{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6BLUU7LARYOENY3RT6CMX6CSIF","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":"ba5403ad9c6059a33ec73646e092a0f220f3af7329eb93896fc06bc240e3c8be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-17T08:29:14Z","title_canon_sha256":"6ad1f2e57b98bf32176f821f24180614c042adbefb474f2a17ce00d42ae6a2d1"},"schema_version":"1.0","source":{"id":"2411.11909","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11909","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11909v2","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11909","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"6BLUU7LARYOE","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"6BLUU7LARYOENY3R","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"6BLUU7LA","created_at":"2026-07-05T09:39:29Z"}],"graph_snapshots":[{"event_id":"sha256:dcc8dd9c2e500425137b87373e9ad95c5793249c7efed910e9bf1352f25b8574","target":"graph","created_at":"2026-07-05T09:39:29Z","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/2411.11909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As language models continue to scale, Large Language Models (LLMs) have exhibited emerging capabilities in In-Context Learning (ICL), enabling them to solve language tasks by prefixing a few in-context demonstrations (ICDs) as context. Inspired by these advancements, researchers have extended these techniques to develop Large Multimodal Models (LMMs) with ICL capabilities. However, existing LMMs face a critical issue: they often fail to effectively leverage the visual context in multimodal demonstrations and instead simply follow textual patterns. This indicates that LMMs do not achieve effect","authors_text":"Chaoya Jiang, Fei Huang, Haiyang Xu, Hongrui Jia, Ji Zhang, Mengfan Dong, Ming Yan, Shikun Zhang, Wei Ye","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-17T08:29:14Z","title":"SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11909","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:ebd8d05f728e6f68c1b6125b820505ff7d9314b5ff448c9d1e614bcece55b428","target":"record","created_at":"2026-07-05T09:39:29Z","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":"ba5403ad9c6059a33ec73646e092a0f220f3af7329eb93896fc06bc240e3c8be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-17T08:29:14Z","title_canon_sha256":"6ad1f2e57b98bf32176f821f24180614c042adbefb474f2a17ce00d42ae6a2d1"},"schema_version":"1.0","source":{"id":"2411.11909","kind":"arxiv","version":2}},"canonical_sha256":"f0574a7d608e1c46e3719f84cbf852414b0088a7557dd2b1110d771e8f991876","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0574a7d608e1c46e3719f84cbf852414b0088a7557dd2b1110d771e8f991876","first_computed_at":"2026-07-05T09:39:29.461203Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:29.461203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bqCFyY7fFy8g6HzuEyoNI7Nom1m3RlQhuugQEer33uGiAEMdbXhosyy9wj4t5BDJWReLQt4Y9J/0NyiYdB4PBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:29.461675Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11909","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebd8d05f728e6f68c1b6125b820505ff7d9314b5ff448c9d1e614bcece55b428","sha256:dcc8dd9c2e500425137b87373e9ad95c5793249c7efed910e9bf1352f25b8574"],"state_sha256":"f7d05e03397f9bb6bf119119f90439e637e04d7ed0ea1d4f79f7dfa41986dad1"}