{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:DWEEXJ5MSZICNPWBWN6QYXT7J5","short_pith_number":"pith:DWEEXJ5M","schema_version":"1.0","canonical_sha256":"1d884ba7ac965026bec1b37d0c5e7f4f7cf736daf7ad44e6ad156279cdf37c9d","source":{"kind":"arxiv","id":"1707.08218","version":1},"attestation_state":"computed","paper":{"title":"Statistical ensembles without typicality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"quant-ph","authors_text":"Henrik Wilming, Jens Eisert, Paul Boes, Rodrigo Gallego","submitted_at":"2017-07-25T21:01:29Z","abstract_excerpt":"Maximum-entropy ensembles are key primitives in statistical mechanics from which thermodynamic properties can be derived. Over the decades, several approaches have been put forward in order to justify from minimal assumptions the use of these ensembles in statistical descriptions. However, there is still no full consensus on the precise reasoning justifying the use of such ensembles. In this work, we provide a new approach to derive maximum-entropy ensembles taking a strictly operational perspective. We investigate the set of possible transitions that a system can undergo together with an envi"},"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":"1707.08218","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2017-07-25T21:01:29Z","cross_cats_sorted":["cond-mat.stat-mech"],"title_canon_sha256":"104464eb9909046081412f7de1602fece21c3ced10258c7b1527438dba1cbd44","abstract_canon_sha256":"a3b915f81ce3f991e7ede1bc7db6b39d8662d130ea2507835f040670a19dcf7f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:21:34.850493Z","signature_b64":"Iab7TOm8GZpPCOwdm4ORsTM4r0zcCdBZcTB5Ik1oihIbfGPLGY0VlIKJv3ESiYhS9uaYQJcs/x7v3pcYTIgHBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d884ba7ac965026bec1b37d0c5e7f4f7cf736daf7ad44e6ad156279cdf37c9d","last_reissued_at":"2026-05-18T00:21:34.849760Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:21:34.849760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Statistical ensembles without typicality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"quant-ph","authors_text":"Henrik Wilming, Jens Eisert, Paul Boes, Rodrigo Gallego","submitted_at":"2017-07-25T21:01:29Z","abstract_excerpt":"Maximum-entropy ensembles are key primitives in statistical mechanics from which thermodynamic properties can be derived. Over the decades, several approaches have been put forward in order to justify from minimal assumptions the use of these ensembles in statistical descriptions. However, there is still no full consensus on the precise reasoning justifying the use of such ensembles. In this work, we provide a new approach to derive maximum-entropy ensembles taking a strictly operational perspective. We investigate the set of possible transitions that a system can undergo together with an envi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.08218","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":""},"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":"1707.08218","created_at":"2026-05-18T00:21:34.849874+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.08218v1","created_at":"2026-05-18T00:21:34.849874+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.08218","created_at":"2026-05-18T00:21:34.849874+00:00"},{"alias_kind":"pith_short_12","alias_value":"DWEEXJ5MSZIC","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_16","alias_value":"DWEEXJ5MSZICNPWB","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_8","alias_value":"DWEEXJ5M","created_at":"2026-05-18T12:31:12.930513+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5","json":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5.json","graph_json":"https://pith.science/api/pith-number/DWEEXJ5MSZICNPWBWN6QYXT7J5/graph.json","events_json":"https://pith.science/api/pith-number/DWEEXJ5MSZICNPWBWN6QYXT7J5/events.json","paper":"https://pith.science/paper/DWEEXJ5M"},"agent_actions":{"view_html":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5","download_json":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5.json","view_paper":"https://pith.science/paper/DWEEXJ5M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.08218&json=true","fetch_graph":"https://pith.science/api/pith-number/DWEEXJ5MSZICNPWBWN6QYXT7J5/graph.json","fetch_events":"https://pith.science/api/pith-number/DWEEXJ5MSZICNPWBWN6QYXT7J5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5/action/storage_attestation","attest_author":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5/action/author_attestation","sign_citation":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5/action/citation_signature","submit_replication":"https://pith.science/pith/DWEEXJ5MSZICNPWBWN6QYXT7J5/action/replication_record"}},"created_at":"2026-05-18T00:21:34.849874+00:00","updated_at":"2026-05-18T00:21:34.849874+00:00"}