{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZXLPK6IZP5ILSZJIRWTTTOOYDO","merge_version":"pith-open-graph-merge-v1","event_count":6,"valid_event_count":6,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8b16eee866e0737c94e28205ba6b4f3dc3de601802f0690ac9ff75a2410fdfa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T11:44:31Z","title_canon_sha256":"2ee645d04c5792d39ff99cf01885b544ca37894894e29b5b85aad90f96da98c3"},"schema_version":"1.0","source":{"id":"2605.15874","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15874","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15874v1","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15874","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"pith_short_12","alias_value":"ZXLPK6IZP5IL","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"pith_short_16","alias_value":"ZXLPK6IZP5ILSZJI","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"pith_short_8","alias_value":"ZXLPK6IZ","created_at":"2026-05-20T00:01:23Z"}],"graph_snapshots":[{"event_id":"sha256:fdf0e27aa80ef6933226abfeea338315616ef70884c06546a319a284db18e4e8","target":"graph","created_at":"2026-05-20T00:01:23Z","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":"ai_meta_artifact","ran_at":"2026-05-19T17:33:47.532504Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.802521Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15874/integrity.json","findings":[],"snapshot_sha256":"c8642cd8e95a015f80ad37d13694892d740be0c79863cf3c6c7c07e744947491","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial Water Treatment Systems (IWTS) are safety critical cyber-physical infrastructures and due to increased connectivity, these systems are exposed to cyber threats that can manipulate process behaviour without creating obvious devices outliers. In particular, logic-layer deception anomalies can preserve numerically plausible measurements while breaking expected cause-and-effect relationships in the control process. These attacks are difficult to detect using threshold-based monitoring or require heavy server-oriented anomaly detection models. This paper explores the potential of Tiny De","authors_text":"Emil Karlsson, Farzana Zahid, Judy Bowen, Mandar Joshi, Matthew M.Y. Kuo, Valeriy Vyatkin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T11:44:31Z","title":"Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15874","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":"sha256:0736d05fe4876ff04090c2af8f54992dd4a10272495857d45b03598918fd52e7","target":"record","created_at":"2026-05-20T00:01:23Z","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":"8b16eee866e0737c94e28205ba6b4f3dc3de601802f0690ac9ff75a2410fdfa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-15T11:44:31Z","title_canon_sha256":"2ee645d04c5792d39ff99cf01885b544ca37894894e29b5b85aad90f96da98c3"},"schema_version":"1.0","source":{"id":"2605.15874","kind":"arxiv","version":1}},"canonical_sha256":"cdd6f579197f50b965288da739b9d81b9ee32cc60124c34dba3c41af17185a0d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cdd6f579197f50b965288da739b9d81b9ee32cc60124c34dba3c41af17185a0d","first_computed_at":"2026-05-20T00:01:23.132213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:23.132213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Azxms9arDuvrssCcWqoFJv0zNgvZe8s8USro/2rUYFg1PX4rtP2m810GBxChZKlaklls9DUGLSAmIN18lM9DDg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:23.133088Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15874","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:482e7e2dce5a07ec4b998e0aa394144dda93b1f5343cbf62143fff874db43621","sha256:6acf927b9d797cd9b7ab272ccf646b9571a28b28fda67de25f752f087562f9ce","sha256:773cb85d7d39d8c5e2c0a95fdc67ab1f0730d3decd5edb2c437663eabcf5cf5d","sha256:d990c99c6e1c20a2b4cca9cbf9371bc1023f50034dc12e627ba79cc6ef1c0e86"]}],"invalid_events":[],"applied_event_ids":["sha256:0736d05fe4876ff04090c2af8f54992dd4a10272495857d45b03598918fd52e7","sha256:fdf0e27aa80ef6933226abfeea338315616ef70884c06546a319a284db18e4e8"],"state_sha256":"43bc667674166de4c01246e36e33c68d4d48f76c85a59dbd574de9b2f67afbe0"}