{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RLOF7UAA3DBG2XPLWBQKUSJE6V","short_pith_number":"pith:RLOF7UAA","canonical_record":{"source":{"id":"2408.03094","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-06T10:51:47Z","cross_cats_sorted":[],"title_canon_sha256":"93c0036adb302a3970cbb754fea8c860c841d6b39882491b04cca5df3c17fa0e","abstract_canon_sha256":"ff81edfcb4aa48f013d1b7d30ff1bd928b104ef9f1a9347ba63efb7048e1b437"},"schema_version":"1.0"},"canonical_sha256":"8adc5fd000d8c26d5debb060aa4924f55b4099538249747d054027e0e48962ec","source":{"kind":"arxiv","id":"2408.03094","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03094","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03094v1","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03094","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"pith_short_12","alias_value":"RLOF7UAA3DBG","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"pith_short_16","alias_value":"RLOF7UAA3DBG2XPL","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"pith_short_8","alias_value":"RLOF7UAA","created_at":"2026-07-05T08:52:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RLOF7UAA3DBG2XPLWBQKUSJE6V","target":"record","payload":{"canonical_record":{"source":{"id":"2408.03094","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-06T10:51:47Z","cross_cats_sorted":[],"title_canon_sha256":"93c0036adb302a3970cbb754fea8c860c841d6b39882491b04cca5df3c17fa0e","abstract_canon_sha256":"ff81edfcb4aa48f013d1b7d30ff1bd928b104ef9f1a9347ba63efb7048e1b437"},"schema_version":"1.0"},"canonical_sha256":"8adc5fd000d8c26d5debb060aa4924f55b4099538249747d054027e0e48962ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:45.397235Z","signature_b64":"ZgoU5stmt/k3pYUkVDUwi9vr8h2RQfeybNOC3SxMOmyKsxrWPmci9ZbD9CUCyhGUDNrIWLuSOr4vhO6IpzvmDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8adc5fd000d8c26d5debb060aa4924f55b4099538249747d054027e0e48962ec","last_reissued_at":"2026-07-05T08:52:45.396720Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:45.396720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.03094","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":"2026-07-05T08:52:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U2NaMFWmjeB3pHjeOH4S/k2Ni5884wQrEzkuwAwYPZ2Z28qzQktYf8UGttylNSchVS6u5LI/VQg4+i0HI/A9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T15:00:07.499994Z"},"content_sha256":"74a382b9c84caf6f59cc412bf11444b4d22cde1970246ddd463feb0f0f714618","schema_version":"1.0","event_id":"sha256:74a382b9c84caf6f59cc412bf11444b4d22cde1970246ddd463feb0f0f714618"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RLOF7UAA3DBG2XPLWBQKUSJE6V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"500xCompressor: Generalized Prompt Compression for Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Nigel Collier, Yixuan Su, Zongqian Li","submitted_at":"2024-08-06T10:51:47Z","abstract_excerpt":"Prompt compression is crucial for enhancing inference speed, reducing costs, and improving user experience. However, current methods face challenges such as low compression ratios and potential data leakage during evaluation. To address these issues, we propose 500xCompressor, a method that compresses extensive natural language contexts into a minimum of one single special token. The 500xCompressor introduces approximately 0.3% additional parameters and achieves compression ratios ranging from 6x to 480x. It is designed to compress any text, answer various types of questions, and could be util"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03094","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/2408.03094/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":"2026-07-05T08:52:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3OZ1Ujxj2uHV27YycXpFFiD+y23hTq6ea7G1HJYbSOsugwS2wpujDbkIRYxnuUR0MxOq5tRd/eTeNQcwrcpAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T15:00:07.500491Z"},"content_sha256":"e909863369dd5b2c1ce9c5fb4a5ff11f63da01f61c3e064892021c1ac6b6f879","schema_version":"1.0","event_id":"sha256:e909863369dd5b2c1ce9c5fb4a5ff11f63da01f61c3e064892021c1ac6b6f879"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V/bundle.json","state_url":"https://pith.science/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V/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":"2026-07-11T15:00:07Z","links":{"resolver":"https://pith.science/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V","bundle":"https://pith.science/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V/bundle.json","state":"https://pith.science/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RLOF7UAA3DBG2XPLWBQKUSJE6V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RLOF7UAA3DBG2XPLWBQKUSJE6V","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":"ff81edfcb4aa48f013d1b7d30ff1bd928b104ef9f1a9347ba63efb7048e1b437","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-06T10:51:47Z","title_canon_sha256":"93c0036adb302a3970cbb754fea8c860c841d6b39882491b04cca5df3c17fa0e"},"schema_version":"1.0","source":{"id":"2408.03094","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03094","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03094v1","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03094","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"pith_short_12","alias_value":"RLOF7UAA3DBG","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"pith_short_16","alias_value":"RLOF7UAA3DBG2XPL","created_at":"2026-07-05T08:52:45Z"},{"alias_kind":"pith_short_8","alias_value":"RLOF7UAA","created_at":"2026-07-05T08:52:45Z"}],"graph_snapshots":[{"event_id":"sha256:e909863369dd5b2c1ce9c5fb4a5ff11f63da01f61c3e064892021c1ac6b6f879","target":"graph","created_at":"2026-07-05T08:52:45Z","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/2408.03094/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt compression is crucial for enhancing inference speed, reducing costs, and improving user experience. However, current methods face challenges such as low compression ratios and potential data leakage during evaluation. To address these issues, we propose 500xCompressor, a method that compresses extensive natural language contexts into a minimum of one single special token. The 500xCompressor introduces approximately 0.3% additional parameters and achieves compression ratios ranging from 6x to 480x. It is designed to compress any text, answer various types of questions, and could be util","authors_text":"Nigel Collier, Yixuan Su, Zongqian Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-06T10:51:47Z","title":"500xCompressor: Generalized Prompt Compression for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03094","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":"sha256:74a382b9c84caf6f59cc412bf11444b4d22cde1970246ddd463feb0f0f714618","target":"record","created_at":"2026-07-05T08:52:45Z","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":"ff81edfcb4aa48f013d1b7d30ff1bd928b104ef9f1a9347ba63efb7048e1b437","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-06T10:51:47Z","title_canon_sha256":"93c0036adb302a3970cbb754fea8c860c841d6b39882491b04cca5df3c17fa0e"},"schema_version":"1.0","source":{"id":"2408.03094","kind":"arxiv","version":1}},"canonical_sha256":"8adc5fd000d8c26d5debb060aa4924f55b4099538249747d054027e0e48962ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8adc5fd000d8c26d5debb060aa4924f55b4099538249747d054027e0e48962ec","first_computed_at":"2026-07-05T08:52:45.396720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:45.396720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZgoU5stmt/k3pYUkVDUwi9vr8h2RQfeybNOC3SxMOmyKsxrWPmci9ZbD9CUCyhGUDNrIWLuSOr4vhO6IpzvmDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:45.397235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.03094","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74a382b9c84caf6f59cc412bf11444b4d22cde1970246ddd463feb0f0f714618","sha256:e909863369dd5b2c1ce9c5fb4a5ff11f63da01f61c3e064892021c1ac6b6f879"],"state_sha256":"d88f2bba6ad58385b01251711411f3469ef3312e2173d4a8c7f077cdf3888210"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fWNXr+Hy/HFSSTnUqQCnxBLPEOb49OuA4rbEB/3C/N8Ssc272Lu18JApnvtnVFYSXD953iL6ecjxgIcIjAa8AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T15:00:07.503309Z","bundle_sha256":"b49f70ff97894fd2d5c396a2272e44673f1cb7538584ce11f7c323391680eff8"}}