{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RC3UR564C7LLGRKS4AL3CNAAFQ","short_pith_number":"pith:RC3UR564","canonical_record":{"source":{"id":"1807.07682","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-20T01:11:14Z","cross_cats_sorted":[],"title_canon_sha256":"a95e548df730f5d1b5cf6b6e40ff1dcbd183e8847d381e2551a6f60343a5c5b7","abstract_canon_sha256":"4c5b88c0e9eb9ef6c571ff76fb274d2dde6f13e1359cdbd8ada1c624bcffae1d"},"schema_version":"1.0"},"canonical_sha256":"88b748f7dc17d6b34552e017b134002c00103f9918cd9525b3c9cecc0c093601","source":{"kind":"arxiv","id":"1807.07682","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.07682","created_at":"2026-05-18T00:10:15Z"},{"alias_kind":"arxiv_version","alias_value":"1807.07682v1","created_at":"2026-05-18T00:10:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.07682","created_at":"2026-05-18T00:10:15Z"},{"alias_kind":"pith_short_12","alias_value":"RC3UR564C7LL","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RC3UR564C7LLGRKS","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RC3UR564","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RC3UR564C7LLGRKS4AL3CNAAFQ","target":"record","payload":{"canonical_record":{"source":{"id":"1807.07682","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-20T01:11:14Z","cross_cats_sorted":[],"title_canon_sha256":"a95e548df730f5d1b5cf6b6e40ff1dcbd183e8847d381e2551a6f60343a5c5b7","abstract_canon_sha256":"4c5b88c0e9eb9ef6c571ff76fb274d2dde6f13e1359cdbd8ada1c624bcffae1d"},"schema_version":"1.0"},"canonical_sha256":"88b748f7dc17d6b34552e017b134002c00103f9918cd9525b3c9cecc0c093601","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:15.919608Z","signature_b64":"c4/dcqM8N1wWx2QXV5IuRutN+tXiAYi+G0yPxDBFL41lWwneEBi3rZae8HB0BIF5QjkaQwZ8vXQ/eE5S+IEBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88b748f7dc17d6b34552e017b134002c00103f9918cd9525b3c9cecc0c093601","last_reissued_at":"2026-05-18T00:10:15.919074Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:15.919074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.07682","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":"2026-05-18T00:10:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yy9c6vvnkIi1F2Cxz0etda3NzdkprrBPUr8o9LMUeOtEhoLAVeDChX2za89ukq88Skf2y2IEwKjqm35xZRS+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:20:19.760298Z"},"content_sha256":"44ce51c379312cca6ab65d22edafaa815dcf0a1fab26f417cc9e1152e9dbaca3","schema_version":"1.0","event_id":"sha256:44ce51c379312cca6ab65d22edafaa815dcf0a1fab26f417cc9e1152e9dbaca3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RC3UR564C7LLGRKS4AL3CNAAFQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cross-Modality Distillation: A case for Conditional Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Benjamin S. Riggan, Hamid Krim, Liyi Dai, Siddharth Roheda","submitted_at":"2018-07-20T01:11:14Z","abstract_excerpt":"In this paper, we propose to use a Conditional Generative Adversarial Network (CGAN) for distilling (i.e. transferring) knowledge from sensor data and enhancing low-resolution target detection. In unconstrained surveillance settings, sensor measurements are often noisy, degraded, corrupted, and even missing/absent, thereby presenting a significant problem for multi-modal fusion. We therefore specifically tackle the problem of a missing modality in our attempt to propose an algorithm based on CGANs to generate representative information from the missing modalities when given some other availabl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.07682","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":""},"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":"2026-05-18T00:10:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZIhSk5JNOOk6WZlASoVg9bWKpc5n9lmoFf1SaVKMbo5M1YkGUBunf8de/Iz8ivXkZXiIIz2o3fs1Qqvv5CyvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:20:19.760930Z"},"content_sha256":"fa786401586e8ea16c6070145738d4ff12c561f3f5e2d70ac358b59f803fe6c9","schema_version":"1.0","event_id":"sha256:fa786401586e8ea16c6070145738d4ff12c561f3f5e2d70ac358b59f803fe6c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RC3UR564C7LLGRKS4AL3CNAAFQ/bundle.json","state_url":"https://pith.science/pith/RC3UR564C7LLGRKS4AL3CNAAFQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RC3UR564C7LLGRKS4AL3CNAAFQ/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":"2026-05-25T19:20:19Z","links":{"resolver":"https://pith.science/pith/RC3UR564C7LLGRKS4AL3CNAAFQ","bundle":"https://pith.science/pith/RC3UR564C7LLGRKS4AL3CNAAFQ/bundle.json","state":"https://pith.science/pith/RC3UR564C7LLGRKS4AL3CNAAFQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RC3UR564C7LLGRKS4AL3CNAAFQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RC3UR564C7LLGRKS4AL3CNAAFQ","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":"4c5b88c0e9eb9ef6c571ff76fb274d2dde6f13e1359cdbd8ada1c624bcffae1d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-20T01:11:14Z","title_canon_sha256":"a95e548df730f5d1b5cf6b6e40ff1dcbd183e8847d381e2551a6f60343a5c5b7"},"schema_version":"1.0","source":{"id":"1807.07682","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.07682","created_at":"2026-05-18T00:10:15Z"},{"alias_kind":"arxiv_version","alias_value":"1807.07682v1","created_at":"2026-05-18T00:10:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.07682","created_at":"2026-05-18T00:10:15Z"},{"alias_kind":"pith_short_12","alias_value":"RC3UR564C7LL","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RC3UR564C7LLGRKS","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RC3UR564","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:fa786401586e8ea16c6070145738d4ff12c561f3f5e2d70ac358b59f803fe6c9","target":"graph","created_at":"2026-05-18T00:10:15Z","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"},"paper":{"abstract_excerpt":"In this paper, we propose to use a Conditional Generative Adversarial Network (CGAN) for distilling (i.e. transferring) knowledge from sensor data and enhancing low-resolution target detection. In unconstrained surveillance settings, sensor measurements are often noisy, degraded, corrupted, and even missing/absent, thereby presenting a significant problem for multi-modal fusion. We therefore specifically tackle the problem of a missing modality in our attempt to propose an algorithm based on CGANs to generate representative information from the missing modalities when given some other availabl","authors_text":"Benjamin S. Riggan, Hamid Krim, Liyi Dai, Siddharth Roheda","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-20T01:11:14Z","title":"Cross-Modality Distillation: A case for Conditional Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.07682","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":"sha256:44ce51c379312cca6ab65d22edafaa815dcf0a1fab26f417cc9e1152e9dbaca3","target":"record","created_at":"2026-05-18T00:10:15Z","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":"4c5b88c0e9eb9ef6c571ff76fb274d2dde6f13e1359cdbd8ada1c624bcffae1d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-20T01:11:14Z","title_canon_sha256":"a95e548df730f5d1b5cf6b6e40ff1dcbd183e8847d381e2551a6f60343a5c5b7"},"schema_version":"1.0","source":{"id":"1807.07682","kind":"arxiv","version":1}},"canonical_sha256":"88b748f7dc17d6b34552e017b134002c00103f9918cd9525b3c9cecc0c093601","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88b748f7dc17d6b34552e017b134002c00103f9918cd9525b3c9cecc0c093601","first_computed_at":"2026-05-18T00:10:15.919074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:15.919074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c4/dcqM8N1wWx2QXV5IuRutN+tXiAYi+G0yPxDBFL41lWwneEBi3rZae8HB0BIF5QjkaQwZ8vXQ/eE5S+IEBCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:15.919608Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.07682","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44ce51c379312cca6ab65d22edafaa815dcf0a1fab26f417cc9e1152e9dbaca3","sha256:fa786401586e8ea16c6070145738d4ff12c561f3f5e2d70ac358b59f803fe6c9"],"state_sha256":"437070b0746a98ac9c48ea0efca6654d2e64943370b4da3f0b2ecc0ca16f94d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+9hRdKEiJsmbOpiCkv0uVCMHABrktsj0jsxwd6XelNkhJDQ0Kmsj97UMBfegK8aCb7HCylI3NMz6Q/nFo2t4Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T19:20:19.764451Z","bundle_sha256":"8a49ca4c1fbca93de82a9181381babc0fe65066aed23f49feb4c45ed5b64e16b"}}