{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6NRINCI7RJIJ3O65SRE5FI7433","short_pith_number":"pith:6NRINCI7","canonical_record":{"source":{"id":"2608.11616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T03:52:57Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"4a55c62aa6378414dc9921c8c6b15e39bc6485da0d55c1fe066196d59e313036","abstract_canon_sha256":"fa4e7b4d475e9d2664fe01cf8ab4da1b9ec8eca15229e9b7ecc0e6e727cc3c8f"},"schema_version":"1.0"},"canonical_sha256":"f36286891f8a509dbbdd9449d2a3fcdefc232e164dc86f0ef1274ed580d8158d","source":{"kind":"arxiv","id":"2608.11616","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11616","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11616v1","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11616","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"6NRINCI7RJIJ","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"6NRINCI7RJIJ3O65","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"6NRINCI7","created_at":"2026-08-13T00:22:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6NRINCI7RJIJ3O65SRE5FI7433","target":"record","payload":{"canonical_record":{"source":{"id":"2608.11616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T03:52:57Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"4a55c62aa6378414dc9921c8c6b15e39bc6485da0d55c1fe066196d59e313036","abstract_canon_sha256":"fa4e7b4d475e9d2664fe01cf8ab4da1b9ec8eca15229e9b7ecc0e6e727cc3c8f"},"schema_version":"1.0"},"canonical_sha256":"f36286891f8a509dbbdd9449d2a3fcdefc232e164dc86f0ef1274ed580d8158d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T00:22:19.109128Z","signature_b64":"zxDHFHOjsYLz+5/RDfEcLczgWttor+MfWCuIRT6fIxh1wy/mBBBeK/lTkufm+VWatfVdJ3tWNIVigSzAD+cIAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f36286891f8a509dbbdd9449d2a3fcdefc232e164dc86f0ef1274ed580d8158d","last_reissued_at":"2026-08-13T00:22:19.107230Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T00:22:19.107230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.11616","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":"2026-08-13T00:22:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rXOhLg3c5l3IQwhYRwUpjrtqaSQlXRizNLxwmQAKNJ+9pwCeOEIQyfHga3wPFvvGoMsVplmy9YJHdVrRjiBEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:25:28.633855Z"},"content_sha256":"dd0d948e6ab0bc6c3abf9ca85c73e27c694326a3336dfb8d024fa4351fdc51f8","schema_version":"1.0","event_id":"sha256:dd0d948e6ab0bc6c3abf9ca85c73e27c694326a3336dfb8d024fa4351fdc51f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6NRINCI7RJIJ3O65SRE5FI7433","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MBA: Multimodal Benchmark and Agents for Real-World Business Ideation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Hojun Choi, Hyunjung Shim, Jaeyo Shin, Suin Lee","submitted_at":"2026-08-12T03:52:57Z","abstract_excerpt":"Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing approaches remain confined to a text-only paradigm, despite the inherently multimodal nature of real-world contexts. We thus introduce MBA-Bench, the first multimodal benchmark for training and evaluating business ideation agents, comprising 30K samples across six domains, each domain characterized by distinct visual cues not fully conveyed by text alone. Concretely, we automatically caption images and employ GPT-4o to generate five reference ideas for each of three busines"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11616","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/2608.11616/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":"2026-08-13T00:22:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YM2RXLOxPpmqhUqmiM7JSISrTNRAST7+f4Z+ygOMeY5xAJClk8kQ0RH51jlON8eOQKGuAI37DeU3PQzdA9txAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:25:28.634590Z"},"content_sha256":"524c0799e2729581d281444886a273c9381486914f33a43c01a46b029cb0ea08","schema_version":"1.0","event_id":"sha256:524c0799e2729581d281444886a273c9381486914f33a43c01a46b029cb0ea08"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6NRINCI7RJIJ3O65SRE5FI7433/bundle.json","state_url":"https://pith.science/pith/6NRINCI7RJIJ3O65SRE5FI7433/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6NRINCI7RJIJ3O65SRE5FI7433/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":"2026-08-20T02:25:28Z","links":{"resolver":"https://pith.science/pith/6NRINCI7RJIJ3O65SRE5FI7433","bundle":"https://pith.science/pith/6NRINCI7RJIJ3O65SRE5FI7433/bundle.json","state":"https://pith.science/pith/6NRINCI7RJIJ3O65SRE5FI7433/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6NRINCI7RJIJ3O65SRE5FI7433/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6NRINCI7RJIJ3O65SRE5FI7433","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":"fa4e7b4d475e9d2664fe01cf8ab4da1b9ec8eca15229e9b7ecc0e6e727cc3c8f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T03:52:57Z","title_canon_sha256":"4a55c62aa6378414dc9921c8c6b15e39bc6485da0d55c1fe066196d59e313036"},"schema_version":"1.0","source":{"id":"2608.11616","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11616","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11616v1","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11616","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"6NRINCI7RJIJ","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"6NRINCI7RJIJ3O65","created_at":"2026-08-13T00:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"6NRINCI7","created_at":"2026-08-13T00:22:19Z"}],"graph_snapshots":[{"event_id":"sha256:524c0799e2729581d281444886a273c9381486914f33a43c01a46b029cb0ea08","target":"graph","created_at":"2026-08-13T00:22:19Z","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/2608.11616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing approaches remain confined to a text-only paradigm, despite the inherently multimodal nature of real-world contexts. We thus introduce MBA-Bench, the first multimodal benchmark for training and evaluating business ideation agents, comprising 30K samples across six domains, each domain characterized by distinct visual cues not fully conveyed by text alone. Concretely, we automatically caption images and employ GPT-4o to generate five reference ideas for each of three busines","authors_text":"Hojun Choi, Hyunjung Shim, Jaeyo Shin, Suin Lee","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T03:52:57Z","title":"MBA: Multimodal Benchmark and Agents for Real-World Business Ideation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11616","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:dd0d948e6ab0bc6c3abf9ca85c73e27c694326a3336dfb8d024fa4351fdc51f8","target":"record","created_at":"2026-08-13T00:22:19Z","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":"fa4e7b4d475e9d2664fe01cf8ab4da1b9ec8eca15229e9b7ecc0e6e727cc3c8f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-12T03:52:57Z","title_canon_sha256":"4a55c62aa6378414dc9921c8c6b15e39bc6485da0d55c1fe066196d59e313036"},"schema_version":"1.0","source":{"id":"2608.11616","kind":"arxiv","version":1}},"canonical_sha256":"f36286891f8a509dbbdd9449d2a3fcdefc232e164dc86f0ef1274ed580d8158d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f36286891f8a509dbbdd9449d2a3fcdefc232e164dc86f0ef1274ed580d8158d","first_computed_at":"2026-08-13T00:22:19.107230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-13T00:22:19.107230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zxDHFHOjsYLz+5/RDfEcLczgWttor+MfWCuIRT6fIxh1wy/mBBBeK/lTkufm+VWatfVdJ3tWNIVigSzAD+cIAw==","signature_status":"signed_v1","signed_at":"2026-08-13T00:22:19.109128Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.11616","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd0d948e6ab0bc6c3abf9ca85c73e27c694326a3336dfb8d024fa4351fdc51f8","sha256:524c0799e2729581d281444886a273c9381486914f33a43c01a46b029cb0ea08"],"state_sha256":"91189859be80cc7e907fb058677d39c4238d26f0ae8bedb500b3b2c988b946ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VSEXvfuuJGtQfO1gU7wcfKPrbMAoSCgvPcWwbnrhV8lZ79+/t8myvNmzXEeRoj7jla2UoJ8e8df8i8a18wUxAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T02:25:28.640124Z","bundle_sha256":"b928317477027cc7dc1a2bcc7c2f5ecea152043db0c9d511e9fb4c0da2eef9cb"}}