{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NCW23S7JPZNNGNT7SM5GT3PETT","short_pith_number":"pith:NCW23S7J","canonical_record":{"source":{"id":"2507.21335","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T21:01:28Z","cross_cats_sorted":[],"title_canon_sha256":"c8362c9d139e4f1c2aa4ef0953ef75df129ef3bb7a1cd44a14bf5b77ed8e56a6","abstract_canon_sha256":"fd93bdee11b2b6739815a27b5767ffc4b9493df8027f6afe87ac9b3b6ec6ddc9"},"schema_version":"1.0"},"canonical_sha256":"68adadcbe97e5ad3367f933a69ede49cfb01aff535aaf84688dc2189d886aaf1","source":{"kind":"arxiv","id":"2507.21335","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21335","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21335v1","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21335","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"pith_short_12","alias_value":"NCW23S7JPZNN","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"pith_short_16","alias_value":"NCW23S7JPZNNGNT7","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"pith_short_8","alias_value":"NCW23S7J","created_at":"2026-07-05T11:44:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NCW23S7JPZNNGNT7SM5GT3PETT","target":"record","payload":{"canonical_record":{"source":{"id":"2507.21335","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T21:01:28Z","cross_cats_sorted":[],"title_canon_sha256":"c8362c9d139e4f1c2aa4ef0953ef75df129ef3bb7a1cd44a14bf5b77ed8e56a6","abstract_canon_sha256":"fd93bdee11b2b6739815a27b5767ffc4b9493df8027f6afe87ac9b3b6ec6ddc9"},"schema_version":"1.0"},"canonical_sha256":"68adadcbe97e5ad3367f933a69ede49cfb01aff535aaf84688dc2189d886aaf1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:57.890259Z","signature_b64":"aN+qHtkel0tlPsfUJGsKsPHsT6xnHFK5zNpwRqwRpKEPn85ojKynvPxBCfKJZb+NfcZ3JrC0HsyBtR86S7z+DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68adadcbe97e5ad3367f933a69ede49cfb01aff535aaf84688dc2189d886aaf1","last_reissued_at":"2026-07-05T11:44:57.889837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:57.889837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.21335","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":"2026-07-05T11:44:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ESQoM3Ap+fYl6YrLmXtyu82Bdh3AXxSrHqW8HbnaNjR4apjVNmVXK5owTNiE9geefYJiCdQr9H335s0u6h74CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:55:28.330704Z"},"content_sha256":"89b273b5135c624889895eb7265d7ea2b9aa404d612c1e915f7f5cd8d05f8ab6","schema_version":"1.0","event_id":"sha256:89b273b5135c624889895eb7265d7ea2b9aa404d612c1e915f7f5cd8d05f8ab6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NCW23S7JPZNNGNT7SM5GT3PETT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Analyzing the Sensitivity of Vision Language Models in Visual Question Answering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deepak Venugopal, Monika Shah, Sanorita Dey, Somdeb Sarkhel, Sudarshan Balaji","submitted_at":"2025-07-28T21:01:28Z","abstract_excerpt":"We can think of Visual Question Answering as a (multimodal) conversation between a human and an AI system. Here, we explore the sensitivity of Vision Language Models (VLMs) through the lens of cooperative principles of conversation proposed by Grice. Specifically, even when Grice's maxims of conversation are flouted, humans typically do not have much difficulty in understanding the conversation even though it requires more cognitive effort. Here, we study if VLMs are capable of handling violations to Grice's maxims in a manner that is similar to humans. Specifically, we add modifiers to human-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21335","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/2507.21335/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":"2026-07-05T11:44:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fZJPjLT16FWrU4auL8SlzENvowSzVgN3CvIiEbW5tVX+PWUZ8kuV1vbWTtcCOppRkOR+GrdVHYoIJYxE5sJmAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:55:28.331719Z"},"content_sha256":"bf68eae9c8499e9db6d794e835ac065c4f833272472c845bc1cf29a4569d0faa","schema_version":"1.0","event_id":"sha256:bf68eae9c8499e9db6d794e835ac065c4f833272472c845bc1cf29a4569d0faa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NCW23S7JPZNNGNT7SM5GT3PETT/bundle.json","state_url":"https://pith.science/pith/NCW23S7JPZNNGNT7SM5GT3PETT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NCW23S7JPZNNGNT7SM5GT3PETT/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":"2026-08-10T16:55:28Z","links":{"resolver":"https://pith.science/pith/NCW23S7JPZNNGNT7SM5GT3PETT","bundle":"https://pith.science/pith/NCW23S7JPZNNGNT7SM5GT3PETT/bundle.json","state":"https://pith.science/pith/NCW23S7JPZNNGNT7SM5GT3PETT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NCW23S7JPZNNGNT7SM5GT3PETT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NCW23S7JPZNNGNT7SM5GT3PETT","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":"fd93bdee11b2b6739815a27b5767ffc4b9493df8027f6afe87ac9b3b6ec6ddc9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T21:01:28Z","title_canon_sha256":"c8362c9d139e4f1c2aa4ef0953ef75df129ef3bb7a1cd44a14bf5b77ed8e56a6"},"schema_version":"1.0","source":{"id":"2507.21335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21335","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21335v1","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21335","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"pith_short_12","alias_value":"NCW23S7JPZNN","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"pith_short_16","alias_value":"NCW23S7JPZNNGNT7","created_at":"2026-07-05T11:44:57Z"},{"alias_kind":"pith_short_8","alias_value":"NCW23S7J","created_at":"2026-07-05T11:44:57Z"}],"graph_snapshots":[{"event_id":"sha256:bf68eae9c8499e9db6d794e835ac065c4f833272472c845bc1cf29a4569d0faa","target":"graph","created_at":"2026-07-05T11:44:57Z","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/2507.21335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We can think of Visual Question Answering as a (multimodal) conversation between a human and an AI system. Here, we explore the sensitivity of Vision Language Models (VLMs) through the lens of cooperative principles of conversation proposed by Grice. Specifically, even when Grice's maxims of conversation are flouted, humans typically do not have much difficulty in understanding the conversation even though it requires more cognitive effort. Here, we study if VLMs are capable of handling violations to Grice's maxims in a manner that is similar to humans. Specifically, we add modifiers to human-","authors_text":"Deepak Venugopal, Monika Shah, Sanorita Dey, Somdeb Sarkhel, Sudarshan Balaji","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T21:01:28Z","title":"Analyzing the Sensitivity of Vision Language Models in Visual Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21335","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":"sha256:89b273b5135c624889895eb7265d7ea2b9aa404d612c1e915f7f5cd8d05f8ab6","target":"record","created_at":"2026-07-05T11:44:57Z","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":"fd93bdee11b2b6739815a27b5767ffc4b9493df8027f6afe87ac9b3b6ec6ddc9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T21:01:28Z","title_canon_sha256":"c8362c9d139e4f1c2aa4ef0953ef75df129ef3bb7a1cd44a14bf5b77ed8e56a6"},"schema_version":"1.0","source":{"id":"2507.21335","kind":"arxiv","version":1}},"canonical_sha256":"68adadcbe97e5ad3367f933a69ede49cfb01aff535aaf84688dc2189d886aaf1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68adadcbe97e5ad3367f933a69ede49cfb01aff535aaf84688dc2189d886aaf1","first_computed_at":"2026-07-05T11:44:57.889837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:57.889837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aN+qHtkel0tlPsfUJGsKsPHsT6xnHFK5zNpwRqwRpKEPn85ojKynvPxBCfKJZb+NfcZ3JrC0HsyBtR86S7z+DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:57.890259Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.21335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89b273b5135c624889895eb7265d7ea2b9aa404d612c1e915f7f5cd8d05f8ab6","sha256:bf68eae9c8499e9db6d794e835ac065c4f833272472c845bc1cf29a4569d0faa"],"state_sha256":"56f288118bd3b8df961751085e72553a8367a1fbccbd4251b6c89551e82511bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wWBoI3ZADIFsd7r3ZDcDsz6Vj5ujAW95Ao+zuwXVgLIZih4cHRjuy6MJpvlo0t3IdlQZnhK7F+bLxiNXNeTlCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T16:55:28.337919Z","bundle_sha256":"68b78d7405867dbcf71a83ec0c76ea21a620c1c578850e339692f6e1e7738779"}}