{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NO4I76EFFP5ND6EGPXASE2D63Z","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":"83e3c650db0082a122f7b597442459ec021f01c70bed02c0efca40411b1ead8b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-07-11T21:54:20Z","title_canon_sha256":"51611e12f56a266277e703cc012d3bb092c8984f97f316863637da202ee065a0"},"schema_version":"1.0","source":{"id":"2607.10490","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10490","created_at":"2026-07-14T01:21:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10490v1","created_at":"2026-07-14T01:21:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10490","created_at":"2026-07-14T01:21:18Z"},{"alias_kind":"pith_short_12","alias_value":"NO4I76EFFP5N","created_at":"2026-07-14T01:21:18Z"},{"alias_kind":"pith_short_16","alias_value":"NO4I76EFFP5ND6EG","created_at":"2026-07-14T01:21:18Z"},{"alias_kind":"pith_short_8","alias_value":"NO4I76EF","created_at":"2026-07-14T01:21:18Z"}],"graph_snapshots":[{"event_id":"sha256:08cd7adf86bfae60ae040735617ae92bafd9f1c9b024593c277dc00aede4aecf","target":"graph","created_at":"2026-07-14T01:21:18Z","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/2607.10490/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tool-using large language model (LLM) agents are attractive for network operations, but tickets, alerts, logs, runbooks, and ChatOps messages can carry indirect prompt injections. We present NetInjectBench, a 130-scenario benchmark that separates untrusted artifact text, trusted policy metadata, and evaluation labels for network-operation tool use. The sample contains 40 benign, 40 weak-attack, 40 strong-attack, and 10 approved high-impact change scenarios; each is evaluated with Qwen2.5-7B, Llama3.1-8B, and Mistral-7B. Across 240 attack instances, naive execution reached an 82.50% unsafe tool","authors_text":"M. F. Mridha, Muhammad Faraz Shoaib, Ruksat Khan Shayoni, S M Asif Hossain","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-07-11T21:54:20Z","title":"NetInjectBench: Benchmarking Indirect Prompt Injection in Tool-Using Large Language Model Agents for Network Operations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10490","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:d3243ba072340a4a3e75f0877896bc07d41f32ab379f70be08a82f9aae6b6810","target":"record","created_at":"2026-07-14T01:21:18Z","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":"83e3c650db0082a122f7b597442459ec021f01c70bed02c0efca40411b1ead8b","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-07-11T21:54:20Z","title_canon_sha256":"51611e12f56a266277e703cc012d3bb092c8984f97f316863637da202ee065a0"},"schema_version":"1.0","source":{"id":"2607.10490","kind":"arxiv","version":1}},"canonical_sha256":"6bb88ff8852bfad1f8867dc122687ede73538bc6b386b06293fe3407241233b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6bb88ff8852bfad1f8867dc122687ede73538bc6b386b06293fe3407241233b7","first_computed_at":"2026-07-14T01:21:18.172418Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:21:18.172418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0NTEzEW1+Is+Gp4PIWlymUxBOjqTuWA4Y95vAdksgC1hcp+ngcwvT+d2ydovaGUzsWATXUvL1U44Zx97o75HAw==","signature_status":"signed_v1","signed_at":"2026-07-14T01:21:18.173277Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.10490","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3243ba072340a4a3e75f0877896bc07d41f32ab379f70be08a82f9aae6b6810","sha256:08cd7adf86bfae60ae040735617ae92bafd9f1c9b024593c277dc00aede4aecf"],"state_sha256":"0a162584161c79189acbd0e3403899df6a75ecaef0caea8099e0078ea6e76aa1"}