{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:R7G3K6WETO7K3Y46CMV4NAGAKP","short_pith_number":"pith:R7G3K6WE","canonical_record":{"source":{"id":"2602.02208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-02-02T15:15:24Z","cross_cats_sorted":["cs.AI","cs.IR","cs.SE"],"title_canon_sha256":"fc4618d2fdfb20b9d94edb7dabbbb2673d1a8607c991158cc69bb085b2bb7102","abstract_canon_sha256":"e2071e0a92eb0cd97b975a31df0426e313e4becca2194909329144e64d524876"},"schema_version":"1.0"},"canonical_sha256":"8fcdb57ac49bbeade39e132bc680c053ef26eea370df3fab1d14d0cc431d4f65","source":{"kind":"arxiv","id":"2602.02208","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.02208","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"arxiv_version","alias_value":"2602.02208v1","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.02208","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"pith_short_12","alias_value":"R7G3K6WETO7K","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"pith_short_16","alias_value":"R7G3K6WETO7K3Y46","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"pith_short_8","alias_value":"R7G3K6WE","created_at":"2026-07-15T01:21:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:R7G3K6WETO7K3Y46CMV4NAGAKP","target":"record","payload":{"canonical_record":{"source":{"id":"2602.02208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-02-02T15:15:24Z","cross_cats_sorted":["cs.AI","cs.IR","cs.SE"],"title_canon_sha256":"fc4618d2fdfb20b9d94edb7dabbbb2673d1a8607c991158cc69bb085b2bb7102","abstract_canon_sha256":"e2071e0a92eb0cd97b975a31df0426e313e4becca2194909329144e64d524876"},"schema_version":"1.0"},"canonical_sha256":"8fcdb57ac49bbeade39e132bc680c053ef26eea370df3fab1d14d0cc431d4f65","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T01:21:49.886500Z","signature_b64":"GyxtVvvIg0Lf+T6CXOvkVGK6GQzlHYCV6HPLbW9zaOEbQ7ig58II6kMsu7+bpr4zLyNhHsWtmmAYDpJ2VjVKDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8fcdb57ac49bbeade39e132bc680c053ef26eea370df3fab1d14d0cc431d4f65","last_reissued_at":"2026-07-15T01:21:49.885507Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T01:21:49.885507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.02208","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":"2026-07-15T01:21:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQPJaSPgXQ74RjIxlS1l81FGbdVfErt1nqt99W8mFZkQ0axQja/1GGM3D87wTVhN8xjAIrxaAFEbkMQnhbkLBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:40:31.982686Z"},"content_sha256":"ea7e0f039b3de5e68cbbbaa6091da6df49ba44452cb1eae82e4850d272a3ecd5","schema_version":"1.0","event_id":"sha256:ea7e0f039b3de5e68cbbbaa6091da6df49ba44452cb1eae82e4850d272a3ecd5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:R7G3K6WETO7K3Y46CMV4NAGAKP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.SE"],"primary_cat":"cs.CL","authors_text":"Ayman Asad Khan, Md. Toufique Hasan, Mika Saari, Pekka Abrahamsson, Vaishnavi Bankhele","submitted_at":"2026-02-02T15:15:24Z","abstract_excerpt":"Large language models show promise for knowledge-intensive domains, yet their use in agriculture is constrained by weak grounding, English-centric training data, and limited real-world evaluation. These issues are amplified for low-resource languages, where high-quality domain documentation exists but remains difficult to access through general-purpose models. This paper presents AgriHubi, a domain-adapted retrieval-augmented generation (RAG) system for Finnish-language agricultural decision support. AgriHubi integrates Finnish agricultural documents with open PORO family models and combines e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.02208","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/2602.02208/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":"2026-07-15T01:21:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"chrSBTsZmUzR7bL8q2jyKkl9u9f10SrngTPpt9ct1XyVMzexi47hG5V7WiQ7BqHIJuMOMGVLTqHeao81+gbxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:40:31.983184Z"},"content_sha256":"eec169cdc791862bdbab59093b3abab8cd4ef51e7bb842df4d834272eecdf242","schema_version":"1.0","event_id":"sha256:eec169cdc791862bdbab59093b3abab8cd4ef51e7bb842df4d834272eecdf242"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R7G3K6WETO7K3Y46CMV4NAGAKP/bundle.json","state_url":"https://pith.science/pith/R7G3K6WETO7K3Y46CMV4NAGAKP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R7G3K6WETO7K3Y46CMV4NAGAKP/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":"2026-08-05T15:40:31Z","links":{"resolver":"https://pith.science/pith/R7G3K6WETO7K3Y46CMV4NAGAKP","bundle":"https://pith.science/pith/R7G3K6WETO7K3Y46CMV4NAGAKP/bundle.json","state":"https://pith.science/pith/R7G3K6WETO7K3Y46CMV4NAGAKP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R7G3K6WETO7K3Y46CMV4NAGAKP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:R7G3K6WETO7K3Y46CMV4NAGAKP","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":"e2071e0a92eb0cd97b975a31df0426e313e4becca2194909329144e64d524876","cross_cats_sorted":["cs.AI","cs.IR","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-02-02T15:15:24Z","title_canon_sha256":"fc4618d2fdfb20b9d94edb7dabbbb2673d1a8607c991158cc69bb085b2bb7102"},"schema_version":"1.0","source":{"id":"2602.02208","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.02208","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"arxiv_version","alias_value":"2602.02208v1","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.02208","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"pith_short_12","alias_value":"R7G3K6WETO7K","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"pith_short_16","alias_value":"R7G3K6WETO7K3Y46","created_at":"2026-07-15T01:21:49Z"},{"alias_kind":"pith_short_8","alias_value":"R7G3K6WE","created_at":"2026-07-15T01:21:49Z"}],"graph_snapshots":[{"event_id":"sha256:eec169cdc791862bdbab59093b3abab8cd4ef51e7bb842df4d834272eecdf242","target":"graph","created_at":"2026-07-15T01:21:49Z","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/2602.02208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models show promise for knowledge-intensive domains, yet their use in agriculture is constrained by weak grounding, English-centric training data, and limited real-world evaluation. These issues are amplified for low-resource languages, where high-quality domain documentation exists but remains difficult to access through general-purpose models. This paper presents AgriHubi, a domain-adapted retrieval-augmented generation (RAG) system for Finnish-language agricultural decision support. AgriHubi integrates Finnish agricultural documents with open PORO family models and combines e","authors_text":"Ayman Asad Khan, Md. Toufique Hasan, Mika Saari, Pekka Abrahamsson, Vaishnavi Bankhele","cross_cats":["cs.AI","cs.IR","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-02-02T15:15:24Z","title":"Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.02208","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:ea7e0f039b3de5e68cbbbaa6091da6df49ba44452cb1eae82e4850d272a3ecd5","target":"record","created_at":"2026-07-15T01:21:49Z","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":"e2071e0a92eb0cd97b975a31df0426e313e4becca2194909329144e64d524876","cross_cats_sorted":["cs.AI","cs.IR","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-02-02T15:15:24Z","title_canon_sha256":"fc4618d2fdfb20b9d94edb7dabbbb2673d1a8607c991158cc69bb085b2bb7102"},"schema_version":"1.0","source":{"id":"2602.02208","kind":"arxiv","version":1}},"canonical_sha256":"8fcdb57ac49bbeade39e132bc680c053ef26eea370df3fab1d14d0cc431d4f65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8fcdb57ac49bbeade39e132bc680c053ef26eea370df3fab1d14d0cc431d4f65","first_computed_at":"2026-07-15T01:21:49.885507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-15T01:21:49.885507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GyxtVvvIg0Lf+T6CXOvkVGK6GQzlHYCV6HPLbW9zaOEbQ7ig58II6kMsu7+bpr4zLyNhHsWtmmAYDpJ2VjVKDA==","signature_status":"signed_v1","signed_at":"2026-07-15T01:21:49.886500Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.02208","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea7e0f039b3de5e68cbbbaa6091da6df49ba44452cb1eae82e4850d272a3ecd5","sha256:eec169cdc791862bdbab59093b3abab8cd4ef51e7bb842df4d834272eecdf242"],"state_sha256":"a372035dbe49cd1a8293eb4997133101bebebe029940e1a7139e58e2626f7bc1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lF5spsfmHk+G0fbyfkKPo152W/DbJRudMpyNCmdOEKuH9EwsBYb6cazCMFHqC38WK9KQbDPY+D6gCJEiWFGtAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:40:31.986405Z","bundle_sha256":"ccdaec82c8e0a7ef956b4d089c7228481b3e446816ffd53449bd3490188a8214"}}