{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:COOZPA3DUPEPJOZXKDQCPSVPZX","short_pith_number":"pith:COOZPA3D","canonical_record":{"source":{"id":"2607.01354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2026-07-01T18:11:57Z","cross_cats_sorted":[],"title_canon_sha256":"65d350fcc6b8eb70ab5213a6a52d0b3c1f6a0e8d26a92b66705c5624f96c88f7","abstract_canon_sha256":"6f97155eced310ff3c1ffe06a8f207e7fb45725f181a5556b197d595b53d6ce2"},"schema_version":"1.0"},"canonical_sha256":"139d978363a3c8f4bb3750e027caafcdedaeca6ca9406cba896fdaa75ba21d8a","source":{"kind":"arxiv","id":"2607.01354","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01354","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01354v1","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01354","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_12","alias_value":"COOZPA3DUPEP","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_16","alias_value":"COOZPA3DUPEPJOZX","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_8","alias_value":"COOZPA3D","created_at":"2026-07-03T00:16:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:COOZPA3DUPEPJOZXKDQCPSVPZX","target":"record","payload":{"canonical_record":{"source":{"id":"2607.01354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2026-07-01T18:11:57Z","cross_cats_sorted":[],"title_canon_sha256":"65d350fcc6b8eb70ab5213a6a52d0b3c1f6a0e8d26a92b66705c5624f96c88f7","abstract_canon_sha256":"6f97155eced310ff3c1ffe06a8f207e7fb45725f181a5556b197d595b53d6ce2"},"schema_version":"1.0"},"canonical_sha256":"139d978363a3c8f4bb3750e027caafcdedaeca6ca9406cba896fdaa75ba21d8a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T00:16:58.165435Z","signature_b64":"8E5/zcTi8z+jJzYQG2e+NFtBe929UZjd/+E/DH7BP9e3oFnM6VCjFvloN3hIDO/BG3cgXphiSp0Ubo4YT0edBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"139d978363a3c8f4bb3750e027caafcdedaeca6ca9406cba896fdaa75ba21d8a","last_reissued_at":"2026-07-03T00:16:58.165087Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T00:16:58.165087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.01354","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":"2026-07-03T00:16:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cXf7ld2KhzOcE/ay8IuZvXX9ntNnoZ64ldURzyy2EIymDbwNM9CSrjqQ8vPRmdtrJDebs0PbZbu7mLviDDDRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:23:03.359354Z"},"content_sha256":"594faab2b66b4fbfb24f51ff99dbd5a9d04b259721ff4ec3db0c06eafd6a0902","schema_version":"1.0","event_id":"sha256:594faab2b66b4fbfb24f51ff99dbd5a9d04b259721ff4ec3db0c06eafd6a0902"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:COOZPA3DUPEPJOZXKDQCPSVPZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local Conformal Predictions for Calibrated Surrogates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Anja Butter, Henning Bahl, J\\\"urgen Hesser, Suprio Dubey, Tilman Plehn","submitted_at":"2026-07-01T18:11:57Z","abstract_excerpt":"Neural network surrogates for LHC scattering amplitudes require trustworthy uncertainty estimates, a challenging task given the non-Gaussian systematics. We target it using conformal prediction, a distribution-free post-processing to complement trained surrogates with calibrated uncertainties. We find that standard conformal predictions struggle to provide locally calibrated uncertainties. This leads us to introduce FALCON, a novel conformal prediction method that learns locally calibrated confidence intervals. Our simple examples illustrate the power of distribution-free uncertainty quantific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01354","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/2607.01354/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":"2026-07-03T00:16:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U5EDO0gQ6zDEc1k1yvASCO8ZH+BkzJ5JfDASiJXBPFu7WvAKaLe9MHTdIWW5hmDcatpZ++Rm6YERr+2wazlmAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:23:03.359732Z"},"content_sha256":"c8168346516b4df44e413ab3f8319ec64a94ff64bb4345b89eb5b222630d411b","schema_version":"1.0","event_id":"sha256:c8168346516b4df44e413ab3f8319ec64a94ff64bb4345b89eb5b222630d411b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/COOZPA3DUPEPJOZXKDQCPSVPZX/bundle.json","state_url":"https://pith.science/pith/COOZPA3DUPEPJOZXKDQCPSVPZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/COOZPA3DUPEPJOZXKDQCPSVPZX/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":"2026-07-04T04:23:03Z","links":{"resolver":"https://pith.science/pith/COOZPA3DUPEPJOZXKDQCPSVPZX","bundle":"https://pith.science/pith/COOZPA3DUPEPJOZXKDQCPSVPZX/bundle.json","state":"https://pith.science/pith/COOZPA3DUPEPJOZXKDQCPSVPZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/COOZPA3DUPEPJOZXKDQCPSVPZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:COOZPA3DUPEPJOZXKDQCPSVPZX","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":"6f97155eced310ff3c1ffe06a8f207e7fb45725f181a5556b197d595b53d6ce2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2026-07-01T18:11:57Z","title_canon_sha256":"65d350fcc6b8eb70ab5213a6a52d0b3c1f6a0e8d26a92b66705c5624f96c88f7"},"schema_version":"1.0","source":{"id":"2607.01354","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01354","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01354v1","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01354","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_12","alias_value":"COOZPA3DUPEP","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_16","alias_value":"COOZPA3DUPEPJOZX","created_at":"2026-07-03T00:16:58Z"},{"alias_kind":"pith_short_8","alias_value":"COOZPA3D","created_at":"2026-07-03T00:16:58Z"}],"graph_snapshots":[{"event_id":"sha256:c8168346516b4df44e413ab3f8319ec64a94ff64bb4345b89eb5b222630d411b","target":"graph","created_at":"2026-07-03T00:16:58Z","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/2607.01354/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural network surrogates for LHC scattering amplitudes require trustworthy uncertainty estimates, a challenging task given the non-Gaussian systematics. We target it using conformal prediction, a distribution-free post-processing to complement trained surrogates with calibrated uncertainties. We find that standard conformal predictions struggle to provide locally calibrated uncertainties. This leads us to introduce FALCON, a novel conformal prediction method that learns locally calibrated confidence intervals. Our simple examples illustrate the power of distribution-free uncertainty quantific","authors_text":"Anja Butter, Henning Bahl, J\\\"urgen Hesser, Suprio Dubey, Tilman Plehn","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2026-07-01T18:11:57Z","title":"Local Conformal Predictions for Calibrated Surrogates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01354","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":"sha256:594faab2b66b4fbfb24f51ff99dbd5a9d04b259721ff4ec3db0c06eafd6a0902","target":"record","created_at":"2026-07-03T00:16:58Z","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":"6f97155eced310ff3c1ffe06a8f207e7fb45725f181a5556b197d595b53d6ce2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2026-07-01T18:11:57Z","title_canon_sha256":"65d350fcc6b8eb70ab5213a6a52d0b3c1f6a0e8d26a92b66705c5624f96c88f7"},"schema_version":"1.0","source":{"id":"2607.01354","kind":"arxiv","version":1}},"canonical_sha256":"139d978363a3c8f4bb3750e027caafcdedaeca6ca9406cba896fdaa75ba21d8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"139d978363a3c8f4bb3750e027caafcdedaeca6ca9406cba896fdaa75ba21d8a","first_computed_at":"2026-07-03T00:16:58.165087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T00:16:58.165087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8E5/zcTi8z+jJzYQG2e+NFtBe929UZjd/+E/DH7BP9e3oFnM6VCjFvloN3hIDO/BG3cgXphiSp0Ubo4YT0edBw==","signature_status":"signed_v1","signed_at":"2026-07-03T00:16:58.165435Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01354","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:594faab2b66b4fbfb24f51ff99dbd5a9d04b259721ff4ec3db0c06eafd6a0902","sha256:c8168346516b4df44e413ab3f8319ec64a94ff64bb4345b89eb5b222630d411b"],"state_sha256":"9e40c5641c1c597c6206936de46a7c6d7412209fb52dfe3e3fbb369115248808"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BJQrpUa089/hFnEGBYJ2mcliN7fsc5MGHCeBCPm0Xp3HvuEvRvz9SFb9SsWMU4Bt+0H+BUOeZke3qdaf7zFtDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T04:23:03.361701Z","bundle_sha256":"09567d2e32752eb5dc1af8c664ca2854c16aad01720effe05c0738fd577832f3"}}