{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:JSHARMGCKYIUF6GJMUB5JUO7VJ","short_pith_number":"pith:JSHARMGC","canonical_record":{"source":{"id":"2107.13098","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-27T22:49:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c6b0a030f3c1e046cb042aa555e8c3bdb7e0e5a774b29bcd284afd27b1b36eac","abstract_canon_sha256":"d66b00065560d1b4b23410c563be5f3ccb9acdec4fce9c2695af6be0cc3c5efc"},"schema_version":"1.0"},"canonical_sha256":"4c8e08b0c2561142f8c96503d4d1dfaa591dfdd8a401c6a841025a2680cb6a05","source":{"kind":"arxiv","id":"2107.13098","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.13098","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"arxiv_version","alias_value":"2107.13098v1","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.13098","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"pith_short_12","alias_value":"JSHARMGCKYIU","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"pith_short_16","alias_value":"JSHARMGCKYIUF6GJ","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"pith_short_8","alias_value":"JSHARMGC","created_at":"2026-07-05T03:01:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:JSHARMGCKYIUF6GJMUB5JUO7VJ","target":"record","payload":{"canonical_record":{"source":{"id":"2107.13098","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-27T22:49:59Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c6b0a030f3c1e046cb042aa555e8c3bdb7e0e5a774b29bcd284afd27b1b36eac","abstract_canon_sha256":"d66b00065560d1b4b23410c563be5f3ccb9acdec4fce9c2695af6be0cc3c5efc"},"schema_version":"1.0"},"canonical_sha256":"4c8e08b0c2561142f8c96503d4d1dfaa591dfdd8a401c6a841025a2680cb6a05","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:01:26.265376Z","signature_b64":"m2Gosbr5H73tpTJsmnaVqB/GLK+sfAHANP2vuQaUqHw+pZ9TZSuSVQ/8kJTduhEpsLIe8EiistXFE8DaXkOQBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c8e08b0c2561142f8c96503d4d1dfaa591dfdd8a401c6a841025a2680cb6a05","last_reissued_at":"2026-07-05T03:01:26.264836Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:01:26.264836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.13098","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":"2026-07-05T03:01:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8jJmDJoq09f4Z6qS3NjI83z/Hq1qL3+E1MkEDGzenTuY4UyJXuqswkjuUdR1ghAeAmUPzgRjV8HQo/EsOz6RBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T09:38:40.868874Z"},"content_sha256":"9373c8fe46ab3600985ece6e578ba046302cd337de6bdd93051d6912dc79ee61","schema_version":"1.0","event_id":"sha256:9373c8fe46ab3600985ece6e578ba046302cd337de6bdd93051d6912dc79ee61"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:JSHARMGCKYIUF6GJMUB5JUO7VJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Tale Of Two Long Tails","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Chirag Agarwal, Daniel D'souza, Sara Hooker, Zach Nussbaum","submitted_at":"2021-07-27T22:49:59Z","abstract_excerpt":"As machine learning models are increasingly employed to assist human decision-makers, it becomes critical to communicate the uncertainty associated with these model predictions. However, the majority of work on uncertainty has focused on traditional probabilistic or ranking approaches - where the model assigns low probabilities or scores to uncertain examples. While this captures what examples are challenging for the model, it does not capture the underlying source of the uncertainty. In this work, we seek to identify examples the model is uncertain about and characterize the source of said un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.13098","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/2107.13098/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":"2026-07-05T03:01:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RoJ5qth5xA/gsCcbLRhFGmI/FmLNA95It9sp6bewWwEjGuuP0aFXbZuw/CWUPMPAPI+VUmQN1dT6LenqBiAxBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T09:38:40.869842Z"},"content_sha256":"ed3928e627fdc6192fe297dae8add549e86249586ef8d23b3ac11fc539e7b872","schema_version":"1.0","event_id":"sha256:ed3928e627fdc6192fe297dae8add549e86249586ef8d23b3ac11fc539e7b872"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ/bundle.json","state_url":"https://pith.science/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ/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":"2026-08-20T09:38:40Z","links":{"resolver":"https://pith.science/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ","bundle":"https://pith.science/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ/bundle.json","state":"https://pith.science/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JSHARMGCKYIUF6GJMUB5JUO7VJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:JSHARMGCKYIUF6GJMUB5JUO7VJ","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":"d66b00065560d1b4b23410c563be5f3ccb9acdec4fce9c2695af6be0cc3c5efc","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-27T22:49:59Z","title_canon_sha256":"c6b0a030f3c1e046cb042aa555e8c3bdb7e0e5a774b29bcd284afd27b1b36eac"},"schema_version":"1.0","source":{"id":"2107.13098","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.13098","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"arxiv_version","alias_value":"2107.13098v1","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.13098","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"pith_short_12","alias_value":"JSHARMGCKYIU","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"pith_short_16","alias_value":"JSHARMGCKYIUF6GJ","created_at":"2026-07-05T03:01:26Z"},{"alias_kind":"pith_short_8","alias_value":"JSHARMGC","created_at":"2026-07-05T03:01:26Z"}],"graph_snapshots":[{"event_id":"sha256:ed3928e627fdc6192fe297dae8add549e86249586ef8d23b3ac11fc539e7b872","target":"graph","created_at":"2026-07-05T03:01:26Z","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/2107.13098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As machine learning models are increasingly employed to assist human decision-makers, it becomes critical to communicate the uncertainty associated with these model predictions. However, the majority of work on uncertainty has focused on traditional probabilistic or ranking approaches - where the model assigns low probabilities or scores to uncertain examples. While this captures what examples are challenging for the model, it does not capture the underlying source of the uncertainty. In this work, we seek to identify examples the model is uncertain about and characterize the source of said un","authors_text":"Chirag Agarwal, Daniel D'souza, Sara Hooker, Zach Nussbaum","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-27T22:49:59Z","title":"A Tale Of Two Long Tails"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.13098","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":"sha256:9373c8fe46ab3600985ece6e578ba046302cd337de6bdd93051d6912dc79ee61","target":"record","created_at":"2026-07-05T03:01:26Z","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":"d66b00065560d1b4b23410c563be5f3ccb9acdec4fce9c2695af6be0cc3c5efc","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-27T22:49:59Z","title_canon_sha256":"c6b0a030f3c1e046cb042aa555e8c3bdb7e0e5a774b29bcd284afd27b1b36eac"},"schema_version":"1.0","source":{"id":"2107.13098","kind":"arxiv","version":1}},"canonical_sha256":"4c8e08b0c2561142f8c96503d4d1dfaa591dfdd8a401c6a841025a2680cb6a05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c8e08b0c2561142f8c96503d4d1dfaa591dfdd8a401c6a841025a2680cb6a05","first_computed_at":"2026-07-05T03:01:26.264836Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:26.264836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m2Gosbr5H73tpTJsmnaVqB/GLK+sfAHANP2vuQaUqHw+pZ9TZSuSVQ/8kJTduhEpsLIe8EiistXFE8DaXkOQBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:26.265376Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.13098","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9373c8fe46ab3600985ece6e578ba046302cd337de6bdd93051d6912dc79ee61","sha256:ed3928e627fdc6192fe297dae8add549e86249586ef8d23b3ac11fc539e7b872"],"state_sha256":"897fd8eb08f6a9bbfa8e90f86e77ce028fe78b433fdf441deac048bf7f521193"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tfmj8ElLrz1yXApQ3gHDoIm2ygZ1zdM1vMtgJOhySCRdTuEtwJCqmT+B3hpWO3Ul6QVcxBlb+w2jY4THCYSIDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T09:38:40.876740Z","bundle_sha256":"17bb6196fdb4c1fca7fda4103a9d3747003453db4a753b70a8e77bea98fa619a"}}