{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ETSPQAYG7JK4OAVUBUIW576XS3","short_pith_number":"pith:ETSPQAYG","canonical_record":{"source":{"id":"2607.21588","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-23T17:58:08Z","cross_cats_sorted":[],"title_canon_sha256":"571cd94f915c7a6c7c4478cc409b39be005a9a5cc8c41cd8ceed5ef9bb080388","abstract_canon_sha256":"ea8037c2314a78588595e2acf4a83edf7e999f91731c8adc83152274c9798b48"},"schema_version":"1.0"},"canonical_sha256":"24e4f80306fa55c702b40d116effd796e7617557b7a07f46f5588183d9c7b275","source":{"kind":"arxiv","id":"2607.21588","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21588","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21588v1","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21588","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"ETSPQAYG7JK4","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"ETSPQAYG7JK4OAVU","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"ETSPQAYG","created_at":"2026-07-24T01:24:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ETSPQAYG7JK4OAVUBUIW576XS3","target":"record","payload":{"canonical_record":{"source":{"id":"2607.21588","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-23T17:58:08Z","cross_cats_sorted":[],"title_canon_sha256":"571cd94f915c7a6c7c4478cc409b39be005a9a5cc8c41cd8ceed5ef9bb080388","abstract_canon_sha256":"ea8037c2314a78588595e2acf4a83edf7e999f91731c8adc83152274c9798b48"},"schema_version":"1.0"},"canonical_sha256":"24e4f80306fa55c702b40d116effd796e7617557b7a07f46f5588183d9c7b275","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:24:41.733893Z","signature_b64":"REjNjDQ7ST+xxbwqjducPYyAWxHcYkP9HAI458uY+s1uKP/8B9M/XxF4OYaxTcuboruaFKTv2bp97NFCH07mAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24e4f80306fa55c702b40d116effd796e7617557b7a07f46f5588183d9c7b275","last_reissued_at":"2026-07-24T01:24:41.733031Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:24:41.733031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.21588","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":"2026-07-24T01:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yyKo2WQwlouwZGs+Vkqj5eUq6UU7NmflisqVRqgfysXJM7rlImFc3qOL6ku5Lbrv/fqsQZ+hp8ILZTgzcvzBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T11:25:57.570570Z"},"content_sha256":"518b238e1f9e7fd4fe73ba858cd53323a1852a8800313ebde1ccc147c5c3f2ea","schema_version":"1.0","event_id":"sha256:518b238e1f9e7fd4fe73ba858cd53323a1852a8800313ebde1ccc147c5c3f2ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ETSPQAYG7JK4OAVUBUIW576XS3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Dihong Huang, Hai Zhai, Jiachen Li, Jianfei Yang, Jie Wang, Mengfei Zhao, Mingxuan Yan, Peihao Li, Ruiqi Zhuang, Rui Zhang, Tony Zhou, Yanjia Huang, Yikai Tang, Yuchen Huang, Zhexi Luo","submitted_at":"2026-07-23T17:58:08Z","abstract_excerpt":"Learning effective robot manipulation policies requires diverse, high-quality demonstrations, yet existing data pipelines are often difficult to scale because they rely on specialized hardware, centralized operators, or fixed task suites. We present AXIS, a growable community-driven data engine and benchmark for scalable robot learning, which enables browser-based teleoperation for large-scale demonstration collection, automatically generates and validates new manipulation tasks, and transforms community-collected demonstrations into training-ready data through automated success checking, qual"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21588","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/2607.21588/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":"2026-07-24T01:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/gwNtQDutvANSbBvDCaX+/Z3YwQXmd5mC9QTXvDfOAsIODrCDlZDPUQh2Aaj9ZBUy1jFzBGeZqOhCQxoDRg9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T11:25:57.571073Z"},"content_sha256":"cf1a8d6c843470da41097c9c12acf4e16ea39f6903cf1b0a4cc76c4b73ab8ebc","schema_version":"1.0","event_id":"sha256:cf1a8d6c843470da41097c9c12acf4e16ea39f6903cf1b0a4cc76c4b73ab8ebc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ETSPQAYG7JK4OAVUBUIW576XS3/bundle.json","state_url":"https://pith.science/pith/ETSPQAYG7JK4OAVUBUIW576XS3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ETSPQAYG7JK4OAVUBUIW576XS3/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":"2026-08-01T11:25:57Z","links":{"resolver":"https://pith.science/pith/ETSPQAYG7JK4OAVUBUIW576XS3","bundle":"https://pith.science/pith/ETSPQAYG7JK4OAVUBUIW576XS3/bundle.json","state":"https://pith.science/pith/ETSPQAYG7JK4OAVUBUIW576XS3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ETSPQAYG7JK4OAVUBUIW576XS3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ETSPQAYG7JK4OAVUBUIW576XS3","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":"ea8037c2314a78588595e2acf4a83edf7e999f91731c8adc83152274c9798b48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-23T17:58:08Z","title_canon_sha256":"571cd94f915c7a6c7c4478cc409b39be005a9a5cc8c41cd8ceed5ef9bb080388"},"schema_version":"1.0","source":{"id":"2607.21588","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21588","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21588v1","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21588","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"ETSPQAYG7JK4","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"ETSPQAYG7JK4OAVU","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"ETSPQAYG","created_at":"2026-07-24T01:24:41Z"}],"graph_snapshots":[{"event_id":"sha256:cf1a8d6c843470da41097c9c12acf4e16ea39f6903cf1b0a4cc76c4b73ab8ebc","target":"graph","created_at":"2026-07-24T01:24:41Z","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/2607.21588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning effective robot manipulation policies requires diverse, high-quality demonstrations, yet existing data pipelines are often difficult to scale because they rely on specialized hardware, centralized operators, or fixed task suites. We present AXIS, a growable community-driven data engine and benchmark for scalable robot learning, which enables browser-based teleoperation for large-scale demonstration collection, automatically generates and validates new manipulation tasks, and transforms community-collected demonstrations into training-ready data through automated success checking, qual","authors_text":"Dihong Huang, Hai Zhai, Jiachen Li, Jianfei Yang, Jie Wang, Mengfei Zhao, Mingxuan Yan, Peihao Li, Ruiqi Zhuang, Rui Zhang, Tony Zhou, Yanjia Huang, Yikai Tang, Yuchen Huang, Zhexi Luo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-23T17:58:08Z","title":"AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21588","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":"sha256:518b238e1f9e7fd4fe73ba858cd53323a1852a8800313ebde1ccc147c5c3f2ea","target":"record","created_at":"2026-07-24T01:24:41Z","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":"ea8037c2314a78588595e2acf4a83edf7e999f91731c8adc83152274c9798b48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-23T17:58:08Z","title_canon_sha256":"571cd94f915c7a6c7c4478cc409b39be005a9a5cc8c41cd8ceed5ef9bb080388"},"schema_version":"1.0","source":{"id":"2607.21588","kind":"arxiv","version":1}},"canonical_sha256":"24e4f80306fa55c702b40d116effd796e7617557b7a07f46f5588183d9c7b275","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24e4f80306fa55c702b40d116effd796e7617557b7a07f46f5588183d9c7b275","first_computed_at":"2026-07-24T01:24:41.733031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-24T01:24:41.733031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"REjNjDQ7ST+xxbwqjducPYyAWxHcYkP9HAI458uY+s1uKP/8B9M/XxF4OYaxTcuboruaFKTv2bp97NFCH07mAQ==","signature_status":"signed_v1","signed_at":"2026-07-24T01:24:41.733893Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21588","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:518b238e1f9e7fd4fe73ba858cd53323a1852a8800313ebde1ccc147c5c3f2ea","sha256:cf1a8d6c843470da41097c9c12acf4e16ea39f6903cf1b0a4cc76c4b73ab8ebc"],"state_sha256":"695980b60961570918d733443b9d7f5b9fc2398e12d24a6d93d63480704b1a00"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xIqFI+E+6jXOMa2UkHPPJQYSzPe8VGZ75a13s/mBB5wsCd9EhQnXVpC1XEIOc9EV+xFL31ydsIJgwBUXMJXvBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T11:25:57.574411Z","bundle_sha256":"4b4ed011dd40cb60c6ab0ee38d1da46538b72fc73a11e773ec8b1d264eed03ab"}}