{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AL4EH5SDLY6V5RB3EVIF4O7PJZ","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":"77d7385786b7b57be2aa9afab99929604a0db01da7913fb98ef0981c24512b38","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-25T19:05:44Z","title_canon_sha256":"9d86e7150567ac7907de11754ee510b550b2dc8050f6b467203a01bb72d41a1a"},"schema_version":"1.0","source":{"id":"2606.27483","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27483","created_at":"2026-06-29T00:14:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27483v1","created_at":"2026-06-29T00:14:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27483","created_at":"2026-06-29T00:14:07Z"},{"alias_kind":"pith_short_12","alias_value":"AL4EH5SDLY6V","created_at":"2026-06-29T00:14:07Z"},{"alias_kind":"pith_short_16","alias_value":"AL4EH5SDLY6V5RB3","created_at":"2026-06-29T00:14:07Z"},{"alias_kind":"pith_short_8","alias_value":"AL4EH5SD","created_at":"2026-06-29T00:14:07Z"}],"graph_snapshots":[{"event_id":"sha256:dd8b338490ab12cd1c14a1291bb88cff0518df7976e8de140c4a85b308972d57","target":"graph","created_at":"2026-06-29T00:14:07Z","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/2606.27483/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language model (LLM) agents have demonstrated strong capability in sequential decision-making, yet they remains fundamentally reactive in long-horizon tasks. Unlike humans who employ \"what-if\" reasoning to evaluate potential plans before commitment, standard agents lack an internal world model to simulate future outcomes. Therefore, we propose to internalize future-aware planning by training a single autoregressive model to verbalize both a prospective state rollout and a plan-conditioned success estimate-a textual analogue of the Q-value. Crucially, we identify a format-capability gap: ","authors_text":"Chao Qu, Ke Li, Lingfeng Qiao, Xiaoyu Tan, Xing Sun, Xuan Zhang, Yuan Qi, Yulei Qin, Zhijian Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-25T19:05:44Z","title":"Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27483","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":"sha256:454582158d5c71d82bd1f6ca0a487aa51183a6c4fb7ec29531d8ea6b88f1be44","target":"record","created_at":"2026-06-29T00:14:07Z","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":"77d7385786b7b57be2aa9afab99929604a0db01da7913fb98ef0981c24512b38","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-25T19:05:44Z","title_canon_sha256":"9d86e7150567ac7907de11754ee510b550b2dc8050f6b467203a01bb72d41a1a"},"schema_version":"1.0","source":{"id":"2606.27483","kind":"arxiv","version":1}},"canonical_sha256":"02f843f6435e3d5ec43b25505e3bef4e7852891a07fb7e52d1ba316173ed9665","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02f843f6435e3d5ec43b25505e3bef4e7852891a07fb7e52d1ba316173ed9665","first_computed_at":"2026-06-29T00:14:07.903886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T00:14:07.903886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GeJv2ToxEUzNpo0XkPzBC7c3yjAQT+TufhBECpXD2y9we6LPP32MtNRUbl0C5FIsKYk1vXPkHrxjZSIUZqs/Bw==","signature_status":"signed_v1","signed_at":"2026-06-29T00:14:07.904269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27483","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:454582158d5c71d82bd1f6ca0a487aa51183a6c4fb7ec29531d8ea6b88f1be44","sha256:dd8b338490ab12cd1c14a1291bb88cff0518df7976e8de140c4a85b308972d57"],"state_sha256":"426fb9cb079ec9baf2b0c0e32c0a9aa98b99645428e293d8480b24adbb34ffeb"}