{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:TIQBRDKSP4FGQ3LIOMTLKXBZFH","short_pith_number":"pith:TIQBRDKS","canonical_record":{"source":{"id":"2207.11318","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-07-22T20:09:21Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e9fcaeddabcac28c8b5a4757cfd7bf03b5785fc8a55adc04f80ea15238fa7074","abstract_canon_sha256":"f2157388ca2384cc82c7a1cf6027102a2da98512abbc1b11d7f452fb6de331b4"},"schema_version":"1.0"},"canonical_sha256":"9a20188d527f0a686d687326b55c3929c8a07daf81563b9dafa1978fb67e54f0","source":{"kind":"arxiv","id":"2207.11318","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11318","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11318v1","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11318","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"TIQBRDKSP4FG","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"TIQBRDKSP4FGQ3LI","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"TIQBRDKS","created_at":"2026-07-05T08:48:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:TIQBRDKSP4FGQ3LIOMTLKXBZFH","target":"record","payload":{"canonical_record":{"source":{"id":"2207.11318","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-07-22T20:09:21Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e9fcaeddabcac28c8b5a4757cfd7bf03b5785fc8a55adc04f80ea15238fa7074","abstract_canon_sha256":"f2157388ca2384cc82c7a1cf6027102a2da98512abbc1b11d7f452fb6de331b4"},"schema_version":"1.0"},"canonical_sha256":"9a20188d527f0a686d687326b55c3929c8a07daf81563b9dafa1978fb67e54f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:48:28.954883Z","signature_b64":"nWeo9qQpja+8SwfSk2kn34PehESyLaP+I2YgsWKhXV3YeV39RhPgBCZhNL3mNXOYoiVH/4SPq1u07ux9CuU2DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a20188d527f0a686d687326b55c3929c8a07daf81563b9dafa1978fb67e54f0","last_reissued_at":"2026-07-05T08:48:28.954534Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:48:28.954534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.11318","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":"2026-07-05T08:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2GFfc8bXAV8iVFll+xCLAomOTVW4FwzdreKmL8YkqHhdQuZAFOw4TfGNan7RdK9RYJ4G5D5zA53GVa+2oBa4BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:32:54.402067Z"},"content_sha256":"896ee8de36c0642f34ece18e85d4e9001ae34ef01e3b6f841a3cdd0f552e5abb","schema_version":"1.0","event_id":"sha256:896ee8de36c0642f34ece18e85d4e9001ae34ef01e3b6f841a3cdd0f552e5abb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:TIQBRDKSP4FGQ3LIOMTLKXBZFH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"stat.ME","authors_text":"Chris R. Johnson, David Pugmire, Sudhanshu Sane, Tushar M. Athawale","submitted_at":"2022-07-22T20:09:21Z","abstract_excerpt":"Visualization and analysis of multivariate data and their uncertainty are top research challenges in data visualization. Constructing fiber surfaces is a popular technique for multivariate data visualization that generalizes the idea of level-set visualization for univariate data to multivariate data. In this paper, we present a statistical framework to quantify positional probabilities of fibers extracted from uncertain bivariate fields. Specifically, we extend the state-of-the-art Gaussian models of uncertainty for bivariate data to other parametric distributions (e.g., uniform and Epanechni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11318","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.11318/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":"2026-07-05T08:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dU/quzlXC0QCbcE+ipf8op4ue+lLtmprH6WHJoIJp1AO0/G0fWlRZmIgKvNrWXpNEhn2GoO9xvIVqc1gcl38DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:32:54.402461Z"},"content_sha256":"8f11d9ecc1711934a970ee4c85d4e5491d78294fd582fd537ae3f78adc0f2a5c","schema_version":"1.0","event_id":"sha256:8f11d9ecc1711934a970ee4c85d4e5491d78294fd582fd537ae3f78adc0f2a5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH/bundle.json","state_url":"https://pith.science/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH/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":"2026-07-07T11:32:54Z","links":{"resolver":"https://pith.science/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH","bundle":"https://pith.science/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH/bundle.json","state":"https://pith.science/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TIQBRDKSP4FGQ3LIOMTLKXBZFH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TIQBRDKSP4FGQ3LIOMTLKXBZFH","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":"f2157388ca2384cc82c7a1cf6027102a2da98512abbc1b11d7f452fb6de331b4","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-07-22T20:09:21Z","title_canon_sha256":"e9fcaeddabcac28c8b5a4757cfd7bf03b5785fc8a55adc04f80ea15238fa7074"},"schema_version":"1.0","source":{"id":"2207.11318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11318","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11318v1","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11318","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"TIQBRDKSP4FG","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"TIQBRDKSP4FGQ3LI","created_at":"2026-07-05T08:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"TIQBRDKS","created_at":"2026-07-05T08:48:28Z"}],"graph_snapshots":[{"event_id":"sha256:8f11d9ecc1711934a970ee4c85d4e5491d78294fd582fd537ae3f78adc0f2a5c","target":"graph","created_at":"2026-07-05T08:48:28Z","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/2207.11318/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visualization and analysis of multivariate data and their uncertainty are top research challenges in data visualization. Constructing fiber surfaces is a popular technique for multivariate data visualization that generalizes the idea of level-set visualization for univariate data to multivariate data. In this paper, we present a statistical framework to quantify positional probabilities of fibers extracted from uncertain bivariate fields. Specifically, we extend the state-of-the-art Gaussian models of uncertainty for bivariate data to other parametric distributions (e.g., uniform and Epanechni","authors_text":"Chris R. Johnson, David Pugmire, Sudhanshu Sane, Tushar M. Athawale","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-07-22T20:09:21Z","title":"Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11318","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":"sha256:896ee8de36c0642f34ece18e85d4e9001ae34ef01e3b6f841a3cdd0f552e5abb","target":"record","created_at":"2026-07-05T08:48:28Z","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":"f2157388ca2384cc82c7a1cf6027102a2da98512abbc1b11d7f452fb6de331b4","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-07-22T20:09:21Z","title_canon_sha256":"e9fcaeddabcac28c8b5a4757cfd7bf03b5785fc8a55adc04f80ea15238fa7074"},"schema_version":"1.0","source":{"id":"2207.11318","kind":"arxiv","version":1}},"canonical_sha256":"9a20188d527f0a686d687326b55c3929c8a07daf81563b9dafa1978fb67e54f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a20188d527f0a686d687326b55c3929c8a07daf81563b9dafa1978fb67e54f0","first_computed_at":"2026-07-05T08:48:28.954534Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:28.954534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nWeo9qQpja+8SwfSk2kn34PehESyLaP+I2YgsWKhXV3YeV39RhPgBCZhNL3mNXOYoiVH/4SPq1u07ux9CuU2DA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:28.954883Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.11318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:896ee8de36c0642f34ece18e85d4e9001ae34ef01e3b6f841a3cdd0f552e5abb","sha256:8f11d9ecc1711934a970ee4c85d4e5491d78294fd582fd537ae3f78adc0f2a5c"],"state_sha256":"94301a74350d2f765af0f28d9b20a524e53e7800ef07b80846c57e31e18db207"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qrrvpTYfMTYdlp5YkOcwIhnhj2Ut/8RkCKrl4RMfdo51VNy8R4SRWvMhWZ6wA4eK8AB3k3EKrFCsfI0ALfj9BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:32:54.404397Z","bundle_sha256":"fee3478acf58c23f800cbf310f589cfb122f7ca222848d8929666b37bd2b38db"}}