{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:A2RM35G3O62LRODK57MSEQ5WXU","short_pith_number":"pith:A2RM35G3","canonical_record":{"source":{"id":"2507.13095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-17T13:06:25Z","cross_cats_sorted":[],"title_canon_sha256":"b012179c8e5bab7459db53bbbfe600243a4419519e8850918d8a5cbe4b6dd4c9","abstract_canon_sha256":"c6f8ef5d325fc26fe112c94f1aa0bf8eb2cb992ca0d57a83b18c05d2a06aea76"},"schema_version":"1.0"},"canonical_sha256":"06a2cdf4db77b4b8b86aefd92243b6bd2b692ade06e1ae62419de51a3b73b641","source":{"kind":"arxiv","id":"2507.13095","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.13095","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"arxiv_version","alias_value":"2507.13095v1","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13095","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"pith_short_12","alias_value":"A2RM35G3O62L","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"pith_short_16","alias_value":"A2RM35G3O62LRODK","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"pith_short_8","alias_value":"A2RM35G3","created_at":"2026-07-05T11:38:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:A2RM35G3O62LRODK57MSEQ5WXU","target":"record","payload":{"canonical_record":{"source":{"id":"2507.13095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-17T13:06:25Z","cross_cats_sorted":[],"title_canon_sha256":"b012179c8e5bab7459db53bbbfe600243a4419519e8850918d8a5cbe4b6dd4c9","abstract_canon_sha256":"c6f8ef5d325fc26fe112c94f1aa0bf8eb2cb992ca0d57a83b18c05d2a06aea76"},"schema_version":"1.0"},"canonical_sha256":"06a2cdf4db77b4b8b86aefd92243b6bd2b692ade06e1ae62419de51a3b73b641","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:38:54.639759Z","signature_b64":"UIsP+FkYCUccxR15Kd5XE+vQv5rcTJEAkR1H9M3+Df2rIPtk/X4n9CBDSyNIgqqwjZ6eoE1JF/sQYa616sJNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06a2cdf4db77b4b8b86aefd92243b6bd2b692ade06e1ae62419de51a3b73b641","last_reissued_at":"2026-07-05T11:38:54.639270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:38:54.639270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.13095","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":"2026-07-05T11:38:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x7q7Lx2oNsY311IBf7iXKoCSBb5mLDCJBBu7GFR2NQ9Vw5Y6nMZJ8fD2pgtpMMEE5d5r4inc7xpaSEsnGtpGAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:22:21.468584Z"},"content_sha256":"fc2415046df229998964ca619ee8a3bd9ffe4c8bf3235546eb54ef7f61a55a81","schema_version":"1.0","event_id":"sha256:fc2415046df229998964ca619ee8a3bd9ffe4c8bf3235546eb54ef7f61a55a81"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:A2RM35G3O62LRODK57MSEQ5WXU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Dongming Jin, Linyu Li, Xiaohong Chen, Zhi Jin","submitted_at":"2025-07-17T13:06:25Z","abstract_excerpt":"Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing assumptions in requirements engineering, including functional decomposability and behavioral predictab"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13095","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/2507.13095/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":"2026-07-05T11:38:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/ySHkaFFO8IjvFTqOqSi/q7AXGtlchDs1afA0leaeIhbnfM8z70LAL5wL8ZFgVS8ZCfigb/T6KW+4eYgJq7nDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:22:21.469500Z"},"content_sha256":"04fa5150b24f0b05710a2eeee59787f50840a8ec417ee4515f085e42b549fb97","schema_version":"1.0","event_id":"sha256:04fa5150b24f0b05710a2eeee59787f50840a8ec417ee4515f085e42b549fb97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A2RM35G3O62LRODK57MSEQ5WXU/bundle.json","state_url":"https://pith.science/pith/A2RM35G3O62LRODK57MSEQ5WXU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A2RM35G3O62LRODK57MSEQ5WXU/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":"2026-08-09T09:22:21Z","links":{"resolver":"https://pith.science/pith/A2RM35G3O62LRODK57MSEQ5WXU","bundle":"https://pith.science/pith/A2RM35G3O62LRODK57MSEQ5WXU/bundle.json","state":"https://pith.science/pith/A2RM35G3O62LRODK57MSEQ5WXU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A2RM35G3O62LRODK57MSEQ5WXU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:A2RM35G3O62LRODK57MSEQ5WXU","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":"c6f8ef5d325fc26fe112c94f1aa0bf8eb2cb992ca0d57a83b18c05d2a06aea76","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-17T13:06:25Z","title_canon_sha256":"b012179c8e5bab7459db53bbbfe600243a4419519e8850918d8a5cbe4b6dd4c9"},"schema_version":"1.0","source":{"id":"2507.13095","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.13095","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"arxiv_version","alias_value":"2507.13095v1","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13095","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"pith_short_12","alias_value":"A2RM35G3O62L","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"pith_short_16","alias_value":"A2RM35G3O62LRODK","created_at":"2026-07-05T11:38:54Z"},{"alias_kind":"pith_short_8","alias_value":"A2RM35G3","created_at":"2026-07-05T11:38:54Z"}],"graph_snapshots":[{"event_id":"sha256:04fa5150b24f0b05710a2eeee59787f50840a8ec417ee4515f085e42b549fb97","target":"graph","created_at":"2026-07-05T11:38:54Z","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/2507.13095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing assumptions in requirements engineering, including functional decomposability and behavioral predictab","authors_text":"Dongming Jin, Linyu Li, Xiaohong Chen, Zhi Jin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-17T13:06:25Z","title":"A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13095","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:fc2415046df229998964ca619ee8a3bd9ffe4c8bf3235546eb54ef7f61a55a81","target":"record","created_at":"2026-07-05T11:38:54Z","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":"c6f8ef5d325fc26fe112c94f1aa0bf8eb2cb992ca0d57a83b18c05d2a06aea76","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-17T13:06:25Z","title_canon_sha256":"b012179c8e5bab7459db53bbbfe600243a4419519e8850918d8a5cbe4b6dd4c9"},"schema_version":"1.0","source":{"id":"2507.13095","kind":"arxiv","version":1}},"canonical_sha256":"06a2cdf4db77b4b8b86aefd92243b6bd2b692ade06e1ae62419de51a3b73b641","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06a2cdf4db77b4b8b86aefd92243b6bd2b692ade06e1ae62419de51a3b73b641","first_computed_at":"2026-07-05T11:38:54.639270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:38:54.639270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UIsP+FkYCUccxR15Kd5XE+vQv5rcTJEAkR1H9M3+Df2rIPtk/X4n9CBDSyNIgqqwjZ6eoE1JF/sQYa616sJNCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:38:54.639759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.13095","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc2415046df229998964ca619ee8a3bd9ffe4c8bf3235546eb54ef7f61a55a81","sha256:04fa5150b24f0b05710a2eeee59787f50840a8ec417ee4515f085e42b549fb97"],"state_sha256":"7382ae8b94c9a6d7aac271bd5fa0d75cd7213ca4748ed72789a1038fd4d3e2b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ggShcNEJf2896fP+fvSEVi3vcjfcXa7KiQsvWygpc+8jHJWJEeVzH56d4YdkF5GvZKd8mWxn4LimX4r+HBK4Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T09:22:21.476755Z","bundle_sha256":"0d9078ef77e8feac2f6d1c3bbe82276653f4ce41b66d843aab0c01aa02fec49c"}}