{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:T5XCMKSYSIH36VAFDUM5RDPKZ2","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":"cf9c0d26c9844280726bf9e1b158cf088196353fe65ca77b2d2aa190ae2f395f","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T03:59:59Z","title_canon_sha256":"4ed0415f107ab0f246a1bf9ba3feb330b0bdbfc790aac2be6ad3308e0f893b2f"},"schema_version":"1.0","source":{"id":"2412.07801","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07801","created_at":"2026-07-05T09:47:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07801v1","created_at":"2026-07-05T09:47:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07801","created_at":"2026-07-05T09:47:39Z"},{"alias_kind":"pith_short_12","alias_value":"T5XCMKSYSIH3","created_at":"2026-07-05T09:47:39Z"},{"alias_kind":"pith_short_16","alias_value":"T5XCMKSYSIH36VAF","created_at":"2026-07-05T09:47:39Z"},{"alias_kind":"pith_short_8","alias_value":"T5XCMKSY","created_at":"2026-07-05T09:47:39Z"}],"graph_snapshots":[{"event_id":"sha256:f3dba9216accc7b7c281520ad37b050dd6d0199ef1f41fd9e1d6602815d772ee","target":"graph","created_at":"2026-07-05T09:47:39Z","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/2412.07801/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large multimodal models (LMMs) have shown remarkable performance in the visual commonsense reasoning (VCR) task, which aims to answer a multiple-choice question based on visual commonsense within an image. However, the ability of LMMs to correct potential visual commonsense errors in the distractor upon their occurrence is yet under-explored. Drawing inspiration from how a human teacher crafts challenging distractors to test students' comprehension of the concepts or skills and assists them in identifying and correcting errors toward the answer, we are the pioneering research for LMMs to simul","authors_text":"Jiali Chen, Jiayuan Xie, Qing Li, Xusen Hei, Yi Cai, Yuancheng Wei, Yuqi Xue","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T03:59:59Z","title":"Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07801","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:dee7838c5083b2fe7499634fce79d5392c70a51fe8edc79fa929361cf9b19b0f","target":"record","created_at":"2026-07-05T09:47:39Z","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":"cf9c0d26c9844280726bf9e1b158cf088196353fe65ca77b2d2aa190ae2f395f","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T03:59:59Z","title_canon_sha256":"4ed0415f107ab0f246a1bf9ba3feb330b0bdbfc790aac2be6ad3308e0f893b2f"},"schema_version":"1.0","source":{"id":"2412.07801","kind":"arxiv","version":1}},"canonical_sha256":"9f6e262a58920fbf54051d19d88deace8f367aa8ada3eb3968a599a0eddd8948","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f6e262a58920fbf54051d19d88deace8f367aa8ada3eb3968a599a0eddd8948","first_computed_at":"2026-07-05T09:47:39.333519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:39.333519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PWJuQcnKbP7M/L5Lhdg6x7MUsnDazPEUiytTJrV6bqGSy4UvJaAd7K8qzC+Chm5PcyfAUwHsbsexZiiISVl2AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:39.334035Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07801","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dee7838c5083b2fe7499634fce79d5392c70a51fe8edc79fa929361cf9b19b0f","sha256:f3dba9216accc7b7c281520ad37b050dd6d0199ef1f41fd9e1d6602815d772ee"],"state_sha256":"f4ad668e45675cb88fd9efcb8103bf82abc6697b292ecb785ef86adf149e6cfe"}