{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:FFXD2GD5J7RAPJAVC3IGGBFUP2","short_pith_number":"pith:FFXD2GD5","canonical_record":{"source":{"id":"1611.01715","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-11-06T01:34:47Z","cross_cats_sorted":[],"title_canon_sha256":"6933c987067ff94267499073831b353703c030c6038fbdebea6efe19d96b108d","abstract_canon_sha256":"8211db7af64bd31bacac4a02546a4c331c35deba27234a061b16a134910cd211"},"schema_version":"1.0"},"canonical_sha256":"296e3d187d4fe207a41516d06304b47e8c65fcc52c7079a968c4b669bfac9eaa","source":{"kind":"arxiv","id":"1611.01715","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.01715","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"arxiv_version","alias_value":"1611.01715v3","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.01715","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"pith_short_12","alias_value":"FFXD2GD5J7RA","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"FFXD2GD5J7RAPJAV","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"FFXD2GD5","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:FFXD2GD5J7RAPJAVC3IGGBFUP2","target":"record","payload":{"canonical_record":{"source":{"id":"1611.01715","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-11-06T01:34:47Z","cross_cats_sorted":[],"title_canon_sha256":"6933c987067ff94267499073831b353703c030c6038fbdebea6efe19d96b108d","abstract_canon_sha256":"8211db7af64bd31bacac4a02546a4c331c35deba27234a061b16a134910cd211"},"schema_version":"1.0"},"canonical_sha256":"296e3d187d4fe207a41516d06304b47e8c65fcc52c7079a968c4b669bfac9eaa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:35.013228Z","signature_b64":"Yr4xpKtB/MbcVfzL21tkac2HpqY9gk7r8WjwSc7aEB2EyAJ9BsEyTOdGZLUXKKRI/gEV910mDQ4qOszai/ikAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"296e3d187d4fe207a41516d06304b47e8c65fcc52c7079a968c4b669bfac9eaa","last_reissued_at":"2026-05-18T00:40:35.012520Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:35.012520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.01715","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:40:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YIdg9FTH5LzJ3JlKckEPK96/fKFVfVYl3ZJiJMpTewAQH9bdszAEpqkjIXIMk6/0dIeci9UnQNbWY9Pw1f3HCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T10:40:16.682080Z"},"content_sha256":"d1c1a688adc9dea83b10dafaf53e33ff9e2dc26cc27289a49334057f85ed5102","schema_version":"1.0","event_id":"sha256:d1c1a688adc9dea83b10dafaf53e33ff9e2dc26cc27289a49334057f85ed5102"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:FFXD2GD5J7RAPJAVC3IGGBFUP2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recover Subjective Quality Scores from Noisy Measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Christos G. Bampis, Zhi Li","submitted_at":"2016-11-06T01:34:47Z","abstract_excerpt":"Simple quality metrics such as PSNR are known to not correlate well with subjective quality when tested across a wide spectrum of video content or quality regime. Recently, efforts have been made in designing objective quality metrics trained on subjective data (e.g. VMAF), demonstrating better correlation with video quality perceived by human. Clearly, the accuracy of such a metric heavily depends on the quality of the subjective data that it is trained on. In this paper, we propose a new approach to recover subjective quality scores from noisy raw measurements, using maximum likelihood estim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.01715","kind":"arxiv","version":3},"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":"2026-05-18T00:40:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r8Qj7JgQ3V/ayBYF2ksuulvTYM3rzGooieUoWNdKDW+OqIskm1Mz8Yk/ekQWlSTI349KW+ol9+nhh5MElm5uCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T10:40:16.682442Z"},"content_sha256":"225001026f4cc723565c3b55326b182a9dc3781b56d85b41c71a49f68c1e8eaf","schema_version":"1.0","event_id":"sha256:225001026f4cc723565c3b55326b182a9dc3781b56d85b41c71a49f68c1e8eaf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2/bundle.json","state_url":"https://pith.science/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2/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":"2026-06-05T10:40:16Z","links":{"resolver":"https://pith.science/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2","bundle":"https://pith.science/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2/bundle.json","state":"https://pith.science/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FFXD2GD5J7RAPJAVC3IGGBFUP2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:FFXD2GD5J7RAPJAVC3IGGBFUP2","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":"8211db7af64bd31bacac4a02546a4c331c35deba27234a061b16a134910cd211","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-11-06T01:34:47Z","title_canon_sha256":"6933c987067ff94267499073831b353703c030c6038fbdebea6efe19d96b108d"},"schema_version":"1.0","source":{"id":"1611.01715","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.01715","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"arxiv_version","alias_value":"1611.01715v3","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.01715","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"pith_short_12","alias_value":"FFXD2GD5J7RA","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"FFXD2GD5J7RAPJAV","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"FFXD2GD5","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:225001026f4cc723565c3b55326b182a9dc3781b56d85b41c71a49f68c1e8eaf","target":"graph","created_at":"2026-05-18T00:40:35Z","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":"Simple quality metrics such as PSNR are known to not correlate well with subjective quality when tested across a wide spectrum of video content or quality regime. Recently, efforts have been made in designing objective quality metrics trained on subjective data (e.g. VMAF), demonstrating better correlation with video quality perceived by human. Clearly, the accuracy of such a metric heavily depends on the quality of the subjective data that it is trained on. In this paper, we propose a new approach to recover subjective quality scores from noisy raw measurements, using maximum likelihood estim","authors_text":"Christos G. Bampis, Zhi Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-11-06T01:34:47Z","title":"Recover Subjective Quality Scores from Noisy Measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.01715","kind":"arxiv","version":3},"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:d1c1a688adc9dea83b10dafaf53e33ff9e2dc26cc27289a49334057f85ed5102","target":"record","created_at":"2026-05-18T00:40:35Z","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":"8211db7af64bd31bacac4a02546a4c331c35deba27234a061b16a134910cd211","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2016-11-06T01:34:47Z","title_canon_sha256":"6933c987067ff94267499073831b353703c030c6038fbdebea6efe19d96b108d"},"schema_version":"1.0","source":{"id":"1611.01715","kind":"arxiv","version":3}},"canonical_sha256":"296e3d187d4fe207a41516d06304b47e8c65fcc52c7079a968c4b669bfac9eaa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"296e3d187d4fe207a41516d06304b47e8c65fcc52c7079a968c4b669bfac9eaa","first_computed_at":"2026-05-18T00:40:35.012520Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:35.012520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yr4xpKtB/MbcVfzL21tkac2HpqY9gk7r8WjwSc7aEB2EyAJ9BsEyTOdGZLUXKKRI/gEV910mDQ4qOszai/ikAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:35.013228Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.01715","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1c1a688adc9dea83b10dafaf53e33ff9e2dc26cc27289a49334057f85ed5102","sha256:225001026f4cc723565c3b55326b182a9dc3781b56d85b41c71a49f68c1e8eaf"],"state_sha256":"96edae8e2835966c76bdfc6a0fb9560bdbea949709dec0f0a5b0bdb2799bb540"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UVI8tfqJUksB2q932aU1DMSvSvD9xPMa5QdzWpnbmfkvcVhJk5KWh97+WSGQR0kO5WH/tEom7Tsjkddxs0v+DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T10:40:16.684394Z","bundle_sha256":"4d39d616ad48ff6a3f6f928fa328b6cb083b591fdb24977583ec14ad5867440b"}}