{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DNFYC4ECJNTCF4NXEKLGOMKQBD","short_pith_number":"pith:DNFYC4EC","canonical_record":{"source":{"id":"2502.02454","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T16:20:41Z","cross_cats_sorted":[],"title_canon_sha256":"497f5813c6e7bea6ccd7844ce650fab5275779244b133fd18ecb8f856b42a0e3","abstract_canon_sha256":"1e1304faf2208e4d6bcdaf5d4ce82fa496b3e5f1dbccd27b624f16c464d408e3"},"schema_version":"1.0"},"canonical_sha256":"1b4b8170824b6622f1b7229667315008f0b50ef6ee2bd5e535c3d5015162b5e5","source":{"kind":"arxiv","id":"2502.02454","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.02454","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.02454v4","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.02454","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"pith_short_12","alias_value":"DNFYC4ECJNTC","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"pith_short_16","alias_value":"DNFYC4ECJNTCF4NX","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"pith_short_8","alias_value":"DNFYC4EC","created_at":"2026-07-05T10:56:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DNFYC4ECJNTCF4NXEKLGOMKQBD","target":"record","payload":{"canonical_record":{"source":{"id":"2502.02454","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T16:20:41Z","cross_cats_sorted":[],"title_canon_sha256":"497f5813c6e7bea6ccd7844ce650fab5275779244b133fd18ecb8f856b42a0e3","abstract_canon_sha256":"1e1304faf2208e4d6bcdaf5d4ce82fa496b3e5f1dbccd27b624f16c464d408e3"},"schema_version":"1.0"},"canonical_sha256":"1b4b8170824b6622f1b7229667315008f0b50ef6ee2bd5e535c3d5015162b5e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:56:15.425574Z","signature_b64":"fLRZ4xRlHg55k27++PoPtks1xyBrUc0VhABLLQ9KCgO6MeyV+tEyX+2ApgN33f7eEkygYwra/tqyUGAElyhVCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b4b8170824b6622f1b7229667315008f0b50ef6ee2bd5e535c3d5015162b5e5","last_reissued_at":"2026-07-05T10:56:15.425069Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:56:15.425069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.02454","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:56:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"txNIabg1fO4VHkLM1fKZoHOXylYvlwsuA295ztCWTuhR4SX1kewcHsNHMH6MNhxgxHsTpnZHV7z/lpuP/YMbCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:39:37.665174Z"},"content_sha256":"ca523a153e8247513e36a2cd9223bc301558bd620aab6c250837defb93c82138","schema_version":"1.0","event_id":"sha256:ca523a153e8247513e36a2cd9223bc301558bd620aab6c250837defb93c82138"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DNFYC4ECJNTCF4NXEKLGOMKQBD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chun Yuan, Jinwei Fang, Ke Zhang, Quan Zhang, Xi Lin, Xi Tang, Yuxin Qi","submitted_at":"2025-02-04T16:20:41Z","abstract_excerpt":"Using extensive training data from SA-1B, the Segment Anything Model (SAM) has demonstrated exceptional generalization and zero-shot capabilities, attracting widespread attention in areas such as medical image segmentation and remote sensing image segmentation. However, its performance in the field of image manipulation detection remains largely unexplored and unconfirmed. There are two main challenges in applying SAM to image manipulation detection: a) reliance on manual prompts, and b) the difficulty of single-view information in supporting cross-dataset generalization. To address these chal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.02454","kind":"arxiv","version":4},"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/2502.02454/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":"2026-07-05T10:56:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/utz3kYpRcKTWVBW0Ut+nLFXytzDa0CPcQtnUOk1PSjkRRvc/2RybB66wL/oGVcVNme+PXUDtniT+hsImXZrCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:39:37.665665Z"},"content_sha256":"bf5dddeeb0d54e09def094c43405e8afd680a29e30aeb93d88e4dca228326d6d","schema_version":"1.0","event_id":"sha256:bf5dddeeb0d54e09def094c43405e8afd680a29e30aeb93d88e4dca228326d6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD/bundle.json","state_url":"https://pith.science/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD/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":"2026-08-08T13:39:37Z","links":{"resolver":"https://pith.science/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD","bundle":"https://pith.science/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD/bundle.json","state":"https://pith.science/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DNFYC4ECJNTCF4NXEKLGOMKQBD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DNFYC4ECJNTCF4NXEKLGOMKQBD","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":"1e1304faf2208e4d6bcdaf5d4ce82fa496b3e5f1dbccd27b624f16c464d408e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T16:20:41Z","title_canon_sha256":"497f5813c6e7bea6ccd7844ce650fab5275779244b133fd18ecb8f856b42a0e3"},"schema_version":"1.0","source":{"id":"2502.02454","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.02454","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.02454v4","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.02454","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"pith_short_12","alias_value":"DNFYC4ECJNTC","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"pith_short_16","alias_value":"DNFYC4ECJNTCF4NX","created_at":"2026-07-05T10:56:15Z"},{"alias_kind":"pith_short_8","alias_value":"DNFYC4EC","created_at":"2026-07-05T10:56:15Z"}],"graph_snapshots":[{"event_id":"sha256:bf5dddeeb0d54e09def094c43405e8afd680a29e30aeb93d88e4dca228326d6d","target":"graph","created_at":"2026-07-05T10:56:15Z","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/2502.02454/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Using extensive training data from SA-1B, the Segment Anything Model (SAM) has demonstrated exceptional generalization and zero-shot capabilities, attracting widespread attention in areas such as medical image segmentation and remote sensing image segmentation. However, its performance in the field of image manipulation detection remains largely unexplored and unconfirmed. There are two main challenges in applying SAM to image manipulation detection: a) reliance on manual prompts, and b) the difficulty of single-view information in supporting cross-dataset generalization. To address these chal","authors_text":"Chun Yuan, Jinwei Fang, Ke Zhang, Quan Zhang, Xi Lin, Xi Tang, Yuxin Qi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T16:20:41Z","title":"IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.02454","kind":"arxiv","version":4},"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:ca523a153e8247513e36a2cd9223bc301558bd620aab6c250837defb93c82138","target":"record","created_at":"2026-07-05T10:56:15Z","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":"1e1304faf2208e4d6bcdaf5d4ce82fa496b3e5f1dbccd27b624f16c464d408e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T16:20:41Z","title_canon_sha256":"497f5813c6e7bea6ccd7844ce650fab5275779244b133fd18ecb8f856b42a0e3"},"schema_version":"1.0","source":{"id":"2502.02454","kind":"arxiv","version":4}},"canonical_sha256":"1b4b8170824b6622f1b7229667315008f0b50ef6ee2bd5e535c3d5015162b5e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b4b8170824b6622f1b7229667315008f0b50ef6ee2bd5e535c3d5015162b5e5","first_computed_at":"2026-07-05T10:56:15.425069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:15.425069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fLRZ4xRlHg55k27++PoPtks1xyBrUc0VhABLLQ9KCgO6MeyV+tEyX+2ApgN33f7eEkygYwra/tqyUGAElyhVCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:15.425574Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.02454","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca523a153e8247513e36a2cd9223bc301558bd620aab6c250837defb93c82138","sha256:bf5dddeeb0d54e09def094c43405e8afd680a29e30aeb93d88e4dca228326d6d"],"state_sha256":"875746b35d427f13c4e59efc47888bbf930afbf65ac24de9a2dca55e9343ae0c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U+MXBew17Ss6XMElytfaXb+/JeSRlJiTQr9GnoU5P83vFYD3Q3+hKCuN0X6hlqCYN65+trN+quzX47/Ygb9GAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:39:37.669583Z","bundle_sha256":"0cf4137a423f752f6a4af744b7865e6e4998386842aa1b8c9a6ac61a96226416"}}