{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:J4AAZIR35Y5FQKPE6NPJ3XNR54","short_pith_number":"pith:J4AAZIR3","canonical_record":{"source":{"id":"2410.14042","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T21:35:49Z","cross_cats_sorted":[],"title_canon_sha256":"c1b06d6031af0b0022f8535a5264871c4821885819fb8207282c359ef9e72854","abstract_canon_sha256":"421ee5cc4d3929067f073a6e50c8047dc71b3dd31a0c0266f9e5740cfa4ed77d"},"schema_version":"1.0"},"canonical_sha256":"4f000ca23bee3a5829e4f35e9dddb1ef1325f9d0beb2f85c28eeb751f7ed0efb","source":{"kind":"arxiv","id":"2410.14042","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14042","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14042v1","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14042","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"J4AAZIR35Y5F","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"J4AAZIR35Y5FQKPE","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"J4AAZIR3","created_at":"2026-07-05T09:22:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:J4AAZIR35Y5FQKPE6NPJ3XNR54","target":"record","payload":{"canonical_record":{"source":{"id":"2410.14042","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T21:35:49Z","cross_cats_sorted":[],"title_canon_sha256":"c1b06d6031af0b0022f8535a5264871c4821885819fb8207282c359ef9e72854","abstract_canon_sha256":"421ee5cc4d3929067f073a6e50c8047dc71b3dd31a0c0266f9e5740cfa4ed77d"},"schema_version":"1.0"},"canonical_sha256":"4f000ca23bee3a5829e4f35e9dddb1ef1325f9d0beb2f85c28eeb751f7ed0efb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:26.313026Z","signature_b64":"fw86LtA4GY1tCpJ7jJddcWGBhfQ1tJ+8MyNezOZMKcoDzHoPmCiptDg9PtLTQp+vPcDGVSNqvs8E5hrNBCgmAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f000ca23bee3a5829e4f35e9dddb1ef1325f9d0beb2f85c28eeb751f7ed0efb","last_reissued_at":"2026-07-05T09:22:26.312592Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:26.312592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.14042","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":"2026-07-05T09:22:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LFjSof3u//TtcTlAiSQHRMYZXTKf8G6pJ48INDHmIHys2mfTQEb3IRS0Zt2cMgdLYF4gL2Lwj8HZT/ar/jBaAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T19:43:38.233398Z"},"content_sha256":"bd601a358df1fe7698b97b87bf6df617227edf96a515bbd6825305f2090cea38","schema_version":"1.0","event_id":"sha256:bd601a358df1fe7698b97b87bf6df617227edf96a515bbd6825305f2090cea38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:J4AAZIR35Y5FQKPE6NPJ3XNR54","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Tianxing He, Xiaojun Wan, Xiao Pu","submitted_at":"2024-10-17T21:35:49Z","abstract_excerpt":"Prompt compression condenses contexts while maintaining their informativeness for different usage scenarios. It not only shortens the inference time and reduces computational costs during the usage of large language models, but also lowers expenses when using closed-source models. In a preliminary study, we discover that when instructing language models to compress prompts, different compression styles (e.g., extractive or abstractive) impact performance of compressed prompts on downstream tasks. Building on this insight, we propose Style-Compress, a lightweight framework that adapts a smaller"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14042","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/2410.14042/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":"2026-07-05T09:22:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M1uVU/5un5hjlsdSUhX3BOEh8ZHankSG+gB81xLLs4O55GdFBL14Zlg/qyJoasieBtBogAeF9PkSMYPlp0txDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T19:43:38.233904Z"},"content_sha256":"071d1ba257a436405aee7c15f7c59456b59663885a30604e3f7655af1245f245","schema_version":"1.0","event_id":"sha256:071d1ba257a436405aee7c15f7c59456b59663885a30604e3f7655af1245f245"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54/bundle.json","state_url":"https://pith.science/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54/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":"2026-08-10T19:43:38Z","links":{"resolver":"https://pith.science/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54","bundle":"https://pith.science/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54/bundle.json","state":"https://pith.science/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J4AAZIR35Y5FQKPE6NPJ3XNR54/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J4AAZIR35Y5FQKPE6NPJ3XNR54","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":"421ee5cc4d3929067f073a6e50c8047dc71b3dd31a0c0266f9e5740cfa4ed77d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T21:35:49Z","title_canon_sha256":"c1b06d6031af0b0022f8535a5264871c4821885819fb8207282c359ef9e72854"},"schema_version":"1.0","source":{"id":"2410.14042","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14042","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14042v1","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14042","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"J4AAZIR35Y5F","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"J4AAZIR35Y5FQKPE","created_at":"2026-07-05T09:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"J4AAZIR3","created_at":"2026-07-05T09:22:26Z"}],"graph_snapshots":[{"event_id":"sha256:071d1ba257a436405aee7c15f7c59456b59663885a30604e3f7655af1245f245","target":"graph","created_at":"2026-07-05T09:22:26Z","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/2410.14042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt compression condenses contexts while maintaining their informativeness for different usage scenarios. It not only shortens the inference time and reduces computational costs during the usage of large language models, but also lowers expenses when using closed-source models. In a preliminary study, we discover that when instructing language models to compress prompts, different compression styles (e.g., extractive or abstractive) impact performance of compressed prompts on downstream tasks. Building on this insight, we propose Style-Compress, a lightweight framework that adapts a smaller","authors_text":"Tianxing He, Xiaojun Wan, Xiao Pu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T21:35:49Z","title":"Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14042","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:bd601a358df1fe7698b97b87bf6df617227edf96a515bbd6825305f2090cea38","target":"record","created_at":"2026-07-05T09:22:26Z","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":"421ee5cc4d3929067f073a6e50c8047dc71b3dd31a0c0266f9e5740cfa4ed77d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-17T21:35:49Z","title_canon_sha256":"c1b06d6031af0b0022f8535a5264871c4821885819fb8207282c359ef9e72854"},"schema_version":"1.0","source":{"id":"2410.14042","kind":"arxiv","version":1}},"canonical_sha256":"4f000ca23bee3a5829e4f35e9dddb1ef1325f9d0beb2f85c28eeb751f7ed0efb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f000ca23bee3a5829e4f35e9dddb1ef1325f9d0beb2f85c28eeb751f7ed0efb","first_computed_at":"2026-07-05T09:22:26.312592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:26.312592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fw86LtA4GY1tCpJ7jJddcWGBhfQ1tJ+8MyNezOZMKcoDzHoPmCiptDg9PtLTQp+vPcDGVSNqvs8E5hrNBCgmAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:26.313026Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14042","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd601a358df1fe7698b97b87bf6df617227edf96a515bbd6825305f2090cea38","sha256:071d1ba257a436405aee7c15f7c59456b59663885a30604e3f7655af1245f245"],"state_sha256":"32714d7dc3600feedbc5efa995555ed3d16a5d898229b400fb696cdff4db825b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYNeT9SCFCN2VBBSkz5wHK7AvoBlDuIi5jQSAq5hPW3XN7BpC6y6uOnsGN9CQ/2NdTvrPZjoseIJgcmwu7LKBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T19:43:38.238190Z","bundle_sha256":"996622e1b7d1e13aeda992dd7232a658cb0539c0c6e8a4d7f31dd217c2fb3b95"}}