{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6HFHQ5KAOI4RWYINBNV73WEGE3","short_pith_number":"pith:6HFHQ5KA","canonical_record":{"source":{"id":"2505.24235","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T05:51:13Z","cross_cats_sorted":["stat.CO","stat.ML"],"title_canon_sha256":"97551df630af5f82fc328f70defc9f1364b431b6ed28dbb4db5a69330c5134b3","abstract_canon_sha256":"9457412ebb640eff150373d957140ef1d682ae63626d1d80e1da74c34cca4224"},"schema_version":"1.0"},"canonical_sha256":"f1ca78754072391b610d0b6bfdd88626e64e27eee68fa09476313e1f4022a9c5","source":{"kind":"arxiv","id":"2505.24235","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24235","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24235v1","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24235","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"6HFHQ5KAOI4R","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"6HFHQ5KAOI4RWYIN","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"6HFHQ5KA","created_at":"2026-07-05T11:12:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6HFHQ5KAOI4RWYINBNV73WEGE3","target":"record","payload":{"canonical_record":{"source":{"id":"2505.24235","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T05:51:13Z","cross_cats_sorted":["stat.CO","stat.ML"],"title_canon_sha256":"97551df630af5f82fc328f70defc9f1364b431b6ed28dbb4db5a69330c5134b3","abstract_canon_sha256":"9457412ebb640eff150373d957140ef1d682ae63626d1d80e1da74c34cca4224"},"schema_version":"1.0"},"canonical_sha256":"f1ca78754072391b610d0b6bfdd88626e64e27eee68fa09476313e1f4022a9c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:44.782416Z","signature_b64":"b0bG1o2JHofGGMsYVMb6L0qP+FKVEr742GA2fRi7LORd0N+2DhTNYdMkPee4jBSlWGyess4cbExMzuWgMvXgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1ca78754072391b610d0b6bfdd88626e64e27eee68fa09476313e1f4022a9c5","last_reissued_at":"2026-07-05T11:12:44.781869Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:44.781869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.24235","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":"2026-07-05T11:12:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"moPHF4Sx/Xa1jA3XaM2jWeEDfkg7Fh1vcqft8wHhDPeZXS+uG5wwFyON6lpldd49gY654Bja7e/mJWXCuid3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T14:18:10.509658Z"},"content_sha256":"6599ace107d50def20002130d8739368030fb533f746ac319a52f19830f2c19c","schema_version":"1.0","event_id":"sha256:6599ace107d50def20002130d8739368030fb533f746ac319a52f19830f2c19c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6HFHQ5KAOI4RWYINBNV73WEGE3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Alternate Groundwater Modelling Strategies: A Multi-Faceted Data-Driven Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.CO","stat.ML"],"primary_cat":"stat.AP","authors_text":"Agniva Das, Jong Min Kim, Muralidharan K., Shrey Pandya","submitted_at":"2025-05-30T05:51:13Z","abstract_excerpt":"The impact of statistical methodologies on studying groundwater has been significant in the last several decades, due to cheaper computational abilities and presence of technologies that enable us to extract and measure more and more data. This paper focuses on the validation of statistical methodologies that are in practice and continue to be at the earliest disposal of the researcher, demonstrating how traditional time-series models and modern neural networks may be a viable option to analyze and make viable forecasts from data commonly available in this domain, and suggesting a copula-based"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24235","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/2505.24235/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":"2026-07-05T11:12:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bug6ElEK7ZzhcMhNnnDDk3sbdCfyqb6GVJu7Gn0aViGFmmTUdYxOmvZMxtdWHzQSuBMTwy1W/GPxubMQU8HkBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T14:18:10.510530Z"},"content_sha256":"de816ba04a29b990211726b6bd8fba22f1e91d8f543962a57e0a94e5d95f16c2","schema_version":"1.0","event_id":"sha256:de816ba04a29b990211726b6bd8fba22f1e91d8f543962a57e0a94e5d95f16c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6HFHQ5KAOI4RWYINBNV73WEGE3/bundle.json","state_url":"https://pith.science/pith/6HFHQ5KAOI4RWYINBNV73WEGE3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6HFHQ5KAOI4RWYINBNV73WEGE3/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":"2026-08-13T14:18:10Z","links":{"resolver":"https://pith.science/pith/6HFHQ5KAOI4RWYINBNV73WEGE3","bundle":"https://pith.science/pith/6HFHQ5KAOI4RWYINBNV73WEGE3/bundle.json","state":"https://pith.science/pith/6HFHQ5KAOI4RWYINBNV73WEGE3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6HFHQ5KAOI4RWYINBNV73WEGE3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6HFHQ5KAOI4RWYINBNV73WEGE3","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":"9457412ebb640eff150373d957140ef1d682ae63626d1d80e1da74c34cca4224","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T05:51:13Z","title_canon_sha256":"97551df630af5f82fc328f70defc9f1364b431b6ed28dbb4db5a69330c5134b3"},"schema_version":"1.0","source":{"id":"2505.24235","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24235","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24235v1","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24235","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"6HFHQ5KAOI4R","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"6HFHQ5KAOI4RWYIN","created_at":"2026-07-05T11:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"6HFHQ5KA","created_at":"2026-07-05T11:12:44Z"}],"graph_snapshots":[{"event_id":"sha256:de816ba04a29b990211726b6bd8fba22f1e91d8f543962a57e0a94e5d95f16c2","target":"graph","created_at":"2026-07-05T11:12:44Z","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/2505.24235/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The impact of statistical methodologies on studying groundwater has been significant in the last several decades, due to cheaper computational abilities and presence of technologies that enable us to extract and measure more and more data. This paper focuses on the validation of statistical methodologies that are in practice and continue to be at the earliest disposal of the researcher, demonstrating how traditional time-series models and modern neural networks may be a viable option to analyze and make viable forecasts from data commonly available in this domain, and suggesting a copula-based","authors_text":"Agniva Das, Jong Min Kim, Muralidharan K., Shrey Pandya","cross_cats":["stat.CO","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T05:51:13Z","title":"Alternate Groundwater Modelling Strategies: A Multi-Faceted Data-Driven Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24235","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":"sha256:6599ace107d50def20002130d8739368030fb533f746ac319a52f19830f2c19c","target":"record","created_at":"2026-07-05T11:12:44Z","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":"9457412ebb640eff150373d957140ef1d682ae63626d1d80e1da74c34cca4224","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-05-30T05:51:13Z","title_canon_sha256":"97551df630af5f82fc328f70defc9f1364b431b6ed28dbb4db5a69330c5134b3"},"schema_version":"1.0","source":{"id":"2505.24235","kind":"arxiv","version":1}},"canonical_sha256":"f1ca78754072391b610d0b6bfdd88626e64e27eee68fa09476313e1f4022a9c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1ca78754072391b610d0b6bfdd88626e64e27eee68fa09476313e1f4022a9c5","first_computed_at":"2026-07-05T11:12:44.781869Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:44.781869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b0bG1o2JHofGGMsYVMb6L0qP+FKVEr742GA2fRi7LORd0N+2DhTNYdMkPee4jBSlWGyess4cbExMzuWgMvXgDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:44.782416Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24235","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6599ace107d50def20002130d8739368030fb533f746ac319a52f19830f2c19c","sha256:de816ba04a29b990211726b6bd8fba22f1e91d8f543962a57e0a94e5d95f16c2"],"state_sha256":"4462861c951ecc2e1f6dedfdf10abaa71d5e08eeb9d90ae766d4d0fcf77d4d4f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FF+5TVIUsPU3zDIcFR8cfiFoi3cB4pDmc/PrKEG1pFPR5j5jfiARt9UVrQBCQK6UtSod4Pm4Sf74LRSUdQHuDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T14:18:10.516780Z","bundle_sha256":"84bc4e787c9e0abf46269a789309039a4425ce9e6721dbd4c957367ff3919f31"}}