{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JNP7NH3OMTSDEQSBM37S3G2K3B","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":"c7dfde50b583e8b7fe75e6676d285177da703ddfc4de1dd2de68f962211a06f5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-26T07:13:33Z","title_canon_sha256":"7b650dd97f456457eada2f1e669e7889469c0f38222fe649cbd87afa88c99041"},"schema_version":"1.0","source":{"id":"2607.23507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23507","created_at":"2026-07-28T01:22:56Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23507v1","created_at":"2026-07-28T01:22:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23507","created_at":"2026-07-28T01:22:56Z"},{"alias_kind":"pith_short_12","alias_value":"JNP7NH3OMTSD","created_at":"2026-07-28T01:22:56Z"},{"alias_kind":"pith_short_16","alias_value":"JNP7NH3OMTSDEQSB","created_at":"2026-07-28T01:22:56Z"},{"alias_kind":"pith_short_8","alias_value":"JNP7NH3O","created_at":"2026-07-28T01:22:56Z"}],"graph_snapshots":[{"event_id":"sha256:52e0cdb45d20c7b3e83ec53fbc6fdf6f289b4601bd738bcde413034ced286610","target":"graph","created_at":"2026-07-28T01:22:56Z","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/2607.23507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Choosing the right text embedding model is one of the most consequential -- and most frequently under-examined -- decisions in building a retrieval or search system, yet the model that tops a leaderboard is rarely the best choice for a given deployment. This report develops a practical, evidence-based framework for embedding model selection, built on a benchmarking study that evaluates T3EM (Text 3 Embedding Model), a commercial API-based embedding model, against a broad set of open-source alternatives on English-language retrieval tasks, and situates these findings within the wider Massive Te","authors_text":"Madhav S Baidya","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-26T07:13:33Z","title":"Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23507","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:acd2d3c01e8a7934989aecb1d0901b7990a3bf43892f195dac4eb83edeef1677","target":"record","created_at":"2026-07-28T01:22:56Z","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":"c7dfde50b583e8b7fe75e6676d285177da703ddfc4de1dd2de68f962211a06f5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-26T07:13:33Z","title_canon_sha256":"7b650dd97f456457eada2f1e669e7889469c0f38222fe649cbd87afa88c99041"},"schema_version":"1.0","source":{"id":"2607.23507","kind":"arxiv","version":1}},"canonical_sha256":"4b5ff69f6e64e432424166ff2d9b4ad858df65de9bdd495a1f907a04f1599345","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b5ff69f6e64e432424166ff2d9b4ad858df65de9bdd495a1f907a04f1599345","first_computed_at":"2026-07-28T01:22:56.562302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:22:56.562302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dBES+MPch9cl67WBx4DFSPwsLVj30eu09skg2EYbGO26aMMuMumEtktZp8KSdZkvNltb1dqiw0ZH+tVusgihDA==","signature_status":"signed_v1","signed_at":"2026-07-28T01:22:56.563094Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.23507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:acd2d3c01e8a7934989aecb1d0901b7990a3bf43892f195dac4eb83edeef1677","sha256:52e0cdb45d20c7b3e83ec53fbc6fdf6f289b4601bd738bcde413034ced286610"],"state_sha256":"008425e9ee46bcf1c014a12816ef13dbd3115871cf8b24cb0912f2f8728bc9c0"}