{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UYPLW2CVINQ5JKXD3CEWSPEX2B","short_pith_number":"pith:UYPLW2CV","canonical_record":{"source":{"id":"2608.12905","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T07:43:34Z","cross_cats_sorted":[],"title_canon_sha256":"5cadc1efc3562357e246358fa5cc05865e8ab51e587c144277d1b4822d34ec22","abstract_canon_sha256":"10f744cd89948a0757a0d66ccf7f978a89fedf9aa489bc74e8d001cee529341c"},"schema_version":"1.0"},"canonical_sha256":"a61ebb68554361d4aae3d889693c97d068c702b9d640131ce122edabbc867f32","source":{"kind":"arxiv","id":"2608.12905","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.12905","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2608.12905v1","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12905","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"UYPLW2CVINQ5","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"UYPLW2CVINQ5JKXD","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"UYPLW2CV","created_at":"2026-08-14T00:58:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UYPLW2CVINQ5JKXD3CEWSPEX2B","target":"record","payload":{"canonical_record":{"source":{"id":"2608.12905","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T07:43:34Z","cross_cats_sorted":[],"title_canon_sha256":"5cadc1efc3562357e246358fa5cc05865e8ab51e587c144277d1b4822d34ec22","abstract_canon_sha256":"10f744cd89948a0757a0d66ccf7f978a89fedf9aa489bc74e8d001cee529341c"},"schema_version":"1.0"},"canonical_sha256":"a61ebb68554361d4aae3d889693c97d068c702b9d640131ce122edabbc867f32","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T00:58:48.277121Z","signature_b64":"GE/o50sVRZsNp48LHhGDutjsmyImBVIQe9nJZrzVAWfdFw+yvrUs1Y73i/Lm4F5+ZHowDYaC80ZpD/Tl5/NlAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a61ebb68554361d4aae3d889693c97d068c702b9d640131ce122edabbc867f32","last_reissued_at":"2026-08-14T00:58:48.274656Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T00:58:48.274656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.12905","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":"2026-08-14T00:58:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aRxHmFq6b5yZwVxSh/dY3FJVBw2xkmfYCJEecYIpnfAWuiEk8aFcRrZ4wCYslryUYhbmVYhDfR1gz93Ud00QAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:26:45.441102Z"},"content_sha256":"02237b6ad9245a61e231b8043a8d96475f9eb7f11ced3569b06cf28951c923dc","schema_version":"1.0","event_id":"sha256:02237b6ad9245a61e231b8043a8d96475f9eb7f11ced3569b06cf28951c923dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UYPLW2CVINQ5JKXD3CEWSPEX2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Prompts in the Wild: A Large Analyzed Collection of Transactional Prompts in Code","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Reut Tsarfaty, Victoria Basmov, Yoav Goldberg","submitted_at":"2026-08-13T07:43:34Z","abstract_excerpt":"The behavior of contemporary generative Large Language Models (LLMs) is directly shaped by prompts, unstructured texts that describe the desired output and model behavior. In this paper we argue that prompts are linguistic objects that merit investigation in their own right. To this end, we collect 57.5K unique samples of prompts from GitHub. Specifically, we focus on transactional prompts: reproducible natural language instructions that are integrated into software. To enable the empirical, quantitative study of prompts, we introduce a structured ontology, capturing the properties of prompts "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12905","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/2608.12905/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":"2026-08-14T00:58:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GgxwWyxsys5N1ueAurd3zChwDO5C2WSKrkoCMl2JMw6EwBUbhbmCnqsPcLm1LrBWrweksTHlxu1SdBm0pVifDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:26:45.441610Z"},"content_sha256":"b16ffeb296c0dc52a7df9a0807708801e122694057fca4fa976d00e5fb63e795","schema_version":"1.0","event_id":"sha256:b16ffeb296c0dc52a7df9a0807708801e122694057fca4fa976d00e5fb63e795"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B/bundle.json","state_url":"https://pith.science/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B/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":"2026-08-16T20:26:45Z","links":{"resolver":"https://pith.science/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B","bundle":"https://pith.science/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B/bundle.json","state":"https://pith.science/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UYPLW2CVINQ5JKXD3CEWSPEX2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UYPLW2CVINQ5JKXD3CEWSPEX2B","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":"10f744cd89948a0757a0d66ccf7f978a89fedf9aa489bc74e8d001cee529341c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T07:43:34Z","title_canon_sha256":"5cadc1efc3562357e246358fa5cc05865e8ab51e587c144277d1b4822d34ec22"},"schema_version":"1.0","source":{"id":"2608.12905","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.12905","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2608.12905v1","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12905","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"UYPLW2CVINQ5","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"UYPLW2CVINQ5JKXD","created_at":"2026-08-14T00:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"UYPLW2CV","created_at":"2026-08-14T00:58:48Z"}],"graph_snapshots":[{"event_id":"sha256:b16ffeb296c0dc52a7df9a0807708801e122694057fca4fa976d00e5fb63e795","target":"graph","created_at":"2026-08-14T00:58:48Z","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/2608.12905/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The behavior of contemporary generative Large Language Models (LLMs) is directly shaped by prompts, unstructured texts that describe the desired output and model behavior. In this paper we argue that prompts are linguistic objects that merit investigation in their own right. To this end, we collect 57.5K unique samples of prompts from GitHub. Specifically, we focus on transactional prompts: reproducible natural language instructions that are integrated into software. To enable the empirical, quantitative study of prompts, we introduce a structured ontology, capturing the properties of prompts ","authors_text":"Reut Tsarfaty, Victoria Basmov, Yoav Goldberg","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T07:43:34Z","title":"Prompts in the Wild: A Large Analyzed Collection of Transactional Prompts in Code"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12905","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":"sha256:02237b6ad9245a61e231b8043a8d96475f9eb7f11ced3569b06cf28951c923dc","target":"record","created_at":"2026-08-14T00:58:48Z","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":"10f744cd89948a0757a0d66ccf7f978a89fedf9aa489bc74e8d001cee529341c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-13T07:43:34Z","title_canon_sha256":"5cadc1efc3562357e246358fa5cc05865e8ab51e587c144277d1b4822d34ec22"},"schema_version":"1.0","source":{"id":"2608.12905","kind":"arxiv","version":1}},"canonical_sha256":"a61ebb68554361d4aae3d889693c97d068c702b9d640131ce122edabbc867f32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a61ebb68554361d4aae3d889693c97d068c702b9d640131ce122edabbc867f32","first_computed_at":"2026-08-14T00:58:48.274656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-14T00:58:48.274656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GE/o50sVRZsNp48LHhGDutjsmyImBVIQe9nJZrzVAWfdFw+yvrUs1Y73i/Lm4F5+ZHowDYaC80ZpD/Tl5/NlAQ==","signature_status":"signed_v1","signed_at":"2026-08-14T00:58:48.277121Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.12905","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02237b6ad9245a61e231b8043a8d96475f9eb7f11ced3569b06cf28951c923dc","sha256:b16ffeb296c0dc52a7df9a0807708801e122694057fca4fa976d00e5fb63e795"],"state_sha256":"aef3a7ce28e44d62012662e0cb46c629d45530c7c1a01035711689647f0dc3d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vRmEwzysn+k8tEUaoY9nZrQ5f4jc9wYUhYwbHgwPyUsFRaIbT22hR3VLmJVO6TVTsMKgOcOWrKQHAJemgBFWCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T20:26:45.447080Z","bundle_sha256":"b7edd3fd7df90ded8b43a412c6cd9f03ddca6af9adcb8b6a95b2350de60cfa19"}}