{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:33C2WE4G7Y4L3JRFQSBSLXV4UB","short_pith_number":"pith:33C2WE4G","schema_version":"1.0","canonical_sha256":"dec5ab1386fe38bda625848325debca06cd2c1a9ebd4844bbc1b360b1e4a45ba","source":{"kind":"arxiv","id":"2608.00337","version":1},"attestation_state":"computed","paper":{"title":"Action Chunk Scheduling for Batched Robot Policy Serving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Danfei Xu, David He, Kexin Rong, Nadun Ranawaka Arachchige, Rohan Bansal, Soobum Kim, Zhenyang Chen","submitted_at":"2026-07-31T22:58:59Z","abstract_excerpt":"Deploying robot foundation models at scale is the next step towards realizing the potential of general-purpose robots. However, Vision-Language-Action (VLA) and other foundation models are computationally demanding, and on-device compute is constrained by power and space. In this paper, we introduce the problem of serving a robot policy to multiple robots from a remote GPU and formulate it as a scheduling problem. We build Armory, a serving system validated on fleets of both simulated and real robots. Our experiments show that naive scheduling heuristics perform well when all robots are the sa"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.00337","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-31T22:58:59Z","cross_cats_sorted":[],"title_canon_sha256":"49d56c3bf2385d523da472dacbb6c4d7d42e7aab2c4b623febf60f83b995ac30","abstract_canon_sha256":"123a8e63a7a9b611129289b81a6f0548a6c10a01386c89cd21cecaad2f0f4018"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T00:35:07.382812Z","signature_b64":"EsNu1lAqG+HE9P0hJGL4E6HxhRaDub9j26sN6e37+4T3oyZypYrhLFfM+o1ipwbLnGUONjKGAdf1OvRttBZEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dec5ab1386fe38bda625848325debca06cd2c1a9ebd4844bbc1b360b1e4a45ba","last_reissued_at":"2026-08-04T00:35:07.381469Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T00:35:07.381469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Action Chunk Scheduling for Batched Robot Policy Serving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Danfei Xu, David He, Kexin Rong, Nadun Ranawaka Arachchige, Rohan Bansal, Soobum Kim, Zhenyang Chen","submitted_at":"2026-07-31T22:58:59Z","abstract_excerpt":"Deploying robot foundation models at scale is the next step towards realizing the potential of general-purpose robots. However, Vision-Language-Action (VLA) and other foundation models are computationally demanding, and on-device compute is constrained by power and space. In this paper, we introduce the problem of serving a robot policy to multiple robots from a remote GPU and formulate it as a scheduling problem. We build Armory, a serving system validated on fleets of both simulated and real robots. Our experiments show that naive scheduling heuristics perform well when all robots are the sa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00337","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/2608.00337/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.00337","created_at":"2026-08-04T00:35:07.382523+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.00337v1","created_at":"2026-08-04T00:35:07.382523+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.00337","created_at":"2026-08-04T00:35:07.382523+00:00"},{"alias_kind":"pith_short_12","alias_value":"33C2WE4G7Y4L","created_at":"2026-08-04T00:35:07.382523+00:00"},{"alias_kind":"pith_short_16","alias_value":"33C2WE4G7Y4L3JRF","created_at":"2026-08-04T00:35:07.382523+00:00"},{"alias_kind":"pith_short_8","alias_value":"33C2WE4G","created_at":"2026-08-04T00:35:07.382523+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB","json":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB.json","graph_json":"https://pith.science/api/pith-number/33C2WE4G7Y4L3JRFQSBSLXV4UB/graph.json","events_json":"https://pith.science/api/pith-number/33C2WE4G7Y4L3JRFQSBSLXV4UB/events.json","paper":"https://pith.science/paper/33C2WE4G"},"agent_actions":{"view_html":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB","download_json":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB.json","view_paper":"https://pith.science/paper/33C2WE4G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.00337&json=true","fetch_graph":"https://pith.science/api/pith-number/33C2WE4G7Y4L3JRFQSBSLXV4UB/graph.json","fetch_events":"https://pith.science/api/pith-number/33C2WE4G7Y4L3JRFQSBSLXV4UB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB/action/storage_attestation","attest_author":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB/action/author_attestation","sign_citation":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB/action/citation_signature","submit_replication":"https://pith.science/pith/33C2WE4G7Y4L3JRFQSBSLXV4UB/action/replication_record"}},"created_at":"2026-08-04T00:35:07.382523+00:00","updated_at":"2026-08-04T00:35:07.382523+00:00"}