{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:Z36EZBRAKCNZMRFUJUP2M4TYTJ","short_pith_number":"pith:Z36EZBRA","canonical_record":{"source":{"id":"2012.08573","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-15T19:33:09Z","cross_cats_sorted":[],"title_canon_sha256":"b6c7f2759060a3898253460f0d73f03726557309d72e201c3329bad4d68181e5","abstract_canon_sha256":"42e28f22ddc6d4053de46d840a549bb4adbc0773fc6b85115caf29caeb866616"},"schema_version":"1.0"},"canonical_sha256":"cefc4c8620509b9644b44d1fa672789a596205f7c741ac564a90bd4632c31836","source":{"kind":"arxiv","id":"2012.08573","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.08573","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"arxiv_version","alias_value":"2012.08573v1","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.08573","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"pith_short_12","alias_value":"Z36EZBRAKCNZ","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"Z36EZBRAKCNZMRFU","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"Z36EZBRA","created_at":"2026-07-05T03:30:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:Z36EZBRAKCNZMRFUJUP2M4TYTJ","target":"record","payload":{"canonical_record":{"source":{"id":"2012.08573","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-15T19:33:09Z","cross_cats_sorted":[],"title_canon_sha256":"b6c7f2759060a3898253460f0d73f03726557309d72e201c3329bad4d68181e5","abstract_canon_sha256":"42e28f22ddc6d4053de46d840a549bb4adbc0773fc6b85115caf29caeb866616"},"schema_version":"1.0"},"canonical_sha256":"cefc4c8620509b9644b44d1fa672789a596205f7c741ac564a90bd4632c31836","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:30:29.862052Z","signature_b64":"N3XsvdfACzlqhW5Al4xl08zIVDpinPQihTrtlHKufAj1avs4lnOddjpqJT6ALaG83OFZbCbAIXLfO9oSIzxnAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cefc4c8620509b9644b44d1fa672789a596205f7c741ac564a90bd4632c31836","last_reissued_at":"2026-07-05T03:30:29.861556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:30:29.861556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.08573","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":"2026-07-05T03:30:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jfs9PKKqbsMDMby9SsqS4k3dFHqGe/zx/t2nlMtR4WFhIhxTRn7GRhi8gLRgJ6fa/47GVpk8ey0bN84Vvqn6AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:56:41.130288Z"},"content_sha256":"536d8f28a136c6995b245eddf6e7e63967759d187a1841f72500c0e9a36ee889","schema_version":"1.0","event_id":"sha256:536d8f28a136c6995b245eddf6e7e63967759d187a1841f72500c0e9a36ee889"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:Z36EZBRAKCNZMRFUJUP2M4TYTJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attentional Local Contrast Networks for Infrared Small Target Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Zhou, Kobus Barnard, Yimian Dai, Yiquan Wu","submitted_at":"2020-12-15T19:33:09Z","abstract_excerpt":"To mitigate the issue of minimal intrinsic features for pure data-driven methods, in this paper, we propose a novel model-driven deep network for infrared small target detection, which combines discriminative networks and conventional model-driven methods to make use of both labeled data and the domain knowledge. By designing a feature map cyclic shift scheme, we modularize a conventional local contrast measure method as a depth-wise parameterless nonlinear feature refinement layer in an end-to-end network, which encodes relatively long-range contextual interactions with clear physical interpr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08573","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/2012.08573/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":"2026-07-05T03:30:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HzQmFL4zPlRazaIXUgdgApnx/IiuO3r7z26MUvwsHBcJpCNJWuFXcebQvWqZf+NAWKDTtEFYeJxV8KMj6JDGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:56:41.131250Z"},"content_sha256":"85354680ebf0a7df00c90f5ee74cd4e518e28f3a033adbfcf0abc2d45351e8d4","schema_version":"1.0","event_id":"sha256:85354680ebf0a7df00c90f5ee74cd4e518e28f3a033adbfcf0abc2d45351e8d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ/bundle.json","state_url":"https://pith.science/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ/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":"2026-08-14T06:56:41Z","links":{"resolver":"https://pith.science/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ","bundle":"https://pith.science/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ/bundle.json","state":"https://pith.science/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z36EZBRAKCNZMRFUJUP2M4TYTJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Z36EZBRAKCNZMRFUJUP2M4TYTJ","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":"42e28f22ddc6d4053de46d840a549bb4adbc0773fc6b85115caf29caeb866616","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-15T19:33:09Z","title_canon_sha256":"b6c7f2759060a3898253460f0d73f03726557309d72e201c3329bad4d68181e5"},"schema_version":"1.0","source":{"id":"2012.08573","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.08573","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"arxiv_version","alias_value":"2012.08573v1","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.08573","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"pith_short_12","alias_value":"Z36EZBRAKCNZ","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"Z36EZBRAKCNZMRFU","created_at":"2026-07-05T03:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"Z36EZBRA","created_at":"2026-07-05T03:30:29Z"}],"graph_snapshots":[{"event_id":"sha256:85354680ebf0a7df00c90f5ee74cd4e518e28f3a033adbfcf0abc2d45351e8d4","target":"graph","created_at":"2026-07-05T03:30:29Z","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/2012.08573/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To mitigate the issue of minimal intrinsic features for pure data-driven methods, in this paper, we propose a novel model-driven deep network for infrared small target detection, which combines discriminative networks and conventional model-driven methods to make use of both labeled data and the domain knowledge. By designing a feature map cyclic shift scheme, we modularize a conventional local contrast measure method as a depth-wise parameterless nonlinear feature refinement layer in an end-to-end network, which encodes relatively long-range contextual interactions with clear physical interpr","authors_text":"Fei Zhou, Kobus Barnard, Yimian Dai, Yiquan Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-15T19:33:09Z","title":"Attentional Local Contrast Networks for Infrared Small Target Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08573","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":"sha256:536d8f28a136c6995b245eddf6e7e63967759d187a1841f72500c0e9a36ee889","target":"record","created_at":"2026-07-05T03:30:29Z","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":"42e28f22ddc6d4053de46d840a549bb4adbc0773fc6b85115caf29caeb866616","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-15T19:33:09Z","title_canon_sha256":"b6c7f2759060a3898253460f0d73f03726557309d72e201c3329bad4d68181e5"},"schema_version":"1.0","source":{"id":"2012.08573","kind":"arxiv","version":1}},"canonical_sha256":"cefc4c8620509b9644b44d1fa672789a596205f7c741ac564a90bd4632c31836","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cefc4c8620509b9644b44d1fa672789a596205f7c741ac564a90bd4632c31836","first_computed_at":"2026-07-05T03:30:29.861556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:30:29.861556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N3XsvdfACzlqhW5Al4xl08zIVDpinPQihTrtlHKufAj1avs4lnOddjpqJT6ALaG83OFZbCbAIXLfO9oSIzxnAg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:30:29.862052Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.08573","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:536d8f28a136c6995b245eddf6e7e63967759d187a1841f72500c0e9a36ee889","sha256:85354680ebf0a7df00c90f5ee74cd4e518e28f3a033adbfcf0abc2d45351e8d4"],"state_sha256":"585df1e77727865c35c9fa6079201ced81f0866d4e0357f417e216dd0d9dd462"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PlMmfSyHZsjLlg0TC1VA60g6voECHW4ZOTLxUGyxOa/LDZq+MexGXBj0VkTq4kjHWGIoAAKuFTDCRMmUnyV7CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T06:56:41.205991Z","bundle_sha256":"35cf851221d4c661872b0b733ed46c56296c11f648087ecf36f832a354005478"}}