{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:S6KYBA3BZJDLSRTSJKEDXDU2P3","short_pith_number":"pith:S6KYBA3B","canonical_record":{"source":{"id":"2606.05960","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-04T09:58:55Z","cross_cats_sorted":[],"title_canon_sha256":"c3d2ab0ffbc31831e6d53bc73945ab0243d57aa5ccd87d06875799dd62f409f3","abstract_canon_sha256":"d962aa788beffe72efc2ba8a0f73e3f23a81b8fdeab3f8cf2f8a4ed099061625"},"schema_version":"1.0"},"canonical_sha256":"9795808361ca46b946724a883b8e9a7eed8850c1f7d1974bf3725f74363e3b53","source":{"kind":"arxiv","id":"2606.05960","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05960","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05960v1","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05960","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"pith_short_12","alias_value":"S6KYBA3BZJDL","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"pith_short_16","alias_value":"S6KYBA3BZJDLSRTS","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"pith_short_8","alias_value":"S6KYBA3B","created_at":"2026-06-05T01:15:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:S6KYBA3BZJDLSRTSJKEDXDU2P3","target":"record","payload":{"canonical_record":{"source":{"id":"2606.05960","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-04T09:58:55Z","cross_cats_sorted":[],"title_canon_sha256":"c3d2ab0ffbc31831e6d53bc73945ab0243d57aa5ccd87d06875799dd62f409f3","abstract_canon_sha256":"d962aa788beffe72efc2ba8a0f73e3f23a81b8fdeab3f8cf2f8a4ed099061625"},"schema_version":"1.0"},"canonical_sha256":"9795808361ca46b946724a883b8e9a7eed8850c1f7d1974bf3725f74363e3b53","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:15:28.843219Z","signature_b64":"YZG64rA9rhaOGVAvRSexXpNMtbh7ZjV+7kQeIQdJBteeIJibozW2MV+I0VTUMDZ82YraDWezXhjwfdXjDhG0Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9795808361ca46b946724a883b8e9a7eed8850c1f7d1974bf3725f74363e3b53","last_reissued_at":"2026-06-05T01:15:28.842722Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:15:28.842722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.05960","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":"2026-06-05T01:15:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y9HwXNMu1/z07I7KRGJKTAZdrZdgLrqwmtb6yKAePY63ww9HJ4W0BOXyhf2JE2QINmuAVBJsV52lnWjlUKgmDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:59:23.797552Z"},"content_sha256":"913e235aae75c9c1ebb2683ff9d3d0540c432b0d91a1d2e056569158dbc79b52","schema_version":"1.0","event_id":"sha256:913e235aae75c9c1ebb2683ff9d3d0540c432b0d91a1d2e056569158dbc79b52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:S6KYBA3BZJDLSRTSJKEDXDU2P3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards a Data Flywheel for Embodied Intelligence in Logistics","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Anlan Yu, Daqing Zhang, Zaishu Chen, Zhiqing Hong","submitted_at":"2026-06-04T09:58:55Z","abstract_excerpt":"Embodied intelligence is moving from laboratory demonstrations toward industrial deployment, with the logistics industry serving as a key application scenario. Learning-based policies offer a promising path beyond traditional perception-planning-control pipelines, but their scalability depends on how embodied data can be collected, organized, and reused. This research studies a data-centric framework for industrial embodied intelligence by constructing a logistics data flywheel. Our framework converts daily operations into reusable data assets, uses World Models to generate reliable supervisio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05960","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/2606.05960/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":"2026-06-05T01:15:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bDxx8EnJVvae8wg+pEAFYEE3p7nRRMLw1Jsp5eLvkOL6iQSberBdCd7AtO+K66fW7OPMrlIVnMZUamL9gFSyCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:59:23.798490Z"},"content_sha256":"d1803de2e1de1f5ae1f1d9acd267869a717bcbd106b06c540b6496f592101067","schema_version":"1.0","event_id":"sha256:d1803de2e1de1f5ae1f1d9acd267869a717bcbd106b06c540b6496f592101067"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3/bundle.json","state_url":"https://pith.science/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3/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":"2026-08-04T13:59:23Z","links":{"resolver":"https://pith.science/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3","bundle":"https://pith.science/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3/bundle.json","state":"https://pith.science/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S6KYBA3BZJDLSRTSJKEDXDU2P3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:S6KYBA3BZJDLSRTSJKEDXDU2P3","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":"d962aa788beffe72efc2ba8a0f73e3f23a81b8fdeab3f8cf2f8a4ed099061625","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-04T09:58:55Z","title_canon_sha256":"c3d2ab0ffbc31831e6d53bc73945ab0243d57aa5ccd87d06875799dd62f409f3"},"schema_version":"1.0","source":{"id":"2606.05960","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05960","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05960v1","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05960","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"pith_short_12","alias_value":"S6KYBA3BZJDL","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"pith_short_16","alias_value":"S6KYBA3BZJDLSRTS","created_at":"2026-06-05T01:15:28Z"},{"alias_kind":"pith_short_8","alias_value":"S6KYBA3B","created_at":"2026-06-05T01:15:28Z"}],"graph_snapshots":[{"event_id":"sha256:d1803de2e1de1f5ae1f1d9acd267869a717bcbd106b06c540b6496f592101067","target":"graph","created_at":"2026-06-05T01:15:28Z","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/2606.05960/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Embodied intelligence is moving from laboratory demonstrations toward industrial deployment, with the logistics industry serving as a key application scenario. Learning-based policies offer a promising path beyond traditional perception-planning-control pipelines, but their scalability depends on how embodied data can be collected, organized, and reused. This research studies a data-centric framework for industrial embodied intelligence by constructing a logistics data flywheel. Our framework converts daily operations into reusable data assets, uses World Models to generate reliable supervisio","authors_text":"Anlan Yu, Daqing Zhang, Zaishu Chen, Zhiqing Hong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-04T09:58:55Z","title":"Towards a Data Flywheel for Embodied Intelligence in Logistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05960","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":"sha256:913e235aae75c9c1ebb2683ff9d3d0540c432b0d91a1d2e056569158dbc79b52","target":"record","created_at":"2026-06-05T01:15:28Z","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":"d962aa788beffe72efc2ba8a0f73e3f23a81b8fdeab3f8cf2f8a4ed099061625","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-04T09:58:55Z","title_canon_sha256":"c3d2ab0ffbc31831e6d53bc73945ab0243d57aa5ccd87d06875799dd62f409f3"},"schema_version":"1.0","source":{"id":"2606.05960","kind":"arxiv","version":1}},"canonical_sha256":"9795808361ca46b946724a883b8e9a7eed8850c1f7d1974bf3725f74363e3b53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9795808361ca46b946724a883b8e9a7eed8850c1f7d1974bf3725f74363e3b53","first_computed_at":"2026-06-05T01:15:28.842722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:15:28.842722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YZG64rA9rhaOGVAvRSexXpNMtbh7ZjV+7kQeIQdJBteeIJibozW2MV+I0VTUMDZ82YraDWezXhjwfdXjDhG0Ag==","signature_status":"signed_v1","signed_at":"2026-06-05T01:15:28.843219Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05960","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:913e235aae75c9c1ebb2683ff9d3d0540c432b0d91a1d2e056569158dbc79b52","sha256:d1803de2e1de1f5ae1f1d9acd267869a717bcbd106b06c540b6496f592101067"],"state_sha256":"0ed80b6e643eabdd003e86c432fe1d2c07e45b3c8a24ec91db044a93cba36f9d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M+IeviJBQDCm0tL1EGmpIB2pLKb04ZsIRf0NTOHjiatAeWANZrJiMMEDTrOPhectty5cuHHIsc/cZi2IB6RRCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T13:59:23.840571Z","bundle_sha256":"cbf8482aab712cb3eb61b425eeb9cdab2c3cdad8d6d32c94317822b7b6565395"}}