{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VWZQBMKLNMKXUVEDJ3TJLRMZEV","short_pith_number":"pith:VWZQBMKL","canonical_record":{"source":{"id":"2607.25335","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-28T06:33:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e52b05c44fdbe140ec636c8a85941ef62ce40fe7bb0c492c6e2d4d9769f8161c","abstract_canon_sha256":"806dfa171c9e98dd1c935099928acdb0e865320b3334de7ed072cbd71ed5a567"},"schema_version":"1.0"},"canonical_sha256":"adb300b14b6b157a54834ee695c599257dd0b18cde84875ff40726545b6496b9","source":{"kind":"arxiv","id":"2607.25335","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25335","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25335v1","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25335","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"pith_short_12","alias_value":"VWZQBMKLNMKX","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"pith_short_16","alias_value":"VWZQBMKLNMKXUVED","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"pith_short_8","alias_value":"VWZQBMKL","created_at":"2026-07-29T01:25:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VWZQBMKLNMKXUVEDJ3TJLRMZEV","target":"record","payload":{"canonical_record":{"source":{"id":"2607.25335","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-28T06:33:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e52b05c44fdbe140ec636c8a85941ef62ce40fe7bb0c492c6e2d4d9769f8161c","abstract_canon_sha256":"806dfa171c9e98dd1c935099928acdb0e865320b3334de7ed072cbd71ed5a567"},"schema_version":"1.0"},"canonical_sha256":"adb300b14b6b157a54834ee695c599257dd0b18cde84875ff40726545b6496b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:09.896789Z","signature_b64":"mBEwtkFJ4G2sxmBHl0fE2TjL4WKNdn2kV1IrPJ55NLxKlUppHXjQ+UVAXFkbzZeTxBCQCHHLsR+R04mhg5SXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"adb300b14b6b157a54834ee695c599257dd0b18cde84875ff40726545b6496b9","last_reissued_at":"2026-07-29T01:25:09.895959Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:09.895959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.25335","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":"2026-07-29T01:25:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1O7TG8tcaMDz0SJ0rO2VgVcSGYnO41Eo2Cry8s3S/pW6DQTdkLaDwQ+hROn4e5/76VHyrszMpzq4gDOnehDIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:59:57.686232Z"},"content_sha256":"f07f5100554044d4f33008cf6cb500295d679c13a9f2e36f9766df57055991f6","schema_version":"1.0","event_id":"sha256:f07f5100554044d4f33008cf6cb500295d679c13a9f2e36f9766df57055991f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VWZQBMKLNMKXUVEDJ3TJLRMZEV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Every Time I Hire a Linguist, Inference Costs Go Down: On Linguistic Rules as Effective Prompt Compressors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Emmanuele Chersoni, Jianfei Ma, Si Chen, Zhaoxin Feng","submitted_at":"2026-07-28T06:33:27Z","abstract_excerpt":"Prompt compression shortens LLM input to reduce inference cost, yet existing methods score token importance through LM forward passes. It remains questionable whether such nuanced, costly token selection is necessary. Compression requires identifying informative content, a problem that linguistic research has long addressed through cues that can be operationalized as deterministic rules. We therefore ask: can \\textbf{linguistic rules alone} serve as effective prompt compressors, without LM-based scoring at compression time?\n  To address this, we conduct offline evolutionary search over lexical"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25335","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/2607.25335/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":"2026-07-29T01:25:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l7e1CXffvLUuSbuWOXJRZickVg+d8DwnAGRsNsCdgXHUOGaERZRiP8uKuLYS2NmfOZfuHQM7VTMCMRY0I7cuDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:59:57.686839Z"},"content_sha256":"dc2e877e5d514d1a75ecb3cc81bdd0b851e853f3899ce09a11a95b5ae1a7a1f3","schema_version":"1.0","event_id":"sha256:dc2e877e5d514d1a75ecb3cc81bdd0b851e853f3899ce09a11a95b5ae1a7a1f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV/bundle.json","state_url":"https://pith.science/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV/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":"2026-08-13T23:59:57Z","links":{"resolver":"https://pith.science/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV","bundle":"https://pith.science/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV/bundle.json","state":"https://pith.science/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VWZQBMKLNMKXUVEDJ3TJLRMZEV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VWZQBMKLNMKXUVEDJ3TJLRMZEV","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":"806dfa171c9e98dd1c935099928acdb0e865320b3334de7ed072cbd71ed5a567","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-28T06:33:27Z","title_canon_sha256":"e52b05c44fdbe140ec636c8a85941ef62ce40fe7bb0c492c6e2d4d9769f8161c"},"schema_version":"1.0","source":{"id":"2607.25335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25335","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25335v1","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25335","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"pith_short_12","alias_value":"VWZQBMKLNMKX","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"pith_short_16","alias_value":"VWZQBMKLNMKXUVED","created_at":"2026-07-29T01:25:09Z"},{"alias_kind":"pith_short_8","alias_value":"VWZQBMKL","created_at":"2026-07-29T01:25:09Z"}],"graph_snapshots":[{"event_id":"sha256:dc2e877e5d514d1a75ecb3cc81bdd0b851e853f3899ce09a11a95b5ae1a7a1f3","target":"graph","created_at":"2026-07-29T01:25:09Z","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/2607.25335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt compression shortens LLM input to reduce inference cost, yet existing methods score token importance through LM forward passes. It remains questionable whether such nuanced, costly token selection is necessary. Compression requires identifying informative content, a problem that linguistic research has long addressed through cues that can be operationalized as deterministic rules. We therefore ask: can \\textbf{linguistic rules alone} serve as effective prompt compressors, without LM-based scoring at compression time?\n  To address this, we conduct offline evolutionary search over lexical","authors_text":"Emmanuele Chersoni, Jianfei Ma, Si Chen, Zhaoxin Feng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-28T06:33:27Z","title":"Every Time I Hire a Linguist, Inference Costs Go Down: On Linguistic Rules as Effective Prompt Compressors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25335","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:f07f5100554044d4f33008cf6cb500295d679c13a9f2e36f9766df57055991f6","target":"record","created_at":"2026-07-29T01:25:09Z","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":"806dfa171c9e98dd1c935099928acdb0e865320b3334de7ed072cbd71ed5a567","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-28T06:33:27Z","title_canon_sha256":"e52b05c44fdbe140ec636c8a85941ef62ce40fe7bb0c492c6e2d4d9769f8161c"},"schema_version":"1.0","source":{"id":"2607.25335","kind":"arxiv","version":1}},"canonical_sha256":"adb300b14b6b157a54834ee695c599257dd0b18cde84875ff40726545b6496b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"adb300b14b6b157a54834ee695c599257dd0b18cde84875ff40726545b6496b9","first_computed_at":"2026-07-29T01:25:09.895959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:25:09.895959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mBEwtkFJ4G2sxmBHl0fE2TjL4WKNdn2kV1IrPJ55NLxKlUppHXjQ+UVAXFkbzZeTxBCQCHHLsR+R04mhg5SXBA==","signature_status":"signed_v1","signed_at":"2026-07-29T01:25:09.896789Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f07f5100554044d4f33008cf6cb500295d679c13a9f2e36f9766df57055991f6","sha256:dc2e877e5d514d1a75ecb3cc81bdd0b851e853f3899ce09a11a95b5ae1a7a1f3"],"state_sha256":"34b1d73573276be47176a50c67904e768ccb96c3b5a9cfeefe3921d3e2cfc507"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wd5uNAq0mloeZ1apUUefVJHa04ZYnUclQG7TTV3yDnLndb226nizyTbNqVNWkOqCwRZnn44u29EmuAiCxMFwDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:59:57.759549Z","bundle_sha256":"9c8cbe8c447c92355142294aae45e1f6648115b6f075d0ebe0d7f22f92e0ac4a"}}