{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WAY2MQTRDLM6IETC4OULWUB3DA","short_pith_number":"pith:WAY2MQTR","canonical_record":{"source":{"id":"2606.11445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T20:56:23Z","cross_cats_sorted":[],"title_canon_sha256":"ce25e1647ec4e198d3041406ff8ed0a754a65ea0d55de96bf888cbcc83ca5557","abstract_canon_sha256":"7e6bd502ee8271197e8bbb565c6769bb3503e7ead5deca572a68b46e88416977"},"schema_version":"1.0"},"canonical_sha256":"b031a642711ad9e41262e3a8bb503b183c87ed9be1317bc5076aecb913cd4300","source":{"kind":"arxiv","id":"2606.11445","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11445","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11445v1","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11445","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"WAY2MQTRDLM6","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"WAY2MQTRDLM6IETC","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"WAY2MQTR","created_at":"2026-06-11T01:09:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WAY2MQTRDLM6IETC4OULWUB3DA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.11445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T20:56:23Z","cross_cats_sorted":[],"title_canon_sha256":"ce25e1647ec4e198d3041406ff8ed0a754a65ea0d55de96bf888cbcc83ca5557","abstract_canon_sha256":"7e6bd502ee8271197e8bbb565c6769bb3503e7ead5deca572a68b46e88416977"},"schema_version":"1.0"},"canonical_sha256":"b031a642711ad9e41262e3a8bb503b183c87ed9be1317bc5076aecb913cd4300","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:09:49.126238Z","signature_b64":"xZRyXAdSgxuf6UYR/cwXUje8mREuoDA+hMJ6rwUsKI64R778OjRo9F/0ErIdsKa0rCcnqggArAEpL0bLPDl4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b031a642711ad9e41262e3a8bb503b183c87ed9be1317bc5076aecb913cd4300","last_reissued_at":"2026-06-11T01:09:49.125470Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:09:49.125470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.11445","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":"2026-06-11T01:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zTudRHh2PvGZ1A51GkToN8Cz0c8ZdBSbE/tNAo3dYd7GKIaaI6x1AxVxdU+zBZLIy9zaX66u6YUV+y+nLvCuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T00:42:53.379664Z"},"content_sha256":"e38b75c9063175949d74e6e969b1bbbe246d8d40d631af546f50230533360836","schema_version":"1.0","event_id":"sha256:e38b75c9063175949d74e6e969b1bbbe246d8d40d631af546f50230533360836"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WAY2MQTRDLM6IETC4OULWUB3DA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Forecasting Future Behavior as a Learning Task","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Asa Cooper Stickland, Mosh Levy, Yoav Goldberg","submitted_at":"2026-06-09T20:56:23Z","abstract_excerpt":"Trust in an AI system is often anchored by explanations of how it works, which one then uses to forecast its behavior on new inputs. For large reasoning models (LRMs), this conventional route is particularly difficult to follow: explanation methods for single token generations do not naturally generalize to long trajectories, and the trajectories themselves are often not faithful when read as natural language. We propose an alternative that bypasses the explanation step: treat behavior forecasting as a learnable task and train Behavior Forecasters that operates on a single reasoning trajectory"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11445","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/2606.11445/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":"2026-06-11T01:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"htoco8CQaxgKV0fXihU8/xWOOg3r/0/4PikYt0c6l70Lm//T6w7zOH9lb0HjB3oKiW2WfrxAcp4+Ms1/BC3iDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T00:42:53.380043Z"},"content_sha256":"864c688202a9beac629d2a070f900dcb0ec6e87912754fa228156c4552dd0304","schema_version":"1.0","event_id":"sha256:864c688202a9beac629d2a070f900dcb0ec6e87912754fa228156c4552dd0304"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WAY2MQTRDLM6IETC4OULWUB3DA/bundle.json","state_url":"https://pith.science/pith/WAY2MQTRDLM6IETC4OULWUB3DA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WAY2MQTRDLM6IETC4OULWUB3DA/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":"2026-06-28T00:42:53Z","links":{"resolver":"https://pith.science/pith/WAY2MQTRDLM6IETC4OULWUB3DA","bundle":"https://pith.science/pith/WAY2MQTRDLM6IETC4OULWUB3DA/bundle.json","state":"https://pith.science/pith/WAY2MQTRDLM6IETC4OULWUB3DA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WAY2MQTRDLM6IETC4OULWUB3DA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WAY2MQTRDLM6IETC4OULWUB3DA","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":"7e6bd502ee8271197e8bbb565c6769bb3503e7ead5deca572a68b46e88416977","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T20:56:23Z","title_canon_sha256":"ce25e1647ec4e198d3041406ff8ed0a754a65ea0d55de96bf888cbcc83ca5557"},"schema_version":"1.0","source":{"id":"2606.11445","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11445","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11445v1","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11445","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"WAY2MQTRDLM6","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"WAY2MQTRDLM6IETC","created_at":"2026-06-11T01:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"WAY2MQTR","created_at":"2026-06-11T01:09:49Z"}],"graph_snapshots":[{"event_id":"sha256:864c688202a9beac629d2a070f900dcb0ec6e87912754fa228156c4552dd0304","target":"graph","created_at":"2026-06-11T01:09:49Z","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/2606.11445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Trust in an AI system is often anchored by explanations of how it works, which one then uses to forecast its behavior on new inputs. For large reasoning models (LRMs), this conventional route is particularly difficult to follow: explanation methods for single token generations do not naturally generalize to long trajectories, and the trajectories themselves are often not faithful when read as natural language. We propose an alternative that bypasses the explanation step: treat behavior forecasting as a learnable task and train Behavior Forecasters that operates on a single reasoning trajectory","authors_text":"Asa Cooper Stickland, Mosh Levy, Yoav Goldberg","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T20:56:23Z","title":"Forecasting Future Behavior as a Learning Task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11445","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:e38b75c9063175949d74e6e969b1bbbe246d8d40d631af546f50230533360836","target":"record","created_at":"2026-06-11T01:09:49Z","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":"7e6bd502ee8271197e8bbb565c6769bb3503e7ead5deca572a68b46e88416977","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T20:56:23Z","title_canon_sha256":"ce25e1647ec4e198d3041406ff8ed0a754a65ea0d55de96bf888cbcc83ca5557"},"schema_version":"1.0","source":{"id":"2606.11445","kind":"arxiv","version":1}},"canonical_sha256":"b031a642711ad9e41262e3a8bb503b183c87ed9be1317bc5076aecb913cd4300","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b031a642711ad9e41262e3a8bb503b183c87ed9be1317bc5076aecb913cd4300","first_computed_at":"2026-06-11T01:09:49.125470Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:09:49.125470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xZRyXAdSgxuf6UYR/cwXUje8mREuoDA+hMJ6rwUsKI64R778OjRo9F/0ErIdsKa0rCcnqggArAEpL0bLPDl4Bw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:09:49.126238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11445","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e38b75c9063175949d74e6e969b1bbbe246d8d40d631af546f50230533360836","sha256:864c688202a9beac629d2a070f900dcb0ec6e87912754fa228156c4552dd0304"],"state_sha256":"fcc6ef5174bcf69b4c7eb8e74ad643945e9d082877814b52e8a15271292738aa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uIUFaXyh4rVJF0nRwGZ0TU4OlrcuF3VPN2jLjvJyIOUc1GRQXJD21HowoQwMk3Tg50kmd/mdx7LHBrFfXXRxAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T00:42:53.382064Z","bundle_sha256":"e104fad42c3e9260a0960ce1ebd88ab5d947ac5f9c652128947a1a55b87fd359"}}