{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PIF4DNSGXXEMYLG6YLFU6KPBVP","short_pith_number":"pith:PIF4DNSG","canonical_record":{"source":{"id":"2607.02722","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T19:17:26Z","cross_cats_sorted":[],"title_canon_sha256":"3f0140beebf879f46728e77f9206e90e7f1c63de5c96fe885205319a31fe642c","abstract_canon_sha256":"aae275f236e685a32bb2e4b51ff30bea857d4c0f7d5d697781a077eca59ff9bf"},"schema_version":"1.0"},"canonical_sha256":"7a0bc1b646bdc8cc2cdec2cb4f29e1abfefd886d620e9766b29f3189aa9e905d","source":{"kind":"arxiv","id":"2607.02722","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02722","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02722v1","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02722","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"pith_short_12","alias_value":"PIF4DNSGXXEM","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"pith_short_16","alias_value":"PIF4DNSGXXEMYLG6","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"pith_short_8","alias_value":"PIF4DNSG","created_at":"2026-07-07T00:16:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PIF4DNSGXXEMYLG6YLFU6KPBVP","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02722","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T19:17:26Z","cross_cats_sorted":[],"title_canon_sha256":"3f0140beebf879f46728e77f9206e90e7f1c63de5c96fe885205319a31fe642c","abstract_canon_sha256":"aae275f236e685a32bb2e4b51ff30bea857d4c0f7d5d697781a077eca59ff9bf"},"schema_version":"1.0"},"canonical_sha256":"7a0bc1b646bdc8cc2cdec2cb4f29e1abfefd886d620e9766b29f3189aa9e905d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T00:16:10.738274Z","signature_b64":"sdEOPNEvW4xQ26cFMoXLAceEUOL9e+iDgEOXkknpD7tnL+k7pomW5dHCQfrjXAZOfFtwrmt1UJ2rP+wSq2qnCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a0bc1b646bdc8cc2cdec2cb4f29e1abfefd886d620e9766b29f3189aa9e905d","last_reissued_at":"2026-07-07T00:16:10.737652Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T00:16:10.737652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02722","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":"2026-07-07T00:16:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lkY7+cs6b8tnhiCF2TprNQWZoyYUV7aexd3hCMAmmtM/scGDFnxh2HpV3YsF/LeVjwh2U+b1uIRwYVlN6ZgMBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:55:30.650842Z"},"content_sha256":"b379abb410ae96487c78612be7ec0d860a5764851a3dbde21a3725cb9c22eb77","schema_version":"1.0","event_id":"sha256:b379abb410ae96487c78612be7ec0d860a5764851a3dbde21a3725cb9c22eb77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PIF4DNSGXXEMYLG6YLFU6KPBVP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Varshith Roy Kotla","submitted_at":"2026-07-02T19:17:26Z","abstract_excerpt":"Predicting thermal volatility in high-performance EV powertrains is difficult as internal temperatures are rarely observable outside the lab, and models calibrated on lab drive cycles fail when deployed against real-world loads. We study this lab-to-track transfer problem using conformal prediction, offering distribution-free uncertainty bounds. We implement Ensemble Batch Prediction Intervals (EnbPI; Xu & Xie, 2021), a leave-one-out bootstrap-ensemble conformal method for autocorrelated time series, and calibrate it on real CALCE lithium-ion cycler data (A123 SP20 cells, FUDS profile). We eva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02722","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/2607.02722/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":"2026-07-07T00:16:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I887aW+2ga28zadadaRCezDU+4O46P9yrU0i+Xk5uGADKlCRHX/2vhZVRS+ydrkp8BE3d+MazB4PME1rwtKJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:55:30.651367Z"},"content_sha256":"0310f668f4898f5898172386ad61d84f6417a25fe2d16f157147f7e67895bca4","schema_version":"1.0","event_id":"sha256:0310f668f4898f5898172386ad61d84f6417a25fe2d16f157147f7e67895bca4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP/bundle.json","state_url":"https://pith.science/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP/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":"2026-08-06T13:55:30Z","links":{"resolver":"https://pith.science/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP","bundle":"https://pith.science/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP/bundle.json","state":"https://pith.science/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PIF4DNSGXXEMYLG6YLFU6KPBVP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PIF4DNSGXXEMYLG6YLFU6KPBVP","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":"aae275f236e685a32bb2e4b51ff30bea857d4c0f7d5d697781a077eca59ff9bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T19:17:26Z","title_canon_sha256":"3f0140beebf879f46728e77f9206e90e7f1c63de5c96fe885205319a31fe642c"},"schema_version":"1.0","source":{"id":"2607.02722","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02722","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02722v1","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02722","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"pith_short_12","alias_value":"PIF4DNSGXXEM","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"pith_short_16","alias_value":"PIF4DNSGXXEMYLG6","created_at":"2026-07-07T00:16:10Z"},{"alias_kind":"pith_short_8","alias_value":"PIF4DNSG","created_at":"2026-07-07T00:16:10Z"}],"graph_snapshots":[{"event_id":"sha256:0310f668f4898f5898172386ad61d84f6417a25fe2d16f157147f7e67895bca4","target":"graph","created_at":"2026-07-07T00:16:10Z","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/2607.02722/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting thermal volatility in high-performance EV powertrains is difficult as internal temperatures are rarely observable outside the lab, and models calibrated on lab drive cycles fail when deployed against real-world loads. We study this lab-to-track transfer problem using conformal prediction, offering distribution-free uncertainty bounds. We implement Ensemble Batch Prediction Intervals (EnbPI; Xu & Xie, 2021), a leave-one-out bootstrap-ensemble conformal method for autocorrelated time series, and calibrate it on real CALCE lithium-ion cycler data (A123 SP20 cells, FUDS profile). We eva","authors_text":"Varshith Roy Kotla","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T19:17:26Z","title":"Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02722","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:b379abb410ae96487c78612be7ec0d860a5764851a3dbde21a3725cb9c22eb77","target":"record","created_at":"2026-07-07T00:16:10Z","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":"aae275f236e685a32bb2e4b51ff30bea857d4c0f7d5d697781a077eca59ff9bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T19:17:26Z","title_canon_sha256":"3f0140beebf879f46728e77f9206e90e7f1c63de5c96fe885205319a31fe642c"},"schema_version":"1.0","source":{"id":"2607.02722","kind":"arxiv","version":1}},"canonical_sha256":"7a0bc1b646bdc8cc2cdec2cb4f29e1abfefd886d620e9766b29f3189aa9e905d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a0bc1b646bdc8cc2cdec2cb4f29e1abfefd886d620e9766b29f3189aa9e905d","first_computed_at":"2026-07-07T00:16:10.737652Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T00:16:10.737652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sdEOPNEvW4xQ26cFMoXLAceEUOL9e+iDgEOXkknpD7tnL+k7pomW5dHCQfrjXAZOfFtwrmt1UJ2rP+wSq2qnCQ==","signature_status":"signed_v1","signed_at":"2026-07-07T00:16:10.738274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02722","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b379abb410ae96487c78612be7ec0d860a5764851a3dbde21a3725cb9c22eb77","sha256:0310f668f4898f5898172386ad61d84f6417a25fe2d16f157147f7e67895bca4"],"state_sha256":"e94cc8f3cee33a82b1c12725ad2e4e150db2770426a6e4de76f21e7643c6a988"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g78B63/lrp+WhS2ikZ6vrNWSm9WmEgcoLkWwBhdr/P1lIKlnhOKXKagJJGCXQ7+C92Mb27QXg5EDw/nxfvVSCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:55:30.656630Z","bundle_sha256":"1ba8bff5fe886c867347627288898a4d96cdc5cc75d245fe3b1ca151bedcdafe"}}