{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RER5YUPYNHSU4XUTQTDMJSLXSO","short_pith_number":"pith:RER5YUPY","canonical_record":{"source":{"id":"2608.04244","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T21:55:47Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"b41969525d26d406001c5f24f9e4988303ca8b351bb6b5b7b44b3bb8785e3f56","abstract_canon_sha256":"455a18b3788476dcce22ed09ae3e4da4a112af857d8a7f33301b5fd8aca3ef6e"},"schema_version":"1.0"},"canonical_sha256":"8923dc51f869e54e5e9384c6c4c97793ae88204902b6f05716b8b364f8fe8fdb","source":{"kind":"arxiv","id":"2608.04244","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04244","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04244v1","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04244","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"pith_short_12","alias_value":"RER5YUPYNHSU","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"pith_short_16","alias_value":"RER5YUPYNHSU4XUT","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"pith_short_8","alias_value":"RER5YUPY","created_at":"2026-08-06T01:31:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RER5YUPYNHSU4XUTQTDMJSLXSO","target":"record","payload":{"canonical_record":{"source":{"id":"2608.04244","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T21:55:47Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"b41969525d26d406001c5f24f9e4988303ca8b351bb6b5b7b44b3bb8785e3f56","abstract_canon_sha256":"455a18b3788476dcce22ed09ae3e4da4a112af857d8a7f33301b5fd8aca3ef6e"},"schema_version":"1.0"},"canonical_sha256":"8923dc51f869e54e5e9384c6c4c97793ae88204902b6f05716b8b364f8fe8fdb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:31:44.365381Z","signature_b64":"Xui/YMdL1bMhw3Ezs14TwQhsRHoRv5sccFAFMyYnBu3SX/Yj8QsNohwF/874e6jS2hyCWd71RrBhTiHSD6wdAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8923dc51f869e54e5e9384c6c4c97793ae88204902b6f05716b8b364f8fe8fdb","last_reissued_at":"2026-08-06T01:31:44.363613Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:31:44.363613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.04244","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":"2026-08-06T01:31:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TVb2bhEb1RGD2hAYnvrGPchuhJovTjIkDts4jso+Hb7gkZzLITxaCUeusvE3QeajM/fAoU4S6eQI1LJPjT5DAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:55:39.551813Z"},"content_sha256":"a0fd5b41d5d1815c89deee0d00591762a083f89b2c0e96c9b610a7dc1107c8b2","schema_version":"1.0","event_id":"sha256:a0fd5b41d5d1815c89deee0d00591762a083f89b2c0e96c9b610a7dc1107c8b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RER5YUPYNHSU4XUTQTDMJSLXSO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SIGNPOST-Bench: Benchmarking Text-Vision Conflict Resolution in Multimodal Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Fan Zhang, Haoxin Lyu, Junting Zhou, Ling Dai, Minghao Liu, Sirun Li, Yong Li","submitted_at":"2026-08-04T21:55:47Z","abstract_excerpt":"Multimodal large language models (MLLMs) make grounded predictions in real-world scenes by combining visual and textual cues, yet existing benchmarks rarely reveal how they arbitrate between these evidence sources when they conflict. We introduce SIGNPOST-Bench, a controlled counterfactual benchmark for evaluating text-vision conflict resolution. Each source image is transformed into a counterfactual quintuplet of Original, Blank, Similar, Random, and Adversarial variants. Synthetic, localized scene-text interventions are designed to preserve non-textual content, enabling paired measurements o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04244","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/2608.04244/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":"2026-08-06T01:31:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"loLJPsvHR2qOhfxhzpfhhUWt+rcbG1oAAH3gSzOScakA/rTU93er0Zq88Fw/2fmEbTZjHLT645Rnaqm/s6gxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:55:39.552780Z"},"content_sha256":"00a52661a7f5c616456b08d3d42ada11f558961156c1e10705e01b59918d4e3d","schema_version":"1.0","event_id":"sha256:00a52661a7f5c616456b08d3d42ada11f558961156c1e10705e01b59918d4e3d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RER5YUPYNHSU4XUTQTDMJSLXSO/bundle.json","state_url":"https://pith.science/pith/RER5YUPYNHSU4XUTQTDMJSLXSO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RER5YUPYNHSU4XUTQTDMJSLXSO/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":"2026-08-08T18:55:39Z","links":{"resolver":"https://pith.science/pith/RER5YUPYNHSU4XUTQTDMJSLXSO","bundle":"https://pith.science/pith/RER5YUPYNHSU4XUTQTDMJSLXSO/bundle.json","state":"https://pith.science/pith/RER5YUPYNHSU4XUTQTDMJSLXSO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RER5YUPYNHSU4XUTQTDMJSLXSO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RER5YUPYNHSU4XUTQTDMJSLXSO","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":"455a18b3788476dcce22ed09ae3e4da4a112af857d8a7f33301b5fd8aca3ef6e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T21:55:47Z","title_canon_sha256":"b41969525d26d406001c5f24f9e4988303ca8b351bb6b5b7b44b3bb8785e3f56"},"schema_version":"1.0","source":{"id":"2608.04244","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04244","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04244v1","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04244","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"pith_short_12","alias_value":"RER5YUPYNHSU","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"pith_short_16","alias_value":"RER5YUPYNHSU4XUT","created_at":"2026-08-06T01:31:44Z"},{"alias_kind":"pith_short_8","alias_value":"RER5YUPY","created_at":"2026-08-06T01:31:44Z"}],"graph_snapshots":[{"event_id":"sha256:00a52661a7f5c616456b08d3d42ada11f558961156c1e10705e01b59918d4e3d","target":"graph","created_at":"2026-08-06T01:31:44Z","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/2608.04244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal large language models (MLLMs) make grounded predictions in real-world scenes by combining visual and textual cues, yet existing benchmarks rarely reveal how they arbitrate between these evidence sources when they conflict. We introduce SIGNPOST-Bench, a controlled counterfactual benchmark for evaluating text-vision conflict resolution. Each source image is transformed into a counterfactual quintuplet of Original, Blank, Similar, Random, and Adversarial variants. Synthetic, localized scene-text interventions are designed to preserve non-textual content, enabling paired measurements o","authors_text":"Fan Zhang, Haoxin Lyu, Junting Zhou, Ling Dai, Minghao Liu, Sirun Li, Yong Li","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T21:55:47Z","title":"SIGNPOST-Bench: Benchmarking Text-Vision Conflict Resolution in Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04244","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:a0fd5b41d5d1815c89deee0d00591762a083f89b2c0e96c9b610a7dc1107c8b2","target":"record","created_at":"2026-08-06T01:31:44Z","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":"455a18b3788476dcce22ed09ae3e4da4a112af857d8a7f33301b5fd8aca3ef6e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T21:55:47Z","title_canon_sha256":"b41969525d26d406001c5f24f9e4988303ca8b351bb6b5b7b44b3bb8785e3f56"},"schema_version":"1.0","source":{"id":"2608.04244","kind":"arxiv","version":1}},"canonical_sha256":"8923dc51f869e54e5e9384c6c4c97793ae88204902b6f05716b8b364f8fe8fdb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8923dc51f869e54e5e9384c6c4c97793ae88204902b6f05716b8b364f8fe8fdb","first_computed_at":"2026-08-06T01:31:44.363613Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:31:44.363613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xui/YMdL1bMhw3Ezs14TwQhsRHoRv5sccFAFMyYnBu3SX/Yj8QsNohwF/874e6jS2hyCWd71RrBhTiHSD6wdAQ==","signature_status":"signed_v1","signed_at":"2026-08-06T01:31:44.365381Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04244","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0fd5b41d5d1815c89deee0d00591762a083f89b2c0e96c9b610a7dc1107c8b2","sha256:00a52661a7f5c616456b08d3d42ada11f558961156c1e10705e01b59918d4e3d"],"state_sha256":"f277b7405b35c41885ae641a410f17cb30bc20e18b4fbdd34213755bed722ede"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EDbODVrbcUjp4DWQ2DRsIvQnup38YTfhezqKS3sraI1bqsPMN8zj9ZbrhDDvaAtpScAAbRMejfJ/ttgouedxAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T18:55:39.567184Z","bundle_sha256":"5d8b75cbe81deb1cdcaf3de3f60e24a890e65bddbe4656ca4b4a6f41aabfa4f6"}}