{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:FMZW2WCTITPNZXGZTD5TFDBFC3","short_pith_number":"pith:FMZW2WCT","canonical_record":{"source":{"id":"1407.3540","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T04:36:31Z","cross_cats_sorted":[],"title_canon_sha256":"52e940128ad6969ea9f367ff68d5fbf8f12544212df6a9556efeb5a782004e4f","abstract_canon_sha256":"833340cd3ac695a72b1606375a2316f51a14d2fc03266a7b39f2ab201108c14e"},"schema_version":"1.0"},"canonical_sha256":"2b336d585344dedcdcd998fb328c2516dcb564eede3549aef7d33e78cca69e3a","source":{"kind":"arxiv","id":"1407.3540","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1407.3540","created_at":"2026-05-18T02:47:42Z"},{"alias_kind":"arxiv_version","alias_value":"1407.3540v1","created_at":"2026-05-18T02:47:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.3540","created_at":"2026-05-18T02:47:42Z"},{"alias_kind":"pith_short_12","alias_value":"FMZW2WCTITPN","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"FMZW2WCTITPNZXGZ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"FMZW2WCT","created_at":"2026-05-18T12:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:FMZW2WCTITPNZXGZTD5TFDBFC3","target":"record","payload":{"canonical_record":{"source":{"id":"1407.3540","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T04:36:31Z","cross_cats_sorted":[],"title_canon_sha256":"52e940128ad6969ea9f367ff68d5fbf8f12544212df6a9556efeb5a782004e4f","abstract_canon_sha256":"833340cd3ac695a72b1606375a2316f51a14d2fc03266a7b39f2ab201108c14e"},"schema_version":"1.0"},"canonical_sha256":"2b336d585344dedcdcd998fb328c2516dcb564eede3549aef7d33e78cca69e3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:47:42.544849Z","signature_b64":"xxx2XQdr6URqsusm0AMtVbHNdgoCP4cS06q56SQh0E/ekrPhF8GoAcsePGn4+tvB2Dnir3GzuFLh4VG8DIIjBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b336d585344dedcdcd998fb328c2516dcb564eede3549aef7d33e78cca69e3a","last_reissued_at":"2026-05-18T02:47:42.544118Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:47:42.544118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1407.3540","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":"2026-05-18T02:47:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vv7fwu6EOEPxh3qqMjsJRbc6aPbRq3QwRuOPhVUR+5sBH+7B0+FkwE01dR5l4jr0wqUEh+Ow3Z/KeM2tuPa3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T05:00:31.188225Z"},"content_sha256":"9acb2c3858b1df2149f9aad1f86784226887a352f3eee3fc868fe3321aa08339","schema_version":"1.0","event_id":"sha256:9acb2c3858b1df2149f9aad1f86784226887a352f3eee3fc868fe3321aa08339"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:FMZW2WCTITPNZXGZTD5TFDBFC3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Measuring Atmospheric Scattering from Digital Images of Urban Scenery using Temporal Polarization-Based Vision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Joshua Gluckman, Tarek El-Gaaly","submitted_at":"2014-07-14T04:36:31Z","abstract_excerpt":"Particulate Matter (PM) is a form of air pollution that visually degrades urban scenery and is hazardous to human health and the environment. Current monitoring devices are limited in measuring average PM over large areas. Quantifying the visual effects of haze in digital images of urban scenery and correlating these effects to PM levels is a vital step in more practically monitoring our environment. Current image haze extraction algorithms remove haze from the scene for the sole purpose of enhancing vision. We present two algorithms which bridge the gap between image haze extraction and envir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.3540","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":"2026-05-18T02:47:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"58HVmusGWKvz0U4WYnC9GlQNjqPZxofyFJdXgaOX8EBsSRr9InW1l/LaVUMBLaQ0qWOU8gO38Ete++Iz8p/jCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T05:00:31.188887Z"},"content_sha256":"65aa0a490337f695c743889e28f411e425d0e3744e0bb4fe75e9bbaced16b09f","schema_version":"1.0","event_id":"sha256:65aa0a490337f695c743889e28f411e425d0e3744e0bb4fe75e9bbaced16b09f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FMZW2WCTITPNZXGZTD5TFDBFC3/bundle.json","state_url":"https://pith.science/pith/FMZW2WCTITPNZXGZTD5TFDBFC3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FMZW2WCTITPNZXGZTD5TFDBFC3/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":"2026-05-30T05:00:31Z","links":{"resolver":"https://pith.science/pith/FMZW2WCTITPNZXGZTD5TFDBFC3","bundle":"https://pith.science/pith/FMZW2WCTITPNZXGZTD5TFDBFC3/bundle.json","state":"https://pith.science/pith/FMZW2WCTITPNZXGZTD5TFDBFC3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FMZW2WCTITPNZXGZTD5TFDBFC3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:FMZW2WCTITPNZXGZTD5TFDBFC3","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":"833340cd3ac695a72b1606375a2316f51a14d2fc03266a7b39f2ab201108c14e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T04:36:31Z","title_canon_sha256":"52e940128ad6969ea9f367ff68d5fbf8f12544212df6a9556efeb5a782004e4f"},"schema_version":"1.0","source":{"id":"1407.3540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1407.3540","created_at":"2026-05-18T02:47:42Z"},{"alias_kind":"arxiv_version","alias_value":"1407.3540v1","created_at":"2026-05-18T02:47:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1407.3540","created_at":"2026-05-18T02:47:42Z"},{"alias_kind":"pith_short_12","alias_value":"FMZW2WCTITPN","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"FMZW2WCTITPNZXGZ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"FMZW2WCT","created_at":"2026-05-18T12:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:65aa0a490337f695c743889e28f411e425d0e3744e0bb4fe75e9bbaced16b09f","target":"graph","created_at":"2026-05-18T02:47:42Z","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":"Particulate Matter (PM) is a form of air pollution that visually degrades urban scenery and is hazardous to human health and the environment. Current monitoring devices are limited in measuring average PM over large areas. Quantifying the visual effects of haze in digital images of urban scenery and correlating these effects to PM levels is a vital step in more practically monitoring our environment. Current image haze extraction algorithms remove haze from the scene for the sole purpose of enhancing vision. We present two algorithms which bridge the gap between image haze extraction and envir","authors_text":"Joshua Gluckman, Tarek El-Gaaly","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T04:36:31Z","title":"Measuring Atmospheric Scattering from Digital Images of Urban Scenery using Temporal Polarization-Based Vision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1407.3540","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":"sha256:9acb2c3858b1df2149f9aad1f86784226887a352f3eee3fc868fe3321aa08339","target":"record","created_at":"2026-05-18T02:47:42Z","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":"833340cd3ac695a72b1606375a2316f51a14d2fc03266a7b39f2ab201108c14e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-07-14T04:36:31Z","title_canon_sha256":"52e940128ad6969ea9f367ff68d5fbf8f12544212df6a9556efeb5a782004e4f"},"schema_version":"1.0","source":{"id":"1407.3540","kind":"arxiv","version":1}},"canonical_sha256":"2b336d585344dedcdcd998fb328c2516dcb564eede3549aef7d33e78cca69e3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b336d585344dedcdcd998fb328c2516dcb564eede3549aef7d33e78cca69e3a","first_computed_at":"2026-05-18T02:47:42.544118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:47:42.544118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xxx2XQdr6URqsusm0AMtVbHNdgoCP4cS06q56SQh0E/ekrPhF8GoAcsePGn4+tvB2Dnir3GzuFLh4VG8DIIjBg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:47:42.544849Z","signed_message":"canonical_sha256_bytes"},"source_id":"1407.3540","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9acb2c3858b1df2149f9aad1f86784226887a352f3eee3fc868fe3321aa08339","sha256:65aa0a490337f695c743889e28f411e425d0e3744e0bb4fe75e9bbaced16b09f"],"state_sha256":"66e36450a023843f284433ecfb70649622c89f4043b445e35df82ab05ef747fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SyBxbxSNrdk370cDeEX7isRKMHMsJxPXQyZpm9SYmAL0frg6+kATnK+qW+qPkLLbLX5YK1Xwq57CJZHz68NyCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T05:00:31.196237Z","bundle_sha256":"0feb5580a9009e2eb8e45656cf4461e7a184259e7a1a874dcf8a027f365c18e1"}}