{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:TXRH4BFB7KU3F5R6F6TARXDW2C","short_pith_number":"pith:TXRH4BFB","canonical_record":{"source":{"id":"2606.29281","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2026-06-28T08:59:31Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"b4a5cca2fb06cddc3d1a7915bd95b98240bd2d08e4917cc6965cdfdb0015915c","abstract_canon_sha256":"7dba4ac7651f2a374320ebd5874f0ba5ee41475acf608d273a1fb10edc8906ea"},"schema_version":"1.0"},"canonical_sha256":"9de27e04a1faa9b2f63e2fa608dc76d088c13fb5a835bcd662978c994d44f2e3","source":{"kind":"arxiv","id":"2606.29281","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29281","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29281v1","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29281","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"TXRH4BFB7KU3","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"TXRH4BFB7KU3F5R6","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"TXRH4BFB","created_at":"2026-06-30T01:18:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:TXRH4BFB7KU3F5R6F6TARXDW2C","target":"record","payload":{"canonical_record":{"source":{"id":"2606.29281","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2026-06-28T08:59:31Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"b4a5cca2fb06cddc3d1a7915bd95b98240bd2d08e4917cc6965cdfdb0015915c","abstract_canon_sha256":"7dba4ac7651f2a374320ebd5874f0ba5ee41475acf608d273a1fb10edc8906ea"},"schema_version":"1.0"},"canonical_sha256":"9de27e04a1faa9b2f63e2fa608dc76d088c13fb5a835bcd662978c994d44f2e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:18:00.143370Z","signature_b64":"HAY7Z3N6LZsqlIVERXmUUzOZlzvAzPaq6+N7OS8cRheBQtwxBxusEvGUyx8br8KDIn1L9IRki1D11RhKpQ5EDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9de27e04a1faa9b2f63e2fa608dc76d088c13fb5a835bcd662978c994d44f2e3","last_reissued_at":"2026-06-30T01:18:00.142880Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:18:00.142880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.29281","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":"2026-06-30T01:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"usUnerKyMG2APo6Rup1RSCthMKyrNN7TaJHP4o5FRqpoPzPuHqFYiwBbtJoA10hlFaUCZpbXkn63WjwxXlSCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T20:16:25.999086Z"},"content_sha256":"233de6beb57e3496519dc7a6c4535a485af5d5fd28d4174aaeb3974fdfdef4d3","schema_version":"1.0","event_id":"sha256:233de6beb57e3496519dc7a6c4535a485af5d5fd28d4174aaeb3974fdfdef4d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:TXRH4BFB7KU3F5R6F6TARXDW2C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Inhomogeneous Heisenberg Hamiltonians in Nanographene Spin Chains","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"cond-mat.mes-hall","authors_text":"Cesare Roncaglia, Chenxiao Zhao, Daniele Passerone, Gon\\c{c}alo Catarina, Greta Lupi, Jose L. Lado, Pascal Ruffieux, Renxiang Liu, Roman Fasel, Saketh Ravuri, Weidan Zhang, Xinliang Feng","submitted_at":"2026-06-28T08:59:31Z","abstract_excerpt":"Inferring microscopic Hamiltonians from experimental data is a central challenge in quantum materials and quantum simulation. In low-dimensional spin systems, exchange interactions are often assumed to be spatially uniform, despite structural and environmental inhomogeneities that can locally modify the coupling. Here, we leverage a local, length-independent machine learning methodology to reconstruct spatially modulated exchange interactions directly from inelastic scanning tunneling spectroscopy maps. We demonstrate this approach with nanographene spin chains, identifying both near-uniform a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29281","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/2606.29281/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":"2026-06-30T01:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P/ycjnXROYdduRu2Jd3VyL4SQJILCg0Kl1LFzSFTzocoLRpksI/XYl4wmI4eEYRGbKJ6Dslh7uwd1mrmaR2vCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T20:16:25.999482Z"},"content_sha256":"15ce51a5084a1909575cb0bd21ca85d7a951d5ccb2ecb36f049f240c26795b7a","schema_version":"1.0","event_id":"sha256:15ce51a5084a1909575cb0bd21ca85d7a951d5ccb2ecb36f049f240c26795b7a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXRH4BFB7KU3F5R6F6TARXDW2C/bundle.json","state_url":"https://pith.science/pith/TXRH4BFB7KU3F5R6F6TARXDW2C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXRH4BFB7KU3F5R6F6TARXDW2C/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":"2026-06-30T20:16:26Z","links":{"resolver":"https://pith.science/pith/TXRH4BFB7KU3F5R6F6TARXDW2C","bundle":"https://pith.science/pith/TXRH4BFB7KU3F5R6F6TARXDW2C/bundle.json","state":"https://pith.science/pith/TXRH4BFB7KU3F5R6F6TARXDW2C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXRH4BFB7KU3F5R6F6TARXDW2C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TXRH4BFB7KU3F5R6F6TARXDW2C","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":"7dba4ac7651f2a374320ebd5874f0ba5ee41475acf608d273a1fb10edc8906ea","cross_cats_sorted":["quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2026-06-28T08:59:31Z","title_canon_sha256":"b4a5cca2fb06cddc3d1a7915bd95b98240bd2d08e4917cc6965cdfdb0015915c"},"schema_version":"1.0","source":{"id":"2606.29281","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29281","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29281v1","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29281","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"TXRH4BFB7KU3","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"TXRH4BFB7KU3F5R6","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"TXRH4BFB","created_at":"2026-06-30T01:18:00Z"}],"graph_snapshots":[{"event_id":"sha256:15ce51a5084a1909575cb0bd21ca85d7a951d5ccb2ecb36f049f240c26795b7a","target":"graph","created_at":"2026-06-30T01:18:00Z","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/2606.29281/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inferring microscopic Hamiltonians from experimental data is a central challenge in quantum materials and quantum simulation. In low-dimensional spin systems, exchange interactions are often assumed to be spatially uniform, despite structural and environmental inhomogeneities that can locally modify the coupling. Here, we leverage a local, length-independent machine learning methodology to reconstruct spatially modulated exchange interactions directly from inelastic scanning tunneling spectroscopy maps. We demonstrate this approach with nanographene spin chains, identifying both near-uniform a","authors_text":"Cesare Roncaglia, Chenxiao Zhao, Daniele Passerone, Gon\\c{c}alo Catarina, Greta Lupi, Jose L. Lado, Pascal Ruffieux, Renxiang Liu, Roman Fasel, Saketh Ravuri, Weidan Zhang, Xinliang Feng","cross_cats":["quant-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2026-06-28T08:59:31Z","title":"Learning Inhomogeneous Heisenberg Hamiltonians in Nanographene Spin Chains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29281","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":"sha256:233de6beb57e3496519dc7a6c4535a485af5d5fd28d4174aaeb3974fdfdef4d3","target":"record","created_at":"2026-06-30T01:18:00Z","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":"7dba4ac7651f2a374320ebd5874f0ba5ee41475acf608d273a1fb10edc8906ea","cross_cats_sorted":["quant-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2026-06-28T08:59:31Z","title_canon_sha256":"b4a5cca2fb06cddc3d1a7915bd95b98240bd2d08e4917cc6965cdfdb0015915c"},"schema_version":"1.0","source":{"id":"2606.29281","kind":"arxiv","version":1}},"canonical_sha256":"9de27e04a1faa9b2f63e2fa608dc76d088c13fb5a835bcd662978c994d44f2e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9de27e04a1faa9b2f63e2fa608dc76d088c13fb5a835bcd662978c994d44f2e3","first_computed_at":"2026-06-30T01:18:00.142880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:18:00.142880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HAY7Z3N6LZsqlIVERXmUUzOZlzvAzPaq6+N7OS8cRheBQtwxBxusEvGUyx8br8KDIn1L9IRki1D11RhKpQ5EDA==","signature_status":"signed_v1","signed_at":"2026-06-30T01:18:00.143370Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29281","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:233de6beb57e3496519dc7a6c4535a485af5d5fd28d4174aaeb3974fdfdef4d3","sha256:15ce51a5084a1909575cb0bd21ca85d7a951d5ccb2ecb36f049f240c26795b7a"],"state_sha256":"0fd824b054ef914d9833a756f558737b530a93ade4eae4056574d96fe0117a57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5C/uil7tvT50R5lyTtYhNX8vFVDijJ3kA/ad+MFKc/MhYF2FjME6TRy1mZKPdhuwK/cSmcVoD19h8L1LkM58CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T20:16:26.001639Z","bundle_sha256":"af8eca56e50aeca0b96422e0c7d23a4ac8d3164d860dbed925613fb4714a8289"}}