{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CNO6B4PPASZ54NVASPM5P45D4K","short_pith_number":"pith:CNO6B4PP","canonical_record":{"source":{"id":"2509.04923","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-09-05T08:41:24Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"421d034284c7e07702cac2db4a635e66656e44b1bf85e7d8dd4e949b4951f073","abstract_canon_sha256":"e35d2545ed1aa0308f8d98ceb875e551b9254468cb23de65ea6c59f9ece95cac"},"schema_version":"1.0"},"canonical_sha256":"135de0f1ef04b3de36a093d9d7f3a3e2b05031954c5999b0af5c5cd263d0cc95","source":{"kind":"arxiv","id":"2509.04923","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04923","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04923v1","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04923","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"pith_short_12","alias_value":"CNO6B4PPASZ5","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"pith_short_16","alias_value":"CNO6B4PPASZ54NVA","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"pith_short_8","alias_value":"CNO6B4PP","created_at":"2026-07-05T12:05:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CNO6B4PPASZ54NVASPM5P45D4K","target":"record","payload":{"canonical_record":{"source":{"id":"2509.04923","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-09-05T08:41:24Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"421d034284c7e07702cac2db4a635e66656e44b1bf85e7d8dd4e949b4951f073","abstract_canon_sha256":"e35d2545ed1aa0308f8d98ceb875e551b9254468cb23de65ea6c59f9ece95cac"},"schema_version":"1.0"},"canonical_sha256":"135de0f1ef04b3de36a093d9d7f3a3e2b05031954c5999b0af5c5cd263d0cc95","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:32.321078Z","signature_b64":"EQ5ZlZuK0S/D9efCP77cQgFSeXsTVRLwCIjIxkAtjhh7atpCfwOdQ6qKVwaigmKG4fqwvu17Cc8l5hWrSpENAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"135de0f1ef04b3de36a093d9d7f3a3e2b05031954c5999b0af5c5cd263d0cc95","last_reissued_at":"2026-07-05T12:05:32.320606Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:32.320606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.04923","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":"2026-07-05T12:05:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cMUagLfTLb6elW+Rzi03q4hWoNSJK+auHz4Stdp0mGD/3sfEDSI/HOwuaxNV6i7MskUFAHX23K1HpN9O7G20Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:53:36.858525Z"},"content_sha256":"9ea0a0265b90976487598ddaf8971efd63f67d64356a76a7cb34561aa8209079","schema_version":"1.0","event_id":"sha256:9ea0a0265b90976487598ddaf8971efd63f67d64356a76a7cb34561aa8209079"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CNO6B4PPASZ54NVASPM5P45D4K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Artificial intelligence for representing and characterizing quantum systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"quant-ph","authors_text":"Barry C. Sanders, Dacheng Tao, Giulio Chiribella, Jens Eisert, Min-Hsiu Hsieh, Patrick Rebentrost, WeiBo Gao, Ya-Dong Wu, Yan Zhu, Yuan-Hang Zhang, Yuxuan Du","submitted_at":"2025-09-05T08:41:24Z","abstract_excerpt":"Efficient characterization of large-scale quantum systems, especially those produced by quantum analog simulators and megaquop quantum computers, poses a central challenge in quantum science due to the exponential scaling of the Hilbert space with respect to system size. Recent advances in artificial intelligence (AI), with its aptitude for high-dimensional pattern recognition and function approximation, have emerged as a powerful tool to address this challenge. A growing body of research has leveraged AI to represent and characterize scalable quantum systems, spanning from theoretical foundat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04923","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/2509.04923/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":"2026-07-05T12:05:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FqLfRNil6j0NmX3o/uiBSE9CIAGrgM7Rn594V6QlmXiCF/tppTMFRKPNvrY+S+4qpnBzAMzRmkQ9CgH4WD0TCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:53:36.859027Z"},"content_sha256":"22ee3f2a88091613b497efe449e270fc53fc149ed437b3d68bef85f16867a514","schema_version":"1.0","event_id":"sha256:22ee3f2a88091613b497efe449e270fc53fc149ed437b3d68bef85f16867a514"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CNO6B4PPASZ54NVASPM5P45D4K/bundle.json","state_url":"https://pith.science/pith/CNO6B4PPASZ54NVASPM5P45D4K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CNO6B4PPASZ54NVASPM5P45D4K/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":"2026-08-05T12:53:36Z","links":{"resolver":"https://pith.science/pith/CNO6B4PPASZ54NVASPM5P45D4K","bundle":"https://pith.science/pith/CNO6B4PPASZ54NVASPM5P45D4K/bundle.json","state":"https://pith.science/pith/CNO6B4PPASZ54NVASPM5P45D4K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CNO6B4PPASZ54NVASPM5P45D4K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CNO6B4PPASZ54NVASPM5P45D4K","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":"e35d2545ed1aa0308f8d98ceb875e551b9254468cb23de65ea6c59f9ece95cac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-09-05T08:41:24Z","title_canon_sha256":"421d034284c7e07702cac2db4a635e66656e44b1bf85e7d8dd4e949b4951f073"},"schema_version":"1.0","source":{"id":"2509.04923","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04923","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04923v1","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04923","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"pith_short_12","alias_value":"CNO6B4PPASZ5","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"pith_short_16","alias_value":"CNO6B4PPASZ54NVA","created_at":"2026-07-05T12:05:32Z"},{"alias_kind":"pith_short_8","alias_value":"CNO6B4PP","created_at":"2026-07-05T12:05:32Z"}],"graph_snapshots":[{"event_id":"sha256:22ee3f2a88091613b497efe449e270fc53fc149ed437b3d68bef85f16867a514","target":"graph","created_at":"2026-07-05T12:05:32Z","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/2509.04923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Efficient characterization of large-scale quantum systems, especially those produced by quantum analog simulators and megaquop quantum computers, poses a central challenge in quantum science due to the exponential scaling of the Hilbert space with respect to system size. Recent advances in artificial intelligence (AI), with its aptitude for high-dimensional pattern recognition and function approximation, have emerged as a powerful tool to address this challenge. A growing body of research has leveraged AI to represent and characterize scalable quantum systems, spanning from theoretical foundat","authors_text":"Barry C. Sanders, Dacheng Tao, Giulio Chiribella, Jens Eisert, Min-Hsiu Hsieh, Patrick Rebentrost, WeiBo Gao, Ya-Dong Wu, Yan Zhu, Yuan-Hang Zhang, Yuxuan Du","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04923","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":"sha256:9ea0a0265b90976487598ddaf8971efd63f67d64356a76a7cb34561aa8209079","target":"record","created_at":"2026-07-05T12:05:32Z","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":"e35d2545ed1aa0308f8d98ceb875e551b9254468cb23de65ea6c59f9ece95cac","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-09-05T08:41:24Z","title_canon_sha256":"421d034284c7e07702cac2db4a635e66656e44b1bf85e7d8dd4e949b4951f073"},"schema_version":"1.0","source":{"id":"2509.04923","kind":"arxiv","version":1}},"canonical_sha256":"135de0f1ef04b3de36a093d9d7f3a3e2b05031954c5999b0af5c5cd263d0cc95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"135de0f1ef04b3de36a093d9d7f3a3e2b05031954c5999b0af5c5cd263d0cc95","first_computed_at":"2026-07-05T12:05:32.320606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:32.320606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EQ5ZlZuK0S/D9efCP77cQgFSeXsTVRLwCIjIxkAtjhh7atpCfwOdQ6qKVwaigmKG4fqwvu17Cc8l5hWrSpENAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:32.321078Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04923","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ea0a0265b90976487598ddaf8971efd63f67d64356a76a7cb34561aa8209079","sha256:22ee3f2a88091613b497efe449e270fc53fc149ed437b3d68bef85f16867a514"],"state_sha256":"d21c20738052f8d9c32e10650a04039073cbbe26028ceaae282ac5c8701fb557"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aUVBtJyCIL0jCuFlZW0NAqt0S4yoLS6To370gmyiECxWQ/p4NilWGlEx3XLVGxhfgjynqwvQUSqse2BEZ3wPDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:53:36.862863Z","bundle_sha256":"782736487ba0fec717647f47228b95936845d9b1a2aee283b15d236698953f40"}}