{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:43ZORFCPDWFBIV6OZF4TSA3COQ","short_pith_number":"pith:43ZORFCP","canonical_record":{"source":{"id":"2008.10710","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-08-24T21:14:13Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"375cd2cff3f648d42b0af6e7c1f256205b8219e5a0029c5924c96600e322b916","abstract_canon_sha256":"3bf4a0180d687adf1670448e11e20e15518eadd3814d022968103b27981dba50"},"schema_version":"1.0"},"canonical_sha256":"e6f2e8944f1d8a1457cec9793903627422124a3808b890665f026d2aaab7ec0f","source":{"kind":"arxiv","id":"2008.10710","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10710","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10710v2","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10710","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"43ZORFCPDWFB","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"pith_short_16","alias_value":"43ZORFCPDWFBIV6O","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"pith_short_8","alias_value":"43ZORFCP","created_at":"2026-07-05T02:17:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:43ZORFCPDWFBIV6OZF4TSA3COQ","target":"record","payload":{"canonical_record":{"source":{"id":"2008.10710","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-08-24T21:14:13Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"375cd2cff3f648d42b0af6e7c1f256205b8219e5a0029c5924c96600e322b916","abstract_canon_sha256":"3bf4a0180d687adf1670448e11e20e15518eadd3814d022968103b27981dba50"},"schema_version":"1.0"},"canonical_sha256":"e6f2e8944f1d8a1457cec9793903627422124a3808b890665f026d2aaab7ec0f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:17:31.712189Z","signature_b64":"6vERSjADxhfWOaSvKUVLz+bI9tjqDcyIWXy1IXbeoRdxcilcy4ejmI33LOs8NZ4ug4gpR6BFLWBhP8F8yjS2DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6f2e8944f1d8a1457cec9793903627422124a3808b890665f026d2aaab7ec0f","last_reissued_at":"2026-07-05T02:17:31.711718Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:17:31.711718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.10710","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":"2026-07-05T02:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vgu5vjMIuZaAcus3CNdOq81UU0bPsyvHhOFfJl9a6sJHvcdr2oGW8gMExkzXSXH+Cz943ihygvOyEZ+4mF69AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T08:35:46.551903Z"},"content_sha256":"2e1b8dd7714a64f06286afa92988644c143d6395ee54b680a9993cdde7463191","schema_version":"1.0","event_id":"sha256:2e1b8dd7714a64f06286afa92988644c143d6395ee54b680a9993cdde7463191"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:43ZORFCPDWFBIV6OZF4TSA3COQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jun Chen, Kangdi Shi, Xiaohong Liu, Zhe Wang","submitted_at":"2020-08-24T21:14:13Z","abstract_excerpt":"To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of the camera system as inputs. Such methods are 1) inherently suboptimal due to information loss incurred by non-invertible operations in ISP, and 2) inconsistent with the real imaging pipeline where VSR in fact serves as a pre-processing unit of ISP. To address this issue, we propose a new VSR method that can directly exploit camera sensor data, accompanied by a carefully built Raw Video Dataset (RawVD) for training, v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10710","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.10710/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":"2026-07-05T02:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Fle8CoJ4RUvwfV64m0tV8LNjfgybl86b5YwXgN2D2qUhj5G4lo1Bfmpno//VxcVk/IEUImhuVldko+T5BKPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T08:35:46.552288Z"},"content_sha256":"6ac7904db176f8ed10d0a390e6317fd97f7ab4c1ab91f366a8809ba4d7170f2e","schema_version":"1.0","event_id":"sha256:6ac7904db176f8ed10d0a390e6317fd97f7ab4c1ab91f366a8809ba4d7170f2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/43ZORFCPDWFBIV6OZF4TSA3COQ/bundle.json","state_url":"https://pith.science/pith/43ZORFCPDWFBIV6OZF4TSA3COQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/43ZORFCPDWFBIV6OZF4TSA3COQ/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":"2026-08-22T08:35:46Z","links":{"resolver":"https://pith.science/pith/43ZORFCPDWFBIV6OZF4TSA3COQ","bundle":"https://pith.science/pith/43ZORFCPDWFBIV6OZF4TSA3COQ/bundle.json","state":"https://pith.science/pith/43ZORFCPDWFBIV6OZF4TSA3COQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/43ZORFCPDWFBIV6OZF4TSA3COQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:43ZORFCPDWFBIV6OZF4TSA3COQ","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":"3bf4a0180d687adf1670448e11e20e15518eadd3814d022968103b27981dba50","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-08-24T21:14:13Z","title_canon_sha256":"375cd2cff3f648d42b0af6e7c1f256205b8219e5a0029c5924c96600e322b916"},"schema_version":"1.0","source":{"id":"2008.10710","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10710","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10710v2","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10710","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"43ZORFCPDWFB","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"pith_short_16","alias_value":"43ZORFCPDWFBIV6O","created_at":"2026-07-05T02:17:31Z"},{"alias_kind":"pith_short_8","alias_value":"43ZORFCP","created_at":"2026-07-05T02:17:31Z"}],"graph_snapshots":[{"event_id":"sha256:6ac7904db176f8ed10d0a390e6317fd97f7ab4c1ab91f366a8809ba4d7170f2e","target":"graph","created_at":"2026-07-05T02:17:31Z","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/2008.10710/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of the camera system as inputs. Such methods are 1) inherently suboptimal due to information loss incurred by non-invertible operations in ISP, and 2) inconsistent with the real imaging pipeline where VSR in fact serves as a pre-processing unit of ISP. To address this issue, we propose a new VSR method that can directly exploit camera sensor data, accompanied by a carefully built Raw Video Dataset (RawVD) for training, v","authors_text":"Jun Chen, Kangdi Shi, Xiaohong Liu, Zhe Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-08-24T21:14:13Z","title":"Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10710","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":"sha256:2e1b8dd7714a64f06286afa92988644c143d6395ee54b680a9993cdde7463191","target":"record","created_at":"2026-07-05T02:17:31Z","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":"3bf4a0180d687adf1670448e11e20e15518eadd3814d022968103b27981dba50","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-08-24T21:14:13Z","title_canon_sha256":"375cd2cff3f648d42b0af6e7c1f256205b8219e5a0029c5924c96600e322b916"},"schema_version":"1.0","source":{"id":"2008.10710","kind":"arxiv","version":2}},"canonical_sha256":"e6f2e8944f1d8a1457cec9793903627422124a3808b890665f026d2aaab7ec0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6f2e8944f1d8a1457cec9793903627422124a3808b890665f026d2aaab7ec0f","first_computed_at":"2026-07-05T02:17:31.711718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:17:31.711718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6vERSjADxhfWOaSvKUVLz+bI9tjqDcyIWXy1IXbeoRdxcilcy4ejmI33LOs8NZ4ug4gpR6BFLWBhP8F8yjS2DA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:17:31.712189Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.10710","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e1b8dd7714a64f06286afa92988644c143d6395ee54b680a9993cdde7463191","sha256:6ac7904db176f8ed10d0a390e6317fd97f7ab4c1ab91f366a8809ba4d7170f2e"],"state_sha256":"8874a2f3374c861eb0baf3cb03daad674535567ce4fdf5e7487bbb8a15edbf12"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TJ6rWGLZxd1oEzBXbjN5GkmK+UJGbUgeZuDNcZi7yJD8ELf6UQBK7z4awTYEoeXj+LNO9hHeDkM9DTvyXBFJAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T08:35:46.555419Z","bundle_sha256":"7ad9f0c3dfb27638a2fadef2f736000fe4eba4cda9fd01c1ce42b06740622257"}}