{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:77CRX53PJSWBNCEU2AU4OZHOI2","short_pith_number":"pith:77CRX53P","canonical_record":{"source":{"id":"2605.07559","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-08T10:34:02Z","cross_cats_sorted":["cond-mat.str-el"],"title_canon_sha256":"9e8a6e8833ebb23e5df71ccf3f1284a4417b7f76de7855df95bfcd0cdd3ef90e","abstract_canon_sha256":"e06b3a67534e14ec60f59d6d392a979b44c4ec4d46271d9fcfea4f23814f7530"},"schema_version":"1.0"},"canonical_sha256":"ffc51bf76f4cac168894d029c764ee46b6061a2d54becb0eed06774e1f1e2803","source":{"kind":"arxiv","id":"2605.07559","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.07559","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.07559v2","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.07559","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"pith_short_12","alias_value":"77CRX53PJSWB","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"pith_short_16","alias_value":"77CRX53PJSWBNCEU","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"pith_short_8","alias_value":"77CRX53P","created_at":"2026-05-20T00:05:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:77CRX53PJSWBNCEU2AU4OZHOI2","target":"record","payload":{"canonical_record":{"source":{"id":"2605.07559","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-08T10:34:02Z","cross_cats_sorted":["cond-mat.str-el"],"title_canon_sha256":"9e8a6e8833ebb23e5df71ccf3f1284a4417b7f76de7855df95bfcd0cdd3ef90e","abstract_canon_sha256":"e06b3a67534e14ec60f59d6d392a979b44c4ec4d46271d9fcfea4f23814f7530"},"schema_version":"1.0"},"canonical_sha256":"ffc51bf76f4cac168894d029c764ee46b6061a2d54becb0eed06774e1f1e2803","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:46.491326Z","signature_b64":"Jy7ETzsAnCjPiVA5w2mIDDz5b0oeoEVEXC0iy98Ae5ufQEGcBv0m3CQtBJ5V84BXbk9lk8W9h5rZFWtOwFhNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffc51bf76f4cac168894d029c764ee46b6061a2d54becb0eed06774e1f1e2803","last_reissued_at":"2026-05-20T00:05:46.490778Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:46.490778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.07559","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":"2026-05-20T00:05:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9BfFx3gGgAH5G5xpQVkDW3wBysnCzQ95d1kDHwUYbdNLR3L3tfoULVxlYXCxJVuZHXX4k0cMZVNxjjaJAM6LDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:48:23.282428Z"},"content_sha256":"05aa3daa7d9586e634db6f1470517eb512c3e76a1e2c92bcfe62ef2de6e5c5f9","schema_version":"1.0","event_id":"sha256:05aa3daa7d9586e634db6f1470517eb512c3e76a1e2c92bcfe62ef2de6e5c5f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:77CRX53PJSWBNCEU2AU4OZHOI2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"svPITE: A Python package for the state-vector-based probabilistic imaginary-time evolution algorithm","license":"http://creativecommons.org/licenses/by/4.0/","headline":"The svPITE Python package implements a state-vector version of probabilistic imaginary-time evolution to prepare ground states of quantum systems.","cross_cats":["cond-mat.str-el"],"primary_cat":"quant-ph","authors_text":"Pascal Sievers, Satoshi Ejima","submitted_at":"2026-05-08T10:34:02Z","abstract_excerpt":"We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the com"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the computation of spectral functions, such as the spin-spin dynamical structure factor.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the probabilistic imaginary-time evolution algorithm as implemented in the package correctly and efficiently prepares accurate ground states for the quantum systems of interest, and that the provided interoperability and benchmarking features function without significant hidden limitations or errors.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"svPITE is a Python package that provides state-vector and shot-based implementations of probabilistic imaginary-time evolution for quantum ground-state preparation along with parameter tuning and interoperability for dynamical studies.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"The svPITE Python package implements a state-vector version of probabilistic imaginary-time evolution to prepare ground states of quantum systems.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"724ef5ed297adad463ef1f818abc5141645cd39304ff02a7ab257ba7070dab8f"},"source":{"id":"2605.07559","kind":"arxiv","version":2},"verdict":{"id":"e12376df-0c7c-4ca9-9cc9-e2248863b05e","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-11T02:16:37.395283Z","strongest_claim":"We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the computation of spectral functions, such as the spin-spin dynamical structure factor.","one_line_summary":"svPITE is a Python package that provides state-vector and shot-based implementations of probabilistic imaginary-time evolution for quantum ground-state preparation along with parameter tuning and interoperability for dynamical studies.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the probabilistic imaginary-time evolution algorithm as implemented in the package correctly and efficiently prepares accurate ground states for the quantum systems of interest, and that the provided interoperability and benchmarking features function without significant hidden limitations or errors.","pith_extraction_headline":"The svPITE Python package implements a state-vector version of probabilistic imaginary-time evolution to prepare ground states of quantum systems."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.07559/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.570223Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T11:41:53.316639Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"d3ddb64a905a13ad90a6134a666cb668a978af0c49a8dab8f72468367818c50e"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":1,"snapshot_sha256":"dc0119747b29426162e63b6870833a4c5fe11c371b5a63f54b0fcbab099ca128"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"e12376df-0c7c-4ca9-9cc9-e2248863b05e"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:05:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GgAi1hPWnC3a2QNQbsFH8M6v+i9iJ45Z0nsaxnEGvJy7C9j/vD4OdpPIrVYlhdM+Yk8fXN5WVwNao9YAvV4vCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:48:23.283463Z"},"content_sha256":"cb52b267d75bd99bb1daae981c4f14b8d03d219a5e9a61413815e9292289a53f","schema_version":"1.0","event_id":"sha256:cb52b267d75bd99bb1daae981c4f14b8d03d219a5e9a61413815e9292289a53f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/77CRX53PJSWBNCEU2AU4OZHOI2/bundle.json","state_url":"https://pith.science/pith/77CRX53PJSWBNCEU2AU4OZHOI2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/77CRX53PJSWBNCEU2AU4OZHOI2/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":"2026-05-25T22:48:23Z","links":{"resolver":"https://pith.science/pith/77CRX53PJSWBNCEU2AU4OZHOI2","bundle":"https://pith.science/pith/77CRX53PJSWBNCEU2AU4OZHOI2/bundle.json","state":"https://pith.science/pith/77CRX53PJSWBNCEU2AU4OZHOI2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/77CRX53PJSWBNCEU2AU4OZHOI2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:77CRX53PJSWBNCEU2AU4OZHOI2","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":"e06b3a67534e14ec60f59d6d392a979b44c4ec4d46271d9fcfea4f23814f7530","cross_cats_sorted":["cond-mat.str-el"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-08T10:34:02Z","title_canon_sha256":"9e8a6e8833ebb23e5df71ccf3f1284a4417b7f76de7855df95bfcd0cdd3ef90e"},"schema_version":"1.0","source":{"id":"2605.07559","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.07559","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.07559v2","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.07559","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"pith_short_12","alias_value":"77CRX53PJSWB","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"pith_short_16","alias_value":"77CRX53PJSWBNCEU","created_at":"2026-05-20T00:05:46Z"},{"alias_kind":"pith_short_8","alias_value":"77CRX53P","created_at":"2026-05-20T00:05:46Z"}],"graph_snapshots":[{"event_id":"sha256:cb52b267d75bd99bb1daae981c4f14b8d03d219a5e9a61413815e9292289a53f","target":"graph","created_at":"2026-05-20T00:05:46Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the computation of spectral functions, such as the spin-spin dynamical structure factor."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the probabilistic imaginary-time evolution algorithm as implemented in the package correctly and efficiently prepares accurate ground states for the quantum systems of interest, and that the provided interoperability and benchmarking features function without significant hidden limitations or errors."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"svPITE is a Python package that provides state-vector and shot-based implementations of probabilistic imaginary-time evolution for quantum ground-state preparation along with parameter tuning and interoperability for dynamical studies."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"The svPITE Python package implements a state-vector version of probabilistic imaginary-time evolution to prepare ground states of quantum systems."}],"snapshot_sha256":"724ef5ed297adad463ef1f818abc5141645cd39304ff02a7ab257ba7070dab8f"},"formal_canon":{"evidence_count":1,"snapshot_sha256":"dc0119747b29426162e63b6870833a4c5fe11c371b5a63f54b0fcbab099ca128"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.570223Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T11:41:53.316639Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.07559/integrity.json","findings":[],"snapshot_sha256":"d3ddb64a905a13ad90a6134a666cb668a978af0c49a8dab8f72468367818c50e","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the com","authors_text":"Pascal Sievers, Satoshi Ejima","cross_cats":["cond-mat.str-el"],"headline":"The svPITE Python package implements a state-vector version of probabilistic imaginary-time evolution to prepare ground states of quantum systems.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-08T10:34:02Z","title":"svPITE: A Python package for the state-vector-based probabilistic imaginary-time evolution algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.07559","kind":"arxiv","version":2},"verdict":{"created_at":"2026-05-11T02:16:37.395283Z","id":"e12376df-0c7c-4ca9-9cc9-e2248863b05e","model_set":{"reader":"grok-4.3"},"one_line_summary":"svPITE is a Python package that provides state-vector and shot-based implementations of probabilistic imaginary-time evolution for quantum ground-state preparation along with parameter tuning and interoperability for dynamical studies.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"The svPITE Python package implements a state-vector version of probabilistic imaginary-time evolution to prepare ground states of quantum systems.","strongest_claim":"We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the computation of spectral functions, such as the spin-spin dynamical structure factor.","weakest_assumption":"That the probabilistic imaginary-time evolution algorithm as implemented in the package correctly and efficiently prepares accurate ground states for the quantum systems of interest, and that the provided interoperability and benchmarking features function without significant hidden limitations or errors."}},"verdict_id":"e12376df-0c7c-4ca9-9cc9-e2248863b05e"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:05aa3daa7d9586e634db6f1470517eb512c3e76a1e2c92bcfe62ef2de6e5c5f9","target":"record","created_at":"2026-05-20T00:05:46Z","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":"e06b3a67534e14ec60f59d6d392a979b44c4ec4d46271d9fcfea4f23814f7530","cross_cats_sorted":["cond-mat.str-el"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2026-05-08T10:34:02Z","title_canon_sha256":"9e8a6e8833ebb23e5df71ccf3f1284a4417b7f76de7855df95bfcd0cdd3ef90e"},"schema_version":"1.0","source":{"id":"2605.07559","kind":"arxiv","version":2}},"canonical_sha256":"ffc51bf76f4cac168894d029c764ee46b6061a2d54becb0eed06774e1f1e2803","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffc51bf76f4cac168894d029c764ee46b6061a2d54becb0eed06774e1f1e2803","first_computed_at":"2026-05-20T00:05:46.490778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:46.490778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jy7ETzsAnCjPiVA5w2mIDDz5b0oeoEVEXC0iy98Ae5ufQEGcBv0m3CQtBJ5V84BXbk9lk8W9h5rZFWtOwFhNCw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:46.491326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.07559","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05aa3daa7d9586e634db6f1470517eb512c3e76a1e2c92bcfe62ef2de6e5c5f9","sha256:cb52b267d75bd99bb1daae981c4f14b8d03d219a5e9a61413815e9292289a53f"],"state_sha256":"f528933a3339391c678b0f96c9e7cf7f82e8757c5f2a63c5adf92a20acc331ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AgyAIVeojSqEmnScAgyWrhPdsT5GUeLnVMLsaM1f7xInKUDGxG7XDKclmD5eqyktOoqJJip2QuHhHKl6B3d2Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T22:48:23.288388Z","bundle_sha256":"b8742083757b84071c3dee72161af6d4bb3f5980dbcad00be0948d7cdc7c8597"}}