{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QDMIQTJBSAECH6PEZMBSJBHARD","short_pith_number":"pith:QDMIQTJB","canonical_record":{"source":{"id":"2507.16696","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:31:16Z","cross_cats_sorted":["cs.AI","cs.MM","cs.SD"],"title_canon_sha256":"423e59084d73105e3913273f8bcd181b040a8c08a5237b6af45cd715458efc88","abstract_canon_sha256":"a7d98011ef6c3351e242733aa8d2310564b152b188353cd0ef8f98e53b0e4a15"},"schema_version":"1.0"},"canonical_sha256":"80d8884d21900823f9e4cb032484e088f4bec10e731867288ab1a91b14327998","source":{"kind":"arxiv","id":"2507.16696","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16696","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16696v3","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16696","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"pith_short_12","alias_value":"QDMIQTJBSAEC","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"pith_short_16","alias_value":"QDMIQTJBSAECH6PE","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"pith_short_8","alias_value":"QDMIQTJB","created_at":"2026-06-24T01:14:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QDMIQTJBSAECH6PEZMBSJBHARD","target":"record","payload":{"canonical_record":{"source":{"id":"2507.16696","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:31:16Z","cross_cats_sorted":["cs.AI","cs.MM","cs.SD"],"title_canon_sha256":"423e59084d73105e3913273f8bcd181b040a8c08a5237b6af45cd715458efc88","abstract_canon_sha256":"a7d98011ef6c3351e242733aa8d2310564b152b188353cd0ef8f98e53b0e4a15"},"schema_version":"1.0"},"canonical_sha256":"80d8884d21900823f9e4cb032484e088f4bec10e731867288ab1a91b14327998","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:14:21.347471Z","signature_b64":"oLL7upajCADQQqn/tG0nMGt4FW8RY3fuv07cjqozkIZ51rLvW/gHO7g7Lyjpllh4NTSS1n3E7wLQJhYkgxfKAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80d8884d21900823f9e4cb032484e088f4bec10e731867288ab1a91b14327998","last_reissued_at":"2026-06-24T01:14:21.347020Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:14:21.347020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.16696","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-24T01:14:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0q5u163+EyZuyt/llKULVm2DRUqadlfxdIWZoziPPGv4F0xwk09oewCalq61u2L5hUQusKVxnSqNh5AAZC4ZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T00:21:30.912819Z"},"content_sha256":"5596bd075a1070a6b06285c2704c75ff370e421d39535beab8d3aef8b8aaf4d2","schema_version":"1.0","event_id":"sha256:5596bd075a1070a6b06285c2704c75ff370e421d39535beab8d3aef8b8aaf4d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QDMIQTJBSAECH6PEZMBSJBHARD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MM","cs.SD"],"primary_cat":"cs.LG","authors_text":"Anbai Jiang, Bing Han, Jia Liu, Junjie Li, Pingyi Fan, Shuwei Zhang, Wei-Qiang Zhang, Wenrui Liang, Xie Chen, Xinhu Zheng, Yanmin Qian, Zhiqiang Lv","submitted_at":"2025-07-22T15:31:16Z","abstract_excerpt":"Industrial signal analysis is hindered by severe data heterogeneity, which we characterize as the M5 problem. Existing solutions rely on specialized models that lack robustness and scalability, while large-scale pre-training has rarely been investigated in this area. In this work, we derive a prioritized roadmap for the M5 problem and propose FISHER, a Foundation model for multi-modal Industrial Signal compreHEnsive Representation. To address the foremost multi-sampling-rate problem, FISHER utilizes a novel sub-band modeling approach that treats sampling rate increments as concatenated sub-ban"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16696","kind":"arxiv","version":3},"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/2507.16696/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":"2026-06-24T01:14:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mVtFVVVSpPVDaWLr32sNddCpUpNqlLuYRiQJ4gehxE3J7LPHhGXy7J+RENhD8U0B+6dSsrwsky9ONUfBoQA1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T00:21:30.913194Z"},"content_sha256":"92def2f133c4cd77a03be7550caa4e9e299cf748182809c527ebb19053d955d6","schema_version":"1.0","event_id":"sha256:92def2f133c4cd77a03be7550caa4e9e299cf748182809c527ebb19053d955d6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QDMIQTJBSAECH6PEZMBSJBHARD/bundle.json","state_url":"https://pith.science/pith/QDMIQTJBSAECH6PEZMBSJBHARD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QDMIQTJBSAECH6PEZMBSJBHARD/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":"2026-07-04T00:21:30Z","links":{"resolver":"https://pith.science/pith/QDMIQTJBSAECH6PEZMBSJBHARD","bundle":"https://pith.science/pith/QDMIQTJBSAECH6PEZMBSJBHARD/bundle.json","state":"https://pith.science/pith/QDMIQTJBSAECH6PEZMBSJBHARD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QDMIQTJBSAECH6PEZMBSJBHARD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QDMIQTJBSAECH6PEZMBSJBHARD","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":"a7d98011ef6c3351e242733aa8d2310564b152b188353cd0ef8f98e53b0e4a15","cross_cats_sorted":["cs.AI","cs.MM","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:31:16Z","title_canon_sha256":"423e59084d73105e3913273f8bcd181b040a8c08a5237b6af45cd715458efc88"},"schema_version":"1.0","source":{"id":"2507.16696","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16696","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16696v3","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16696","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"pith_short_12","alias_value":"QDMIQTJBSAEC","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"pith_short_16","alias_value":"QDMIQTJBSAECH6PE","created_at":"2026-06-24T01:14:21Z"},{"alias_kind":"pith_short_8","alias_value":"QDMIQTJB","created_at":"2026-06-24T01:14:21Z"}],"graph_snapshots":[{"event_id":"sha256:92def2f133c4cd77a03be7550caa4e9e299cf748182809c527ebb19053d955d6","target":"graph","created_at":"2026-06-24T01:14:21Z","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/2507.16696/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial signal analysis is hindered by severe data heterogeneity, which we characterize as the M5 problem. Existing solutions rely on specialized models that lack robustness and scalability, while large-scale pre-training has rarely been investigated in this area. In this work, we derive a prioritized roadmap for the M5 problem and propose FISHER, a Foundation model for multi-modal Industrial Signal compreHEnsive Representation. To address the foremost multi-sampling-rate problem, FISHER utilizes a novel sub-band modeling approach that treats sampling rate increments as concatenated sub-ban","authors_text":"Anbai Jiang, Bing Han, Jia Liu, Junjie Li, Pingyi Fan, Shuwei Zhang, Wei-Qiang Zhang, Wenrui Liang, Xie Chen, Xinhu Zheng, Yanmin Qian, Zhiqiang Lv","cross_cats":["cs.AI","cs.MM","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:31:16Z","title":"FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16696","kind":"arxiv","version":3},"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":"sha256:5596bd075a1070a6b06285c2704c75ff370e421d39535beab8d3aef8b8aaf4d2","target":"record","created_at":"2026-06-24T01:14:21Z","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":"a7d98011ef6c3351e242733aa8d2310564b152b188353cd0ef8f98e53b0e4a15","cross_cats_sorted":["cs.AI","cs.MM","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-22T15:31:16Z","title_canon_sha256":"423e59084d73105e3913273f8bcd181b040a8c08a5237b6af45cd715458efc88"},"schema_version":"1.0","source":{"id":"2507.16696","kind":"arxiv","version":3}},"canonical_sha256":"80d8884d21900823f9e4cb032484e088f4bec10e731867288ab1a91b14327998","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80d8884d21900823f9e4cb032484e088f4bec10e731867288ab1a91b14327998","first_computed_at":"2026-06-24T01:14:21.347020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T01:14:21.347020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oLL7upajCADQQqn/tG0nMGt4FW8RY3fuv07cjqozkIZ51rLvW/gHO7g7Lyjpllh4NTSS1n3E7wLQJhYkgxfKAQ==","signature_status":"signed_v1","signed_at":"2026-06-24T01:14:21.347471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16696","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5596bd075a1070a6b06285c2704c75ff370e421d39535beab8d3aef8b8aaf4d2","sha256:92def2f133c4cd77a03be7550caa4e9e299cf748182809c527ebb19053d955d6"],"state_sha256":"c151610844e07c502fbd589bc331d01f5d40747f28de02797e995ffc1286be83"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wNNZMZEK57+b0VqIwnPerCW7f/VdFxeqIXuhNYxAo/suxbRVD16a336fxJVxtr/u84nja/te6ubMcPrYCi3BBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T00:21:30.915186Z","bundle_sha256":"ec1ea48642991d3a6431925421c234c80066836743b2213453197218ec61fe71"}}