{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MIQ4NXPUUZS6BWP4PYK5NUTS6X","short_pith_number":"pith:MIQ4NXPU","canonical_record":{"source":{"id":"2607.04603","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T02:15:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"360835257c68f798143461e4bb1b82748563e5e420ac7a92818c38636dc547ff","abstract_canon_sha256":"2917619420f8ede29279708a712aaa8dfa0ff8648a508372e408e8e76855e55d"},"schema_version":"1.0"},"canonical_sha256":"6221c6ddf4a665e0d9fc7e15d6d272f5ea9981ac027c950e30f2908a464ab6e4","source":{"kind":"arxiv","id":"2607.04603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04603","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04603v1","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04603","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"pith_short_12","alias_value":"MIQ4NXPUUZS6","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"pith_short_16","alias_value":"MIQ4NXPUUZS6BWP4","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"pith_short_8","alias_value":"MIQ4NXPU","created_at":"2026-07-07T02:19:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MIQ4NXPUUZS6BWP4PYK5NUTS6X","target":"record","payload":{"canonical_record":{"source":{"id":"2607.04603","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T02:15:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"360835257c68f798143461e4bb1b82748563e5e420ac7a92818c38636dc547ff","abstract_canon_sha256":"2917619420f8ede29279708a712aaa8dfa0ff8648a508372e408e8e76855e55d"},"schema_version":"1.0"},"canonical_sha256":"6221c6ddf4a665e0d9fc7e15d6d272f5ea9981ac027c950e30f2908a464ab6e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:19:27.042926Z","signature_b64":"SHrSvM3Hs6inERWxBm3g8RsZeDbZZrKa6XRmnJIt5x/CrUmlByMnNocVJVmRyt3oBAXzL/iBnbGFmEP7YqzZBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6221c6ddf4a665e0d9fc7e15d6d272f5ea9981ac027c950e30f2908a464ab6e4","last_reissued_at":"2026-07-07T02:19:27.042239Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:19:27.042239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.04603","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":"2026-07-07T02:19:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8gvkevVK24zMMMysnWrRkLOJxlmthOOo2ObHGx7wPR2Tq+YVhHGDn8DVKBuRrWQsC9oUMjsMf2i4p+eyxpgJAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:40:02.818573Z"},"content_sha256":"00232583b2f3e51c122c5f648db550639073a5db2323a098e3d61186ae4fd70c","schema_version":"1.0","event_id":"sha256:00232583b2f3e51c122c5f648db550639073a5db2323a098e3d61186ae4fd70c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MIQ4NXPUUZS6BWP4PYK5NUTS6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chang Liu, Fengyi Wu, Huaping Zhang, Lei Li, Tianfang Zhang, Xiangyang Ji, Zhenming Peng","submitted_at":"2026-07-06T02:15:09Z","abstract_excerpt":"Infrared small target detection (IRSTD) aims to identify long distance small targets from complex infrared backgrounds, and is a fundamental task in remote sensing. Deep learning methods have improved IRSTD by learning discriminative image-to-mask mappings, but such feed-forward designs often underuse physical decomposition structure between targets and backgrounds. Deep unfolding methods partially address this issue by embedding model-driven iterations into neural networks, yet existing designs still operate mainly in image domain and use updates and memory mechanisms that are not fully coupl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04603","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/2607.04603/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":"2026-07-07T02:19:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dPkR9F5x5N0tuL3GG8KKpzaXJfRokkwjmilQtWG78BJAwCuPgSa3PoI2qu0trkXNGPcth0N465XHLTWiaXsvDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T19:40:02.819776Z"},"content_sha256":"a9ec48561b832db472808bfde660539f1df2278185475c520a004446f1e8d8fe","schema_version":"1.0","event_id":"sha256:a9ec48561b832db472808bfde660539f1df2278185475c520a004446f1e8d8fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X/bundle.json","state_url":"https://pith.science/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X/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":"2026-08-17T19:40:02Z","links":{"resolver":"https://pith.science/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X","bundle":"https://pith.science/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X/bundle.json","state":"https://pith.science/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MIQ4NXPUUZS6BWP4PYK5NUTS6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MIQ4NXPUUZS6BWP4PYK5NUTS6X","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":"2917619420f8ede29279708a712aaa8dfa0ff8648a508372e408e8e76855e55d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T02:15:09Z","title_canon_sha256":"360835257c68f798143461e4bb1b82748563e5e420ac7a92818c38636dc547ff"},"schema_version":"1.0","source":{"id":"2607.04603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04603","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04603v1","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04603","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"pith_short_12","alias_value":"MIQ4NXPUUZS6","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"pith_short_16","alias_value":"MIQ4NXPUUZS6BWP4","created_at":"2026-07-07T02:19:27Z"},{"alias_kind":"pith_short_8","alias_value":"MIQ4NXPU","created_at":"2026-07-07T02:19:27Z"}],"graph_snapshots":[{"event_id":"sha256:a9ec48561b832db472808bfde660539f1df2278185475c520a004446f1e8d8fe","target":"graph","created_at":"2026-07-07T02:19:27Z","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/2607.04603/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Infrared small target detection (IRSTD) aims to identify long distance small targets from complex infrared backgrounds, and is a fundamental task in remote sensing. Deep learning methods have improved IRSTD by learning discriminative image-to-mask mappings, but such feed-forward designs often underuse physical decomposition structure between targets and backgrounds. Deep unfolding methods partially address this issue by embedding model-driven iterations into neural networks, yet existing designs still operate mainly in image domain and use updates and memory mechanisms that are not fully coupl","authors_text":"Chang Liu, Fengyi Wu, Huaping Zhang, Lei Li, Tianfang Zhang, Xiangyang Ji, Zhenming Peng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T02:15:09Z","title":"LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04603","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":"sha256:00232583b2f3e51c122c5f648db550639073a5db2323a098e3d61186ae4fd70c","target":"record","created_at":"2026-07-07T02:19:27Z","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":"2917619420f8ede29279708a712aaa8dfa0ff8648a508372e408e8e76855e55d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T02:15:09Z","title_canon_sha256":"360835257c68f798143461e4bb1b82748563e5e420ac7a92818c38636dc547ff"},"schema_version":"1.0","source":{"id":"2607.04603","kind":"arxiv","version":1}},"canonical_sha256":"6221c6ddf4a665e0d9fc7e15d6d272f5ea9981ac027c950e30f2908a464ab6e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6221c6ddf4a665e0d9fc7e15d6d272f5ea9981ac027c950e30f2908a464ab6e4","first_computed_at":"2026-07-07T02:19:27.042239Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:19:27.042239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SHrSvM3Hs6inERWxBm3g8RsZeDbZZrKa6XRmnJIt5x/CrUmlByMnNocVJVmRyt3oBAXzL/iBnbGFmEP7YqzZBA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:19:27.042926Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00232583b2f3e51c122c5f648db550639073a5db2323a098e3d61186ae4fd70c","sha256:a9ec48561b832db472808bfde660539f1df2278185475c520a004446f1e8d8fe"],"state_sha256":"359b895d6ad3cc5a301ebf22abbb397986188647a885d13673ead4aae7c826ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hn2+mxLS39VfEreIQM7rtOouJnjJ6IW5A20BjX7B8+/vZdY7bNJeBnGZP6RGbjJreTSNRkSMzkOpEH9z3srVCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T19:40:02.931156Z","bundle_sha256":"2a53136d9cc6714751005250d2b92d850b4e8a38fa4e2b79a072d539298f2648"}}