{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KLQTHMDQA3LURQXDGB4ODJ4HD2","short_pith_number":"pith:KLQTHMDQ","canonical_record":{"source":{"id":"2608.04959","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2026-08-05T15:31:06Z","cross_cats_sorted":["q-bio.PE","q-bio.QM"],"title_canon_sha256":"64a50250d8b3001a08edc963a2cd7dcf108f619424cf2c3af549a0ebd8aa82fd","abstract_canon_sha256":"eab3c9be8831ed8c304ffebc3fd072a5f5334082a1fd9085241fedcb857caee9"},"schema_version":"1.0"},"canonical_sha256":"52e133b07006d748c2e33078e1a7871eb32c68a493f669d9f8a5628ac2f7bec1","source":{"kind":"arxiv","id":"2608.04959","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04959","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04959v1","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04959","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"pith_short_12","alias_value":"KLQTHMDQA3LU","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"pith_short_16","alias_value":"KLQTHMDQA3LURQXD","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"pith_short_8","alias_value":"KLQTHMDQ","created_at":"2026-08-06T01:47:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KLQTHMDQA3LURQXDGB4ODJ4HD2","target":"record","payload":{"canonical_record":{"source":{"id":"2608.04959","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2026-08-05T15:31:06Z","cross_cats_sorted":["q-bio.PE","q-bio.QM"],"title_canon_sha256":"64a50250d8b3001a08edc963a2cd7dcf108f619424cf2c3af549a0ebd8aa82fd","abstract_canon_sha256":"eab3c9be8831ed8c304ffebc3fd072a5f5334082a1fd9085241fedcb857caee9"},"schema_version":"1.0"},"canonical_sha256":"52e133b07006d748c2e33078e1a7871eb32c68a493f669d9f8a5628ac2f7bec1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:47:49.160887Z","signature_b64":"Fc0rhIdnxhPuRQg05xpy7PRfAG0eJSYQtiV/wIyhY8R/HBlLxWS3KW7XsYmD5N/BpNpKbPNbteI+11ZuQ33qDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52e133b07006d748c2e33078e1a7871eb32c68a493f669d9f8a5628ac2f7bec1","last_reissued_at":"2026-08-06T01:47:49.159437Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:47:49.159437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.04959","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":"2026-08-06T01:47:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"izRlDHOI8KkoVic8ZAPPJdewlB/0u57nv7bbUaQw+CofgS/ze+Uk03lnVeh6aWNMG3f7tKqlrvXJwW4MHedSCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T09:35:04.511705Z"},"content_sha256":"05f3524d8d4bc418f05da36b54f8a76a32fc0573847d772afe8d95d33ff110b1","schema_version":"1.0","event_id":"sha256:05f3524d8d4bc418f05da36b54f8a76a32fc0573847d772afe8d95d33ff110b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KLQTHMDQA3LURQXDGB4ODJ4HD2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Parameter identification for predator-prey system with sparse data","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["q-bio.PE","q-bio.QM"],"primary_cat":"stat.ME","authors_text":"Eduard Campillo-Funollet, James Van Yperen","submitted_at":"2026-08-05T15:31:06Z","abstract_excerpt":"Parameter identification from observations of dynamical systems is a fundamental problem in population biology. Mechanistic models of ecological systems rely on optimization methods that require accurate initial guesses to guarantee convergence. In ecological applications, datasets contain observation noise and are collected at sparse time points. This sparsity creates irregular likelihoods that cause standard optimization methods to struggle, while the ordinary differential equation solvers can become stiff or unstable in certain regions of the parameter space. These instabilities cause long "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04959","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/2608.04959/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":"2026-08-06T01:47:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j9aCEU+7aocN2JPPmNFn7HXdtWH4vlPLPZim8GGn3q50pf/Qa64fS7Kmvc1bh5/2vMqOpZHY7LBKhuHFrAd6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T09:35:04.512685Z"},"content_sha256":"6cac45461cdce4b8f6c3c966e60d64de60b351da22be98ddc7605fd3118937d4","schema_version":"1.0","event_id":"sha256:6cac45461cdce4b8f6c3c966e60d64de60b351da22be98ddc7605fd3118937d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2/bundle.json","state_url":"https://pith.science/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2/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":"2026-08-12T09:35:04Z","links":{"resolver":"https://pith.science/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2","bundle":"https://pith.science/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2/bundle.json","state":"https://pith.science/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KLQTHMDQA3LURQXDGB4ODJ4HD2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KLQTHMDQA3LURQXDGB4ODJ4HD2","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":"eab3c9be8831ed8c304ffebc3fd072a5f5334082a1fd9085241fedcb857caee9","cross_cats_sorted":["q-bio.PE","q-bio.QM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2026-08-05T15:31:06Z","title_canon_sha256":"64a50250d8b3001a08edc963a2cd7dcf108f619424cf2c3af549a0ebd8aa82fd"},"schema_version":"1.0","source":{"id":"2608.04959","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04959","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04959v1","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04959","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"pith_short_12","alias_value":"KLQTHMDQA3LU","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"pith_short_16","alias_value":"KLQTHMDQA3LURQXD","created_at":"2026-08-06T01:47:49Z"},{"alias_kind":"pith_short_8","alias_value":"KLQTHMDQ","created_at":"2026-08-06T01:47:49Z"}],"graph_snapshots":[{"event_id":"sha256:6cac45461cdce4b8f6c3c966e60d64de60b351da22be98ddc7605fd3118937d4","target":"graph","created_at":"2026-08-06T01:47:49Z","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/2608.04959/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter identification from observations of dynamical systems is a fundamental problem in population biology. Mechanistic models of ecological systems rely on optimization methods that require accurate initial guesses to guarantee convergence. In ecological applications, datasets contain observation noise and are collected at sparse time points. This sparsity creates irregular likelihoods that cause standard optimization methods to struggle, while the ordinary differential equation solvers can become stiff or unstable in certain regions of the parameter space. These instabilities cause long ","authors_text":"Eduard Campillo-Funollet, James Van Yperen","cross_cats":["q-bio.PE","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2026-08-05T15:31:06Z","title":"Parameter identification for predator-prey system with sparse data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04959","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":"sha256:05f3524d8d4bc418f05da36b54f8a76a32fc0573847d772afe8d95d33ff110b1","target":"record","created_at":"2026-08-06T01:47:49Z","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":"eab3c9be8831ed8c304ffebc3fd072a5f5334082a1fd9085241fedcb857caee9","cross_cats_sorted":["q-bio.PE","q-bio.QM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2026-08-05T15:31:06Z","title_canon_sha256":"64a50250d8b3001a08edc963a2cd7dcf108f619424cf2c3af549a0ebd8aa82fd"},"schema_version":"1.0","source":{"id":"2608.04959","kind":"arxiv","version":1}},"canonical_sha256":"52e133b07006d748c2e33078e1a7871eb32c68a493f669d9f8a5628ac2f7bec1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52e133b07006d748c2e33078e1a7871eb32c68a493f669d9f8a5628ac2f7bec1","first_computed_at":"2026-08-06T01:47:49.159437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:47:49.159437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fc0rhIdnxhPuRQg05xpy7PRfAG0eJSYQtiV/wIyhY8R/HBlLxWS3KW7XsYmD5N/BpNpKbPNbteI+11ZuQ33qDw==","signature_status":"signed_v1","signed_at":"2026-08-06T01:47:49.160887Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04959","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05f3524d8d4bc418f05da36b54f8a76a32fc0573847d772afe8d95d33ff110b1","sha256:6cac45461cdce4b8f6c3c966e60d64de60b351da22be98ddc7605fd3118937d4"],"state_sha256":"c2d4f0a4e36aeb2f0f0552320a9531c1335a4a9c7a10ceeb5c36fe5311e3dce8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SdjSAbpGB58yKX0pHiO679R0ZsRVRVMDaJUrQhw46s/JH108131hfSSuWdNvb/MzRuJOJEKbQ3t74c5GunTODA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T09:35:04.518772Z","bundle_sha256":"0c86e4626726655807cccdc88cba4699ce50c89f7ff472314dd062e33d32a7ca"}}