post-training and automated evaluation of feedback quality remains limited. We propose RLAES, a unified LLM framework that jointly optimizes essay scoring and feedback generation through RL. To make feedback quality measurable, interpretable, and usable for training, we introduce Rubric-based Feedback Evaluation (RFE), an e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19219","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/2607.19219/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":"2026-07-22T01:24:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PctH+GhFPJHJZ1cl7WdvDR+OSk1uckWw5dPzqa0x1QNEH7YGGEP3g40ZOv/BB1yWvzAwC3cHXIc1GTEhjfQ3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:41:09.638296Z"},"content_sha256":"34e06308901f92ed0ccd877a11a054bb4a0a35780a549be82a4f97bd7ad394e9","schema_version":"1.0","event_id":"sha256:34e06308901f92ed0ccd877a11a054bb4a0a35780a549be82a4f97bd7ad394e9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC/bundle.json","state_url":"https://pith.science/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC/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":"2026-08-08T18:41:09Z","links":{"resolver":"https://pith.science/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC","bundle":"https://pith.science/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC/bundle.json","state":"https://pith.science/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5Z5FEQEINH7YMWTJYRU4GIB2MC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5Z5FEQEINH7YMWTJYRU4GIB2MC","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":"f95d22a884daac6998b5fec52a15e3472845e595d209c004af17226ec3b6f7c7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T15:49:02Z","title_canon_sha256":"b50f21b6f5164ce89ec85fa2a9863c169daa1ac4e798e919b7d0081fe874e435"},"schema_version":"1.0","source":{"id":"2607.19219","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19219","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19219v1","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19219","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"pith_short_12","alias_value":"5Z5FEQEINH7Y","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"pith_short_16","alias_value":"5Z5FEQEINH7YMWTJ","created_at":"2026-07-22T01:24:14Z"},{"alias_kind":"pith_short_8","alias_value":"5Z5FEQEI","created_at":"2026-07-22T01:24:14Z"}],"graph_snapshots":[{"event_id":"sha256:34e06308901f92ed0ccd877a11a054bb4a0a35780a549be82a4f97bd7ad394e9","target":"graph","created_at":"2026-07-22T01:24:14Z","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/2607.19219/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have been widely applied to automated essay scoring (AES) and automated feedback generation (AFG). However, existing studies rely primarily on prompt engineering or supervised fine-tuning, while systematic research on reinforcement learning (RL) post-training and automated evaluation of feedback quality remains limited. We propose RLAES, a unified LLM framework that jointly optimizes essay scoring and feedback generation through RL. To make feedback quality measurable, interpretable, and usable for training, we introduce Rubric-based Feedback Evaluation (RFE), an e","authors_text":"Bin Yang, Jiashuo Zhang, Teng Cao, Xuefeng Jin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T15:49:02Z","title":"Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19219","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:a1795820a2a6c24deef71cbf1dadfb02b23b9db3e925952cd43773027d195469","target":"record","created_at":"2026-07-22T01:24:14Z","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":"f95d22a884daac6998b5fec52a15e3472845e595d209c004af17226ec3b6f7c7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T15:49:02Z","title_canon_sha256":"b50f21b6f5164ce89ec85fa2a9863c169daa1ac4e798e919b7d0081fe874e435"},"schema_version":"1.0","source":{"id":"2607.19219","kind":"arxiv","version":1}},"canonical_sha256":"ee7a52408869ff865a69c469c3203a609b6d5bee9322c4378ee4ff2d80c56607","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee7a52408869ff865a69c469c3203a609b6d5bee9322c4378ee4ff2d80c56607","first_computed_at":"2026-07-22T01:24:14.909166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T01:24:14.909166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fUXwqmFYae8TezVogMgPNDaJZZ0ktqnrnEjfw+FChxd/z+GVyforqaC8aZ6011M6wouJA5Icucotms/dC/4sAw==","signature_status":"signed_v1","signed_at":"2026-07-22T01:24:14.909917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.19219","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1795820a2a6c24deef71cbf1dadfb02b23b9db3e925952cd43773027d195469","sha256:34e06308901f92ed0ccd877a11a054bb4a0a35780a549be82a4f97bd7ad394e9"],"state_sha256":"50a27a67a41e4132eeccc2cc7207c3d5ef61079a7541510885bdd3e9137ab6ad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hvtMSRUYTn9NnxT8eQdCWzD7eDamay8FGb7WFEWMX1oc22S1Iv5mLjFIjnT+QPBQ6CIfmU2UMrm0lNo4D8TQAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T18:41:09.642078Z","bundle_sha256":"003a8127a9b928e873be3b905e7e600df9e831e6a84cd4c6994e042acb586c24"}}