{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ELNXZHT4J5ZGDTOYOP2DSZRYHK","short_pith_number":"pith:ELNXZHT4","canonical_record":{"source":{"id":"2507.10822","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-14T21:40:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3ed5b62001afc7fb72fd3a5eb4038c7462a5815abf6fc7828017b7ed5ebcc240","abstract_canon_sha256":"08fd06be6be84cbdb40b305e7feb1443385f7e42eb6ec2195d1532465b1cc2fd"},"schema_version":"1.0"},"canonical_sha256":"22db7c9e7c4f7261cdd873f43966383a95572b328fcf5e6cd69d436dba5cb1f9","source":{"kind":"arxiv","id":"2507.10822","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10822","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10822v1","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10822","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"pith_short_12","alias_value":"ELNXZHT4J5ZG","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"pith_short_16","alias_value":"ELNXZHT4J5ZGDTOY","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"pith_short_8","alias_value":"ELNXZHT4","created_at":"2026-07-05T11:37:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ELNXZHT4J5ZGDTOYOP2DSZRYHK","target":"record","payload":{"canonical_record":{"source":{"id":"2507.10822","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-14T21:40:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3ed5b62001afc7fb72fd3a5eb4038c7462a5815abf6fc7828017b7ed5ebcc240","abstract_canon_sha256":"08fd06be6be84cbdb40b305e7feb1443385f7e42eb6ec2195d1532465b1cc2fd"},"schema_version":"1.0"},"canonical_sha256":"22db7c9e7c4f7261cdd873f43966383a95572b328fcf5e6cd69d436dba5cb1f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:37:00.257338Z","signature_b64":"88q6Dv0xteSzRFjSb3fGkeW7PReH2hZjRkKgHs80rYcy9XkBy5thm5MjkDqwITBJWamKzi4pc2H1DsCLupNLCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22db7c9e7c4f7261cdd873f43966383a95572b328fcf5e6cd69d436dba5cb1f9","last_reissued_at":"2026-07-05T11:37:00.256861Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:37:00.256861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.10822","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":"2026-07-05T11:37:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BKnc5oAnnWJWWgv6WRRZ2GrZuS3MM3vHzoZ+sEnl56zSQd/lHokTT7NILMULMCVJNe6+IOl0GfLLvzAjSkpZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T01:27:18.902005Z"},"content_sha256":"80ec4b4e0c64f9440250c3367a8849fe60a0103ef3fd38c335b1ff073982f9a0","schema_version":"1.0","event_id":"sha256:80ec4b4e0c64f9440250c3367a8849fe60a0103ef3fd38c335b1ff073982f9a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ELNXZHT4J5ZGDTOYOP2DSZRYHK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Past, Present and Future: Exploring Adaptive AI in Software Development Bots","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Glaucia Melo, Omar Elsisi","submitted_at":"2025-07-14T21:40:03Z","abstract_excerpt":"Conversational agents, such as chatbots and virtual assistants, have become essential in software development, boosting productivity, collaboration, and automating various tasks. This paper examines the role of adaptive AI-powered conversational agents in software development, highlighting their ability to offer dynamic, context-aware assistance to developers. Unlike traditional rule-based systems, adaptive AI agents use machine learning and natural language processing to learn from interactions and improve over time, providing more personalized and responsive help. We look at how these tools "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10822","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/2507.10822/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":"2026-07-05T11:37:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Tl6fLcnpu10a4huaMlzjppLPjiquXds39kWtNEZewNiabWIf5mhyBzGgZJg7nw9PhbK3JbtxUvCxwNQJ3XsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T01:27:18.902552Z"},"content_sha256":"c1c998a127290fc3aba9d919a4648f649f6e224a701fd3f30dda67002c94d480","schema_version":"1.0","event_id":"sha256:c1c998a127290fc3aba9d919a4648f649f6e224a701fd3f30dda67002c94d480"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK/bundle.json","state_url":"https://pith.science/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK/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":"2026-08-19T01:27:18Z","links":{"resolver":"https://pith.science/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK","bundle":"https://pith.science/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK/bundle.json","state":"https://pith.science/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ELNXZHT4J5ZGDTOYOP2DSZRYHK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ELNXZHT4J5ZGDTOYOP2DSZRYHK","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":"08fd06be6be84cbdb40b305e7feb1443385f7e42eb6ec2195d1532465b1cc2fd","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-14T21:40:03Z","title_canon_sha256":"3ed5b62001afc7fb72fd3a5eb4038c7462a5815abf6fc7828017b7ed5ebcc240"},"schema_version":"1.0","source":{"id":"2507.10822","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10822","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10822v1","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10822","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"pith_short_12","alias_value":"ELNXZHT4J5ZG","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"pith_short_16","alias_value":"ELNXZHT4J5ZGDTOY","created_at":"2026-07-05T11:37:00Z"},{"alias_kind":"pith_short_8","alias_value":"ELNXZHT4","created_at":"2026-07-05T11:37:00Z"}],"graph_snapshots":[{"event_id":"sha256:c1c998a127290fc3aba9d919a4648f649f6e224a701fd3f30dda67002c94d480","target":"graph","created_at":"2026-07-05T11:37:00Z","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/2507.10822/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conversational agents, such as chatbots and virtual assistants, have become essential in software development, boosting productivity, collaboration, and automating various tasks. This paper examines the role of adaptive AI-powered conversational agents in software development, highlighting their ability to offer dynamic, context-aware assistance to developers. Unlike traditional rule-based systems, adaptive AI agents use machine learning and natural language processing to learn from interactions and improve over time, providing more personalized and responsive help. We look at how these tools ","authors_text":"Glaucia Melo, Omar Elsisi","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-14T21:40:03Z","title":"Past, Present and Future: Exploring Adaptive AI in Software Development Bots"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10822","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":"sha256:80ec4b4e0c64f9440250c3367a8849fe60a0103ef3fd38c335b1ff073982f9a0","target":"record","created_at":"2026-07-05T11:37:00Z","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":"08fd06be6be84cbdb40b305e7feb1443385f7e42eb6ec2195d1532465b1cc2fd","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-14T21:40:03Z","title_canon_sha256":"3ed5b62001afc7fb72fd3a5eb4038c7462a5815abf6fc7828017b7ed5ebcc240"},"schema_version":"1.0","source":{"id":"2507.10822","kind":"arxiv","version":1}},"canonical_sha256":"22db7c9e7c4f7261cdd873f43966383a95572b328fcf5e6cd69d436dba5cb1f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22db7c9e7c4f7261cdd873f43966383a95572b328fcf5e6cd69d436dba5cb1f9","first_computed_at":"2026-07-05T11:37:00.256861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:00.256861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"88q6Dv0xteSzRFjSb3fGkeW7PReH2hZjRkKgHs80rYcy9XkBy5thm5MjkDqwITBJWamKzi4pc2H1DsCLupNLCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:00.257338Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.10822","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:80ec4b4e0c64f9440250c3367a8849fe60a0103ef3fd38c335b1ff073982f9a0","sha256:c1c998a127290fc3aba9d919a4648f649f6e224a701fd3f30dda67002c94d480"],"state_sha256":"88e9f8879a8c670b905531dc13f3946d9a3fd4d53e0d441a2c84bee821c06631"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BDOf84WUa5UTkd4igtxmfXDjpR461e8m6TOJsjp8VvBqWwFFY9PiUzTxJ1nAHT0C7J7+1Q7P3FDBYgvoN0yHDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T01:27:18.906840Z","bundle_sha256":"3d9937e435c93e793e972175ea955a6499b0587d7b5d113ae57168f9b3c291ad"}}