{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YCH34NDTJQLZ5VCZ7563F56WQ2","short_pith_number":"pith:YCH34NDT","canonical_record":{"source":{"id":"1704.01459","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-04-05T14:53:55Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech"],"title_canon_sha256":"a041e06354710a35780fcab5a7372d00cd7b62dca4d11ae0d8de27d4a6793019","abstract_canon_sha256":"bfa216ac44a2377d138f41a00384b7a95223a48cac3ffda8cf9e715e97476f53"},"schema_version":"1.0"},"canonical_sha256":"c08fbe34734c179ed459ff7db2f7d686b895f32f321b1eb32772702133e242b5","source":{"kind":"arxiv","id":"1704.01459","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.01459","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"arxiv_version","alias_value":"1704.01459v1","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01459","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"pith_short_12","alias_value":"YCH34NDTJQLZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YCH34NDTJQLZ5VCZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YCH34NDT","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YCH34NDTJQLZ5VCZ7563F56WQ2","target":"record","payload":{"canonical_record":{"source":{"id":"1704.01459","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-04-05T14:53:55Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech"],"title_canon_sha256":"a041e06354710a35780fcab5a7372d00cd7b62dca4d11ae0d8de27d4a6793019","abstract_canon_sha256":"bfa216ac44a2377d138f41a00384b7a95223a48cac3ffda8cf9e715e97476f53"},"schema_version":"1.0"},"canonical_sha256":"c08fbe34734c179ed459ff7db2f7d686b895f32f321b1eb32772702133e242b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:54.856676Z","signature_b64":"rmwDvT3g4Zooi2yzZD6I/IC9x0EBt/fsXeRO+/gjfltLImpyMbF9eQxZaBrUZF7KT3jK5Yd1is1kuZQApZFrCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c08fbe34734c179ed459ff7db2f7d686b895f32f321b1eb32772702133e242b5","last_reissued_at":"2026-05-18T00:46:54.856117Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:54.856117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.01459","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":"2026-05-18T00:46:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PE8oR3PSNzP1WfCHzjR0ADL/WOIjbPQ1tN96KUqPgbDYcTlsl/1fJWkDTbAYHaytLcDFLer6MfIyS8gI4HdBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T15:11:14.126207Z"},"content_sha256":"9018e7216b8027f88c28dd3ee829a87e8846406f5125a93832d7b547df41c313","schema_version":"1.0","event_id":"sha256:9018e7216b8027f88c28dd3ee829a87e8846406f5125a93832d7b547df41c313"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YCH34NDTJQLZ5VCZ7563F56WQ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Statistical properties of interaction parameter estimates in direct coupling analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech"],"primary_cat":"physics.data-an","authors_text":"Erik Aurell, Jukka Corander, Yingying Xu, Yoshiyuki Kabashima","submitted_at":"2017-04-05T14:53:55Z","abstract_excerpt":"We consider the statistical properties of interaction parameter estimates obtained by the direct coupling analysis (DCA) approach to learning interactions from large data sets. Assuming that the data are generated from a random background distribution, we determine the distribution of inferred interactions. Two inference methods are considered: the L2 regularized naive mean-field inference procedure (regularized least squares, RLS), and the pseudo-likelihood maximization (plmDCA). For RLS we also study a model where the data matrix elements are real numbers, identically and independently gener"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01459","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VPJgJ0PSr9Q7++gnhuAvbeMzBogFCA588G66JUJYa34Cr8TZCNqTtQuhOaOgrlk7LAOIiVPCEfljgpmGgXq7AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T15:11:14.126580Z"},"content_sha256":"63c2ff3e2a43453582e386ff0ee876b1b92504753001fc2cccef5d8cca458ca3","schema_version":"1.0","event_id":"sha256:63c2ff3e2a43453582e386ff0ee876b1b92504753001fc2cccef5d8cca458ca3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YCH34NDTJQLZ5VCZ7563F56WQ2/bundle.json","state_url":"https://pith.science/pith/YCH34NDTJQLZ5VCZ7563F56WQ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YCH34NDTJQLZ5VCZ7563F56WQ2/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":"2026-06-03T15:11:14Z","links":{"resolver":"https://pith.science/pith/YCH34NDTJQLZ5VCZ7563F56WQ2","bundle":"https://pith.science/pith/YCH34NDTJQLZ5VCZ7563F56WQ2/bundle.json","state":"https://pith.science/pith/YCH34NDTJQLZ5VCZ7563F56WQ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YCH34NDTJQLZ5VCZ7563F56WQ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YCH34NDTJQLZ5VCZ7563F56WQ2","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":"bfa216ac44a2377d138f41a00384b7a95223a48cac3ffda8cf9e715e97476f53","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-04-05T14:53:55Z","title_canon_sha256":"a041e06354710a35780fcab5a7372d00cd7b62dca4d11ae0d8de27d4a6793019"},"schema_version":"1.0","source":{"id":"1704.01459","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.01459","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"arxiv_version","alias_value":"1704.01459v1","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01459","created_at":"2026-05-18T00:46:54Z"},{"alias_kind":"pith_short_12","alias_value":"YCH34NDTJQLZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YCH34NDTJQLZ5VCZ","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YCH34NDT","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:63c2ff3e2a43453582e386ff0ee876b1b92504753001fc2cccef5d8cca458ca3","target":"graph","created_at":"2026-05-18T00:46:54Z","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"},"paper":{"abstract_excerpt":"We consider the statistical properties of interaction parameter estimates obtained by the direct coupling analysis (DCA) approach to learning interactions from large data sets. Assuming that the data are generated from a random background distribution, we determine the distribution of inferred interactions. Two inference methods are considered: the L2 regularized naive mean-field inference procedure (regularized least squares, RLS), and the pseudo-likelihood maximization (plmDCA). For RLS we also study a model where the data matrix elements are real numbers, identically and independently gener","authors_text":"Erik Aurell, Jukka Corander, Yingying Xu, Yoshiyuki Kabashima","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-04-05T14:53:55Z","title":"Statistical properties of interaction parameter estimates in direct coupling analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01459","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":"sha256:9018e7216b8027f88c28dd3ee829a87e8846406f5125a93832d7b547df41c313","target":"record","created_at":"2026-05-18T00:46:54Z","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":"bfa216ac44a2377d138f41a00384b7a95223a48cac3ffda8cf9e715e97476f53","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-04-05T14:53:55Z","title_canon_sha256":"a041e06354710a35780fcab5a7372d00cd7b62dca4d11ae0d8de27d4a6793019"},"schema_version":"1.0","source":{"id":"1704.01459","kind":"arxiv","version":1}},"canonical_sha256":"c08fbe34734c179ed459ff7db2f7d686b895f32f321b1eb32772702133e242b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c08fbe34734c179ed459ff7db2f7d686b895f32f321b1eb32772702133e242b5","first_computed_at":"2026-05-18T00:46:54.856117Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:54.856117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rmwDvT3g4Zooi2yzZD6I/IC9x0EBt/fsXeRO+/gjfltLImpyMbF9eQxZaBrUZF7KT3jK5Yd1is1kuZQApZFrCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:54.856676Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.01459","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9018e7216b8027f88c28dd3ee829a87e8846406f5125a93832d7b547df41c313","sha256:63c2ff3e2a43453582e386ff0ee876b1b92504753001fc2cccef5d8cca458ca3"],"state_sha256":"59edf118130496951e0d2229b216bdb5f96171ea72027e23718155ae3d1e3cc6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yJVc0m6eiKUrz2G82uP5PBqTeiqT4DEuvkbjRvm0Z+UpUsN06nsxMQsP4lTExRIN5Axd0NqG/rBvM+7UzjpvDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T15:11:14.128699Z","bundle_sha256":"2e6163f6f3ed5daf9b113177c314024459ce8e27677d26bd10a8ddb7d45478dd"}}