{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FR4OSDT575HQPMKE55DQIUNK6G","short_pith_number":"pith:FR4OSDT5","canonical_record":{"source":{"id":"2505.23693","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:31:13Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"4473de5c6e4b0a33201b42f35321702cb908cea99b11fa9af0de8f52e481bd38","abstract_canon_sha256":"c7cb6bbd39284e0aea2b4206b1aa875904eb8b3eed05ad7add333e6e897d894f"},"schema_version":"1.0"},"canonical_sha256":"2c78e90e7dff4f07b144ef470451aaf19018338288f10f1f2fa2c518500a355c","source":{"kind":"arxiv","id":"2505.23693","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23693","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23693v1","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23693","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"pith_short_12","alias_value":"FR4OSDT575HQ","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"pith_short_16","alias_value":"FR4OSDT575HQPMKE","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"pith_short_8","alias_value":"FR4OSDT5","created_at":"2026-07-05T11:12:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FR4OSDT575HQPMKE55DQIUNK6G","target":"record","payload":{"canonical_record":{"source":{"id":"2505.23693","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:31:13Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"4473de5c6e4b0a33201b42f35321702cb908cea99b11fa9af0de8f52e481bd38","abstract_canon_sha256":"c7cb6bbd39284e0aea2b4206b1aa875904eb8b3eed05ad7add333e6e897d894f"},"schema_version":"1.0"},"canonical_sha256":"2c78e90e7dff4f07b144ef470451aaf19018338288f10f1f2fa2c518500a355c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:12.754946Z","signature_b64":"2EPjX/XZV+oT0vOW3EHBMTkJzTZM9GThMBL2DsW1/24q5nDBGl5yFK9jGX7pemOAYAVLAH44bTODlNu+4DRDCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c78e90e7dff4f07b144ef470451aaf19018338288f10f1f2fa2c518500a355c","last_reissued_at":"2026-07-05T11:12:12.754472Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:12.754472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.23693","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":"2026-07-05T11:12:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gxg77R5TQZiTwiKyzoYaA9cbjm6DP56rOtEvJTSMSsmPNV2/w43C0x5P5Rp6KZrFnCuW7SVzNRdDJcXeWlnBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:30:02.373051Z"},"content_sha256":"71da351a4d2ea96694147d65e4407e00b5c535838a76d510eb4dc6c69776131e","schema_version":"1.0","event_id":"sha256:71da351a4d2ea96694147d65e4407e00b5c535838a76d510eb4dc6c69776131e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FR4OSDT575HQPMKE55DQIUNK6G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Guo Gan, Tingyu Song, Tongyan Hu, Yilun Zhao","submitted_at":"2025-05-29T17:31:13Z","abstract_excerpt":"MLLMs have been widely studied for video question answering recently. However, most existing assessments focus on natural videos, overlooking synthetic videos, such as AI-generated content (AIGC). Meanwhile, some works in video generation rely on MLLMs to evaluate the quality of generated videos, but the capabilities of MLLMs on interpreting AIGC videos remain largely underexplored. To address this, we propose a new benchmark, VF-Eval, which introduces four tasks-coherence validation, error awareness, error type detection, and reasoning evaluation-to comprehensively evaluate the abilities of M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23693","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/2505.23693/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":"2026-07-05T11:12:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2nbHRGlCldkIR2JzwHxXCcguDTDtgTCMDQCKmwh8GEyh6G6yZzuKI+1rKxUEsHsybyMYumte/cSi+WDaC7EWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:30:02.373936Z"},"content_sha256":"967e4cc557bcd1564528b57044054372938d7e5eb9dd713aa8aeff9cdee62a8b","schema_version":"1.0","event_id":"sha256:967e4cc557bcd1564528b57044054372938d7e5eb9dd713aa8aeff9cdee62a8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FR4OSDT575HQPMKE55DQIUNK6G/bundle.json","state_url":"https://pith.science/pith/FR4OSDT575HQPMKE55DQIUNK6G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FR4OSDT575HQPMKE55DQIUNK6G/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":"2026-08-09T06:30:02Z","links":{"resolver":"https://pith.science/pith/FR4OSDT575HQPMKE55DQIUNK6G","bundle":"https://pith.science/pith/FR4OSDT575HQPMKE55DQIUNK6G/bundle.json","state":"https://pith.science/pith/FR4OSDT575HQPMKE55DQIUNK6G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FR4OSDT575HQPMKE55DQIUNK6G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FR4OSDT575HQPMKE55DQIUNK6G","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":"c7cb6bbd39284e0aea2b4206b1aa875904eb8b3eed05ad7add333e6e897d894f","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:31:13Z","title_canon_sha256":"4473de5c6e4b0a33201b42f35321702cb908cea99b11fa9af0de8f52e481bd38"},"schema_version":"1.0","source":{"id":"2505.23693","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23693","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23693v1","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23693","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"pith_short_12","alias_value":"FR4OSDT575HQ","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"pith_short_16","alias_value":"FR4OSDT575HQPMKE","created_at":"2026-07-05T11:12:12Z"},{"alias_kind":"pith_short_8","alias_value":"FR4OSDT5","created_at":"2026-07-05T11:12:12Z"}],"graph_snapshots":[{"event_id":"sha256:967e4cc557bcd1564528b57044054372938d7e5eb9dd713aa8aeff9cdee62a8b","target":"graph","created_at":"2026-07-05T11:12:12Z","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/2505.23693/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"MLLMs have been widely studied for video question answering recently. However, most existing assessments focus on natural videos, overlooking synthetic videos, such as AI-generated content (AIGC). Meanwhile, some works in video generation rely on MLLMs to evaluate the quality of generated videos, but the capabilities of MLLMs on interpreting AIGC videos remain largely underexplored. To address this, we propose a new benchmark, VF-Eval, which introduces four tasks-coherence validation, error awareness, error type detection, and reasoning evaluation-to comprehensively evaluate the abilities of M","authors_text":"Guo Gan, Tingyu Song, Tongyan Hu, Yilun Zhao","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:31:13Z","title":"VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23693","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":"sha256:71da351a4d2ea96694147d65e4407e00b5c535838a76d510eb4dc6c69776131e","target":"record","created_at":"2026-07-05T11:12:12Z","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":"c7cb6bbd39284e0aea2b4206b1aa875904eb8b3eed05ad7add333e6e897d894f","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:31:13Z","title_canon_sha256":"4473de5c6e4b0a33201b42f35321702cb908cea99b11fa9af0de8f52e481bd38"},"schema_version":"1.0","source":{"id":"2505.23693","kind":"arxiv","version":1}},"canonical_sha256":"2c78e90e7dff4f07b144ef470451aaf19018338288f10f1f2fa2c518500a355c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c78e90e7dff4f07b144ef470451aaf19018338288f10f1f2fa2c518500a355c","first_computed_at":"2026-07-05T11:12:12.754472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:12.754472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2EPjX/XZV+oT0vOW3EHBMTkJzTZM9GThMBL2DsW1/24q5nDBGl5yFK9jGX7pemOAYAVLAH44bTODlNu+4DRDCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:12.754946Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23693","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71da351a4d2ea96694147d65e4407e00b5c535838a76d510eb4dc6c69776131e","sha256:967e4cc557bcd1564528b57044054372938d7e5eb9dd713aa8aeff9cdee62a8b"],"state_sha256":"0109b7be7d821e58f7b8079c9fc7ee2081cea014a0447f78ab9bc5543ad6bc82"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2eicF283czYNmQeKwXi848tTOKxjT4ewE3uphTSFpmrvxD4t/syxC8vgiS+zxgnqn9lS3ejznrxMXBJqoJAjAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:30:02.379088Z","bundle_sha256":"84647a8e35414201932d8c2e6baf0c79388ef83a45ffb63e6cf6df62215e50ec"}}