{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6YBGK7XGR2WBMFXZFHOTOE2GSJ","short_pith_number":"pith:6YBGK7XG","canonical_record":{"source":{"id":"2406.17819","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T08:29:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f9c2605f14ba375101fbf197a1323d23997b00872d371cece43bc9eee16cdee3","abstract_canon_sha256":"0b80fb8de0ad143e5a1ee42aac8db8eeb5c1302a9288c9b5c81d9091717155b7"},"schema_version":"1.0"},"canonical_sha256":"f602657ee68eac1616f929dd3713469253e3e794c0f6e7fcd04b69188552fd7f","source":{"kind":"arxiv","id":"2406.17819","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17819","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17819v4","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17819","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"pith_short_12","alias_value":"6YBGK7XGR2WB","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"pith_short_16","alias_value":"6YBGK7XGR2WBMFXZ","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"pith_short_8","alias_value":"6YBGK7XG","created_at":"2026-07-05T10:40:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6YBGK7XGR2WBMFXZFHOTOE2GSJ","target":"record","payload":{"canonical_record":{"source":{"id":"2406.17819","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T08:29:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f9c2605f14ba375101fbf197a1323d23997b00872d371cece43bc9eee16cdee3","abstract_canon_sha256":"0b80fb8de0ad143e5a1ee42aac8db8eeb5c1302a9288c9b5c81d9091717155b7"},"schema_version":"1.0"},"canonical_sha256":"f602657ee68eac1616f929dd3713469253e3e794c0f6e7fcd04b69188552fd7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:01.580684Z","signature_b64":"4z8Dq79fa3hKXbSm3KfukFTcmFpmqQBDKjMO3INUBMscBAsZo8V/x0IhZ7rXpSH4piaj9o4t28sZes4oVTSKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f602657ee68eac1616f929dd3713469253e3e794c0f6e7fcd04b69188552fd7f","last_reissued_at":"2026-07-05T10:40:01.580161Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:01.580161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.17819","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:40:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZX7O4ka2Dw8zAxcCn2+6k3tutk5NZmlZi1KQHPqXJfylNHRJ8zzcHcm7CRWUIMI8XNzb5S45jr7oDT0XM101Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:37.137907Z"},"content_sha256":"eb8f5b3d2d62ca92c42693e097667990519943f8d1b8b4de6a284a67c7c06a88","schema_version":"1.0","event_id":"sha256:eb8f5b3d2d62ca92c42693e097667990519943f8d1b8b4de6a284a67c7c06a88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6YBGK7XGR2WBMFXZFHOTOE2GSJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatically Adaptive Conformal Risk Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Anastasios N Angelopoulos (UC Berkeley), CNRS), INRIA), Michael I Jordan (UC Berkeley, Nicolas J-B Brunel (ENSIIE), Vincent Blot (LISN","submitted_at":"2024-06-25T08:29:32Z","abstract_excerpt":"Science and technology have a growing need for effective mechanisms that ensure reliable, controlled performance from black-box machine learning algorithms. These performance guarantees should ideally hold conditionally on the input-that is the performance guarantees should hold, at least approximately, no matter what the input. However, beyond stylized discrete groupings such as ethnicity and gender, the right notion of conditioning can be difficult to define. For example, in problems such as image segmentation, we want the uncertainty to reflect the intrinsic difficulty of the test sample, b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17819","kind":"arxiv","version":4},"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/2406.17819/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":"2026-07-05T10:40:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XW8iozkclTkDlkNBfoi9q4Bbx784+tcnjm/PHoU5GXDpqm+7i4BTnCyeMgsORCA3041XBeLaqOOKiRofkEphDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:37.138759Z"},"content_sha256":"42f8de046b5b8f8f96383e89b05abd21c12e2893b20dabd40981866e806db49b","schema_version":"1.0","event_id":"sha256:42f8de046b5b8f8f96383e89b05abd21c12e2893b20dabd40981866e806db49b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ/bundle.json","state_url":"https://pith.science/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ/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":"2026-08-08T13:59:37Z","links":{"resolver":"https://pith.science/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ","bundle":"https://pith.science/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ/bundle.json","state":"https://pith.science/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6YBGK7XGR2WBMFXZFHOTOE2GSJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6YBGK7XGR2WBMFXZFHOTOE2GSJ","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":"0b80fb8de0ad143e5a1ee42aac8db8eeb5c1302a9288c9b5c81d9091717155b7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T08:29:32Z","title_canon_sha256":"f9c2605f14ba375101fbf197a1323d23997b00872d371cece43bc9eee16cdee3"},"schema_version":"1.0","source":{"id":"2406.17819","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17819","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17819v4","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17819","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"pith_short_12","alias_value":"6YBGK7XGR2WB","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"pith_short_16","alias_value":"6YBGK7XGR2WBMFXZ","created_at":"2026-07-05T10:40:01Z"},{"alias_kind":"pith_short_8","alias_value":"6YBGK7XG","created_at":"2026-07-05T10:40:01Z"}],"graph_snapshots":[{"event_id":"sha256:42f8de046b5b8f8f96383e89b05abd21c12e2893b20dabd40981866e806db49b","target":"graph","created_at":"2026-07-05T10:40:01Z","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/2406.17819/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Science and technology have a growing need for effective mechanisms that ensure reliable, controlled performance from black-box machine learning algorithms. These performance guarantees should ideally hold conditionally on the input-that is the performance guarantees should hold, at least approximately, no matter what the input. However, beyond stylized discrete groupings such as ethnicity and gender, the right notion of conditioning can be difficult to define. For example, in problems such as image segmentation, we want the uncertainty to reflect the intrinsic difficulty of the test sample, b","authors_text":"Anastasios N Angelopoulos (UC Berkeley), CNRS), INRIA), Michael I Jordan (UC Berkeley, Nicolas J-B Brunel (ENSIIE), Vincent Blot (LISN","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T08:29:32Z","title":"Automatically Adaptive Conformal Risk Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17819","kind":"arxiv","version":4},"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:eb8f5b3d2d62ca92c42693e097667990519943f8d1b8b4de6a284a67c7c06a88","target":"record","created_at":"2026-07-05T10:40:01Z","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":"0b80fb8de0ad143e5a1ee42aac8db8eeb5c1302a9288c9b5c81d9091717155b7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-25T08:29:32Z","title_canon_sha256":"f9c2605f14ba375101fbf197a1323d23997b00872d371cece43bc9eee16cdee3"},"schema_version":"1.0","source":{"id":"2406.17819","kind":"arxiv","version":4}},"canonical_sha256":"f602657ee68eac1616f929dd3713469253e3e794c0f6e7fcd04b69188552fd7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f602657ee68eac1616f929dd3713469253e3e794c0f6e7fcd04b69188552fd7f","first_computed_at":"2026-07-05T10:40:01.580161Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:40:01.580161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4z8Dq79fa3hKXbSm3KfukFTcmFpmqQBDKjMO3INUBMscBAsZo8V/x0IhZ7rXpSH4piaj9o4t28sZes4oVTSKAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:40:01.580684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17819","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb8f5b3d2d62ca92c42693e097667990519943f8d1b8b4de6a284a67c7c06a88","sha256:42f8de046b5b8f8f96383e89b05abd21c12e2893b20dabd40981866e806db49b"],"state_sha256":"d102cc3df01e16aa7017ba12d62052eb07143b35bf7227f9cdc05641338c5d34"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XZjTtH35BKfyb799QMVLbQvd86YTLW499C754UCnEpxFkidMuns+rixM1NpRPqjhsLNDr1DJ9sjiLT5k1WAbDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:59:37.149118Z","bundle_sha256":"66f28def80e1047cfc952b00b0b523c3bfb9e7c4997fd1c99f1aa090166cdaa8"}}