{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6AOHOH4H6ZDMP6UAPQT3MDZ7NT","short_pith_number":"pith:6AOHOH4H","canonical_record":{"source":{"id":"2408.16802","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-08-29T11:53:09Z","cross_cats_sorted":[],"title_canon_sha256":"a96579d1c2e8bbb5aa5bc3feeb75cc366752a6e6cb18f54d58f73b71309f3fba","abstract_canon_sha256":"6e260bd2bfd9ca117865285e224cc185196c90d632f358f27d6f3d8f67130433"},"schema_version":"1.0"},"canonical_sha256":"f01c771f87f646c7fa807c27b60f3f6cc91b1a76b5846a8daabd50cc7c603f28","source":{"kind":"arxiv","id":"2408.16802","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.16802","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"arxiv_version","alias_value":"2408.16802v4","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.16802","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"pith_short_12","alias_value":"6AOHOH4H6ZDM","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"pith_short_16","alias_value":"6AOHOH4H6ZDMP6UA","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"pith_short_8","alias_value":"6AOHOH4H","created_at":"2026-07-05T10:41:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6AOHOH4H6ZDMP6UAPQT3MDZ7NT","target":"record","payload":{"canonical_record":{"source":{"id":"2408.16802","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-08-29T11:53:09Z","cross_cats_sorted":[],"title_canon_sha256":"a96579d1c2e8bbb5aa5bc3feeb75cc366752a6e6cb18f54d58f73b71309f3fba","abstract_canon_sha256":"6e260bd2bfd9ca117865285e224cc185196c90d632f358f27d6f3d8f67130433"},"schema_version":"1.0"},"canonical_sha256":"f01c771f87f646c7fa807c27b60f3f6cc91b1a76b5846a8daabd50cc7c603f28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:41:14.936169Z","signature_b64":"enyLK+d3eWPn8NgKdbksRC4zIzCdHZeCM8hNMU1sOOTyB6Ig+cT/jh/WWEP+we/RYBL+UDt78rorqcjQC9KUBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f01c771f87f646c7fa807c27b60f3f6cc91b1a76b5846a8daabd50cc7c603f28","last_reissued_at":"2026-07-05T10:41:14.935681Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:41:14.935681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.16802","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:41:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FPPVFy4NCsva4FYIw/Gwx8QIbiPmO+bfG5EPRXM/4FQ1neqc9QartO+nHjhgknwcmV5IQ9dfA4aMZ6+H1XMhDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:14:07.054603Z"},"content_sha256":"e63af8c670133d044b94017799e61d4f1e5463f19590085632329bc1d1526d9a","schema_version":"1.0","event_id":"sha256:e63af8c670133d044b94017799e61d4f1e5463f19590085632329bc1d1526d9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6AOHOH4H6ZDMP6UAPQT3MDZ7NT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Auto-resolving the atomic structure at van der Waals interfaces using a generative model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Fangping Ouyang, Feng Liu, Jinguo Lin, Jin Zhang, Jun Cheng, Linfeng Zhang, Lin Yao, Shanshan Wang, Shen Zhou, Wenqiang Huang, Yuchen Jin, Yun Chen, Zhemin Li, Zheng Luo, Zhifeng Gao","submitted_at":"2024-08-29T11:53:09Z","abstract_excerpt":"The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materials. However, a rapid, accurate, and robust approach to automatically resolve complex patterns in atomic-resolution microscopy remains difficult to implement. Here, we present a Trident strategy-enhanced disentangled representation learning method (a generative model), which utilizes a few unlabelled experimental images with abundant low-cost simulated images to generate a large corpus of annotated simulation data th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.16802","kind":"arxiv","version":4},"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/2408.16802/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":"2026-07-05T10:41:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kDkHvC5rbcq1AwKAbB599dVymuYilt7LYCVjVfKT8vhn/QE2PxQS5HB+04yMefH85uDGMqz7k4xsapNMvzo0Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:14:07.055214Z"},"content_sha256":"6e3aebc07275a88277ff549cc7daef3d0144ab5437939a2aab94a81b7565e949","schema_version":"1.0","event_id":"sha256:6e3aebc07275a88277ff549cc7daef3d0144ab5437939a2aab94a81b7565e949"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT/bundle.json","state_url":"https://pith.science/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT/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":"2026-08-06T01:14:07Z","links":{"resolver":"https://pith.science/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT","bundle":"https://pith.science/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT/bundle.json","state":"https://pith.science/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6AOHOH4H6ZDMP6UAPQT3MDZ7NT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6AOHOH4H6ZDMP6UAPQT3MDZ7NT","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":"6e260bd2bfd9ca117865285e224cc185196c90d632f358f27d6f3d8f67130433","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-08-29T11:53:09Z","title_canon_sha256":"a96579d1c2e8bbb5aa5bc3feeb75cc366752a6e6cb18f54d58f73b71309f3fba"},"schema_version":"1.0","source":{"id":"2408.16802","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.16802","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"arxiv_version","alias_value":"2408.16802v4","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.16802","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"pith_short_12","alias_value":"6AOHOH4H6ZDM","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"pith_short_16","alias_value":"6AOHOH4H6ZDMP6UA","created_at":"2026-07-05T10:41:14Z"},{"alias_kind":"pith_short_8","alias_value":"6AOHOH4H","created_at":"2026-07-05T10:41:14Z"}],"graph_snapshots":[{"event_id":"sha256:6e3aebc07275a88277ff549cc7daef3d0144ab5437939a2aab94a81b7565e949","target":"graph","created_at":"2026-07-05T10:41:14Z","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/2408.16802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materials. However, a rapid, accurate, and robust approach to automatically resolve complex patterns in atomic-resolution microscopy remains difficult to implement. Here, we present a Trident strategy-enhanced disentangled representation learning method (a generative model), which utilizes a few unlabelled experimental images with abundant low-cost simulated images to generate a large corpus of annotated simulation data th","authors_text":"Fangping Ouyang, Feng Liu, Jinguo Lin, Jin Zhang, Jun Cheng, Linfeng Zhang, Lin Yao, Shanshan Wang, Shen Zhou, Wenqiang Huang, Yuchen Jin, Yun Chen, Zhemin Li, Zheng Luo, Zhifeng Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-08-29T11:53:09Z","title":"Auto-resolving the atomic structure at van der Waals interfaces using a generative model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.16802","kind":"arxiv","version":4},"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:e63af8c670133d044b94017799e61d4f1e5463f19590085632329bc1d1526d9a","target":"record","created_at":"2026-07-05T10:41:14Z","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":"6e260bd2bfd9ca117865285e224cc185196c90d632f358f27d6f3d8f67130433","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-08-29T11:53:09Z","title_canon_sha256":"a96579d1c2e8bbb5aa5bc3feeb75cc366752a6e6cb18f54d58f73b71309f3fba"},"schema_version":"1.0","source":{"id":"2408.16802","kind":"arxiv","version":4}},"canonical_sha256":"f01c771f87f646c7fa807c27b60f3f6cc91b1a76b5846a8daabd50cc7c603f28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f01c771f87f646c7fa807c27b60f3f6cc91b1a76b5846a8daabd50cc7c603f28","first_computed_at":"2026-07-05T10:41:14.935681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:41:14.935681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"enyLK+d3eWPn8NgKdbksRC4zIzCdHZeCM8hNMU1sOOTyB6Ig+cT/jh/WWEP+we/RYBL+UDt78rorqcjQC9KUBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:41:14.936169Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.16802","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e63af8c670133d044b94017799e61d4f1e5463f19590085632329bc1d1526d9a","sha256:6e3aebc07275a88277ff549cc7daef3d0144ab5437939a2aab94a81b7565e949"],"state_sha256":"31d52b476bf0ecd8eab47f62eda6ae5fbeb42a2883d2c93c56ae460464689a36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bEcHLxO1XqnkmoEVpfMzWp/6nEz7idXH7kRsSxoycWCIaTOebhCjMIOZAk66jhdPp2JXy7DOPLcXLf2+uAH4Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:14:07.060000Z","bundle_sha256":"9f60bc0907bd6c4a05db26f8c6aa28dcb108c3ac7116bd82ba6eaf44830da49f"}}