{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:76EHTETY7BIIZ6ZHNOHLWKXTHV","short_pith_number":"pith:76EHTETY","canonical_record":{"source":{"id":"2607.01457","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T20:22:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e5df7c8530edc4d40bac6b1333d36885f61c2d176619d0ffdb6c38cd801761b6","abstract_canon_sha256":"504ab8a65fe9a100e9b0d19f950568a518074cfec99d0c928eb9cee2c9d288c5"},"schema_version":"1.0"},"canonical_sha256":"ff88799278f8508cfb276b8ebb2af33d60159abff3327968d4067e8dfae4908a","source":{"kind":"arxiv","id":"2607.01457","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01457","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01457v1","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01457","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"pith_short_12","alias_value":"76EHTETY7BII","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"pith_short_16","alias_value":"76EHTETY7BIIZ6ZH","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"pith_short_8","alias_value":"76EHTETY","created_at":"2026-07-03T00:17:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:76EHTETY7BIIZ6ZHNOHLWKXTHV","target":"record","payload":{"canonical_record":{"source":{"id":"2607.01457","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T20:22:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e5df7c8530edc4d40bac6b1333d36885f61c2d176619d0ffdb6c38cd801761b6","abstract_canon_sha256":"504ab8a65fe9a100e9b0d19f950568a518074cfec99d0c928eb9cee2c9d288c5"},"schema_version":"1.0"},"canonical_sha256":"ff88799278f8508cfb276b8ebb2af33d60159abff3327968d4067e8dfae4908a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T00:17:00.762986Z","signature_b64":"0T1FfEcRmJhY5qcioi97JQAaPsCdHf3fZ/AyOexKQo7LcSvHuej9qDvam/aWC97clVeFH8rmnf+cpzCCOG58Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff88799278f8508cfb276b8ebb2af33d60159abff3327968d4067e8dfae4908a","last_reissued_at":"2026-07-03T00:17:00.762482Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T00:17:00.762482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.01457","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":"2026-07-03T00:17:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4nLEhANsKZdrxwmy9ETyzdQyEQZonV0kKa4ELw9FICg8rvlwKyEe0cIOHnsoSZYfqIXY150w32vXPTMilkBdBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:51:03.451247Z"},"content_sha256":"d8dbe0143a06adedbe7e6a1073a5a774c114b86c79bde5a72a3c397d5db4a8e1","schema_version":"1.0","event_id":"sha256:d8dbe0143a06adedbe7e6a1073a5a774c114b86c79bde5a72a3c397d5db4a8e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:76EHTETY7BIIZ6ZHNOHLWKXTHV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Adarsh Agrawal, Shashank Indukuri","submitted_at":"2026-07-01T20:22:18Z","abstract_excerpt":"Large language models (LLMs) are increasingly applied to resume optimization for applicant tracking systems, introducing hallucination failures distinct from general text generation: anachronistic technology injection, cross-domain terminology contamination, structural mutation, and content fabrication. We present Grounded Optimization, a five-layer framework combining temporal context validation, deterministic contamination detection, structural invariant enforcement, prompt-level grounding, and an evaluator agent.\n  In ablation experiments across three LLMs, four temperature settings, and si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01457","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/2607.01457/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":"2026-07-03T00:17:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ay/kH19wf8U0JXhu55pezK77lx7g4oyp50kN4+BKstwjtWepyd6X2lMDy631UdAcgADgltRnQedjkZseWmk7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:51:03.452506Z"},"content_sha256":"9eb01ff5ba512e3fca22eee970b1938f70338509c51028c1de8fab50dd16b6d1","schema_version":"1.0","event_id":"sha256:9eb01ff5ba512e3fca22eee970b1938f70338509c51028c1de8fab50dd16b6d1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV/bundle.json","state_url":"https://pith.science/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV/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":"2026-08-03T15:51:03Z","links":{"resolver":"https://pith.science/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV","bundle":"https://pith.science/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV/bundle.json","state":"https://pith.science/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/76EHTETY7BIIZ6ZHNOHLWKXTHV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:76EHTETY7BIIZ6ZHNOHLWKXTHV","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":"504ab8a65fe9a100e9b0d19f950568a518074cfec99d0c928eb9cee2c9d288c5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T20:22:18Z","title_canon_sha256":"e5df7c8530edc4d40bac6b1333d36885f61c2d176619d0ffdb6c38cd801761b6"},"schema_version":"1.0","source":{"id":"2607.01457","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01457","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01457v1","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01457","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"pith_short_12","alias_value":"76EHTETY7BII","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"pith_short_16","alias_value":"76EHTETY7BIIZ6ZH","created_at":"2026-07-03T00:17:00Z"},{"alias_kind":"pith_short_8","alias_value":"76EHTETY","created_at":"2026-07-03T00:17:00Z"}],"graph_snapshots":[{"event_id":"sha256:9eb01ff5ba512e3fca22eee970b1938f70338509c51028c1de8fab50dd16b6d1","target":"graph","created_at":"2026-07-03T00:17:00Z","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/2607.01457/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly applied to resume optimization for applicant tracking systems, introducing hallucination failures distinct from general text generation: anachronistic technology injection, cross-domain terminology contamination, structural mutation, and content fabrication. We present Grounded Optimization, a five-layer framework combining temporal context validation, deterministic contamination detection, structural invariant enforcement, prompt-level grounding, and an evaluator agent.\n  In ablation experiments across three LLMs, four temperature settings, and si","authors_text":"Adarsh Agrawal, Shashank Indukuri","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T20:22:18Z","title":"Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01457","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:d8dbe0143a06adedbe7e6a1073a5a774c114b86c79bde5a72a3c397d5db4a8e1","target":"record","created_at":"2026-07-03T00:17:00Z","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":"504ab8a65fe9a100e9b0d19f950568a518074cfec99d0c928eb9cee2c9d288c5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T20:22:18Z","title_canon_sha256":"e5df7c8530edc4d40bac6b1333d36885f61c2d176619d0ffdb6c38cd801761b6"},"schema_version":"1.0","source":{"id":"2607.01457","kind":"arxiv","version":1}},"canonical_sha256":"ff88799278f8508cfb276b8ebb2af33d60159abff3327968d4067e8dfae4908a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff88799278f8508cfb276b8ebb2af33d60159abff3327968d4067e8dfae4908a","first_computed_at":"2026-07-03T00:17:00.762482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T00:17:00.762482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0T1FfEcRmJhY5qcioi97JQAaPsCdHf3fZ/AyOexKQo7LcSvHuej9qDvam/aWC97clVeFH8rmnf+cpzCCOG58Bg==","signature_status":"signed_v1","signed_at":"2026-07-03T00:17:00.762986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01457","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8dbe0143a06adedbe7e6a1073a5a774c114b86c79bde5a72a3c397d5db4a8e1","sha256:9eb01ff5ba512e3fca22eee970b1938f70338509c51028c1de8fab50dd16b6d1"],"state_sha256":"0c80046b7b28718857e9c7806084bc58e96ef6b92177fad6023a2089bfbd31d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dXtW6/++LUUVILVI7kgVbSHqlRRPhb5gFBYAcPvA7frY5lk8Dfornptwl67qSCKIxcMhpOp9JMq/knVb6de3Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:51:03.462049Z","bundle_sha256":"b3275d221231b5d463d6402c480e29974de44aec2d5ac7f687aa9e5dcae79e39"}}