{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:P36PGI2MQME27KNCOST53IBWH4","short_pith_number":"pith:P36PGI2M","canonical_record":{"source":{"id":"2411.03285","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-05T17:34:03Z","cross_cats_sorted":[],"title_canon_sha256":"4dd944bbaa78830cb37a1c9d42fcaa6e6c01713a74a75dd25811ab2fb2486a9d","abstract_canon_sha256":"b68f9f8b44691a6b880870fd813e8827d3e68a6d2adfc70c522a15468a0d51e2"},"schema_version":"1.0"},"canonical_sha256":"7efcf3234c8309afa9a274a7dda0363f1ae04a5e01a14254b7421dae1ab93fef","source":{"kind":"arxiv","id":"2411.03285","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.03285","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"arxiv_version","alias_value":"2411.03285v2","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.03285","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"pith_short_12","alias_value":"P36PGI2MQME2","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"pith_short_16","alias_value":"P36PGI2MQME27KNC","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"pith_short_8","alias_value":"P36PGI2M","created_at":"2026-07-05T09:37:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:P36PGI2MQME27KNCOST53IBWH4","target":"record","payload":{"canonical_record":{"source":{"id":"2411.03285","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-05T17:34:03Z","cross_cats_sorted":[],"title_canon_sha256":"4dd944bbaa78830cb37a1c9d42fcaa6e6c01713a74a75dd25811ab2fb2486a9d","abstract_canon_sha256":"b68f9f8b44691a6b880870fd813e8827d3e68a6d2adfc70c522a15468a0d51e2"},"schema_version":"1.0"},"canonical_sha256":"7efcf3234c8309afa9a274a7dda0363f1ae04a5e01a14254b7421dae1ab93fef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:37:11.608639Z","signature_b64":"bRHPMoThc94f+BbCfzfWefivUj5LXawyTeyOWX6SyFkr3J+RSx677zOr0QIUcT/5+oRwekVKcG8JQyP7SRFWAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7efcf3234c8309afa9a274a7dda0363f1ae04a5e01a14254b7421dae1ab93fef","last_reissued_at":"2026-07-05T09:37:11.608161Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:37:11.608161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.03285","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:37:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2rdalxr1et69m5DFUlX1RucI7tFObYMYbs57vyk1TAIC7MZgM/0waXsxN6VzaO4rcXMLceQT546EfO+iifH/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:31:04.307001Z"},"content_sha256":"c2fc320976169adf24c79e5a999cb51dd42ed9e057cf17606b802b39c1abe4a3","schema_version":"1.0","event_id":"sha256:c2fc320976169adf24c79e5a999cb51dd42ed9e057cf17606b802b39c1abe4a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:P36PGI2MQME27KNCOST53IBWH4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Jian Yao, Yi-Zhuang You","submitted_at":"2024-11-05T17:34:03Z","abstract_excerpt":"We propose ShadowGPT, a novel approach for solving quantum many-body problems by learning from randomized measurement data collected from quantum experiments. The model is a generative pretrained transformer (GPT) trained on simulated classical shadow data of ground states of quantum Hamiltonians, obtained through randomized Pauli measurements. Once trained, the model can predict a range of ground state properties across the Hamiltonian parameter space. We demonstrate its effectiveness on the transverse-field Ising model and the $\\mathbb{Z}_2 \\times \\mathbb{Z}_2$ cluster-Ising model, accuratel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.03285","kind":"arxiv","version":2},"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/2411.03285/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":"2026-07-05T09:37:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GEyc5BC2em+sG/mzA1X18taCqJ6ePMJPjTMyDnGDQ4RdxtG4+dn/fSsD9yHXydx19R6Z2T8KcchrY4J9gp/7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:31:04.307500Z"},"content_sha256":"59e302c6c9b7f3beaba05d8b4f7afdce0ce93423010cdfb9a9267fda9000a5f4","schema_version":"1.0","event_id":"sha256:59e302c6c9b7f3beaba05d8b4f7afdce0ce93423010cdfb9a9267fda9000a5f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P36PGI2MQME27KNCOST53IBWH4/bundle.json","state_url":"https://pith.science/pith/P36PGI2MQME27KNCOST53IBWH4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P36PGI2MQME27KNCOST53IBWH4/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":"2026-08-06T21:31:04Z","links":{"resolver":"https://pith.science/pith/P36PGI2MQME27KNCOST53IBWH4","bundle":"https://pith.science/pith/P36PGI2MQME27KNCOST53IBWH4/bundle.json","state":"https://pith.science/pith/P36PGI2MQME27KNCOST53IBWH4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P36PGI2MQME27KNCOST53IBWH4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:P36PGI2MQME27KNCOST53IBWH4","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":"b68f9f8b44691a6b880870fd813e8827d3e68a6d2adfc70c522a15468a0d51e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-05T17:34:03Z","title_canon_sha256":"4dd944bbaa78830cb37a1c9d42fcaa6e6c01713a74a75dd25811ab2fb2486a9d"},"schema_version":"1.0","source":{"id":"2411.03285","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.03285","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"arxiv_version","alias_value":"2411.03285v2","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.03285","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"pith_short_12","alias_value":"P36PGI2MQME2","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"pith_short_16","alias_value":"P36PGI2MQME27KNC","created_at":"2026-07-05T09:37:11Z"},{"alias_kind":"pith_short_8","alias_value":"P36PGI2M","created_at":"2026-07-05T09:37:11Z"}],"graph_snapshots":[{"event_id":"sha256:59e302c6c9b7f3beaba05d8b4f7afdce0ce93423010cdfb9a9267fda9000a5f4","target":"graph","created_at":"2026-07-05T09:37:11Z","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/2411.03285/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose ShadowGPT, a novel approach for solving quantum many-body problems by learning from randomized measurement data collected from quantum experiments. The model is a generative pretrained transformer (GPT) trained on simulated classical shadow data of ground states of quantum Hamiltonians, obtained through randomized Pauli measurements. Once trained, the model can predict a range of ground state properties across the Hamiltonian parameter space. We demonstrate its effectiveness on the transverse-field Ising model and the $\\mathbb{Z}_2 \\times \\mathbb{Z}_2$ cluster-Ising model, accuratel","authors_text":"Jian Yao, Yi-Zhuang You","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-05T17:34:03Z","title":"ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.03285","kind":"arxiv","version":2},"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:c2fc320976169adf24c79e5a999cb51dd42ed9e057cf17606b802b39c1abe4a3","target":"record","created_at":"2026-07-05T09:37:11Z","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":"b68f9f8b44691a6b880870fd813e8827d3e68a6d2adfc70c522a15468a0d51e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-11-05T17:34:03Z","title_canon_sha256":"4dd944bbaa78830cb37a1c9d42fcaa6e6c01713a74a75dd25811ab2fb2486a9d"},"schema_version":"1.0","source":{"id":"2411.03285","kind":"arxiv","version":2}},"canonical_sha256":"7efcf3234c8309afa9a274a7dda0363f1ae04a5e01a14254b7421dae1ab93fef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7efcf3234c8309afa9a274a7dda0363f1ae04a5e01a14254b7421dae1ab93fef","first_computed_at":"2026-07-05T09:37:11.608161Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:37:11.608161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bRHPMoThc94f+BbCfzfWefivUj5LXawyTeyOWX6SyFkr3J+RSx677zOr0QIUcT/5+oRwekVKcG8JQyP7SRFWAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:37:11.608639Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.03285","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2fc320976169adf24c79e5a999cb51dd42ed9e057cf17606b802b39c1abe4a3","sha256:59e302c6c9b7f3beaba05d8b4f7afdce0ce93423010cdfb9a9267fda9000a5f4"],"state_sha256":"a114fe1d314fa9704f6644f196c82f830fb030018a980f2089f7554fd6fcb6ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KbUhToO7z6RVDGKhLkQGl9hBEd/PM7l1LFX9BXnwBQ4AWwjqBZACuGVnpfo/LbPv/SK47vsslGnuB0hmsX1ZDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:31:04.311586Z","bundle_sha256":"4c5b389cd3508c57e6a6c508ac3de071e0708234cb4b050ead44e9f0da93f549"}}