{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4WINOE5OFVHNTF4465AURNKVTH","short_pith_number":"pith:4WINOE5O","canonical_record":{"source":{"id":"2605.30062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:13:31Z","cross_cats_sorted":[],"title_canon_sha256":"3ba5ccfa5c39065cd7f6785fafaa56f97acc17461581824450aa85bb0a066036","abstract_canon_sha256":"a5d35456c1017fba19a1fd9ae739628a890f1eadbfa328345c932ab8ba0eb0b1"},"schema_version":"1.0"},"canonical_sha256":"e590d713ae2d4ed9979cf74148b55599db2df3132bccd4430f75b1ceb6b15b96","source":{"kind":"arxiv","id":"2605.30062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30062","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30062v1","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30062","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_12","alias_value":"4WINOE5OFVHN","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_16","alias_value":"4WINOE5OFVHNTF44","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_8","alias_value":"4WINOE5O","created_at":"2026-05-29T02:06:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4WINOE5OFVHNTF4465AURNKVTH","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:13:31Z","cross_cats_sorted":[],"title_canon_sha256":"3ba5ccfa5c39065cd7f6785fafaa56f97acc17461581824450aa85bb0a066036","abstract_canon_sha256":"a5d35456c1017fba19a1fd9ae739628a890f1eadbfa328345c932ab8ba0eb0b1"},"schema_version":"1.0"},"canonical_sha256":"e590d713ae2d4ed9979cf74148b55599db2df3132bccd4430f75b1ceb6b15b96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:06:08.917885Z","signature_b64":"t/vY3wic5MSvDQfWM9c6LiOFZ027b9K5WTg68h0YgLu6JRmKORlXHjKFQg1pYBcK6C9tU3k/4uMXaZvdhJTxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e590d713ae2d4ed9979cf74148b55599db2df3132bccd4430f75b1ceb6b15b96","last_reissued_at":"2026-05-29T02:06:08.917471Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:06:08.917471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30062","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":"2026-05-29T02:06:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6OPyWgk2RogOwOl2o77r6erzJIGcNKN5pDOjO01A9r6k/xRvdAcI3IxvEgr6NvyWcTPixw/HjmHVWDoLbkiBCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:10:59.322326Z"},"content_sha256":"506392ce4a2d98007f65da4b9e74862c08330a919e3ce4406b7a61d04ff9953a","schema_version":"1.0","event_id":"sha256:506392ce4a2d98007f65da4b9e74862c08330a919e3ce4406b7a61d04ff9953a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4WINOE5OFVHNTF4465AURNKVTH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Conghui He, Junyan Ye, Kaiqing Lin, Leqi Zhu, Weijia Li, Zhiyuan Yan","submitted_at":"2026-05-28T15:13:31Z","abstract_excerpt":"The development of generative artificial intelligence technologies has propelled the visual realism of synthetic images to an unprecedented level. Although current interpretable detection methods based on Large Multimodal Models (LMMs) have made certain progress, they still rely on imitation learning derived from massive volumes of forged data. Consequently, they lack genuine causal reasoning capabilities and are prone to explanatory hallucinations. To overcome this bottleneck, we propose FakeVLM-R1, aiming to endow the model with human-like critical thinking capabilities when performing synth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30062","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/2605.30062/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":"2026-05-29T02:06:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8CdD+k85U3lPLR6ETQr7x/7PTvf+IF2kmUL9rBBvmm4BA3l4ysc59Wj0veHghd7owiCQZBNcPYsZxXC41NNrCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:10:59.322717Z"},"content_sha256":"80a86fc1cb0bbaf1243a049a76c4149dcda48bf58200f0e530a5b2fe19ab23a8","schema_version":"1.0","event_id":"sha256:80a86fc1cb0bbaf1243a049a76c4149dcda48bf58200f0e530a5b2fe19ab23a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4WINOE5OFVHNTF4465AURNKVTH/bundle.json","state_url":"https://pith.science/pith/4WINOE5OFVHNTF4465AURNKVTH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4WINOE5OFVHNTF4465AURNKVTH/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":"2026-05-30T13:10:59Z","links":{"resolver":"https://pith.science/pith/4WINOE5OFVHNTF4465AURNKVTH","bundle":"https://pith.science/pith/4WINOE5OFVHNTF4465AURNKVTH/bundle.json","state":"https://pith.science/pith/4WINOE5OFVHNTF4465AURNKVTH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4WINOE5OFVHNTF4465AURNKVTH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4WINOE5OFVHNTF4465AURNKVTH","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":"a5d35456c1017fba19a1fd9ae739628a890f1eadbfa328345c932ab8ba0eb0b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:13:31Z","title_canon_sha256":"3ba5ccfa5c39065cd7f6785fafaa56f97acc17461581824450aa85bb0a066036"},"schema_version":"1.0","source":{"id":"2605.30062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30062","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30062v1","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30062","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_12","alias_value":"4WINOE5OFVHN","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_16","alias_value":"4WINOE5OFVHNTF44","created_at":"2026-05-29T02:06:08Z"},{"alias_kind":"pith_short_8","alias_value":"4WINOE5O","created_at":"2026-05-29T02:06:08Z"}],"graph_snapshots":[{"event_id":"sha256:80a86fc1cb0bbaf1243a049a76c4149dcda48bf58200f0e530a5b2fe19ab23a8","target":"graph","created_at":"2026-05-29T02:06:08Z","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/2605.30062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The development of generative artificial intelligence technologies has propelled the visual realism of synthetic images to an unprecedented level. Although current interpretable detection methods based on Large Multimodal Models (LMMs) have made certain progress, they still rely on imitation learning derived from massive volumes of forged data. Consequently, they lack genuine causal reasoning capabilities and are prone to explanatory hallucinations. To overcome this bottleneck, we propose FakeVLM-R1, aiming to endow the model with human-like critical thinking capabilities when performing synth","authors_text":"Conghui He, Junyan Ye, Kaiqing Lin, Leqi Zhu, Weijia Li, Zhiyuan Yan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:13:31Z","title":"FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30062","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":"sha256:506392ce4a2d98007f65da4b9e74862c08330a919e3ce4406b7a61d04ff9953a","target":"record","created_at":"2026-05-29T02:06:08Z","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":"a5d35456c1017fba19a1fd9ae739628a890f1eadbfa328345c932ab8ba0eb0b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-28T15:13:31Z","title_canon_sha256":"3ba5ccfa5c39065cd7f6785fafaa56f97acc17461581824450aa85bb0a066036"},"schema_version":"1.0","source":{"id":"2605.30062","kind":"arxiv","version":1}},"canonical_sha256":"e590d713ae2d4ed9979cf74148b55599db2df3132bccd4430f75b1ceb6b15b96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e590d713ae2d4ed9979cf74148b55599db2df3132bccd4430f75b1ceb6b15b96","first_computed_at":"2026-05-29T02:06:08.917471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:06:08.917471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t/vY3wic5MSvDQfWM9c6LiOFZ027b9K5WTg68h0YgLu6JRmKORlXHjKFQg1pYBcK6C9tU3k/4uMXaZvdhJTxAA==","signature_status":"signed_v1","signed_at":"2026-05-29T02:06:08.917885Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:506392ce4a2d98007f65da4b9e74862c08330a919e3ce4406b7a61d04ff9953a","sha256:80a86fc1cb0bbaf1243a049a76c4149dcda48bf58200f0e530a5b2fe19ab23a8"],"state_sha256":"e680f6945569be7a830e24081f5e58833f7b861102c46bc6952184c2fe29946e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QueC5iWfgBi0ZhNe6b38kYVzmfFlG+/j8k/vWDYekLTpBFtVACa/M1j5J1/hp1HEANfqmg2qNe7+cjVcfqQEAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T13:10:59.326709Z","bundle_sha256":"c46d9abafcd99af99454f9a75e463319758fbf69751f81181d54b59a2df8afc4"}}