{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HSMRGIY74ATZINOKFVD4FRU2A4","short_pith_number":"pith:HSMRGIY7","canonical_record":{"source":{"id":"2605.16651","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:44:16Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5b2fd787d1b3a2690eef0c16fc8274e30c201bbf412615c9c02e018f98992cc2","abstract_canon_sha256":"18d6598c89aef6ac26a8c45effa37980484306e77f1fbb8bb20c4717e0ea0a9e"},"schema_version":"1.0"},"canonical_sha256":"3c9913231fe0279435ca2d47c2c69a070ee05cc14d07e16ddc84c3933ffb6231","source":{"kind":"arxiv","id":"2605.16651","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16651","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16651v1","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16651","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"HSMRGIY74ATZ","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"HSMRGIY74ATZINOK","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"HSMRGIY7","created_at":"2026-05-20T00:02:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HSMRGIY74ATZINOKFVD4FRU2A4","target":"record","payload":{"canonical_record":{"source":{"id":"2605.16651","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:44:16Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5b2fd787d1b3a2690eef0c16fc8274e30c201bbf412615c9c02e018f98992cc2","abstract_canon_sha256":"18d6598c89aef6ac26a8c45effa37980484306e77f1fbb8bb20c4717e0ea0a9e"},"schema_version":"1.0"},"canonical_sha256":"3c9913231fe0279435ca2d47c2c69a070ee05cc14d07e16ddc84c3933ffb6231","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:34.351548Z","signature_b64":"7ub02ewiCx4XPB2loq1y1nozYllVlYHTSYxeKNKuyxgABZ/2d+T5CD0lf9IftQVtEsCZwS30Yfrl8qv2yUHEAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c9913231fe0279435ca2d47c2c69a070ee05cc14d07e16ddc84c3933ffb6231","last_reissued_at":"2026-05-20T00:02:34.350683Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:34.350683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.16651","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":"2026-05-20T00:02:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cjt56TcaCCwx/XZGSMFmhZZOpdURX/u6oDLEpOP+caHdkBz6s9k+MPrJfR9zHDHXP2QdTiTO94dkMWSjpjadDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T17:26:55.272185Z"},"content_sha256":"d7bede6a6f804f7e65b7dcb3438da46d1373ad867b6ddd230ee8fdfd67532a68","schema_version":"1.0","event_id":"sha256:d7bede6a6f804f7e65b7dcb3438da46d1373ad867b6ddd230ee8fdfd67532a68"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HSMRGIY74ATZINOKFVD4FRU2A4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Right Predictions, Misleading Explanations: On the Vulnerability of Vision-Language Model Explanations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Hadis Karimipour, Narges Babadi","submitted_at":"2026-05-15T21:44:16Z","abstract_excerpt":"Explanation mechanisms are increasingly used to support transparency and trust in vision-language models (VLMs), particularly in settings where model decisions require human oversight. However, the robustness of these explanations remains insufficiently understood. In this work, we investigate whether explanation heatmaps in VLMs, particularly CLIP-based models, faithfully reflect model reasoning under adversarial conditions. We show that explanation maps can be systematically manipulated while preserving the model's original prediction, revealing a disconnect between predictive behavior and e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16651","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/2605.16651/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T19:01:56.405277Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.524780Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"bb208286b93269beba5c8ca444e0f35e61eb48429b13a3e428d7edbbe18f6e95"},"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":"2026-05-20T00:02:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1jc652StcLiW+6240kK6iLodNI81IM2XaOX2PiUNiW9A7ZjBHvc+9AEKvIKL8OdA/f530Cu9nN/G7DOB0S5cAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T17:26:55.272851Z"},"content_sha256":"8baae10849409afa73f821bfaada7ab97d8c6c2eff03c01f19c766e1679bbc18","schema_version":"1.0","event_id":"sha256:8baae10849409afa73f821bfaada7ab97d8c6c2eff03c01f19c766e1679bbc18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HSMRGIY74ATZINOKFVD4FRU2A4/bundle.json","state_url":"https://pith.science/pith/HSMRGIY74ATZINOKFVD4FRU2A4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HSMRGIY74ATZINOKFVD4FRU2A4/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":"2026-05-23T17:26:55Z","links":{"resolver":"https://pith.science/pith/HSMRGIY74ATZINOKFVD4FRU2A4","bundle":"https://pith.science/pith/HSMRGIY74ATZINOKFVD4FRU2A4/bundle.json","state":"https://pith.science/pith/HSMRGIY74ATZINOKFVD4FRU2A4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HSMRGIY74ATZINOKFVD4FRU2A4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HSMRGIY74ATZINOKFVD4FRU2A4","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":"18d6598c89aef6ac26a8c45effa37980484306e77f1fbb8bb20c4717e0ea0a9e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:44:16Z","title_canon_sha256":"5b2fd787d1b3a2690eef0c16fc8274e30c201bbf412615c9c02e018f98992cc2"},"schema_version":"1.0","source":{"id":"2605.16651","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16651","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16651v1","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16651","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_12","alias_value":"HSMRGIY74ATZ","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_16","alias_value":"HSMRGIY74ATZINOK","created_at":"2026-05-20T00:02:34Z"},{"alias_kind":"pith_short_8","alias_value":"HSMRGIY7","created_at":"2026-05-20T00:02:34Z"}],"graph_snapshots":[{"event_id":"sha256:8baae10849409afa73f821bfaada7ab97d8c6c2eff03c01f19c766e1679bbc18","target":"graph","created_at":"2026-05-20T00:02:34Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:01:56.405277Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.524780Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.16651/integrity.json","findings":[],"snapshot_sha256":"bb208286b93269beba5c8ca444e0f35e61eb48429b13a3e428d7edbbe18f6e95","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Explanation mechanisms are increasingly used to support transparency and trust in vision-language models (VLMs), particularly in settings where model decisions require human oversight. However, the robustness of these explanations remains insufficiently understood. In this work, we investigate whether explanation heatmaps in VLMs, particularly CLIP-based models, faithfully reflect model reasoning under adversarial conditions. We show that explanation maps can be systematically manipulated while preserving the model's original prediction, revealing a disconnect between predictive behavior and e","authors_text":"Hadis Karimipour, Narges Babadi","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:44:16Z","title":"Right Predictions, Misleading Explanations: On the Vulnerability of Vision-Language Model Explanations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16651","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:d7bede6a6f804f7e65b7dcb3438da46d1373ad867b6ddd230ee8fdfd67532a68","target":"record","created_at":"2026-05-20T00:02:34Z","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":"18d6598c89aef6ac26a8c45effa37980484306e77f1fbb8bb20c4717e0ea0a9e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T21:44:16Z","title_canon_sha256":"5b2fd787d1b3a2690eef0c16fc8274e30c201bbf412615c9c02e018f98992cc2"},"schema_version":"1.0","source":{"id":"2605.16651","kind":"arxiv","version":1}},"canonical_sha256":"3c9913231fe0279435ca2d47c2c69a070ee05cc14d07e16ddc84c3933ffb6231","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c9913231fe0279435ca2d47c2c69a070ee05cc14d07e16ddc84c3933ffb6231","first_computed_at":"2026-05-20T00:02:34.350683Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:34.350683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7ub02ewiCx4XPB2loq1y1nozYllVlYHTSYxeKNKuyxgABZ/2d+T5CD0lf9IftQVtEsCZwS30Yfrl8qv2yUHEAw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:34.351548Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16651","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7bede6a6f804f7e65b7dcb3438da46d1373ad867b6ddd230ee8fdfd67532a68","sha256:8baae10849409afa73f821bfaada7ab97d8c6c2eff03c01f19c766e1679bbc18"],"state_sha256":"73bc26139d29d790ddee2ac31c356ac139d7682141c96ab86767ed2c30d37d64"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L13uAvt7L4k86+W8tCKqBew0cZfzEDRZbVPLe8WI0amXgx+f44xwohYZ1t2uSnyVnq70a7olUP35/3xF81YwDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T17:26:55.275749Z","bundle_sha256":"91dac9cb440446407ced4dd5d50d44d2aa33d9a556c768d7cbfbe334ed4106f1"}}