{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:POQROZZU74SRQT3QFAZFF4DSGV","short_pith_number":"pith:POQROZZU","canonical_record":{"source":{"id":"2409.11438","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-15T23:42:16Z","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.soft","cs.CV","cs.LG"],"title_canon_sha256":"efe680b3f4af02c8d2c0322adfd83232851f66f9bef67a4da4d79cd3a7d1b985","abstract_canon_sha256":"9ee8a7f0db408784e18a2a3325caf3acf4de0b73d1c45165d679136ecb95ef33"},"schema_version":"1.0"},"canonical_sha256":"7ba1176734ff25184f70283252f072355f6ccabdc80717968d8437f8f2c9f860","source":{"kind":"arxiv","id":"2409.11438","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11438","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11438v2","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11438","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"POQROZZU74SR","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"POQROZZU74SRQT3Q","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"POQROZZU","created_at":"2026-07-05T09:09:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:POQROZZU74SRQT3QFAZFF4DSGV","target":"record","payload":{"canonical_record":{"source":{"id":"2409.11438","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-15T23:42:16Z","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.soft","cs.CV","cs.LG"],"title_canon_sha256":"efe680b3f4af02c8d2c0322adfd83232851f66f9bef67a4da4d79cd3a7d1b985","abstract_canon_sha256":"9ee8a7f0db408784e18a2a3325caf3acf4de0b73d1c45165d679136ecb95ef33"},"schema_version":"1.0"},"canonical_sha256":"7ba1176734ff25184f70283252f072355f6ccabdc80717968d8437f8f2c9f860","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:26.351466Z","signature_b64":"Q0jdyt+jLBp7O8HQT+zTtSeoPRr0nrDAah0XbgvGefmKFwPaUgavd9yhtTX1mLnlBZTibPlPMVu/0D6Su8x/Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ba1176734ff25184f70283252f072355f6ccabdc80717968d8437f8f2c9f860","last_reissued_at":"2026-07-05T09:09:26.350980Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:26.350980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.11438","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iSPX7PNdi/dW7AXxor8vcvv97Yp1R2v+QlmocTP9XAtRztkk/Z5ft1T7SkWYLBgsavBqm5pskCNPWMvAi41VAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:40:07.961222Z"},"content_sha256":"05c0dd8abad205c505d0e54c7872fcd61a91369efd31593d15fb03d99932d667","schema_version":"1.0","event_id":"sha256:05c0dd8abad205c505d0e54c7872fcd61a91369efd31593d15fb03d99932d667"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:POQROZZU74SRQT3QFAZFF4DSGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","cond-mat.soft","cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Aanish Paruchuri, Arthi Jayaraman, Xiaodan Gu, Yunfei Wang","submitted_at":"2024-09-15T23:42:16Z","abstract_excerpt":"In this paper we present a new machine learning workflow with unsupervised learning techniques to identify domains within atomic force microscopy images obtained from polymer films. The goal of the workflow is to identify the spatial location of the two types of polymer domains with little to no manual intervention and calculate the domain size distributions which in turn can help qualify the phase separated state of the material as macrophase or microphase ordered or disordered domains. We briefly review existing approaches used in other fields, computer vision and signal processing that can "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11438","kind":"arxiv","version":2},"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/2409.11438/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":"2026-07-05T09:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z+Y2Uj5zbCH66lA5IFa6KEhK4fSpW8jgnW+Y0N7dgmwny0d8NR4F1MLnm5Ru0YD+MV3FIWQVWrLG1E7WbqZbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:40:07.961883Z"},"content_sha256":"30b6eb7ad57ee27e51262fa7a4d0e52c4875be159782cda685c5de68fdd3a860","schema_version":"1.0","event_id":"sha256:30b6eb7ad57ee27e51262fa7a4d0e52c4875be159782cda685c5de68fdd3a860"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/POQROZZU74SRQT3QFAZFF4DSGV/bundle.json","state_url":"https://pith.science/pith/POQROZZU74SRQT3QFAZFF4DSGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/POQROZZU74SRQT3QFAZFF4DSGV/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":"2026-07-07T06:40:07Z","links":{"resolver":"https://pith.science/pith/POQROZZU74SRQT3QFAZFF4DSGV","bundle":"https://pith.science/pith/POQROZZU74SRQT3QFAZFF4DSGV/bundle.json","state":"https://pith.science/pith/POQROZZU74SRQT3QFAZFF4DSGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/POQROZZU74SRQT3QFAZFF4DSGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:POQROZZU74SRQT3QFAZFF4DSGV","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":"9ee8a7f0db408784e18a2a3325caf3acf4de0b73d1c45165d679136ecb95ef33","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.soft","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-15T23:42:16Z","title_canon_sha256":"efe680b3f4af02c8d2c0322adfd83232851f66f9bef67a4da4d79cd3a7d1b985"},"schema_version":"1.0","source":{"id":"2409.11438","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11438","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11438v2","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11438","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"POQROZZU74SR","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"POQROZZU74SRQT3Q","created_at":"2026-07-05T09:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"POQROZZU","created_at":"2026-07-05T09:09:26Z"}],"graph_snapshots":[{"event_id":"sha256:30b6eb7ad57ee27e51262fa7a4d0e52c4875be159782cda685c5de68fdd3a860","target":"graph","created_at":"2026-07-05T09:09:26Z","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/2409.11438/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we present a new machine learning workflow with unsupervised learning techniques to identify domains within atomic force microscopy images obtained from polymer films. The goal of the workflow is to identify the spatial location of the two types of polymer domains with little to no manual intervention and calculate the domain size distributions which in turn can help qualify the phase separated state of the material as macrophase or microphase ordered or disordered domains. We briefly review existing approaches used in other fields, computer vision and signal processing that can ","authors_text":"Aanish Paruchuri, Arthi Jayaraman, Xiaodan Gu, Yunfei Wang","cross_cats":["cond-mat.mtrl-sci","cond-mat.soft","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-15T23:42:16Z","title":"Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11438","kind":"arxiv","version":2},"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":"sha256:05c0dd8abad205c505d0e54c7872fcd61a91369efd31593d15fb03d99932d667","target":"record","created_at":"2026-07-05T09:09:26Z","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":"9ee8a7f0db408784e18a2a3325caf3acf4de0b73d1c45165d679136ecb95ef33","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.soft","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-15T23:42:16Z","title_canon_sha256":"efe680b3f4af02c8d2c0322adfd83232851f66f9bef67a4da4d79cd3a7d1b985"},"schema_version":"1.0","source":{"id":"2409.11438","kind":"arxiv","version":2}},"canonical_sha256":"7ba1176734ff25184f70283252f072355f6ccabdc80717968d8437f8f2c9f860","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ba1176734ff25184f70283252f072355f6ccabdc80717968d8437f8f2c9f860","first_computed_at":"2026-07-05T09:09:26.350980Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:26.350980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q0jdyt+jLBp7O8HQT+zTtSeoPRr0nrDAah0XbgvGefmKFwPaUgavd9yhtTX1mLnlBZTibPlPMVu/0D6Su8x/Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:26.351466Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.11438","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05c0dd8abad205c505d0e54c7872fcd61a91369efd31593d15fb03d99932d667","sha256:30b6eb7ad57ee27e51262fa7a4d0e52c4875be159782cda685c5de68fdd3a860"],"state_sha256":"0c6a4d0178cdff90f9c3e4a553a5bfaaac00e43274b6f001cf4f4a4d947b4c4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"97KG/9BiHEH+4tFjGA5JtRdSm3rQQzkL8vZoxrMgpG4DbIMKELuX+BzJCjTJpS4s5bm+rq32Yw3GbEXxZIgoDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:40:07.965490Z","bundle_sha256":"72c911c0e6d50aa734695a1a875c0a82a34ea3a95d2c201b659603c8d3c3f8cc"}}