{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:P4PHYPPNDHS4O2SOO26IJUADGV","short_pith_number":"pith:P4PHYPPN","canonical_record":{"source":{"id":"2502.11916","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:31:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"aeb57fffa093e5852a18572048dc7abeb23d9df713d56aff78ffbe053d170757","abstract_canon_sha256":"f1528d38000cdb06a45d49ab8f6ddc4ec2bf46a55f327ebb1b7ab3eabb39249c"},"schema_version":"1.0"},"canonical_sha256":"7f1e7c3ded19e5c76a4e76bc84d0033545a5bbcbd72ae83737b0eaf8990996e4","source":{"kind":"arxiv","id":"2502.11916","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11916","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11916v2","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11916","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"pith_short_12","alias_value":"P4PHYPPNDHS4","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"pith_short_16","alias_value":"P4PHYPPNDHS4O2SO","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"pith_short_8","alias_value":"P4PHYPPN","created_at":"2026-07-05T11:05:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:P4PHYPPNDHS4O2SOO26IJUADGV","target":"record","payload":{"canonical_record":{"source":{"id":"2502.11916","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:31:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"aeb57fffa093e5852a18572048dc7abeb23d9df713d56aff78ffbe053d170757","abstract_canon_sha256":"f1528d38000cdb06a45d49ab8f6ddc4ec2bf46a55f327ebb1b7ab3eabb39249c"},"schema_version":"1.0"},"canonical_sha256":"7f1e7c3ded19e5c76a4e76bc84d0033545a5bbcbd72ae83737b0eaf8990996e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:40.182953Z","signature_b64":"IYYd5j9thyoYGRjHRr0K1KT49BbhhDuW/0vLU5xjxwdI1BycVr73h6ShN5YOwgWcPZa7nOn6mJ0OfQfoZpDfAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f1e7c3ded19e5c76a4e76bc84d0033545a5bbcbd72ae83737b0eaf8990996e4","last_reissued_at":"2026-07-05T11:05:40.182461Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:40.182461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.11916","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:05:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DXZmHpnOHnYzno1EauDnXp/ne5rp46pwdLnlRh540e2SJmOmWNzCn+eqs+MVdFyhsyPLbnnRJBj5QLYhK4R4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:08:31.552411Z"},"content_sha256":"fa7da0a451b067d8ca44fe1b4573737890c6130774431f2da94749f9077e28fc","schema_version":"1.0","event_id":"sha256:fa7da0a451b067d8ca44fe1b4573737890c6130774431f2da94749f9077e28fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:P4PHYPPNDHS4O2SOO26IJUADGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fangteng Fu, Han Zhang, Huiyu Zhou, Jiahao Huo, Jiamin Su, Jingheng Ye, Xiang Liu, Xuming Hu, Yibo Yan","submitted_at":"2025-02-17T15:31:59Z","abstract_excerpt":"Automated Essay Scoring (AES) plays a crucial role in educational assessment by providing scalable and consistent evaluations of writing tasks. However, traditional AES systems face three major challenges: (1) reliance on handcrafted features that limit generalizability, (2) difficulty in capturing fine-grained traits like coherence and argumentation, and (3) inability to handle multimodal contexts. In the era of Multimodal Large Language Models (MLLMs), we propose EssayJudge, the first multimodal benchmark to evaluate AES capabilities across lexical-, sentence-, and discourse-level traits. By"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11916","kind":"arxiv","version":2},"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/2502.11916/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":"2026-07-05T11:05:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2QpS7PLufyxOSqN8CbmHb2cg0JYssdcrreVO4uheex6BMQSX4b70kDn8Hd8q4RwWAKoHipqXbbM12f8uNS5UAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:08:31.553035Z"},"content_sha256":"8d2d3ee6d03843ab5522b17aec794e5401662643ce5b776e6560b32142a73fe3","schema_version":"1.0","event_id":"sha256:8d2d3ee6d03843ab5522b17aec794e5401662643ce5b776e6560b32142a73fe3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P4PHYPPNDHS4O2SOO26IJUADGV/bundle.json","state_url":"https://pith.science/pith/P4PHYPPNDHS4O2SOO26IJUADGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P4PHYPPNDHS4O2SOO26IJUADGV/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":"2026-08-04T20:08:31Z","links":{"resolver":"https://pith.science/pith/P4PHYPPNDHS4O2SOO26IJUADGV","bundle":"https://pith.science/pith/P4PHYPPNDHS4O2SOO26IJUADGV/bundle.json","state":"https://pith.science/pith/P4PHYPPNDHS4O2SOO26IJUADGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P4PHYPPNDHS4O2SOO26IJUADGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P4PHYPPNDHS4O2SOO26IJUADGV","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":"f1528d38000cdb06a45d49ab8f6ddc4ec2bf46a55f327ebb1b7ab3eabb39249c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:31:59Z","title_canon_sha256":"aeb57fffa093e5852a18572048dc7abeb23d9df713d56aff78ffbe053d170757"},"schema_version":"1.0","source":{"id":"2502.11916","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11916","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11916v2","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11916","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"pith_short_12","alias_value":"P4PHYPPNDHS4","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"pith_short_16","alias_value":"P4PHYPPNDHS4O2SO","created_at":"2026-07-05T11:05:40Z"},{"alias_kind":"pith_short_8","alias_value":"P4PHYPPN","created_at":"2026-07-05T11:05:40Z"}],"graph_snapshots":[{"event_id":"sha256:8d2d3ee6d03843ab5522b17aec794e5401662643ce5b776e6560b32142a73fe3","target":"graph","created_at":"2026-07-05T11:05:40Z","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/2502.11916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated Essay Scoring (AES) plays a crucial role in educational assessment by providing scalable and consistent evaluations of writing tasks. However, traditional AES systems face three major challenges: (1) reliance on handcrafted features that limit generalizability, (2) difficulty in capturing fine-grained traits like coherence and argumentation, and (3) inability to handle multimodal contexts. In the era of Multimodal Large Language Models (MLLMs), we propose EssayJudge, the first multimodal benchmark to evaluate AES capabilities across lexical-, sentence-, and discourse-level traits. By","authors_text":"Fangteng Fu, Han Zhang, Huiyu Zhou, Jiahao Huo, Jiamin Su, Jingheng Ye, Xiang Liu, Xuming Hu, Yibo Yan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:31:59Z","title":"EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11916","kind":"arxiv","version":2},"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:fa7da0a451b067d8ca44fe1b4573737890c6130774431f2da94749f9077e28fc","target":"record","created_at":"2026-07-05T11:05:40Z","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":"f1528d38000cdb06a45d49ab8f6ddc4ec2bf46a55f327ebb1b7ab3eabb39249c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-17T15:31:59Z","title_canon_sha256":"aeb57fffa093e5852a18572048dc7abeb23d9df713d56aff78ffbe053d170757"},"schema_version":"1.0","source":{"id":"2502.11916","kind":"arxiv","version":2}},"canonical_sha256":"7f1e7c3ded19e5c76a4e76bc84d0033545a5bbcbd72ae83737b0eaf8990996e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f1e7c3ded19e5c76a4e76bc84d0033545a5bbcbd72ae83737b0eaf8990996e4","first_computed_at":"2026-07-05T11:05:40.182461Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:40.182461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IYYd5j9thyoYGRjHRr0K1KT49BbhhDuW/0vLU5xjxwdI1BycVr73h6ShN5YOwgWcPZa7nOn6mJ0OfQfoZpDfAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:40.182953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11916","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa7da0a451b067d8ca44fe1b4573737890c6130774431f2da94749f9077e28fc","sha256:8d2d3ee6d03843ab5522b17aec794e5401662643ce5b776e6560b32142a73fe3"],"state_sha256":"0da8547b28ed8922e50130554fa8b86109694f4fa847e2c576841562be8d027e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R79ftwVyuR+CllY1w0gMLKXrbmiaUhThvNf2iGG30Ctq6mKxC49gexO0CZlCheLuwVVSlrNdFtEIhXCi0E0jCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T20:08:31.558304Z","bundle_sha256":"82a8acec3354fcadd4e1316dd048ffd3de6696be269fc00e4d02ba3dbebdec77"}}