{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:FMVOLQ52UD4QHS2DVFGDYCK7UE","short_pith_number":"pith:FMVOLQ52","canonical_record":{"source":{"id":"2607.09400","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-10T13:24:34Z","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"title_canon_sha256":"468c65d899bd8f6572fdb9db3e23e0ea3fc9339bd90cdaf5c6a925eafb810c7b","abstract_canon_sha256":"3dd381722bdea08c7c91790889ac98648f76f52824f898c709be677e8ac2c56b"},"schema_version":"1.0"},"canonical_sha256":"2b2ae5c3baa0f903cb43a94c3c095fa11876338e9570ddd61f16b903e0cd4599","source":{"kind":"arxiv","id":"2607.09400","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.09400","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.09400v1","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09400","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"pith_short_12","alias_value":"FMVOLQ52UD4Q","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"pith_short_16","alias_value":"FMVOLQ52UD4QHS2D","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"pith_short_8","alias_value":"FMVOLQ52","created_at":"2026-07-13T01:19:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:FMVOLQ52UD4QHS2DVFGDYCK7UE","target":"record","payload":{"canonical_record":{"source":{"id":"2607.09400","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-10T13:24:34Z","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"title_canon_sha256":"468c65d899bd8f6572fdb9db3e23e0ea3fc9339bd90cdaf5c6a925eafb810c7b","abstract_canon_sha256":"3dd381722bdea08c7c91790889ac98648f76f52824f898c709be677e8ac2c56b"},"schema_version":"1.0"},"canonical_sha256":"2b2ae5c3baa0f903cb43a94c3c095fa11876338e9570ddd61f16b903e0cd4599","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T01:19:09.952478Z","signature_b64":"CbhBGrDcGqUVRphIE/yYJMm8/HbJlPP3UGEdkveIPJTLIpf/9l1GLyjW56K7DKgLVrQ3aAf2y7DN/pTbATFvDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b2ae5c3baa0f903cb43a94c3c095fa11876338e9570ddd61f16b903e0cd4599","last_reissued_at":"2026-07-13T01:19:09.951055Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T01:19:09.951055Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.09400","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":"2026-07-13T01:19:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rHQfAmZc78yI0box+4+8vaObyr/lqK2jbj8F4HTQbu0FWckIxQBVRvLtZQzh4fbid12yt4SQ17ch0M3MGPM1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T10:06:54.643005Z"},"content_sha256":"3ddb76d030843795d27d658b681ea39d16fab6a22311885af2f1050bddeea112","schema_version":"1.0","event_id":"sha256:3ddb76d030843795d27d658b681ea39d16fab6a22311885af2f1050bddeea112"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:FMVOLQ52UD4QHS2DVFGDYCK7UE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On-Device Adaptive Battery Power Prediction for Electric Vehicles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.AR","cs.PF"],"primary_cat":"cs.LG","authors_text":"Anton Paule, Avik Bhatnagar, Oliver Bringmann, Sebastian Reiter, Tobias Schuermann","submitted_at":"2026-07-10T13:24:34Z","abstract_excerpt":"Adaptive power management in Electric Vehicles (EVs) requires accurate power prediction. Although deep learning models have emerged as highly effective for time-series forecasting in this domain, their performance is prone to degradation when exposed to data with distributions different from the training data. We introduce a novel approach that enables on-device learning in resource-constrained EV systems to continuously adapt pretrained battery prediction models to new, unseen data. We leverage existing pretrained models by transforming them into adaptable versions that retain critical hyperp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09400","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/2607.09400/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":"2026-07-13T01:19:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vb7xV+jjnLpy+uHbVjJiOHub6ciQR4OLv/qYdKMHH87DlMGbwObVLDlgDE3h5+S9MkRNfio3crInyQDaunVBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T10:06:54.643407Z"},"content_sha256":"614eca5676243f3bc3ec230ecee05605a99cfbdf7458591d1b4700492ceb91f5","schema_version":"1.0","event_id":"sha256:614eca5676243f3bc3ec230ecee05605a99cfbdf7458591d1b4700492ceb91f5"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:FMVOLQ52UD4QHS2DVFGDYCK7UE","target":"integrity","payload":{"note":"This paper contains a 40-token span identical to one in arXiv:2605.21350. The two papers share no author per Pith records and neither cites the other. The duplication is the verbatim shared span; the framing makes no claim about intent or directionality.","snippet":"all other uses in any current or future media including reprinting republishing this material for advertising or promotional purposes creating new collective works for resale or redistribution to servers or lists or reuse of any copyrighted","arxiv_id":"2607.09400","detector":"shingle_duplication","evidence":{"shared_text":"all other uses in any current or future media including reprinting republishing this material for advertising or promotional purposes creating new collective works for resale or redistribution to servers or lists or reuse of any copyrighted component of this work","verdict_class":"incontrovertible","shared_arxiv_id":"2605.21350","shared_token_count":40,"shared_paper_version":1,"shared_offset_in_citing_paper":60},"severity":"advisory","ref_index":null,"audited_at":"2026-07-13T21:53:58.166585Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#shingle_duplication","external_url":null,"finding_type":"prose_duplication","evidence_hash":"282a85a40f6a9f295d4682388299775ec048c483632dcfbaaa1bd70505c570b3","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"0.1.0","detected_arxiv_id":"2605.21350","integrity_event_id":13086,"payload_sha256":"09ef9a2a90d54e809a40af44ad3ba48eb09b98a5de21c418e437e2e6c4f49f5d","signature_b64":"Y4VkdhIiCEcCVZVp72dWLa03LcHWWv78PX8PIqP4393RrwXWfC2dtrkuh7s6WlLbyBx3sMW7kZcwthdlz3rMAQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-13T21:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WQYMmZ8Y/YgmCdzpkI+koWbO2XG3K92Q5Eo5wmh4Kv8NEraY29h856JCl23T6h1fP1GvAWrstPfCIXYEBFwrDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T10:06:54.645149Z"},"content_sha256":"3887a19905c57c725b7db0ecb3e4efeb60732cae6e0f8d17cf4578f733b7a061","schema_version":"1.0","event_id":"sha256:3887a19905c57c725b7db0ecb3e4efeb60732cae6e0f8d17cf4578f733b7a061"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:FMVOLQ52UD4QHS2DVFGDYCK7UE","target":"integrity","payload":{"note":"This paper contains a 40-token span identical to one in arXiv:2605.20136. The two papers share no author per Pith records and neither cites the other. The duplication is the verbatim shared span; the framing makes no claim about intent or directionality.","snippet":"be obtained for all other uses in any current or future media including reprinting republishing this material for advertising or promotional purposes creating new collective works for resale or redistribution to servers or lists or reuse of","arxiv_id":"2607.09400","detector":"shingle_duplication","evidence":{"shared_text":"be obtained for all other uses in any current or future media including reprinting republishing this material for advertising or promotional purposes creating new collective works for resale or redistribution to servers or lists or reuse of any copyrighted component","verdict_class":"incontrovertible","shared_arxiv_id":"2605.20136","shared_token_count":40,"shared_paper_version":1,"shared_offset_in_citing_paper":57},"severity":"advisory","ref_index":null,"audited_at":"2026-07-13T21:53:58.166585Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#shingle_duplication","external_url":null,"finding_type":"prose_duplication","evidence_hash":"759382387ad29b10815cea1984e4c733d8b129406f57996da49cbb5f3ca29bf5","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"0.1.0","detected_arxiv_id":"2605.20136","integrity_event_id":13085,"payload_sha256":"68c48ac56d2127fa788d1ccfdfad224734c6c2352fa04d8e72f55929a2fd8764","signature_b64":"QUJbsmcVx7Oqpd24F7AJHGgC7Z+ZhsT/KRgQ7kbq5coEknA8SRe6cAueP8K6Yt19SnUSPLLxruf41iYMGPxWAA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-13T21:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o4GHkzvQgaQNGncd91SS1yPIwV77SSdoO2vLAXQuDmjBXoK5zrAS0Enhhx7lnHKBlO9PNybBI87HtoXE0KneCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T10:06:54.645460Z"},"content_sha256":"598e0bb446bc2e17157ca1090f8d3692d6e75d852ad15f7c29167857af2346c0","schema_version":"1.0","event_id":"sha256:598e0bb446bc2e17157ca1090f8d3692d6e75d852ad15f7c29167857af2346c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE/bundle.json","state_url":"https://pith.science/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE/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":"2026-07-29T10:06:54Z","links":{"resolver":"https://pith.science/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE","bundle":"https://pith.science/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE/bundle.json","state":"https://pith.science/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FMVOLQ52UD4QHS2DVFGDYCK7UE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FMVOLQ52UD4QHS2DVFGDYCK7UE","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3dd381722bdea08c7c91790889ac98648f76f52824f898c709be677e8ac2c56b","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-10T13:24:34Z","title_canon_sha256":"468c65d899bd8f6572fdb9db3e23e0ea3fc9339bd90cdaf5c6a925eafb810c7b"},"schema_version":"1.0","source":{"id":"2607.09400","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.09400","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.09400v1","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09400","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"pith_short_12","alias_value":"FMVOLQ52UD4Q","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"pith_short_16","alias_value":"FMVOLQ52UD4QHS2D","created_at":"2026-07-13T01:19:09Z"},{"alias_kind":"pith_short_8","alias_value":"FMVOLQ52","created_at":"2026-07-13T01:19:09Z"}],"graph_snapshots":[{"event_id":"sha256:614eca5676243f3bc3ec230ecee05605a99cfbdf7458591d1b4700492ceb91f5","target":"graph","created_at":"2026-07-13T01:19:09Z","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/2607.09400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adaptive power management in Electric Vehicles (EVs) requires accurate power prediction. Although deep learning models have emerged as highly effective for time-series forecasting in this domain, their performance is prone to degradation when exposed to data with distributions different from the training data. We introduce a novel approach that enables on-device learning in resource-constrained EV systems to continuously adapt pretrained battery prediction models to new, unseen data. We leverage existing pretrained models by transforming them into adaptable versions that retain critical hyperp","authors_text":"Anton Paule, Avik Bhatnagar, Oliver Bringmann, Sebastian Reiter, Tobias Schuermann","cross_cats":["cs.AI","cs.AR","cs.PF"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-10T13:24:34Z","title":"On-Device Adaptive Battery Power Prediction for Electric Vehicles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09400","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":"sha256:3ddb76d030843795d27d658b681ea39d16fab6a22311885af2f1050bddeea112","target":"record","created_at":"2026-07-13T01:19:09Z","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":"3dd381722bdea08c7c91790889ac98648f76f52824f898c709be677e8ac2c56b","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-10T13:24:34Z","title_canon_sha256":"468c65d899bd8f6572fdb9db3e23e0ea3fc9339bd90cdaf5c6a925eafb810c7b"},"schema_version":"1.0","source":{"id":"2607.09400","kind":"arxiv","version":1}},"canonical_sha256":"2b2ae5c3baa0f903cb43a94c3c095fa11876338e9570ddd61f16b903e0cd4599","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b2ae5c3baa0f903cb43a94c3c095fa11876338e9570ddd61f16b903e0cd4599","first_computed_at":"2026-07-13T01:19:09.951055Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-13T01:19:09.951055Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CbhBGrDcGqUVRphIE/yYJMm8/HbJlPP3UGEdkveIPJTLIpf/9l1GLyjW56K7DKgLVrQ3aAf2y7DN/pTbATFvDQ==","signature_status":"signed_v1","signed_at":"2026-07-13T01:19:09.952478Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.09400","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:3887a19905c57c725b7db0ecb3e4efeb60732cae6e0f8d17cf4578f733b7a061","sha256:598e0bb446bc2e17157ca1090f8d3692d6e75d852ad15f7c29167857af2346c0"]}],"invalid_events":[],"applied_event_ids":["sha256:3ddb76d030843795d27d658b681ea39d16fab6a22311885af2f1050bddeea112","sha256:614eca5676243f3bc3ec230ecee05605a99cfbdf7458591d1b4700492ceb91f5"],"state_sha256":"7e8990e88ffafd212b7de8b841cdd77f96b39d564a82b27348461d3a66e97245"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ratD77cZUSF4Cjnei1ero+gOkyrqhWqFi3x2vRM1bvN4Ti4LdVdN+EdG1WRHYY7vdCpkqnhT4HoHGeQxFvQCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-29T10:06:54.647043Z","bundle_sha256":"5f562da089e3e408088b6c644cb6651077166404c4af89438e0a740d79c8bbae"}}