{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:J4NM6A3DVKGO7TY3VNOUHXDF2I","short_pith_number":"pith:J4NM6A3D","schema_version":"1.0","canonical_sha256":"4f1acf0363aa8cefcf1bab5d43dc65d20d1040a21377a850f0826021ad421c4b","source":{"kind":"arxiv","id":"2510.00970","version":2},"attestation_state":"computed","paper":{"title":"Cumulant expansion approach to the decay dynamics of interacting M\\\"ossbauer nuclei after strong impulsive excitation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"J\\\"org Evers, Miriam Gerharz","submitted_at":"2025-10-01T14:41:14Z","abstract_excerpt":"Recent progress in accelerator-based x-ray sources brings higher excitation of ensembles of M\\\"ossbauer nuclei closer to experimental feasibility. Yet, a theoretical modeling of the decay dynamics of the interacting nuclear ensemble after the impulsive excitation is still an open challenge. Here, we derive a set of nonlinear equations which is capable of efficiently modeling large nuclear ensembles for arbitrary degrees of excitation. As key signature for higher excitation, we identify a non-linear time-evolution of the nuclear dipole phase, which can be tuned via the scattering geometry, and "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2510.00970","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-10-01T14:41:14Z","cross_cats_sorted":[],"title_canon_sha256":"aa919c1e6003681e05e04b9cf710dce6c05b16950442e51fd66380680af80450","abstract_canon_sha256":"17321a19fd50f207624f0392cf7352ceec92a25ccd2b2d5a056efc6cdb48fb45"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:31.548602Z","signature_b64":"k43cEpSPDRhfy6rimjj8zTg69RD5MxgYkv+MxaRJubYHb6x+tCRClbKgdidqLTeV/RXePQiQAmvaKgrbEQuLBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f1acf0363aa8cefcf1bab5d43dc65d20d1040a21377a850f0826021ad421c4b","last_reissued_at":"2026-06-19T16:10:31.548125Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:31.548125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cumulant expansion approach to the decay dynamics of interacting M\\\"ossbauer nuclei after strong impulsive excitation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"J\\\"org Evers, Miriam Gerharz","submitted_at":"2025-10-01T14:41:14Z","abstract_excerpt":"Recent progress in accelerator-based x-ray sources brings higher excitation of ensembles of M\\\"ossbauer nuclei closer to experimental feasibility. Yet, a theoretical modeling of the decay dynamics of the interacting nuclear ensemble after the impulsive excitation is still an open challenge. Here, we derive a set of nonlinear equations which is capable of efficiently modeling large nuclear ensembles for arbitrary degrees of excitation. As key signature for higher excitation, we identify a non-linear time-evolution of the nuclear dipole phase, which can be tuned via the scattering geometry, and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.00970","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/2510.00970/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2510.00970","created_at":"2026-06-19T16:10:31.548181+00:00"},{"alias_kind":"arxiv_version","alias_value":"2510.00970v2","created_at":"2026-06-19T16:10:31.548181+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.00970","created_at":"2026-06-19T16:10:31.548181+00:00"},{"alias_kind":"pith_short_12","alias_value":"J4NM6A3DVKGO","created_at":"2026-06-19T16:10:31.548181+00:00"},{"alias_kind":"pith_short_16","alias_value":"J4NM6A3DVKGO7TY3","created_at":"2026-06-19T16:10:31.548181+00:00"},{"alias_kind":"pith_short_8","alias_value":"J4NM6A3D","created_at":"2026-06-19T16:10:31.548181+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2606.18570","citing_title":"Streamlining Analysis and Design of Two-Dimensional Electronic Spectroscopy using Machine Learning","ref_index":128,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I","json":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I.json","graph_json":"https://pith.science/api/pith-number/J4NM6A3DVKGO7TY3VNOUHXDF2I/graph.json","events_json":"https://pith.science/api/pith-number/J4NM6A3DVKGO7TY3VNOUHXDF2I/events.json","paper":"https://pith.science/paper/J4NM6A3D"},"agent_actions":{"view_html":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I","download_json":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I.json","view_paper":"https://pith.science/paper/J4NM6A3D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2510.00970&json=true","fetch_graph":"https://pith.science/api/pith-number/J4NM6A3DVKGO7TY3VNOUHXDF2I/graph.json","fetch_events":"https://pith.science/api/pith-number/J4NM6A3DVKGO7TY3VNOUHXDF2I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I/action/storage_attestation","attest_author":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I/action/author_attestation","sign_citation":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I/action/citation_signature","submit_replication":"https://pith.science/pith/J4NM6A3DVKGO7TY3VNOUHXDF2I/action/replication_record"}},"created_at":"2026-06-19T16:10:31.548181+00:00","updated_at":"2026-06-19T16:10:31.548181+00:00"}