{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZQ3PWNHKP6AC7CXEC3SMPLMCOE","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":"e65909dbdb1fdcf2612d735777bc13780ddd3f74a4657f7f2e688b836bf4ff0d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-30T23:07:58Z","title_canon_sha256":"29098286efa9c6bfa4537bea61b4641045a30aebdecaf7def92d18f4740188dd"},"schema_version":"1.0","source":{"id":"2404.00489","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00489","created_at":"2026-07-05T09:21:42Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00489v2","created_at":"2026-07-05T09:21:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00489","created_at":"2026-07-05T09:21:42Z"},{"alias_kind":"pith_short_12","alias_value":"ZQ3PWNHKP6AC","created_at":"2026-07-05T09:21:42Z"},{"alias_kind":"pith_short_16","alias_value":"ZQ3PWNHKP6AC7CXE","created_at":"2026-07-05T09:21:42Z"},{"alias_kind":"pith_short_8","alias_value":"ZQ3PWNHK","created_at":"2026-07-05T09:21:42Z"}],"graph_snapshots":[{"event_id":"sha256:2b60e6c66c24b9aa67603edb55a7528d3a47162b81a33decf213e290ae82ecc2","target":"graph","created_at":"2026-07-05T09:21:42Z","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/2404.00489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown exceptional abilities for multiple different natural language processing tasks. While prompting is a crucial tool for LLM inference, we observe that there is a significant cost associated with exceedingly lengthy prompts. Existing attempts to compress lengthy prompts lead to substandard results in terms of readability/interpretability of the compressed prompt, with a detrimental impact on prompt utility. To address this, we propose PromptSAW: Prompt compresSion via Relation AWare graphs, an effective strategy for prompt compression over task-agnostic and","authors_text":"Di Wang, Guimin Hu, Keyuan Cheng, Lijie Hu, Lu Yu, Muhammad Asif Ali, Shu Yang, Tianhao Huang, Weimin Lyu, Yang Cao, Zhengping Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-30T23:07:58Z","title":"Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00489","kind":"arxiv","version":2},"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:a897c683745c7367fb0dcd56fa486595cb2b5f12fd00417244cf1c19e6d89708","target":"record","created_at":"2026-07-05T09:21:42Z","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":"e65909dbdb1fdcf2612d735777bc13780ddd3f74a4657f7f2e688b836bf4ff0d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-30T23:07:58Z","title_canon_sha256":"29098286efa9c6bfa4537bea61b4641045a30aebdecaf7def92d18f4740188dd"},"schema_version":"1.0","source":{"id":"2404.00489","kind":"arxiv","version":2}},"canonical_sha256":"cc36fb34ea7f802f8ae416e4c7ad8271331c6c20ce613d2e85fd3000d9b08408","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc36fb34ea7f802f8ae416e4c7ad8271331c6c20ce613d2e85fd3000d9b08408","first_computed_at":"2026-07-05T09:21:42.534589Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:42.534589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Su+DGtt4j6CAiXMuEDAg06ozODKopTss6RgvOdOm5Qewwj9UJsxAXfvMQPe4euWvA+HeuoyHukZ9GbVThL1GBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:42.535101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.00489","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a897c683745c7367fb0dcd56fa486595cb2b5f12fd00417244cf1c19e6d89708","sha256:2b60e6c66c24b9aa67603edb55a7528d3a47162b81a33decf213e290ae82ecc2"],"state_sha256":"daa91a0c9b9e01694920c457f4066aa70d79eb66389c03516069059206188dd8"}