{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:67BUHBZKA5NCCW56QGCA7TW54T","short_pith_number":"pith:67BUHBZK","canonical_record":{"source":{"id":"2607.14739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T09:04:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"596a9ac1ab75ae69eb118c6a8035f2deeb3e3d9fdd135810a4a4f2d0c616bc64","abstract_canon_sha256":"1cbacc0b45f12991c0712482f96c01e13dbde18504cd9b5d4ae1237b082408a6"},"schema_version":"1.0"},"canonical_sha256":"f7c343872a075a215bbe81840fcedde4df441bdd5331d935ae282547b5a5136b","source":{"kind":"arxiv","id":"2607.14739","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14739","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14739v1","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14739","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"67BUHBZKA5NC","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"67BUHBZKA5NCCW56","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"67BUHBZK","created_at":"2026-07-17T01:21:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:67BUHBZKA5NCCW56QGCA7TW54T","target":"record","payload":{"canonical_record":{"source":{"id":"2607.14739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T09:04:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"596a9ac1ab75ae69eb118c6a8035f2deeb3e3d9fdd135810a4a4f2d0c616bc64","abstract_canon_sha256":"1cbacc0b45f12991c0712482f96c01e13dbde18504cd9b5d4ae1237b082408a6"},"schema_version":"1.0"},"canonical_sha256":"f7c343872a075a215bbe81840fcedde4df441bdd5331d935ae282547b5a5136b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-17T01:21:28.606444Z","signature_b64":"70DdS+iX8CxMoiwSejsuGtOMo8O1bIZxVvsDuijjza6RoFb2gKjv8JJKFaavo5LTwyUI8TFrHNsyOm8YJYrzCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7c343872a075a215bbe81840fcedde4df441bdd5331d935ae282547b5a5136b","last_reissued_at":"2026-07-17T01:21:28.605589Z","signature_status":"signed_v1","first_computed_at":"2026-07-17T01:21:28.605589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.14739","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":"2026-07-17T01:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lm/TY7nO4WVwugsB+u/Bnesiv49sA671zrTbysrW26CPcKCdUsZmX0c9tHYEmyVXGtZI3bywNb7xSdUmSdwtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:00.747419Z"},"content_sha256":"b73f506f68126a73cbced28e457e6bc4fd81803fc8cb90a1267eab21c6214506","schema_version":"1.0","event_id":"sha256:b73f506f68126a73cbced28e457e6bc4fd81803fc8cb90a1267eab21c6214506"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:67BUHBZKA5NCCW56QGCA7TW54T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bailin Li, Han Hong, Kun Zhan, Peijin Jia, Sheng Sun, Titong Jiang, Wei Li, Xin Wen, Xuefeng Jiang, Yuan Ma, Yujian Li, Zhikang Liu","submitted_at":"2026-07-16T09:04:50Z","abstract_excerpt":"Vision-Language-Action (VLA) models have achieved impressive results in visuomotor policy learning, yet remain fundamentally reactive, mapping current observations and language to actions without explicit forward prediction of world dynamics. Existing visual foresight methods predict future visual states but lack explicit motion guidance: they show where to go but not how to get there. We argue that future feature prediction and sparse point tracking are naturally complementary: the former provides the goal state, while the latter captures the continuous motion path toward it. We propose FoMoV"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14739","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/2607.14739/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":"2026-07-17T01:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hq2B/GgzjSla77S+PvJQcLASxV6xrSI5jWbe79MeQyHtCJU1tM0OhD4/RSxP+LQrEJdWXUPUy16fXoMo8pd5Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:00.748344Z"},"content_sha256":"8a434c1e914a892d86b485be33e198969d503bd41af37ad0ed2aac837c2ad7a4","schema_version":"1.0","event_id":"sha256:8a434c1e914a892d86b485be33e198969d503bd41af37ad0ed2aac837c2ad7a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/67BUHBZKA5NCCW56QGCA7TW54T/bundle.json","state_url":"https://pith.science/pith/67BUHBZKA5NCCW56QGCA7TW54T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/67BUHBZKA5NCCW56QGCA7TW54T/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":"2026-08-06T02:17:00Z","links":{"resolver":"https://pith.science/pith/67BUHBZKA5NCCW56QGCA7TW54T","bundle":"https://pith.science/pith/67BUHBZKA5NCCW56QGCA7TW54T/bundle.json","state":"https://pith.science/pith/67BUHBZKA5NCCW56QGCA7TW54T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/67BUHBZKA5NCCW56QGCA7TW54T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:67BUHBZKA5NCCW56QGCA7TW54T","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":"1cbacc0b45f12991c0712482f96c01e13dbde18504cd9b5d4ae1237b082408a6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T09:04:50Z","title_canon_sha256":"596a9ac1ab75ae69eb118c6a8035f2deeb3e3d9fdd135810a4a4f2d0c616bc64"},"schema_version":"1.0","source":{"id":"2607.14739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14739","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14739v1","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14739","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"67BUHBZKA5NC","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"67BUHBZKA5NCCW56","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"67BUHBZK","created_at":"2026-07-17T01:21:28Z"}],"graph_snapshots":[{"event_id":"sha256:8a434c1e914a892d86b485be33e198969d503bd41af37ad0ed2aac837c2ad7a4","target":"graph","created_at":"2026-07-17T01:21:28Z","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/2607.14739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language-Action (VLA) models have achieved impressive results in visuomotor policy learning, yet remain fundamentally reactive, mapping current observations and language to actions without explicit forward prediction of world dynamics. Existing visual foresight methods predict future visual states but lack explicit motion guidance: they show where to go but not how to get there. We argue that future feature prediction and sparse point tracking are naturally complementary: the former provides the goal state, while the latter captures the continuous motion path toward it. We propose FoMoV","authors_text":"Bailin Li, Han Hong, Kun Zhan, Peijin Jia, Sheng Sun, Titong Jiang, Wei Li, Xin Wen, Xuefeng Jiang, Yuan Ma, Yujian Li, Zhikang Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T09:04:50Z","title":"FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Action Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14739","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:b73f506f68126a73cbced28e457e6bc4fd81803fc8cb90a1267eab21c6214506","target":"record","created_at":"2026-07-17T01:21:28Z","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":"1cbacc0b45f12991c0712482f96c01e13dbde18504cd9b5d4ae1237b082408a6","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T09:04:50Z","title_canon_sha256":"596a9ac1ab75ae69eb118c6a8035f2deeb3e3d9fdd135810a4a4f2d0c616bc64"},"schema_version":"1.0","source":{"id":"2607.14739","kind":"arxiv","version":1}},"canonical_sha256":"f7c343872a075a215bbe81840fcedde4df441bdd5331d935ae282547b5a5136b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7c343872a075a215bbe81840fcedde4df441bdd5331d935ae282547b5a5136b","first_computed_at":"2026-07-17T01:21:28.605589Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T01:21:28.605589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"70DdS+iX8CxMoiwSejsuGtOMo8O1bIZxVvsDuijjza6RoFb2gKjv8JJKFaavo5LTwyUI8TFrHNsyOm8YJYrzCA==","signature_status":"signed_v1","signed_at":"2026-07-17T01:21:28.606444Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.14739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b73f506f68126a73cbced28e457e6bc4fd81803fc8cb90a1267eab21c6214506","sha256:8a434c1e914a892d86b485be33e198969d503bd41af37ad0ed2aac837c2ad7a4"],"state_sha256":"ce4ef0a4ebef0171de592d18df38b0510ec2bc7bb6e9668e02299ea63f78d356"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G47PuE0y8SIcHg5ZiXvnX9tERNRcs421ck2xi9y/O8n1SLcwfQmbMTXNBV7qsHdJ+G/TAzOTq93lUfX168/JAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:17:00.755723Z","bundle_sha256":"342d9216163dd10ef2455d2f34ea8c09c304f3ff5d6a54377e9911d1e0ed7624"}}