{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LRL5ZS4LZHAB5NHFCMKCKMK3I5","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":"7d75c88f19592566dbd1fe95977cbd000f0c05d741f7dcc0dd56f21de6fe9eff","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-10T14:33:44Z","title_canon_sha256":"f80a48a690bcec60e6e321c8cf9632165ea32bed163af88bbbd3dfc64d28baec"},"schema_version":"1.0","source":{"id":"2603.09731","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.09731","created_at":"2026-06-29T01:14:29Z"},{"alias_kind":"arxiv_version","alias_value":"2603.09731v3","created_at":"2026-06-29T01:14:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.09731","created_at":"2026-06-29T01:14:29Z"},{"alias_kind":"pith_short_12","alias_value":"LRL5ZS4LZHAB","created_at":"2026-06-29T01:14:29Z"},{"alias_kind":"pith_short_16","alias_value":"LRL5ZS4LZHAB5NHF","created_at":"2026-06-29T01:14:29Z"},{"alias_kind":"pith_short_8","alias_value":"LRL5ZS4L","created_at":"2026-06-29T01:14:29Z"}],"graph_snapshots":[{"event_id":"sha256:8342b60b169a6accd7f02eeee30041a37b335f45fe4d9d90d97ab9080ba3e0fa","target":"graph","created_at":"2026-06-29T01:14:29Z","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/2603.09731/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal large language models (MLLMs) are increasingly considered as a foundation for embodied agents, yet it remains unclear whether they can reliably reason about the long-term physical consequences of actions from an egocentric viewpoint. We study this gap through a new task, Egocentric Scene Prediction with LOng-horizon REasoning: given an initial-scene image and a sequence of atomic action descriptions, a model is asked to predict the final scene after all actions are executed. To enable systematic evaluation, we introduce EXPLORE-Bench, a benchmark curated from real first-person video","authors_text":"Chaoqun Du, Chengjun Yu, Pengfei Yu, Wei Zhai, Xuhan Zhu, Yang Cao, Zheng-Jun Zha","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-10T14:33:44Z","title":"EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.09731","kind":"arxiv","version":3},"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:bd78992e76c905e222bd9a2147530537f9dc308a8bc1a3878b6a031e21f5f295","target":"record","created_at":"2026-06-29T01:14:29Z","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":"7d75c88f19592566dbd1fe95977cbd000f0c05d741f7dcc0dd56f21de6fe9eff","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-10T14:33:44Z","title_canon_sha256":"f80a48a690bcec60e6e321c8cf9632165ea32bed163af88bbbd3dfc64d28baec"},"schema_version":"1.0","source":{"id":"2603.09731","kind":"arxiv","version":3}},"canonical_sha256":"5c57dccb8bc9c01eb4e5131425315b477f63a39c7186b45d23ac7690b1854a08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c57dccb8bc9c01eb4e5131425315b477f63a39c7186b45d23ac7690b1854a08","first_computed_at":"2026-06-29T01:14:29.866081Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:14:29.866081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5jlNLp2kbSSTyyldRPtd3Vp6sVMIj6Ioff80tAopFt2gJVnF4z3QDpFtaHfv6En2UcaK1Ppgg6rjPAiY69yzBA==","signature_status":"signed_v1","signed_at":"2026-06-29T01:14:29.866585Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.09731","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd78992e76c905e222bd9a2147530537f9dc308a8bc1a3878b6a031e21f5f295","sha256:8342b60b169a6accd7f02eeee30041a37b335f45fe4d9d90d97ab9080ba3e0fa"],"state_sha256":"19ba1b124017ef189fc6e409aceed7933efb3ff4bab1b9c5aaef2eed063909ed"}