{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3BS4ZQTCZ4QU4RYJKPGPZ4EFQ3","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":"5b1f6b80bb1a198df2a389e79a89f62e0ac3807a41a6d7c109041147bb969844","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T21:50:49Z","title_canon_sha256":"670dbce44a3641e7ae0536b244f26c3615874c40c3d98ab636e192b76757f823"},"schema_version":"1.0","source":{"id":"2607.00218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00218","created_at":"2026-07-02T00:18:39Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00218v1","created_at":"2026-07-02T00:18:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00218","created_at":"2026-07-02T00:18:39Z"},{"alias_kind":"pith_short_12","alias_value":"3BS4ZQTCZ4QU","created_at":"2026-07-02T00:18:39Z"},{"alias_kind":"pith_short_16","alias_value":"3BS4ZQTCZ4QU4RYJ","created_at":"2026-07-02T00:18:39Z"},{"alias_kind":"pith_short_8","alias_value":"3BS4ZQTC","created_at":"2026-07-02T00:18:39Z"}],"graph_snapshots":[{"event_id":"sha256:2ae21caa4dda82abb231826cb537611e081f41353f997aaa3ef6e0f4da5f8676","target":"graph","created_at":"2026-07-02T00:18:39Z","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/2607.00218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) are now proposed as runtime safety guards for embodied agents in homes and factories. A deployable guard must catch genuinely unsafe situations while avoiding unnecessary intervention on routine but superficially alarming activity, a distinction that binary safety benchmarks obscure. We introduce EgoSafetyBench, an egocentric video benchmark of 1,200 robot-view scenarios annotated at half-second granularity, to evaluate VLMs as streaming guards across two tracks. The situational track (800 scenarios) spans four families, from routine and safe-but-suspicious scenes","authors_text":"Arth Singh, Chaeyun Kim, Dasol Choi, Haon Park, Mijin Koo, Siddhant Panpatil","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T21:50:49Z","title":"EgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00218","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":"sha256:0bde97387eddd6126599a769ee0ae9923351b46ab28afaddade5c61a73f4e9dd","target":"record","created_at":"2026-07-02T00:18:39Z","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":"5b1f6b80bb1a198df2a389e79a89f62e0ac3807a41a6d7c109041147bb969844","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T21:50:49Z","title_canon_sha256":"670dbce44a3641e7ae0536b244f26c3615874c40c3d98ab636e192b76757f823"},"schema_version":"1.0","source":{"id":"2607.00218","kind":"arxiv","version":1}},"canonical_sha256":"d865ccc262cf214e470953ccfcf08586fead62c2444cd3bd683beb8199f5712b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d865ccc262cf214e470953ccfcf08586fead62c2444cd3bd683beb8199f5712b","first_computed_at":"2026-07-02T00:18:39.667957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T00:18:39.667957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1M7TeFdf/rPgXhw647yvcsnuE9UXCjN4NTHo7TBe3Fdy9BOuuUHxyOLp1SZAc2cV0Cz62ePr2i9JPsZeJdrlBg==","signature_status":"signed_v1","signed_at":"2026-07-02T00:18:39.668858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0bde97387eddd6126599a769ee0ae9923351b46ab28afaddade5c61a73f4e9dd","sha256:2ae21caa4dda82abb231826cb537611e081f41353f997aaa3ef6e0f4da5f8676"],"state_sha256":"6a9ea7257a76137406cc72880cccaa1b00f3a50517e60ba47e7121bfe77672a8"}