{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KYL4HAUB76NNNEALZ6V3G2YIII","short_pith_number":"pith:KYL4HAUB","canonical_record":{"source":{"id":"2603.25399","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-26T12:47:51Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"0b6714f2fcf664672524104f2f12117ee6e9d0eed4636ba44443da57af5f4ce0","abstract_canon_sha256":"7f5d5bf9b1bc3bfce65048b25005307183d96797ba430586a6cbb6b804ac77d7"},"schema_version":"1.0"},"canonical_sha256":"5617c38281ff9ad6900bcfabb36b084211375f5e8990fd838d4bc65dee726f75","source":{"kind":"arxiv","id":"2603.25399","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.25399","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"arxiv_version","alias_value":"2603.25399v2","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.25399","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"pith_short_12","alias_value":"KYL4HAUB76NN","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"pith_short_16","alias_value":"KYL4HAUB76NNNEAL","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"pith_short_8","alias_value":"KYL4HAUB","created_at":"2026-07-01T01:17:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KYL4HAUB76NNNEALZ6V3G2YIII","target":"record","payload":{"canonical_record":{"source":{"id":"2603.25399","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-26T12:47:51Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"0b6714f2fcf664672524104f2f12117ee6e9d0eed4636ba44443da57af5f4ce0","abstract_canon_sha256":"7f5d5bf9b1bc3bfce65048b25005307183d96797ba430586a6cbb6b804ac77d7"},"schema_version":"1.0"},"canonical_sha256":"5617c38281ff9ad6900bcfabb36b084211375f5e8990fd838d4bc65dee726f75","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:17:49.580972Z","signature_b64":"O9nVVEdzGqFV/6sm6khiL7Oqf1ZdiPhaBZCA4AE7Q3zAgcQLYosetIqMkmSH+14HNw629ocoMRQOykduCzEwDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5617c38281ff9ad6900bcfabb36b084211375f5e8990fd838d4bc65dee726f75","last_reissued_at":"2026-07-01T01:17:49.580533Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:17:49.580533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.25399","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-01T01:17:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HpgF/l8jBkeGWvb55T5dzimzDYrqyqmwsu3NQ5jSNnXnDMGVatKvysShCIHv+IseIH9thHBe3N6U0PbtIU/jAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T07:38:04.175538Z"},"content_sha256":"214da76f2d394354dbf7a5ae562e66b31d9e2243bda64308e42e443cf01f18b6","schema_version":"1.0","event_id":"sha256:214da76f2d394354dbf7a5ae562e66b31d9e2243bda64308e42e443cf01f18b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KYL4HAUB76NNNEALZ6V3G2YIII","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Cewu Lu, Chenyi Wang, Fucheng Zhang, Jialin Tian, Lifeng Zhu, Lixin Yang, Mingzhe Ye, Xinkai Wang, Xinyu Zhan, Yifu Xu","submitted_at":"2026-03-26T12:47:51Z","abstract_excerpt":"We introduce \\textbf{LaMP}, a dual-expert Vision-Language-Action framework that embeds dense 3D scene flow as a latent motion prior for robotic manipulation.Existing VLA models regress actions directly from 2D semantic visual features, forcing them to learn complex 3D physical interactions implicitly.This implicit learning strategy degrades under unfamiliar spatial dynamics.LaMP addresses this limitation by aligning a flow-matching \\emph{Motion Expert} with a policy-predicting \\emph{Action Expert} through gated cross-attention.Specifically, the Motion Expert generates a one-step partially deno"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.25399","kind":"arxiv","version":2},"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/2603.25399/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":"2026-07-01T01:17:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3W3HuZXRm6P1BJGas+nKWmIn03e1/BCTFKbQmwCgPN78g6hzFWPwUyppjPQN3Yyo+lAH/WdfL4ANwtAS/bn2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T07:38:04.175926Z"},"content_sha256":"a6ff8d67febb15cba4cb57b368c70ab88b69939f89783bee709853eee75ed140","schema_version":"1.0","event_id":"sha256:a6ff8d67febb15cba4cb57b368c70ab88b69939f89783bee709853eee75ed140"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KYL4HAUB76NNNEALZ6V3G2YIII/bundle.json","state_url":"https://pith.science/pith/KYL4HAUB76NNNEALZ6V3G2YIII/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KYL4HAUB76NNNEALZ6V3G2YIII/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":"2026-07-03T07:38:04Z","links":{"resolver":"https://pith.science/pith/KYL4HAUB76NNNEALZ6V3G2YIII","bundle":"https://pith.science/pith/KYL4HAUB76NNNEALZ6V3G2YIII/bundle.json","state":"https://pith.science/pith/KYL4HAUB76NNNEALZ6V3G2YIII/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KYL4HAUB76NNNEALZ6V3G2YIII/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KYL4HAUB76NNNEALZ6V3G2YIII","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":"7f5d5bf9b1bc3bfce65048b25005307183d96797ba430586a6cbb6b804ac77d7","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-26T12:47:51Z","title_canon_sha256":"0b6714f2fcf664672524104f2f12117ee6e9d0eed4636ba44443da57af5f4ce0"},"schema_version":"1.0","source":{"id":"2603.25399","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.25399","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"arxiv_version","alias_value":"2603.25399v2","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.25399","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"pith_short_12","alias_value":"KYL4HAUB76NN","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"pith_short_16","alias_value":"KYL4HAUB76NNNEAL","created_at":"2026-07-01T01:17:49Z"},{"alias_kind":"pith_short_8","alias_value":"KYL4HAUB","created_at":"2026-07-01T01:17:49Z"}],"graph_snapshots":[{"event_id":"sha256:a6ff8d67febb15cba4cb57b368c70ab88b69939f89783bee709853eee75ed140","target":"graph","created_at":"2026-07-01T01:17:49Z","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/2603.25399/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce \\textbf{LaMP}, a dual-expert Vision-Language-Action framework that embeds dense 3D scene flow as a latent motion prior for robotic manipulation.Existing VLA models regress actions directly from 2D semantic visual features, forcing them to learn complex 3D physical interactions implicitly.This implicit learning strategy degrades under unfamiliar spatial dynamics.LaMP addresses this limitation by aligning a flow-matching \\emph{Motion Expert} with a policy-predicting \\emph{Action Expert} through gated cross-attention.Specifically, the Motion Expert generates a one-step partially deno","authors_text":"Cewu Lu, Chenyi Wang, Fucheng Zhang, Jialin Tian, Lifeng Zhu, Lixin Yang, Mingzhe Ye, Xinkai Wang, Xinyu Zhan, Yifu Xu","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-26T12:47:51Z","title":"LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.25399","kind":"arxiv","version":2},"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":"sha256:214da76f2d394354dbf7a5ae562e66b31d9e2243bda64308e42e443cf01f18b6","target":"record","created_at":"2026-07-01T01:17:49Z","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":"7f5d5bf9b1bc3bfce65048b25005307183d96797ba430586a6cbb6b804ac77d7","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-26T12:47:51Z","title_canon_sha256":"0b6714f2fcf664672524104f2f12117ee6e9d0eed4636ba44443da57af5f4ce0"},"schema_version":"1.0","source":{"id":"2603.25399","kind":"arxiv","version":2}},"canonical_sha256":"5617c38281ff9ad6900bcfabb36b084211375f5e8990fd838d4bc65dee726f75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5617c38281ff9ad6900bcfabb36b084211375f5e8990fd838d4bc65dee726f75","first_computed_at":"2026-07-01T01:17:49.580533Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:17:49.580533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O9nVVEdzGqFV/6sm6khiL7Oqf1ZdiPhaBZCA4AE7Q3zAgcQLYosetIqMkmSH+14HNw629ocoMRQOykduCzEwDg==","signature_status":"signed_v1","signed_at":"2026-07-01T01:17:49.580972Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.25399","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:214da76f2d394354dbf7a5ae562e66b31d9e2243bda64308e42e443cf01f18b6","sha256:a6ff8d67febb15cba4cb57b368c70ab88b69939f89783bee709853eee75ed140"],"state_sha256":"9d4f86eb75ba7ac6dcd19c054147f1c772e49195cd191887530662b276f47e96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B9ibAITYUrpnEfe6HTY673Em7iCUUYC3BB5bCmdpOi5YzMlvHxic3AEva8x7LSati+p8Xezejv9/BvcDDl3EBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T07:38:04.178028Z","bundle_sha256":"669d92f104f1ade8e72c6342194e366415ae4de080ab0064342d54d510635684"}}