{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:KJCKP6QDCSLYXMGXH6IJP2IYZF","short_pith_number":"pith:KJCKP6QD","canonical_record":{"source":{"id":"1904.09059","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T03:20:52Z","cross_cats_sorted":[],"title_canon_sha256":"83dd15e3b0cee388eefe4f32fa7941de4bba397c13702c078b7fc3b758f9e862","abstract_canon_sha256":"6da134e2bd76e9bd19b9ba8c9e1bfbe062839738ef96939c50dca4f6e9c00eac"},"schema_version":"1.0"},"canonical_sha256":"5244a7fa0314978bb0d73f9097e918c9524ab728b6542b6a5fb9812b2cacf828","source":{"kind":"arxiv","id":"1904.09059","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09059","created_at":"2026-05-17T23:47:06Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09059v2","created_at":"2026-05-17T23:47:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09059","created_at":"2026-05-17T23:47:06Z"},{"alias_kind":"pith_short_12","alias_value":"KJCKP6QDCSLY","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KJCKP6QDCSLYXMGX","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KJCKP6QD","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:KJCKP6QDCSLYXMGXH6IJP2IYZF","target":"record","payload":{"canonical_record":{"source":{"id":"1904.09059","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T03:20:52Z","cross_cats_sorted":[],"title_canon_sha256":"83dd15e3b0cee388eefe4f32fa7941de4bba397c13702c078b7fc3b758f9e862","abstract_canon_sha256":"6da134e2bd76e9bd19b9ba8c9e1bfbe062839738ef96939c50dca4f6e9c00eac"},"schema_version":"1.0"},"canonical_sha256":"5244a7fa0314978bb0d73f9097e918c9524ab728b6542b6a5fb9812b2cacf828","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:06.997886Z","signature_b64":"3Op873m0CfDdFHEAUxI1lp1mlQ2bKpepK4U8PEuh+3RKzY2sSaocYsRFZGY6l0YKjMV4g0wHn7DzhaAjqRQQCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5244a7fa0314978bb0d73f9097e918c9524ab728b6542b6a5fb9812b2cacf828","last_reissued_at":"2026-05-17T23:47:06.997333Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:06.997333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.09059","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kKjnRfMgowKBOFXfgP1TGKKBcYhObRDHKhNVIm1TLfzRnfgco0vKlnNm1I3atu+TtfEki7V8xlrZ8q+6A9maBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T13:05:36.759786Z"},"content_sha256":"7a94ed4536e8c6c9aa2db1fb3b2a3da1d09008fde253c463d8d0ed69f2eca0e2","schema_version":"1.0","event_id":"sha256:7a94ed4536e8c6c9aa2db1fb3b2a3da1d09008fde253c463d8d0ed69f2eca0e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:KJCKP6QDCSLYXMGXH6IJP2IYZF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Feature Forwarding for Efficient Single Image Dehazing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Peter Morales, Seung Jae Lee, Tzofi Klinghoffer","submitted_at":"2019-04-19T03:20:52Z","abstract_excerpt":"Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems. In this paper, we propose an efficient fully convolutional neural network (CNN) image dehazing method designed to run on edge graphical processing units (GPUs). We utilize three variants of our architecture to explore the dependency of dehazed image quality on parameter count and model design. The first two variants presented, a small and big version, make use of a single efficient encoder-decoder convolutional feature extractor. The final variant utilizes a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09059","kind":"arxiv","version":2},"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":"2026-05-17T23:47:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q6qyOax0McYVXfnCHE74M269eezWYjMGdc9Y2Tt1tOeSZ9MRrTP+CaGfpaWmV14EwbOtZVHEg4URd3wygrjfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T13:05:36.760132Z"},"content_sha256":"20cb9c0fd3a5c1897f0479394c9c8df05a3bd47b8c6bc511007a3aa1c34dac3a","schema_version":"1.0","event_id":"sha256:20cb9c0fd3a5c1897f0479394c9c8df05a3bd47b8c6bc511007a3aa1c34dac3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF/bundle.json","state_url":"https://pith.science/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF/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":"2026-06-28T13:05:36Z","links":{"resolver":"https://pith.science/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF","bundle":"https://pith.science/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF/bundle.json","state":"https://pith.science/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KJCKP6QDCSLYXMGXH6IJP2IYZF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KJCKP6QDCSLYXMGXH6IJP2IYZF","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":"6da134e2bd76e9bd19b9ba8c9e1bfbe062839738ef96939c50dca4f6e9c00eac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T03:20:52Z","title_canon_sha256":"83dd15e3b0cee388eefe4f32fa7941de4bba397c13702c078b7fc3b758f9e862"},"schema_version":"1.0","source":{"id":"1904.09059","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09059","created_at":"2026-05-17T23:47:06Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09059v2","created_at":"2026-05-17T23:47:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09059","created_at":"2026-05-17T23:47:06Z"},{"alias_kind":"pith_short_12","alias_value":"KJCKP6QDCSLY","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KJCKP6QDCSLYXMGX","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KJCKP6QD","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:20cb9c0fd3a5c1897f0479394c9c8df05a3bd47b8c6bc511007a3aa1c34dac3a","target":"graph","created_at":"2026-05-17T23:47:06Z","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":"Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems. In this paper, we propose an efficient fully convolutional neural network (CNN) image dehazing method designed to run on edge graphical processing units (GPUs). We utilize three variants of our architecture to explore the dependency of dehazed image quality on parameter count and model design. The first two variants presented, a small and big version, make use of a single efficient encoder-decoder convolutional feature extractor. The final variant utilizes a ","authors_text":"Peter Morales, Seung Jae Lee, Tzofi Klinghoffer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T03:20:52Z","title":"Feature Forwarding for Efficient Single Image Dehazing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09059","kind":"arxiv","version":2},"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":"sha256:7a94ed4536e8c6c9aa2db1fb3b2a3da1d09008fde253c463d8d0ed69f2eca0e2","target":"record","created_at":"2026-05-17T23:47:06Z","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":"6da134e2bd76e9bd19b9ba8c9e1bfbe062839738ef96939c50dca4f6e9c00eac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-19T03:20:52Z","title_canon_sha256":"83dd15e3b0cee388eefe4f32fa7941de4bba397c13702c078b7fc3b758f9e862"},"schema_version":"1.0","source":{"id":"1904.09059","kind":"arxiv","version":2}},"canonical_sha256":"5244a7fa0314978bb0d73f9097e918c9524ab728b6542b6a5fb9812b2cacf828","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5244a7fa0314978bb0d73f9097e918c9524ab728b6542b6a5fb9812b2cacf828","first_computed_at":"2026-05-17T23:47:06.997333Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:06.997333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Op873m0CfDdFHEAUxI1lp1mlQ2bKpepK4U8PEuh+3RKzY2sSaocYsRFZGY6l0YKjMV4g0wHn7DzhaAjqRQQCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:06.997886Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09059","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a94ed4536e8c6c9aa2db1fb3b2a3da1d09008fde253c463d8d0ed69f2eca0e2","sha256:20cb9c0fd3a5c1897f0479394c9c8df05a3bd47b8c6bc511007a3aa1c34dac3a"],"state_sha256":"edd1b93454e8c4dcdb8655f849a474d2a0dbecd5c361e13a631fd8402793cf86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+wDzFrZgkvSt7iM9XzgPLpaQFTQ8nz/skY1V7jB0VGfao7J8ivR+cm2EfB/z2OSbXmhN7n9B63PwpvFIxGKJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T13:05:36.762032Z","bundle_sha256":"da821ec3d3d9dc398868cf876ef94351037842df8df1033d21de7f681fc56069"}}