{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DBYSPX6U4KI2N4LYBZZV6C5MVM","short_pith_number":"pith:DBYSPX6U","canonical_record":{"source":{"id":"2303.07045","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.AP","submitted_at":"2023-03-13T12:12:22Z","cross_cats_sorted":[],"title_canon_sha256":"dd8380650d18d76f0420c7bb8a4eec72d08bf3bbf999bbd970b8622b3113e556","abstract_canon_sha256":"7617da21a170e3ecad1db740249e95e4d16082e45f7f1e95385682dde1b4effc"},"schema_version":"1.0"},"canonical_sha256":"187127dfd4e291a6f1780e735f0bacab0fe67bbdbf7bbb8f0d26c0c7323a1854","source":{"kind":"arxiv","id":"2303.07045","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07045","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07045v2","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07045","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"pith_short_12","alias_value":"DBYSPX6U4KI2","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"pith_short_16","alias_value":"DBYSPX6U4KI2N4LY","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"pith_short_8","alias_value":"DBYSPX6U","created_at":"2026-07-05T06:23:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DBYSPX6U4KI2N4LYBZZV6C5MVM","target":"record","payload":{"canonical_record":{"source":{"id":"2303.07045","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.AP","submitted_at":"2023-03-13T12:12:22Z","cross_cats_sorted":[],"title_canon_sha256":"dd8380650d18d76f0420c7bb8a4eec72d08bf3bbf999bbd970b8622b3113e556","abstract_canon_sha256":"7617da21a170e3ecad1db740249e95e4d16082e45f7f1e95385682dde1b4effc"},"schema_version":"1.0"},"canonical_sha256":"187127dfd4e291a6f1780e735f0bacab0fe67bbdbf7bbb8f0d26c0c7323a1854","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:23:59.566148Z","signature_b64":"kbCLxbrAw7Yos49z4bfp87AJp/3fluVSlnTC3FBmjLxPFQpi6SVuP9QAGvzI3lvQO5k+E11gz1lOpcmxKR+1AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"187127dfd4e291a6f1780e735f0bacab0fe67bbdbf7bbb8f0d26c0c7323a1854","last_reissued_at":"2026-07-05T06:23:59.565685Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:23:59.565685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.07045","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":"2026-07-05T06:23:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cXRFcDpXSKNUm7zgA7SDt9dunhvWWe/EEuxofNPb3AvO7Nbrk7qF1uO89cZK0nHjZOhOSMW3aE58Rhq40xW+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T21:09:40.572021Z"},"content_sha256":"924bf56d0e1160d742b76397b842f725061e0a86f301bf93bb07970ec768b0f1","schema_version":"1.0","event_id":"sha256:924bf56d0e1160d742b76397b842f725061e0a86f301bf93bb07970ec768b0f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DBYSPX6U4KI2N4LYBZZV6C5MVM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Approach to Micromechanical Parameter Identification Using Integrated Digital Image Correlation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.AP","authors_text":"Ivana Pultarov\\'a, Jan Havelka, Jan Zeman, Liya Gaynutdinova, Ond\\v{r}ej Roko\\v{s}","submitted_at":"2023-03-13T12:12:22Z","abstract_excerpt":"Materials with heterogeneous structures exhibit complex physical processes such as delamination, cracks, and plasticity, which require micromechanical parameters for understanding. However, identifying these parameters is challenging due to micro-macro length scale differences, ambiguity in boundary conditions, and required high resolution, among others. While the Integrated Digital Image Correlation (IDIC) method is widely used for this purpose, it suffers from sensitivity to boundary data errors and limited identification of parameters within well-posed problems. To address these issues, a B"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07045","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/2303.07045/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":"2026-07-05T06:23:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nmbe/1GHg0mGjS/waTM3XdykV397HsRHE78OYEtjvfntg/kKD/G3r7E3snyYA3R/5wGkpdmi1zucbshdvn6LBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T21:09:40.572565Z"},"content_sha256":"44cfbcd7faae9177cd9b42d3c353ea1627acc6beabc35a9f96d8b78828dc030e","schema_version":"1.0","event_id":"sha256:44cfbcd7faae9177cd9b42d3c353ea1627acc6beabc35a9f96d8b78828dc030e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM/bundle.json","state_url":"https://pith.science/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM/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":"2026-08-10T21:09:40Z","links":{"resolver":"https://pith.science/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM","bundle":"https://pith.science/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM/bundle.json","state":"https://pith.science/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DBYSPX6U4KI2N4LYBZZV6C5MVM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DBYSPX6U4KI2N4LYBZZV6C5MVM","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":"7617da21a170e3ecad1db740249e95e4d16082e45f7f1e95385682dde1b4effc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.AP","submitted_at":"2023-03-13T12:12:22Z","title_canon_sha256":"dd8380650d18d76f0420c7bb8a4eec72d08bf3bbf999bbd970b8622b3113e556"},"schema_version":"1.0","source":{"id":"2303.07045","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07045","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07045v2","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07045","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"pith_short_12","alias_value":"DBYSPX6U4KI2","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"pith_short_16","alias_value":"DBYSPX6U4KI2N4LY","created_at":"2026-07-05T06:23:59Z"},{"alias_kind":"pith_short_8","alias_value":"DBYSPX6U","created_at":"2026-07-05T06:23:59Z"}],"graph_snapshots":[{"event_id":"sha256:44cfbcd7faae9177cd9b42d3c353ea1627acc6beabc35a9f96d8b78828dc030e","target":"graph","created_at":"2026-07-05T06:23:59Z","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/2303.07045/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Materials with heterogeneous structures exhibit complex physical processes such as delamination, cracks, and plasticity, which require micromechanical parameters for understanding. However, identifying these parameters is challenging due to micro-macro length scale differences, ambiguity in boundary conditions, and required high resolution, among others. While the Integrated Digital Image Correlation (IDIC) method is widely used for this purpose, it suffers from sensitivity to boundary data errors and limited identification of parameters within well-posed problems. To address these issues, a B","authors_text":"Ivana Pultarov\\'a, Jan Havelka, Jan Zeman, Liya Gaynutdinova, Ond\\v{r}ej Roko\\v{s}","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.AP","submitted_at":"2023-03-13T12:12:22Z","title":"Bayesian Approach to Micromechanical Parameter Identification Using Integrated Digital Image Correlation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07045","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":"sha256:924bf56d0e1160d742b76397b842f725061e0a86f301bf93bb07970ec768b0f1","target":"record","created_at":"2026-07-05T06:23:59Z","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":"7617da21a170e3ecad1db740249e95e4d16082e45f7f1e95385682dde1b4effc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.AP","submitted_at":"2023-03-13T12:12:22Z","title_canon_sha256":"dd8380650d18d76f0420c7bb8a4eec72d08bf3bbf999bbd970b8622b3113e556"},"schema_version":"1.0","source":{"id":"2303.07045","kind":"arxiv","version":2}},"canonical_sha256":"187127dfd4e291a6f1780e735f0bacab0fe67bbdbf7bbb8f0d26c0c7323a1854","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"187127dfd4e291a6f1780e735f0bacab0fe67bbdbf7bbb8f0d26c0c7323a1854","first_computed_at":"2026-07-05T06:23:59.565685Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:23:59.565685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kbCLxbrAw7Yos49z4bfp87AJp/3fluVSlnTC3FBmjLxPFQpi6SVuP9QAGvzI3lvQO5k+E11gz1lOpcmxKR+1AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:23:59.566148Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.07045","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:924bf56d0e1160d742b76397b842f725061e0a86f301bf93bb07970ec768b0f1","sha256:44cfbcd7faae9177cd9b42d3c353ea1627acc6beabc35a9f96d8b78828dc030e"],"state_sha256":"9495f5585149c18c3ca77b8865f49ef0ab4237f278e77f78e5c23372d59fd5b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0V1TbwOLhqqQu7GZ4/iqCWVr31l3gLwQQ2m3+jusHjIh5k/3Z5BA5ARKdTqcEB6epAioqg5vnFBpyUG7yTfVAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T21:09:40.576859Z","bundle_sha256":"999eb35149e1216711d7596398becca12b71505fed1de4f1fb07d96ac5223b97"}}