{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:C2QEVRKDNKN2YUJRODMZTTFFBJ","short_pith_number":"pith:C2QEVRKD","canonical_record":{"source":{"id":"2512.22539","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-12-27T09:40:54Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"53656a37e1bd78b99cd019ad2d29c2dc595cd4aa2b85a614429415d7a3fa0c39","abstract_canon_sha256":"ad360a05b2a1e3cd9b49abbbd6a0dec9a176423b2930195b5eb1891af734a2aa"},"schema_version":"1.0"},"canonical_sha256":"16a04ac5436a9bac513170d999cca50a5998d6834ad3252a50d05a0bb412c1d7","source":{"kind":"arxiv","id":"2512.22539","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.22539","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"arxiv_version","alias_value":"2512.22539v2","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.22539","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"pith_short_12","alias_value":"C2QEVRKDNKN2","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"pith_short_16","alias_value":"C2QEVRKDNKN2YUJR","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"pith_short_8","alias_value":"C2QEVRKD","created_at":"2026-06-03T01:05:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:C2QEVRKDNKN2YUJRODMZTTFFBJ","target":"record","payload":{"canonical_record":{"source":{"id":"2512.22539","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-12-27T09:40:54Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"53656a37e1bd78b99cd019ad2d29c2dc595cd4aa2b85a614429415d7a3fa0c39","abstract_canon_sha256":"ad360a05b2a1e3cd9b49abbbd6a0dec9a176423b2930195b5eb1891af734a2aa"},"schema_version":"1.0"},"canonical_sha256":"16a04ac5436a9bac513170d999cca50a5998d6834ad3252a50d05a0bb412c1d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:47.261092Z","signature_b64":"0an7Yn3XkYK/VzundYquRvNe6PNh02H9kXiaMfNrMRL0oYdsOLeVTqoI1gz9ZWT9vCJQE6zuH8mz/u6VQatgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16a04ac5436a9bac513170d999cca50a5998d6834ad3252a50d05a0bb412c1d7","last_reissued_at":"2026-06-03T01:05:47.260612Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:47.260612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2512.22539","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":"2026-06-03T01:05:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TEGqOXOoM5M/ZB0zifDfAQM7ZiSw5/v2FPs991y1YsZ0rtVxIBHYg10QJxNte3aVfaqwzKWCpa7h2DrYoKTkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:42:34.606570Z"},"content_sha256":"fb58232cee97e92bd1bd32193e940290e115a1a73053957dc6c5123541cb80c5","schema_version":"1.0","event_id":"sha256:fb58232cee97e92bd1bd32193e940290e115a1a73053957dc6c5123541cb80c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:C2QEVRKDNKN2YUJRODMZTTFFBJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Borong Zhang, Jiachen Shen, Jiahao Li, Jiaming Ji, Juntao Dai, Yaodong Yang, Yishuai Cai, Yuanpei Chen, Yuhao Zhang","submitted_at":"2025-12-27T09:40:54Z","abstract_excerpt":"While Vision-Language-Action models (VLAs) are rapidly advancing towards generalist robot policies, it remains difficult to quantitatively understand their limits and failure modes. To address this, we introduce a comprehensive benchmark called VLA-Arena. We propose a novel structured task design framework to quantify difficulty across three orthogonal axes: (1) Task Structure, (2) Language Command, and (3) Visual Observation. This allows us to systematically design tasks with fine-grained difficulty levels, enabling a precise measurement of model capability frontiers. For Task Structure, VLA-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.22539","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/2512.22539/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":"2026-06-03T01:05:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rXIbqixLR4iQ8UmCHCKJHoh0dI9DPx/miin/yxrRHpX6cFQl9Dx3DjLa5eiYgVQrnkkvJ4vg+MOHam8jDTztAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:42:34.607274Z"},"content_sha256":"3d0a75bb8e861072134a9bc57934339ca3dd0ec7edd0917a42270a618830c2be","schema_version":"1.0","event_id":"sha256:3d0a75bb8e861072134a9bc57934339ca3dd0ec7edd0917a42270a618830c2be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ/bundle.json","state_url":"https://pith.science/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ/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":"2026-06-05T02:42:34Z","links":{"resolver":"https://pith.science/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ","bundle":"https://pith.science/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ/bundle.json","state":"https://pith.science/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C2QEVRKDNKN2YUJRODMZTTFFBJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:C2QEVRKDNKN2YUJRODMZTTFFBJ","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":"ad360a05b2a1e3cd9b49abbbd6a0dec9a176423b2930195b5eb1891af734a2aa","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-12-27T09:40:54Z","title_canon_sha256":"53656a37e1bd78b99cd019ad2d29c2dc595cd4aa2b85a614429415d7a3fa0c39"},"schema_version":"1.0","source":{"id":"2512.22539","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.22539","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"arxiv_version","alias_value":"2512.22539v2","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.22539","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"pith_short_12","alias_value":"C2QEVRKDNKN2","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"pith_short_16","alias_value":"C2QEVRKDNKN2YUJR","created_at":"2026-06-03T01:05:47Z"},{"alias_kind":"pith_short_8","alias_value":"C2QEVRKD","created_at":"2026-06-03T01:05:47Z"}],"graph_snapshots":[{"event_id":"sha256:3d0a75bb8e861072134a9bc57934339ca3dd0ec7edd0917a42270a618830c2be","target":"graph","created_at":"2026-06-03T01:05:47Z","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/2512.22539/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Vision-Language-Action models (VLAs) are rapidly advancing towards generalist robot policies, it remains difficult to quantitatively understand their limits and failure modes. To address this, we introduce a comprehensive benchmark called VLA-Arena. We propose a novel structured task design framework to quantify difficulty across three orthogonal axes: (1) Task Structure, (2) Language Command, and (3) Visual Observation. This allows us to systematically design tasks with fine-grained difficulty levels, enabling a precise measurement of model capability frontiers. For Task Structure, VLA-","authors_text":"Borong Zhang, Jiachen Shen, Jiahao Li, Jiaming Ji, Juntao Dai, Yaodong Yang, Yishuai Cai, Yuanpei Chen, Yuhao Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-12-27T09:40:54Z","title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.22539","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:fb58232cee97e92bd1bd32193e940290e115a1a73053957dc6c5123541cb80c5","target":"record","created_at":"2026-06-03T01:05:47Z","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":"ad360a05b2a1e3cd9b49abbbd6a0dec9a176423b2930195b5eb1891af734a2aa","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-12-27T09:40:54Z","title_canon_sha256":"53656a37e1bd78b99cd019ad2d29c2dc595cd4aa2b85a614429415d7a3fa0c39"},"schema_version":"1.0","source":{"id":"2512.22539","kind":"arxiv","version":2}},"canonical_sha256":"16a04ac5436a9bac513170d999cca50a5998d6834ad3252a50d05a0bb412c1d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16a04ac5436a9bac513170d999cca50a5998d6834ad3252a50d05a0bb412c1d7","first_computed_at":"2026-06-03T01:05:47.260612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:47.260612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0an7Yn3XkYK/VzundYquRvNe6PNh02H9kXiaMfNrMRL0oYdsOLeVTqoI1gz9ZWT9vCJQE6zuH8mz/u6VQatgDQ==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:47.261092Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.22539","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb58232cee97e92bd1bd32193e940290e115a1a73053957dc6c5123541cb80c5","sha256:3d0a75bb8e861072134a9bc57934339ca3dd0ec7edd0917a42270a618830c2be"],"state_sha256":"adacf0d176214ff09fc742f83f472915f620d5bd3939d1a91cbc94a5fa1172dc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FMBRgrOuv6RGnI1E/D7OfrI/NT/xgXXnClTh2h0kC7XtAXk3ulQ+958rGArlv5p1bHwDULktfIwDrntgGiU8DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T02:42:34.611042Z","bundle_sha256":"8207961497508282db2e7325829d4b19a7834f0cdbd6bad65817f97e077049bc"}}