{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:F4TPJ2COBKYOFCFEACUSMRYPQ7","short_pith_number":"pith:F4TPJ2CO","canonical_record":{"source":{"id":"2507.08021","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T08:07:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5a03704f086516e8433021e3fb9814064ea8a80db9632c3d7fb3a59858fe4db2","abstract_canon_sha256":"2afa0dbe15e75a6605b41044817b39718980baacda03b4136470b125e9dfe5be"},"schema_version":"1.0"},"canonical_sha256":"2f26f4e84e0ab0e288a400a926470f87d386eee0721db36bf5bf66632b7701b1","source":{"kind":"arxiv","id":"2507.08021","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08021","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08021v1","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08021","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_12","alias_value":"F4TPJ2COBKYO","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_16","alias_value":"F4TPJ2COBKYOFCFE","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_8","alias_value":"F4TPJ2CO","created_at":"2026-07-05T11:35:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:F4TPJ2COBKYOFCFEACUSMRYPQ7","target":"record","payload":{"canonical_record":{"source":{"id":"2507.08021","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T08:07:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5a03704f086516e8433021e3fb9814064ea8a80db9632c3d7fb3a59858fe4db2","abstract_canon_sha256":"2afa0dbe15e75a6605b41044817b39718980baacda03b4136470b125e9dfe5be"},"schema_version":"1.0"},"canonical_sha256":"2f26f4e84e0ab0e288a400a926470f87d386eee0721db36bf5bf66632b7701b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:15.815171Z","signature_b64":"AzI7b6bO0Tf4AKpN6D9+S2nTQiSWOyg8WNBH6N7ePhtI05hA6f801hBAgqWELoAVt4kiC7j6xLP7rHSzFI31Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f26f4e84e0ab0e288a400a926470f87d386eee0721db36bf5bf66632b7701b1","last_reissued_at":"2026-07-05T11:35:15.814676Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:15.814676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.08021","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":"2026-07-05T11:35:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QxB8lHsoppH1+5KF6mGOwi4Kt4bB4lZX+jyrZsvhK3Jslovf55rkybrEGg+9uUVTpjls45YtD6JmLtvpuH8yCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:04:13.833156Z"},"content_sha256":"1eafeab39ffba55e9161468bdc4ac467bbf492f7802bff0248fd117f0ced4b5d","schema_version":"1.0","event_id":"sha256:1eafeab39ffba55e9161468bdc4ac467bbf492f7802bff0248fd117f0ced4b5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:F4TPJ2COBKYOFCFEACUSMRYPQ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jianfei Cai, Jiawei Peng, Jingze Zhu, Li Li, Xu Yang, Yongliang Wu","submitted_at":"2025-07-08T08:07:57Z","abstract_excerpt":"The evolution of large models has witnessed the emergence of In-Context Learning (ICL) capabilities. In Natural Language Processing (NLP), numerous studies have demonstrated the effectiveness of ICL. Inspired by the success of Large Language Models (LLMs), researchers have developed Large Multimodal Models (LMMs) with ICL capabilities. However, explorations of demonstration configuration for multimodal ICL remain preliminary. Additionally, the controllability of In-Context Examples (ICEs) provides an efficient and cost-effective means to observe and analyze the inference characteristics of LMM"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08021","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/2507.08021/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":"2026-07-05T11:35:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CYEWBCQ3Wvqcb7JTSnwF0xpG/uknlRZFLUZ570rL/YlNByiLNy9sqQnLc7SabXxYCPV9C9FVEsKsUJ7/OjmmAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:04:13.833547Z"},"content_sha256":"6cd5e9827359b51b6445f2293873ef24582a455ff1bb16d1a67bc4386ee47b42","schema_version":"1.0","event_id":"sha256:6cd5e9827359b51b6445f2293873ef24582a455ff1bb16d1a67bc4386ee47b42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7/bundle.json","state_url":"https://pith.science/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7/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":"2026-07-06T15:04:13Z","links":{"resolver":"https://pith.science/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7","bundle":"https://pith.science/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7/bundle.json","state":"https://pith.science/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4TPJ2COBKYOFCFEACUSMRYPQ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:F4TPJ2COBKYOFCFEACUSMRYPQ7","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":"2afa0dbe15e75a6605b41044817b39718980baacda03b4136470b125e9dfe5be","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T08:07:57Z","title_canon_sha256":"5a03704f086516e8433021e3fb9814064ea8a80db9632c3d7fb3a59858fe4db2"},"schema_version":"1.0","source":{"id":"2507.08021","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08021","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08021v1","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08021","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_12","alias_value":"F4TPJ2COBKYO","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_16","alias_value":"F4TPJ2COBKYOFCFE","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_8","alias_value":"F4TPJ2CO","created_at":"2026-07-05T11:35:15Z"}],"graph_snapshots":[{"event_id":"sha256:6cd5e9827359b51b6445f2293873ef24582a455ff1bb16d1a67bc4386ee47b42","target":"graph","created_at":"2026-07-05T11:35:15Z","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/2507.08021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The evolution of large models has witnessed the emergence of In-Context Learning (ICL) capabilities. In Natural Language Processing (NLP), numerous studies have demonstrated the effectiveness of ICL. Inspired by the success of Large Language Models (LLMs), researchers have developed Large Multimodal Models (LMMs) with ICL capabilities. However, explorations of demonstration configuration for multimodal ICL remain preliminary. Additionally, the controllability of In-Context Examples (ICEs) provides an efficient and cost-effective means to observe and analyze the inference characteristics of LMM","authors_text":"Jianfei Cai, Jiawei Peng, Jingze Zhu, Li Li, Xu Yang, Yongliang Wu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T08:07:57Z","title":"Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08021","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":"sha256:1eafeab39ffba55e9161468bdc4ac467bbf492f7802bff0248fd117f0ced4b5d","target":"record","created_at":"2026-07-05T11:35:15Z","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":"2afa0dbe15e75a6605b41044817b39718980baacda03b4136470b125e9dfe5be","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T08:07:57Z","title_canon_sha256":"5a03704f086516e8433021e3fb9814064ea8a80db9632c3d7fb3a59858fe4db2"},"schema_version":"1.0","source":{"id":"2507.08021","kind":"arxiv","version":1}},"canonical_sha256":"2f26f4e84e0ab0e288a400a926470f87d386eee0721db36bf5bf66632b7701b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f26f4e84e0ab0e288a400a926470f87d386eee0721db36bf5bf66632b7701b1","first_computed_at":"2026-07-05T11:35:15.814676Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:15.814676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AzI7b6bO0Tf4AKpN6D9+S2nTQiSWOyg8WNBH6N7ePhtI05hA6f801hBAgqWELoAVt4kiC7j6xLP7rHSzFI31Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:15.815171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.08021","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1eafeab39ffba55e9161468bdc4ac467bbf492f7802bff0248fd117f0ced4b5d","sha256:6cd5e9827359b51b6445f2293873ef24582a455ff1bb16d1a67bc4386ee47b42"],"state_sha256":"cd7f0e3e336d8c4fe676519ef168c67af659f06b66fd6dd718a52d614f74a17e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"su2t+i5EEsRI3AZAZEshnUP8aNINuvYIM+tYQimiMC5z/dWIpnIJODThpDQzpzsxzadSJZajZ3YKy3unUOMTDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:04:13.835531Z","bundle_sha256":"8247a8ffdeee4f47b297456f87d735e5e27cd1be1d20be7c7f055bea7196788f"}}