{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3IPJTLW6CGTBCEBLI3HNFF3K5T","short_pith_number":"pith:3IPJTLW6","canonical_record":{"source":{"id":"2509.01323","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-01T10:06:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"249f5793cf4226c5c23c6ff9b71e54d5c5e4c01eb4b45b6a1b21a00d2005e3d6","abstract_canon_sha256":"d376964059119f2afd61164a768c3be1bd35b0e88cea57d7cef4239cbc023e96"},"schema_version":"1.0"},"canonical_sha256":"da1e99aede11a611102b46ced2976aecd6e8a8494aeacf843e32a58b05ea2de8","source":{"kind":"arxiv","id":"2509.01323","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01323","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01323v1","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01323","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_12","alias_value":"3IPJTLW6CGTB","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_16","alias_value":"3IPJTLW6CGTBCEBL","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_8","alias_value":"3IPJTLW6","created_at":"2026-07-05T12:02:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3IPJTLW6CGTBCEBLI3HNFF3K5T","target":"record","payload":{"canonical_record":{"source":{"id":"2509.01323","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-01T10:06:19Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"249f5793cf4226c5c23c6ff9b71e54d5c5e4c01eb4b45b6a1b21a00d2005e3d6","abstract_canon_sha256":"d376964059119f2afd61164a768c3be1bd35b0e88cea57d7cef4239cbc023e96"},"schema_version":"1.0"},"canonical_sha256":"da1e99aede11a611102b46ced2976aecd6e8a8494aeacf843e32a58b05ea2de8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:58.262587Z","signature_b64":"oZKnL7tEl0KvQO+1IaMkyHcv2H3kydW7bigHabpg6jZ2uVy+gU8Meov9tjX4gMPnwEvPKiNC/GLIRH7SgWckAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da1e99aede11a611102b46ced2976aecd6e8a8494aeacf843e32a58b05ea2de8","last_reissued_at":"2026-07-05T12:02:58.262103Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:58.262103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.01323","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":"2026-07-05T12:02:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qS8xX7N07AWVfe7mooVCGOpvXMW97gZEs7xoz77rBSfYCVzG+LQo1utktCg4VW7trf4ZS3BuA1TAdaNDXvnBBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:53:43.648716Z"},"content_sha256":"85b254f7724c02f20b0ed4527ac3cc37c7e8cdd09a392721cf076c0da6af818b","schema_version":"1.0","event_id":"sha256:85b254f7724c02f20b0ed4527ac3cc37c7e8cdd09a392721cf076c0da6af818b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3IPJTLW6CGTBCEBLI3HNFF3K5T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multitask Battery Management with Flexible Pretraining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Guannan He, Hong Lu, Jiali Chen, Jingzhao Zhang, Minggao Ouyang, Xuebing Han","submitted_at":"2025-09-01T10:06:19Z","abstract_excerpt":"Industrial-scale battery management involves various types of tasks, such as estimation, prediction, and system-level diagnostics. Each task employs distinct data across temporal scales, sensor resolutions, and data channels. Building task-specific methods requires a great deal of data and engineering effort, which limits the scalability of intelligent battery management. Here we present the Flexible Masked Autoencoder (FMAE), a flexible pretraining framework that can learn with missing battery data channels and capture inter-correlations across data snippets. FMAE learns unified battery repre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01323","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/2509.01323/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":"2026-07-05T12:02:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wt5WzvYdwE0itu8sVvWSQQStbFert77ssyJ1AgkqpifLLYnXPUddjvPgzsa2sXndZ1aQc8KMD7acGFLDZ5VIDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:53:43.649223Z"},"content_sha256":"eb09bafcf3979a362ef4c6d713d014503807c10b18790677addbe938bbe322a9","schema_version":"1.0","event_id":"sha256:eb09bafcf3979a362ef4c6d713d014503807c10b18790677addbe938bbe322a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T/bundle.json","state_url":"https://pith.science/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T/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":"2026-08-03T15:53:43Z","links":{"resolver":"https://pith.science/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T","bundle":"https://pith.science/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T/bundle.json","state":"https://pith.science/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3IPJTLW6CGTBCEBLI3HNFF3K5T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3IPJTLW6CGTBCEBLI3HNFF3K5T","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":"d376964059119f2afd61164a768c3be1bd35b0e88cea57d7cef4239cbc023e96","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-01T10:06:19Z","title_canon_sha256":"249f5793cf4226c5c23c6ff9b71e54d5c5e4c01eb4b45b6a1b21a00d2005e3d6"},"schema_version":"1.0","source":{"id":"2509.01323","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01323","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01323v1","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01323","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_12","alias_value":"3IPJTLW6CGTB","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_16","alias_value":"3IPJTLW6CGTBCEBL","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_8","alias_value":"3IPJTLW6","created_at":"2026-07-05T12:02:58Z"}],"graph_snapshots":[{"event_id":"sha256:eb09bafcf3979a362ef4c6d713d014503807c10b18790677addbe938bbe322a9","target":"graph","created_at":"2026-07-05T12:02:58Z","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/2509.01323/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial-scale battery management involves various types of tasks, such as estimation, prediction, and system-level diagnostics. Each task employs distinct data across temporal scales, sensor resolutions, and data channels. Building task-specific methods requires a great deal of data and engineering effort, which limits the scalability of intelligent battery management. Here we present the Flexible Masked Autoencoder (FMAE), a flexible pretraining framework that can learn with missing battery data channels and capture inter-correlations across data snippets. FMAE learns unified battery repre","authors_text":"Guannan He, Hong Lu, Jiali Chen, Jingzhao Zhang, Minggao Ouyang, Xuebing Han","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-01T10:06:19Z","title":"Multitask Battery Management with Flexible Pretraining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01323","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":"sha256:85b254f7724c02f20b0ed4527ac3cc37c7e8cdd09a392721cf076c0da6af818b","target":"record","created_at":"2026-07-05T12:02:58Z","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":"d376964059119f2afd61164a768c3be1bd35b0e88cea57d7cef4239cbc023e96","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-01T10:06:19Z","title_canon_sha256":"249f5793cf4226c5c23c6ff9b71e54d5c5e4c01eb4b45b6a1b21a00d2005e3d6"},"schema_version":"1.0","source":{"id":"2509.01323","kind":"arxiv","version":1}},"canonical_sha256":"da1e99aede11a611102b46ced2976aecd6e8a8494aeacf843e32a58b05ea2de8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da1e99aede11a611102b46ced2976aecd6e8a8494aeacf843e32a58b05ea2de8","first_computed_at":"2026-07-05T12:02:58.262103Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:58.262103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oZKnL7tEl0KvQO+1IaMkyHcv2H3kydW7bigHabpg6jZ2uVy+gU8Meov9tjX4gMPnwEvPKiNC/GLIRH7SgWckAw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:58.262587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01323","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85b254f7724c02f20b0ed4527ac3cc37c7e8cdd09a392721cf076c0da6af818b","sha256:eb09bafcf3979a362ef4c6d713d014503807c10b18790677addbe938bbe322a9"],"state_sha256":"fd161f3ef4ff594c8228b02092818ed13cc0a598877a08c232715fa4258753d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4MvCvacTgQo4JGLTSneZuczB/6nOru86+CIZjdbjrxsa/0vUUp6a05prlZWF5Yqm/UiBDzgz3kkGbPhxmVXgCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:53:43.653130Z","bundle_sha256":"f491b0f71a84e1e33b8e71dbb9333f8ba77f2c2d9e732ddc3ca280533cdc74c3"}}