{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CKIEIOXWKVLF6JA7AOXMPRKCWP","short_pith_number":"pith:CKIEIOXW","canonical_record":{"source":{"id":"2606.01810","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-01T07:27:39Z","cross_cats_sorted":[],"title_canon_sha256":"b2241e1035a5bb529e3e33e9e1a09b0e4f18ede312387b96eae6853356cbe64e","abstract_canon_sha256":"ac1b0f3876bc621328b895a1d08c973b347667e8b95c01c149b287adca3751f5"},"schema_version":"1.0"},"canonical_sha256":"1290443af655565f241f03aec7c542b3f9bdbec2ec8eb266a896b387c5129530","source":{"kind":"arxiv","id":"2606.01810","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01810","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01810v1","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01810","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"CKIEIOXWKVLF","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"CKIEIOXWKVLF6JA7","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"CKIEIOXW","created_at":"2026-06-02T02:04:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CKIEIOXWKVLF6JA7AOXMPRKCWP","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01810","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-01T07:27:39Z","cross_cats_sorted":[],"title_canon_sha256":"b2241e1035a5bb529e3e33e9e1a09b0e4f18ede312387b96eae6853356cbe64e","abstract_canon_sha256":"ac1b0f3876bc621328b895a1d08c973b347667e8b95c01c149b287adca3751f5"},"schema_version":"1.0"},"canonical_sha256":"1290443af655565f241f03aec7c542b3f9bdbec2ec8eb266a896b387c5129530","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:57.513227Z","signature_b64":"JU0EiA3VevsCUG05uxD6mpzxCGgHtyz3Z6qboPeq6YfmhxOBQ7ZLc5VugCW+AlazYM7fy5rgjfo3ujJ6H+U9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1290443af655565f241f03aec7c542b3f9bdbec2ec8eb266a896b387c5129530","last_reissued_at":"2026-06-02T02:04:57.512820Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:57.512820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01810","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":"2026-06-02T02:04:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZDi//AKE53Pq8KCEc1nZ+4JbW36KLxAih7jLsdedv7oQn77Wvpkb/nljFD+niE5AUn5lis1dBaNh+IwmLk9EAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:11:55.290688Z"},"content_sha256":"448d322181f97e873ddcac95983a5428eb616f5668c8f3e2a8045607a5c46a9a","schema_version":"1.0","event_id":"sha256:448d322181f97e873ddcac95983a5428eb616f5668c8f3e2a8045607a5c46a9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CKIEIOXWKVLF6JA7AOXMPRKCWP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Token Predictors Are Not Planners: Building Physically Grounded Causal Reasoners","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bei Liu, Chong Luo, Hanwen Cui, Heng Cao, Mingqi Gao, Qinlei Xie, Wanqi Zhong, Yifan Yang, Yiming Li, Zheng Lu, Zirui Song","submitted_at":"2026-06-01T07:27:39Z","abstract_excerpt":"Current benchmarks for embodied vision-language planning often favor linguistic next-token prediction over physically grounded next-state reasoning. This rewards models that mimic statistical language priors rather than track causal dependencies, reducing physical planning to shallow sequence modeling. We argue that reliable physical autonomy requires a shift from linguistically grounded token prediction toward physically grounded causal reasoning. To this end, we introduce Causal-Plan-Bench, a high-fidelity diagnostic suite curated through multi-stage verification to evaluate embodied plannin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01810","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/2606.01810/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":"2026-06-02T02:04:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PDKji8ewL8sTCuu7z72jBPnChQBtEuAvy7EVmLtuqHw06vkRQUsWG1Y2NR8kvnvBUBokBzEz7bANY0cJUt++CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:11:55.291074Z"},"content_sha256":"56abffc87ab5bfd1db26597b3f15084e57c35a829513881dc245b7b329a9ecc9","schema_version":"1.0","event_id":"sha256:56abffc87ab5bfd1db26597b3f15084e57c35a829513881dc245b7b329a9ecc9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP/bundle.json","state_url":"https://pith.science/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP/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":"2026-06-03T08:11:55Z","links":{"resolver":"https://pith.science/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP","bundle":"https://pith.science/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP/bundle.json","state":"https://pith.science/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKIEIOXWKVLF6JA7AOXMPRKCWP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CKIEIOXWKVLF6JA7AOXMPRKCWP","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":"ac1b0f3876bc621328b895a1d08c973b347667e8b95c01c149b287adca3751f5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-01T07:27:39Z","title_canon_sha256":"b2241e1035a5bb529e3e33e9e1a09b0e4f18ede312387b96eae6853356cbe64e"},"schema_version":"1.0","source":{"id":"2606.01810","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01810","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01810v1","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01810","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"pith_short_12","alias_value":"CKIEIOXWKVLF","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"pith_short_16","alias_value":"CKIEIOXWKVLF6JA7","created_at":"2026-06-02T02:04:57Z"},{"alias_kind":"pith_short_8","alias_value":"CKIEIOXW","created_at":"2026-06-02T02:04:57Z"}],"graph_snapshots":[{"event_id":"sha256:56abffc87ab5bfd1db26597b3f15084e57c35a829513881dc245b7b329a9ecc9","target":"graph","created_at":"2026-06-02T02:04:57Z","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/2606.01810/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current benchmarks for embodied vision-language planning often favor linguistic next-token prediction over physically grounded next-state reasoning. This rewards models that mimic statistical language priors rather than track causal dependencies, reducing physical planning to shallow sequence modeling. We argue that reliable physical autonomy requires a shift from linguistically grounded token prediction toward physically grounded causal reasoning. To this end, we introduce Causal-Plan-Bench, a high-fidelity diagnostic suite curated through multi-stage verification to evaluate embodied plannin","authors_text":"Bei Liu, Chong Luo, Hanwen Cui, Heng Cao, Mingqi Gao, Qinlei Xie, Wanqi Zhong, Yifan Yang, Yiming Li, Zheng Lu, Zirui Song","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-01T07:27:39Z","title":"Token Predictors Are Not Planners: Building Physically Grounded Causal Reasoners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01810","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":"sha256:448d322181f97e873ddcac95983a5428eb616f5668c8f3e2a8045607a5c46a9a","target":"record","created_at":"2026-06-02T02:04:57Z","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":"ac1b0f3876bc621328b895a1d08c973b347667e8b95c01c149b287adca3751f5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-01T07:27:39Z","title_canon_sha256":"b2241e1035a5bb529e3e33e9e1a09b0e4f18ede312387b96eae6853356cbe64e"},"schema_version":"1.0","source":{"id":"2606.01810","kind":"arxiv","version":1}},"canonical_sha256":"1290443af655565f241f03aec7c542b3f9bdbec2ec8eb266a896b387c5129530","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1290443af655565f241f03aec7c542b3f9bdbec2ec8eb266a896b387c5129530","first_computed_at":"2026-06-02T02:04:57.512820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:57.512820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JU0EiA3VevsCUG05uxD6mpzxCGgHtyz3Z6qboPeq6YfmhxOBQ7ZLc5VugCW+AlazYM7fy5rgjfo3ujJ6H+U9Dg==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:57.513227Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01810","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:448d322181f97e873ddcac95983a5428eb616f5668c8f3e2a8045607a5c46a9a","sha256:56abffc87ab5bfd1db26597b3f15084e57c35a829513881dc245b7b329a9ecc9"],"state_sha256":"1372cf7cd801eb3a78aab3a67131db6eff67fc3a1d60e0ba89ae1f8a3c09840b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sOzGetmU+YzPAGm8kRUUx+EK86bhS1+QGqAd5zYAbDLwTJHAHX04drNL1BJGJf3UZtPhcanbUJiG3z3672o/CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T08:11:55.293295Z","bundle_sha256":"d42c8d77c6af75c23313af4ed5995a8e6156db71e1e660eb8445cf047484fafb"}}