{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:EZ3EUMIRHQLNYMFAFM4ZBBWXTB","short_pith_number":"pith:EZ3EUMIR","canonical_record":{"source":{"id":"1403.0510","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-03-03T18:22:01Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"c0003457697c3821b32f94d580affe1f70494b3d1bd115f98a4a7197d0b5d5be","abstract_canon_sha256":"9fe29f8c124e636030c3d7867de158d6d305e6e013eea66f5f6af02195f8ba65"},"schema_version":"1.0"},"canonical_sha256":"26764a31113c16dc30a02b399086d7985eb47906920e979f541525dbc4184a92","source":{"kind":"arxiv","id":"1403.0510","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.0510","created_at":"2026-05-18T02:57:06Z"},{"alias_kind":"arxiv_version","alias_value":"1403.0510v1","created_at":"2026-05-18T02:57:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.0510","created_at":"2026-05-18T02:57:06Z"},{"alias_kind":"pith_short_12","alias_value":"EZ3EUMIRHQLN","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"EZ3EUMIRHQLNYMFA","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"EZ3EUMIR","created_at":"2026-05-18T12:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:EZ3EUMIRHQLNYMFAFM4ZBBWXTB","target":"record","payload":{"canonical_record":{"source":{"id":"1403.0510","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-03-03T18:22:01Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"c0003457697c3821b32f94d580affe1f70494b3d1bd115f98a4a7197d0b5d5be","abstract_canon_sha256":"9fe29f8c124e636030c3d7867de158d6d305e6e013eea66f5f6af02195f8ba65"},"schema_version":"1.0"},"canonical_sha256":"26764a31113c16dc30a02b399086d7985eb47906920e979f541525dbc4184a92","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:57:06.105582Z","signature_b64":"JifA5TE2ThxTMP58Z/YKMNUR0eQ+RyPIZ6pZzQFWENvP6bScngEzYrSW3r9risM0KpkulDCtMowLhdmj/bR1BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26764a31113c16dc30a02b399086d7985eb47906920e979f541525dbc4184a92","last_reissued_at":"2026-05-18T02:57:06.104909Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:57:06.104909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.0510","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":"2026-05-18T02:57:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Le3ZNuY3uFDXtcQTjTntZV46UIxxBgbbpMqzkRnxKRFYCeQdvFItfklNdRm6vDrfYJpUX9uJn7uHPQhcblUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T05:15:28.159447Z"},"content_sha256":"a2819aa1a612328f2e6c2d923c48004100bd6f0b61ce2e760bd6e7bfc06fdfdf","schema_version":"1.0","event_id":"sha256:a2819aa1a612328f2e6c2d923c48004100bd6f0b61ce2e760bd6e7bfc06fdfdf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:EZ3EUMIRHQLNYMFAFM4ZBBWXTB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Density Estimation via Multiple Sequential Inversions of 2-D Images with Application in Electron Microscopy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"stat.AP","authors_text":"Dalia Chakrabarty, Fabio Rigat, Nare Gabrielyan, Richard Beanland, Shashi Paul","submitted_at":"2014-03-03T18:22:01Z","abstract_excerpt":"We present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a Scanning Electron Microscope. An image results from a sequence of projections of the convolution of the density function with the unknown microscopy correction function that we also learn from the data. We invoke a novel design of experiment, involving imaging at multiple values of the parameter that controls the sub-surface depth from which information about the density structure is carried, to result in the image. Real-life material densi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.0510","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":"2026-05-18T02:57:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9v9sV06Z48rObgcSoTiTzH5Gw59qRPsdvLZW9t9rsvmf7WsbnnvnzDUEJl2CGqcqqiSyysn+2RJkOMcWJRqLAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T05:15:28.159806Z"},"content_sha256":"e1751e9dacf3fb6ec3e56b87abef361eb464849669ebaa8b4a5c3f36b4cbb817","schema_version":"1.0","event_id":"sha256:e1751e9dacf3fb6ec3e56b87abef361eb464849669ebaa8b4a5c3f36b4cbb817"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB/bundle.json","state_url":"https://pith.science/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB/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":"2026-06-02T05:15:28Z","links":{"resolver":"https://pith.science/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB","bundle":"https://pith.science/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB/bundle.json","state":"https://pith.science/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZ3EUMIRHQLNYMFAFM4ZBBWXTB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:EZ3EUMIRHQLNYMFAFM4ZBBWXTB","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":"9fe29f8c124e636030c3d7867de158d6d305e6e013eea66f5f6af02195f8ba65","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-03-03T18:22:01Z","title_canon_sha256":"c0003457697c3821b32f94d580affe1f70494b3d1bd115f98a4a7197d0b5d5be"},"schema_version":"1.0","source":{"id":"1403.0510","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.0510","created_at":"2026-05-18T02:57:06Z"},{"alias_kind":"arxiv_version","alias_value":"1403.0510v1","created_at":"2026-05-18T02:57:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.0510","created_at":"2026-05-18T02:57:06Z"},{"alias_kind":"pith_short_12","alias_value":"EZ3EUMIRHQLN","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"EZ3EUMIRHQLNYMFA","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"EZ3EUMIR","created_at":"2026-05-18T12:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:e1751e9dacf3fb6ec3e56b87abef361eb464849669ebaa8b4a5c3f36b4cbb817","target":"graph","created_at":"2026-05-18T02:57:06Z","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 present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a Scanning Electron Microscope. An image results from a sequence of projections of the convolution of the density function with the unknown microscopy correction function that we also learn from the data. We invoke a novel design of experiment, involving imaging at multiple values of the parameter that controls the sub-surface depth from which information about the density structure is carried, to result in the image. Real-life material densi","authors_text":"Dalia Chakrabarty, Fabio Rigat, Nare Gabrielyan, Richard Beanland, Shashi Paul","cross_cats":["cond-mat.mtrl-sci"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-03-03T18:22:01Z","title":"Bayesian Density Estimation via Multiple Sequential Inversions of 2-D Images with Application in Electron Microscopy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.0510","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:a2819aa1a612328f2e6c2d923c48004100bd6f0b61ce2e760bd6e7bfc06fdfdf","target":"record","created_at":"2026-05-18T02:57:06Z","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":"9fe29f8c124e636030c3d7867de158d6d305e6e013eea66f5f6af02195f8ba65","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2014-03-03T18:22:01Z","title_canon_sha256":"c0003457697c3821b32f94d580affe1f70494b3d1bd115f98a4a7197d0b5d5be"},"schema_version":"1.0","source":{"id":"1403.0510","kind":"arxiv","version":1}},"canonical_sha256":"26764a31113c16dc30a02b399086d7985eb47906920e979f541525dbc4184a92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26764a31113c16dc30a02b399086d7985eb47906920e979f541525dbc4184a92","first_computed_at":"2026-05-18T02:57:06.104909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:57:06.104909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JifA5TE2ThxTMP58Z/YKMNUR0eQ+RyPIZ6pZzQFWENvP6bScngEzYrSW3r9risM0KpkulDCtMowLhdmj/bR1BA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:57:06.105582Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.0510","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2819aa1a612328f2e6c2d923c48004100bd6f0b61ce2e760bd6e7bfc06fdfdf","sha256:e1751e9dacf3fb6ec3e56b87abef361eb464849669ebaa8b4a5c3f36b4cbb817"],"state_sha256":"b2f94b83529ebf86a5576155edc58c1a2a398d2ef4ddd8d61a4a6257f4c0cbb2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dz8/fdwV0kFpLVcaHZ1bi9r2xzHAsfMjCjcKoLvZbqKjouCioCjuaWUpFtSyIrsmfeXH+jdWNZvldSnXJlnQDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T05:15:28.162150Z","bundle_sha256":"77a044aff11c7581f4e3791bd06b72fce1cb18e0f7dce38b0d12aece898a6567"}}