{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MRGU775ATWYD4R6AM6NO6XOF6Q","short_pith_number":"pith:MRGU775A","canonical_record":{"source":{"id":"2606.06918","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T05:32:57Z","cross_cats_sorted":[],"title_canon_sha256":"ac97756d0bcb7fb9f29693f28c29d03e7207b452bd1d3cdc4e352009a062731d","abstract_canon_sha256":"cc2f402dcc6d4e9a75df0fbc5718fa4f860bcc61afe15b29a7a9932081f6c48b"},"schema_version":"1.0"},"canonical_sha256":"644d4fffa09db03e47c0679aef5dc5f42c706c7460c1012d7ac4a355e8b296c9","source":{"kind":"arxiv","id":"2606.06918","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06918","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06918v1","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06918","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"MRGU775ATWYD","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"MRGU775ATWYD4R6A","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"MRGU775A","created_at":"2026-06-08T01:04:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MRGU775ATWYD4R6AM6NO6XOF6Q","target":"record","payload":{"canonical_record":{"source":{"id":"2606.06918","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T05:32:57Z","cross_cats_sorted":[],"title_canon_sha256":"ac97756d0bcb7fb9f29693f28c29d03e7207b452bd1d3cdc4e352009a062731d","abstract_canon_sha256":"cc2f402dcc6d4e9a75df0fbc5718fa4f860bcc61afe15b29a7a9932081f6c48b"},"schema_version":"1.0"},"canonical_sha256":"644d4fffa09db03e47c0679aef5dc5f42c706c7460c1012d7ac4a355e8b296c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:35.891909Z","signature_b64":"iQRqgg4Dy9KgNrBYgFl9twi/s0F1G8ugqhm+KNXuonxsuwKzGEd4742t76cNIWF0rQMe4RdRplRfpeTKECUoAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"644d4fffa09db03e47c0679aef5dc5f42c706c7460c1012d7ac4a355e8b296c9","last_reissued_at":"2026-06-08T01:04:35.891072Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:35.891072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.06918","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":"2026-06-08T01:04:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jWLAmbLrEX34HlUjNlwmKikj5nMeph5HQ8uZOCgIHlNJJKoPOr5tpUV7rzYNAQE6trAIv+IPgX8k7++vP3DFAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T03:50:39.249545Z"},"content_sha256":"564b29d1b2d7f52939856b694e95c31cda901d7bbf95197ba4951e217161c593","schema_version":"1.0","event_id":"sha256:564b29d1b2d7f52939856b694e95c31cda901d7bbf95197ba4951e217161c593"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MRGU775ATWYD4R6AM6NO6XOF6Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhishek Ameta, Akshay Janardan Bankar, Amit Satish Unde, Ankita Chatterjee, Harshit, Sayan Banerjee, Shreyas Pandith","submitted_at":"2026-06-05T05:32:57Z","abstract_excerpt":"The rapid evolution of generative image models challenges existing AI-generated image detectors, particularly in open-world settings with unseen generators. Recent training-free approaches measure robustness gaps in frozen vision foundation models (VFMs), detecting fakes via perturbation-induced embedding drift. However, these methods rely on fixed invariance geometry inherited from pretraining and lack principled adaptation to the detection task. We instead formulate AI-generated image detection as learning a structured invariance manifold of real images under one-class supervision. Building "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06918","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/2606.06918/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":"2026-06-08T01:04:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+5OpOCGRDC7CaTGpji0hc95/N0xapo2PeWDqvf17K4w+gMxXn7y+6+0gJcmF1oJkJm8ih2JGePAX+RVJyK5RCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T03:50:39.249911Z"},"content_sha256":"f2bf48bb38284e3d1d53032c08c77f8b94adbfad053b81b6dc9382229860c8db","schema_version":"1.0","event_id":"sha256:f2bf48bb38284e3d1d53032c08c77f8b94adbfad053b81b6dc9382229860c8db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MRGU775ATWYD4R6AM6NO6XOF6Q/bundle.json","state_url":"https://pith.science/pith/MRGU775ATWYD4R6AM6NO6XOF6Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MRGU775ATWYD4R6AM6NO6XOF6Q/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":"2026-07-03T03:50:39Z","links":{"resolver":"https://pith.science/pith/MRGU775ATWYD4R6AM6NO6XOF6Q","bundle":"https://pith.science/pith/MRGU775ATWYD4R6AM6NO6XOF6Q/bundle.json","state":"https://pith.science/pith/MRGU775ATWYD4R6AM6NO6XOF6Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MRGU775ATWYD4R6AM6NO6XOF6Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MRGU775ATWYD4R6AM6NO6XOF6Q","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":"cc2f402dcc6d4e9a75df0fbc5718fa4f860bcc61afe15b29a7a9932081f6c48b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T05:32:57Z","title_canon_sha256":"ac97756d0bcb7fb9f29693f28c29d03e7207b452bd1d3cdc4e352009a062731d"},"schema_version":"1.0","source":{"id":"2606.06918","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06918","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06918v1","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06918","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"MRGU775ATWYD","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"MRGU775ATWYD4R6A","created_at":"2026-06-08T01:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"MRGU775A","created_at":"2026-06-08T01:04:35Z"}],"graph_snapshots":[{"event_id":"sha256:f2bf48bb38284e3d1d53032c08c77f8b94adbfad053b81b6dc9382229860c8db","target":"graph","created_at":"2026-06-08T01:04:35Z","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/2606.06918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid evolution of generative image models challenges existing AI-generated image detectors, particularly in open-world settings with unseen generators. Recent training-free approaches measure robustness gaps in frozen vision foundation models (VFMs), detecting fakes via perturbation-induced embedding drift. However, these methods rely on fixed invariance geometry inherited from pretraining and lack principled adaptation to the detection task. We instead formulate AI-generated image detection as learning a structured invariance manifold of real images under one-class supervision. Building ","authors_text":"Abhishek Ameta, Akshay Janardan Bankar, Amit Satish Unde, Ankita Chatterjee, Harshit, Sayan Banerjee, Shreyas Pandith","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T05:32:57Z","title":"DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06918","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":"sha256:564b29d1b2d7f52939856b694e95c31cda901d7bbf95197ba4951e217161c593","target":"record","created_at":"2026-06-08T01:04:35Z","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":"cc2f402dcc6d4e9a75df0fbc5718fa4f860bcc61afe15b29a7a9932081f6c48b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T05:32:57Z","title_canon_sha256":"ac97756d0bcb7fb9f29693f28c29d03e7207b452bd1d3cdc4e352009a062731d"},"schema_version":"1.0","source":{"id":"2606.06918","kind":"arxiv","version":1}},"canonical_sha256":"644d4fffa09db03e47c0679aef5dc5f42c706c7460c1012d7ac4a355e8b296c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"644d4fffa09db03e47c0679aef5dc5f42c706c7460c1012d7ac4a355e8b296c9","first_computed_at":"2026-06-08T01:04:35.891072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:35.891072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iQRqgg4Dy9KgNrBYgFl9twi/s0F1G8ugqhm+KNXuonxsuwKzGEd4742t76cNIWF0rQMe4RdRplRfpeTKECUoAQ==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:35.891909Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.06918","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:564b29d1b2d7f52939856b694e95c31cda901d7bbf95197ba4951e217161c593","sha256:f2bf48bb38284e3d1d53032c08c77f8b94adbfad053b81b6dc9382229860c8db"],"state_sha256":"288a848f8d730880ab253cf3bbbb05c41b5347c3113427c97f7e97d301ee030e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oySTCmiwzD3nTJYTixp7JX5E2r1w4lUFQgr2e3Bg9RxmKssSotTO7ZEQV+jIJxTbJSY/rtpiT7LwTPtwNiWWBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T03:50:39.251891Z","bundle_sha256":"5b87562030af820175cfef0fee9cb148a0a0d4e560de4465444fd65d0d1d2ba5"}}