{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3ZCU4XWHWSPY64CNAOB4WCOYDF","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":"2fc8f78b97fbd13c343fc3e50ef5b91eb5b45fdb9fb78fbfc6bd3a3fbaaaecce","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-04-25T08:04:52Z","title_canon_sha256":"3473762fddf015daa0353e402fc4356db30f600c6eea9dbd681fb07a575ab144"},"schema_version":"1.0","source":{"id":"2504.18151","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.18151","created_at":"2026-07-05T10:54:02Z"},{"alias_kind":"arxiv_version","alias_value":"2504.18151v1","created_at":"2026-07-05T10:54:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18151","created_at":"2026-07-05T10:54:02Z"},{"alias_kind":"pith_short_12","alias_value":"3ZCU4XWHWSPY","created_at":"2026-07-05T10:54:02Z"},{"alias_kind":"pith_short_16","alias_value":"3ZCU4XWHWSPY64CN","created_at":"2026-07-05T10:54:02Z"},{"alias_kind":"pith_short_8","alias_value":"3ZCU4XWH","created_at":"2026-07-05T10:54:02Z"}],"graph_snapshots":[{"event_id":"sha256:57b5fbf77dbfa40016ed5cbbd3e4a7412f959e36391a72e4cccf5455317cab8d","target":"graph","created_at":"2026-07-05T10:54:02Z","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/2504.18151/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learned Sparse Retrieval (LSR) has traditionally focused on small-scale encoder-only transformer architectures. With the advent of large-scale pre-trained language models, their capability to generate sparse representations for retrieval tasks across different transformer-based architectures, including encoder-only, decoder-only, and encoder-decoder models, remains largely unexplored. This study investigates the effectiveness of LSR across these architectures, exploring various sparse representation heads and model scales. Our results highlight the limitations of using large language models to","authors_text":"Andrew Yates, Evangelos Kanoulas, Jingfen Qiao, Thong Nguyen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-04-25T08:04:52Z","title":"Leveraging Decoder Architectures for Learned Sparse Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18151","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:c5a5005dc38ba88b0d1b91d8e929b2dbec3cde84841e15dbcae2397c59f7ca6f","target":"record","created_at":"2026-07-05T10:54:02Z","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":"2fc8f78b97fbd13c343fc3e50ef5b91eb5b45fdb9fb78fbfc6bd3a3fbaaaecce","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-04-25T08:04:52Z","title_canon_sha256":"3473762fddf015daa0353e402fc4356db30f600c6eea9dbd681fb07a575ab144"},"schema_version":"1.0","source":{"id":"2504.18151","kind":"arxiv","version":1}},"canonical_sha256":"de454e5ec7b49f8f704d0383cb09d819737227f9fd04fcc4f6fa4af414644040","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de454e5ec7b49f8f704d0383cb09d819737227f9fd04fcc4f6fa4af414644040","first_computed_at":"2026-07-05T10:54:02.760440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:02.760440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R/ISxSb9tcG6aT3lTsjeRZgWQ9zmf8jWW8/+Jv24IWcUBMbpRmNYtKHrryz3ulvWZcUy1wkHrHpO2hG6vSD7DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:02.760904Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.18151","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5a5005dc38ba88b0d1b91d8e929b2dbec3cde84841e15dbcae2397c59f7ca6f","sha256:57b5fbf77dbfa40016ed5cbbd3e4a7412f959e36391a72e4cccf5455317cab8d"],"state_sha256":"5b94069030a8e570f80baf78e904c34ef40855908eb465b6218ac9f92b05be0c"}