{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:FQ2I6TD6GECHADDCUWHKK5NDBL","short_pith_number":"pith:FQ2I6TD6","canonical_record":{"source":{"id":"2607.27430","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T19:57:50Z","cross_cats_sorted":[],"title_canon_sha256":"4704629945a26999a38dff4efc064ab8aaf71faf1b2b8fe40cdaa8ac69ed8d90","abstract_canon_sha256":"7371f3a7768d46bc37f6a7906acc2f5c631166dd0b5cde9b59dad2c1a0e86506"},"schema_version":"1.0"},"canonical_sha256":"2c348f4c7e3104700c62a58ea575a30ad4145fc4f3bfea7a9da23824e172ceb8","source":{"kind":"arxiv","id":"2607.27430","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27430","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27430v1","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27430","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"pith_short_12","alias_value":"FQ2I6TD6GECH","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"pith_short_16","alias_value":"FQ2I6TD6GECHADDC","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"pith_short_8","alias_value":"FQ2I6TD6","created_at":"2026-07-31T00:12:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:FQ2I6TD6GECHADDCUWHKK5NDBL","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27430","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T19:57:50Z","cross_cats_sorted":[],"title_canon_sha256":"4704629945a26999a38dff4efc064ab8aaf71faf1b2b8fe40cdaa8ac69ed8d90","abstract_canon_sha256":"7371f3a7768d46bc37f6a7906acc2f5c631166dd0b5cde9b59dad2c1a0e86506"},"schema_version":"1.0"},"canonical_sha256":"2c348f4c7e3104700c62a58ea575a30ad4145fc4f3bfea7a9da23824e172ceb8","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c348f4c7e3104700c62a58ea575a30ad4145fc4f3bfea7a9da23824e172ceb8","last_reissued_at":"2026-07-31T00:12:00.813685Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T00:12:00.813685Z"},"source_kind":"arxiv","source_id":"2607.27430","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":"2026-07-31T00:12:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3jg6EjmQBRQXmjol50pMD4l9DZj7T7hMHGiWmWjhvZlllTTfVBPPPi7I7kdyoOGai1mgWGYqa4ZjT5fB43QjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T12:21:51.691689Z"},"content_sha256":"a21666e423c3df15e9716c7c21f07443d470e09fdfd5a1bea4965b0a258b8963","schema_version":"1.0","event_id":"sha256:a21666e423c3df15e9716c7c21f07443d470e09fdfd5a1bea4965b0a258b8963"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:FQ2I6TD6GECHADDCUWHKK5NDBL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decoding the Micromagnetic Hamiltonian from Magnetic Fingerprints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Amy Y. Liu, Anqi Liu, Bradley J. Fugetta, Gen Yin, Kai Liu","submitted_at":"2026-07-29T19:57:50Z","abstract_excerpt":"Extracting intrinsic magnetic Hamiltonians directly from magnetometry is challenging due to the high dimensionality of the parameter space and the degeneracy induced by ensemble averaging. Here, we introduce a collection of deep convolutional neural networks (CNNs) to extract the full phenomenological micromagnetic Hamiltonian directly from the magnetic fingerprints encoded within First-Order Reversal Curves (FORCs). We validate this approach via closed-loop verification, re-creating the input magnetometry for both simulated and experimental FORCs. To mitigate false positives, we deploy an `Al"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27430","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/2607.27430/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":"2026-07-31T00:12:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Khr0zPbIgIxLkoYGObRAxLaDTzQG6MaGZJHTIxShtbm7LIb4re1uKY1U7XkR4gNdQPuZndhJ41OxCgTlDKOxBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T12:21:51.692214Z"},"content_sha256":"b35e03b982660bd9b5b068540f1b7f19acb859d2d8b43deb15bf737cdb5aab2d","schema_version":"1.0","event_id":"sha256:b35e03b982660bd9b5b068540f1b7f19acb859d2d8b43deb15bf737cdb5aab2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FQ2I6TD6GECHADDCUWHKK5NDBL/bundle.json","state_url":"https://pith.science/pith/FQ2I6TD6GECHADDCUWHKK5NDBL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FQ2I6TD6GECHADDCUWHKK5NDBL/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":"2026-08-15T12:21:51Z","links":{"resolver":"https://pith.science/pith/FQ2I6TD6GECHADDCUWHKK5NDBL","bundle":"https://pith.science/pith/FQ2I6TD6GECHADDCUWHKK5NDBL/bundle.json","state":"https://pith.science/pith/FQ2I6TD6GECHADDCUWHKK5NDBL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FQ2I6TD6GECHADDCUWHKK5NDBL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FQ2I6TD6GECHADDCUWHKK5NDBL","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":"7371f3a7768d46bc37f6a7906acc2f5c631166dd0b5cde9b59dad2c1a0e86506","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T19:57:50Z","title_canon_sha256":"4704629945a26999a38dff4efc064ab8aaf71faf1b2b8fe40cdaa8ac69ed8d90"},"schema_version":"1.0","source":{"id":"2607.27430","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27430","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27430v1","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27430","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"pith_short_12","alias_value":"FQ2I6TD6GECH","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"pith_short_16","alias_value":"FQ2I6TD6GECHADDC","created_at":"2026-07-31T00:12:00Z"},{"alias_kind":"pith_short_8","alias_value":"FQ2I6TD6","created_at":"2026-07-31T00:12:00Z"}],"graph_snapshots":[{"event_id":"sha256:b35e03b982660bd9b5b068540f1b7f19acb859d2d8b43deb15bf737cdb5aab2d","target":"graph","created_at":"2026-07-31T00:12:00Z","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/2607.27430/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extracting intrinsic magnetic Hamiltonians directly from magnetometry is challenging due to the high dimensionality of the parameter space and the degeneracy induced by ensemble averaging. Here, we introduce a collection of deep convolutional neural networks (CNNs) to extract the full phenomenological micromagnetic Hamiltonian directly from the magnetic fingerprints encoded within First-Order Reversal Curves (FORCs). We validate this approach via closed-loop verification, re-creating the input magnetometry for both simulated and experimental FORCs. To mitigate false positives, we deploy an `Al","authors_text":"Amy Y. Liu, Anqi Liu, Bradley J. Fugetta, Gen Yin, Kai Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T19:57:50Z","title":"Decoding the Micromagnetic Hamiltonian from Magnetic Fingerprints"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27430","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:a21666e423c3df15e9716c7c21f07443d470e09fdfd5a1bea4965b0a258b8963","target":"record","created_at":"2026-07-31T00:12:00Z","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":"7371f3a7768d46bc37f6a7906acc2f5c631166dd0b5cde9b59dad2c1a0e86506","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-29T19:57:50Z","title_canon_sha256":"4704629945a26999a38dff4efc064ab8aaf71faf1b2b8fe40cdaa8ac69ed8d90"},"schema_version":"1.0","source":{"id":"2607.27430","kind":"arxiv","version":1}},"canonical_sha256":"2c348f4c7e3104700c62a58ea575a30ad4145fc4f3bfea7a9da23824e172ceb8","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c348f4c7e3104700c62a58ea575a30ad4145fc4f3bfea7a9da23824e172ceb8","first_computed_at":"2026-07-31T00:12:00.813685Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T00:12:00.813685Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27430","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a21666e423c3df15e9716c7c21f07443d470e09fdfd5a1bea4965b0a258b8963","sha256:b35e03b982660bd9b5b068540f1b7f19acb859d2d8b43deb15bf737cdb5aab2d"],"state_sha256":"555ecb9fef3638188402d376d60bbaef54a9dcc7663b89aed376ac228a2d0423"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wB5FILwvuyyjHwrzPLRTpqCFCYKR+fTh3ZZt0ZZeJBykhrS5vNOYikuZBkXcGzH4PH3QEQiU/1j5kC3R00oUAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T12:21:51.697618Z","bundle_sha256":"75242b1fdd48c24ab941d42ea893dbd8608202dea10b0c926a1d0737f27ad46c"}}