{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UDW4A25Z4EZLYRTK6CAU3DTP2Q","short_pith_number":"pith:UDW4A25Z","canonical_record":{"source":{"id":"2601.03309","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-06T09:58:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"caa8a74983ef2ae11c317df055ac8ff5f11ca04219bfc3261d123713cacc1e90","abstract_canon_sha256":"7f47b7c10818700f4970ad428819cfb35810d8d702f98b55a0cc34a7320f6c55"},"schema_version":"1.0"},"canonical_sha256":"a0edc06bb9e132bc466af0814d8e6fd42a91b94b664aaca877f89260b25d48c8","source":{"kind":"arxiv","id":"2601.03309","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.03309","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"arxiv_version","alias_value":"2601.03309v2","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.03309","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"pith_short_12","alias_value":"UDW4A25Z4EZL","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"pith_short_16","alias_value":"UDW4A25Z4EZLYRTK","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"pith_short_8","alias_value":"UDW4A25Z","created_at":"2026-06-02T01:03:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UDW4A25Z4EZLYRTK6CAU3DTP2Q","target":"record","payload":{"canonical_record":{"source":{"id":"2601.03309","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-06T09:58:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"caa8a74983ef2ae11c317df055ac8ff5f11ca04219bfc3261d123713cacc1e90","abstract_canon_sha256":"7f47b7c10818700f4970ad428819cfb35810d8d702f98b55a0cc34a7320f6c55"},"schema_version":"1.0"},"canonical_sha256":"a0edc06bb9e132bc466af0814d8e6fd42a91b94b664aaca877f89260b25d48c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:40.475539Z","signature_b64":"cGNMYpDdo3xtTPva2M2d8F1JnICK+skl9FyUSCb+6OBKQidBghqWvRvnRxBoRzRi4kX166Qv/Srev++huBVcCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0edc06bb9e132bc466af0814d8e6fd42a91b94b664aaca877f89260b25d48c8","last_reissued_at":"2026-06-02T01:03:40.475031Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:40.475031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.03309","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":"2026-06-02T01:03:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PwKpmQMnEystJ9BaJvjRTi2Vtk9xlFo1I3Bgvqj0pW8DAlKBkda/b8kBHFg7RyzfYaUDIoW84I5toml39SDgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:48:30.498689Z"},"content_sha256":"2c61a38b62cbc4fd3d01825b1183f741e777fba63edd05150bade1cf43bdaf33","schema_version":"1.0","event_id":"sha256:2c61a38b62cbc4fd3d01825b1183f741e777fba63edd05150bade1cf43bdaf33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UDW4A25Z4EZLYRTK6CAU3DTP2Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiajun Zhang, Jianke Zhang, Jianyu Chen, Junyang Lin, Mingsheng Li, Qiuyue Wang, Shuai Bai, Xiaoyu Chen, Yanjiang Guo, Yucheng Hu","submitted_at":"2026-01-06T09:58:24Z","abstract_excerpt":"Vision-Language-Action (VLA) models, which integrate pretrained large Vision-Language Models (VLM) into their policy backbone, are gaining significant attention for their promising generalization capabilities. This paper revisits a fundamental yet seldom systematically studied question: how VLM choice and competence translate to downstream VLA policies performance? We introduce VLM4VLA, a minimal adaptation pipeline that converts general-purpose VLMs into VLA policies using only a small set of new learnable parameters for fair and efficient comparison. Despite its simplicity, VLM4VLA proves su"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.03309","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/2601.03309/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":"2026-06-02T01:03:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0BSXZEjpW0ghmn0ozsnGDfeXy2nm6iWrsLd3zG2afyx2b5Jus6QX5znwA1wdKDVOLdz27uGRIWkNVzdymqxtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:48:30.499068Z"},"content_sha256":"646f6269ab65bb76b633640f767ed6433d2629fbde744d37af2f35006fcc2f32","schema_version":"1.0","event_id":"sha256:646f6269ab65bb76b633640f767ed6433d2629fbde744d37af2f35006fcc2f32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q/bundle.json","state_url":"https://pith.science/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q/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":"2026-06-02T17:48:30Z","links":{"resolver":"https://pith.science/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q","bundle":"https://pith.science/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q/bundle.json","state":"https://pith.science/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UDW4A25Z4EZLYRTK6CAU3DTP2Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UDW4A25Z4EZLYRTK6CAU3DTP2Q","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":"7f47b7c10818700f4970ad428819cfb35810d8d702f98b55a0cc34a7320f6c55","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-06T09:58:24Z","title_canon_sha256":"caa8a74983ef2ae11c317df055ac8ff5f11ca04219bfc3261d123713cacc1e90"},"schema_version":"1.0","source":{"id":"2601.03309","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.03309","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"arxiv_version","alias_value":"2601.03309v2","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.03309","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"pith_short_12","alias_value":"UDW4A25Z4EZL","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"pith_short_16","alias_value":"UDW4A25Z4EZLYRTK","created_at":"2026-06-02T01:03:40Z"},{"alias_kind":"pith_short_8","alias_value":"UDW4A25Z","created_at":"2026-06-02T01:03:40Z"}],"graph_snapshots":[{"event_id":"sha256:646f6269ab65bb76b633640f767ed6433d2629fbde744d37af2f35006fcc2f32","target":"graph","created_at":"2026-06-02T01:03:40Z","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/2601.03309/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language-Action (VLA) models, which integrate pretrained large Vision-Language Models (VLM) into their policy backbone, are gaining significant attention for their promising generalization capabilities. This paper revisits a fundamental yet seldom systematically studied question: how VLM choice and competence translate to downstream VLA policies performance? We introduce VLM4VLA, a minimal adaptation pipeline that converts general-purpose VLMs into VLA policies using only a small set of new learnable parameters for fair and efficient comparison. Despite its simplicity, VLM4VLA proves su","authors_text":"Jiajun Zhang, Jianke Zhang, Jianyu Chen, Junyang Lin, Mingsheng Li, Qiuyue Wang, Shuai Bai, Xiaoyu Chen, Yanjiang Guo, Yucheng Hu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-06T09:58:24Z","title":"VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.03309","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":"sha256:2c61a38b62cbc4fd3d01825b1183f741e777fba63edd05150bade1cf43bdaf33","target":"record","created_at":"2026-06-02T01:03:40Z","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":"7f47b7c10818700f4970ad428819cfb35810d8d702f98b55a0cc34a7320f6c55","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-06T09:58:24Z","title_canon_sha256":"caa8a74983ef2ae11c317df055ac8ff5f11ca04219bfc3261d123713cacc1e90"},"schema_version":"1.0","source":{"id":"2601.03309","kind":"arxiv","version":2}},"canonical_sha256":"a0edc06bb9e132bc466af0814d8e6fd42a91b94b664aaca877f89260b25d48c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0edc06bb9e132bc466af0814d8e6fd42a91b94b664aaca877f89260b25d48c8","first_computed_at":"2026-06-02T01:03:40.475031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:40.475031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cGNMYpDdo3xtTPva2M2d8F1JnICK+skl9FyUSCb+6OBKQidBghqWvRvnRxBoRzRi4kX166Qv/Srev++huBVcCw==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:40.475539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.03309","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c61a38b62cbc4fd3d01825b1183f741e777fba63edd05150bade1cf43bdaf33","sha256:646f6269ab65bb76b633640f767ed6433d2629fbde744d37af2f35006fcc2f32"],"state_sha256":"ea9646b2e1b059f4fadfccd2472a1b8bcdb1a3943530c35924f835df289921d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"35OXjYgdAmAkck/I8zMyHutLuKdHG7PGGxPlDnhLMckwSAZQNH+mUqKuWA7+oqN/ZciF3FwPAw/SJd1Rt2rBDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T17:48:30.501176Z","bundle_sha256":"b85a8b390dd1ccde8aee0a7fb1b5e35417f97dd0abadb2286a492847aec57b4d"}}