{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DLRWPYNGQ3JJHJ2IE3OB6WHOFA","short_pith_number":"pith:DLRWPYNG","canonical_record":{"source":{"id":"2410.10897","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-10-12T16:01:38Z","cross_cats_sorted":["cs.LG","physics.comp-ph"],"title_canon_sha256":"bba0b9a73cdf1c9115fee6ff6c991559d81a8a3819738f4c514cad5b9a2acacd","abstract_canon_sha256":"e99668da6fd5f07692640f9502db34fa2b41ccf4e2f2de3258791e763c06e3bf"},"schema_version":"1.0"},"canonical_sha256":"1ae367e1a686d293a74826dc1f58ee281d8a57898415eca959b97ba8f01ab450","source":{"kind":"arxiv","id":"2410.10897","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10897","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10897v1","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10897","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"pith_short_12","alias_value":"DLRWPYNGQ3JJ","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"pith_short_16","alias_value":"DLRWPYNGQ3JJHJ2I","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"pith_short_8","alias_value":"DLRWPYNG","created_at":"2026-07-05T09:20:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DLRWPYNGQ3JJHJ2IE3OB6WHOFA","target":"record","payload":{"canonical_record":{"source":{"id":"2410.10897","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-10-12T16:01:38Z","cross_cats_sorted":["cs.LG","physics.comp-ph"],"title_canon_sha256":"bba0b9a73cdf1c9115fee6ff6c991559d81a8a3819738f4c514cad5b9a2acacd","abstract_canon_sha256":"e99668da6fd5f07692640f9502db34fa2b41ccf4e2f2de3258791e763c06e3bf"},"schema_version":"1.0"},"canonical_sha256":"1ae367e1a686d293a74826dc1f58ee281d8a57898415eca959b97ba8f01ab450","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:20:26.630465Z","signature_b64":"EsDvBnIjzoWYGNkLa7ZZuwGkLhVwcvva/Ds+DN3SB78NAywkQ5v97S3lffmT1lL5uPKQqwETBxxbH+Oek2hkCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ae367e1a686d293a74826dc1f58ee281d8a57898415eca959b97ba8f01ab450","last_reissued_at":"2026-07-05T09:20:26.629960Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:20:26.629960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.10897","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":"2026-07-05T09:20:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qQHdMhPii3ZHU98QXJqEoS3nksaUZ9tofNQATmNhd+Ad2IE58crI5l+sY+O9N+v5JZzs8ZlBt7qBjvW0/XaZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:49:11.867623Z"},"content_sha256":"a51cc65af17cb21fccf05c01d0609d5e255476f7f18fe5241ad3e2037a0efd50","schema_version":"1.0","event_id":"sha256:a51cc65af17cb21fccf05c01d0609d5e255476f7f18fe5241ad3e2037a0efd50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DLRWPYNGQ3JJHJ2IE3OB6WHOFA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","physics.comp-ph"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Farinaz Mostajeran, Salah A Faroughi","submitted_at":"2024-10-12T16:01:38Z","abstract_excerpt":"Multilayer perceptron (MLP) networks are predominantly used to develop data-driven constitutive models for granular materials. They offer a compelling alternative to traditional physics-based constitutive models in predicting nonlinear responses of these materials, e.g., elasto-plasticity, under various loading conditions. To attain the necessary accuracy, MLPs often need to be sufficiently deep or wide, owing to the curse of dimensionality inherent in these problems. To overcome this limitation, we present an elasto-plasticity informed Chebyshev-based Kolmogorov-Arnold network (EPi-cKAN) in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10897","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.10897/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":"2026-07-05T09:20:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lKwdLOaOe5jkrbiVyfS1LtKnvr5beYjL5xMvfWcZACbiAvqiG3u/7DnOJ9GctSki8WRqDCQDhDEBCWpsxkLjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:49:11.868150Z"},"content_sha256":"2fcb17f549e26a651ffefae77c8f431cd61cee2e80fa9ebcdf016f1ddebd6725","schema_version":"1.0","event_id":"sha256:2fcb17f549e26a651ffefae77c8f431cd61cee2e80fa9ebcdf016f1ddebd6725"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA/bundle.json","state_url":"https://pith.science/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA/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":"2026-08-04T07:49:11Z","links":{"resolver":"https://pith.science/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA","bundle":"https://pith.science/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA/bundle.json","state":"https://pith.science/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DLRWPYNGQ3JJHJ2IE3OB6WHOFA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DLRWPYNGQ3JJHJ2IE3OB6WHOFA","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":"e99668da6fd5f07692640f9502db34fa2b41ccf4e2f2de3258791e763c06e3bf","cross_cats_sorted":["cs.LG","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-10-12T16:01:38Z","title_canon_sha256":"bba0b9a73cdf1c9115fee6ff6c991559d81a8a3819738f4c514cad5b9a2acacd"},"schema_version":"1.0","source":{"id":"2410.10897","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10897","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10897v1","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10897","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"pith_short_12","alias_value":"DLRWPYNGQ3JJ","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"pith_short_16","alias_value":"DLRWPYNGQ3JJHJ2I","created_at":"2026-07-05T09:20:26Z"},{"alias_kind":"pith_short_8","alias_value":"DLRWPYNG","created_at":"2026-07-05T09:20:26Z"}],"graph_snapshots":[{"event_id":"sha256:2fcb17f549e26a651ffefae77c8f431cd61cee2e80fa9ebcdf016f1ddebd6725","target":"graph","created_at":"2026-07-05T09:20:26Z","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/2410.10897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multilayer perceptron (MLP) networks are predominantly used to develop data-driven constitutive models for granular materials. They offer a compelling alternative to traditional physics-based constitutive models in predicting nonlinear responses of these materials, e.g., elasto-plasticity, under various loading conditions. To attain the necessary accuracy, MLPs often need to be sufficiently deep or wide, owing to the curse of dimensionality inherent in these problems. To overcome this limitation, we present an elasto-plasticity informed Chebyshev-based Kolmogorov-Arnold network (EPi-cKAN) in t","authors_text":"Farinaz Mostajeran, Salah A Faroughi","cross_cats":["cs.LG","physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-10-12T16:01:38Z","title":"EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10897","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:a51cc65af17cb21fccf05c01d0609d5e255476f7f18fe5241ad3e2037a0efd50","target":"record","created_at":"2026-07-05T09:20:26Z","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":"e99668da6fd5f07692640f9502db34fa2b41ccf4e2f2de3258791e763c06e3bf","cross_cats_sorted":["cs.LG","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-10-12T16:01:38Z","title_canon_sha256":"bba0b9a73cdf1c9115fee6ff6c991559d81a8a3819738f4c514cad5b9a2acacd"},"schema_version":"1.0","source":{"id":"2410.10897","kind":"arxiv","version":1}},"canonical_sha256":"1ae367e1a686d293a74826dc1f58ee281d8a57898415eca959b97ba8f01ab450","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ae367e1a686d293a74826dc1f58ee281d8a57898415eca959b97ba8f01ab450","first_computed_at":"2026-07-05T09:20:26.629960Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:20:26.629960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EsDvBnIjzoWYGNkLa7ZZuwGkLhVwcvva/Ds+DN3SB78NAywkQ5v97S3lffmT1lL5uPKQqwETBxxbH+Oek2hkCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:20:26.630465Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.10897","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a51cc65af17cb21fccf05c01d0609d5e255476f7f18fe5241ad3e2037a0efd50","sha256:2fcb17f549e26a651ffefae77c8f431cd61cee2e80fa9ebcdf016f1ddebd6725"],"state_sha256":"18e63d9c8c511cf91762838f2a20ed694077da54f5d2548d0239cfe4d0b7cd44"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BxkD3asKe7+BXgD7TyrKvM8+5PPT7ubYW9uk4B/5D/g4sOzOlQJ3hEMRqsEuUHdHPB2erQTgRy8QZlszfBMtCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T07:49:11.871862Z","bundle_sha256":"5baa92d7896b8e6e0c4b5bc4e5440ccc3c19fc1ed2bd6592ec8c5b8d7b735033"}}