{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YPUJMJSIJ4HV72ZWWOZZU3QVWR","short_pith_number":"pith:YPUJMJSI","canonical_record":{"source":{"id":"2606.22540","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T14:54:07Z","cross_cats_sorted":[],"title_canon_sha256":"3c8919acadacac1ead4d2afd9d090414e05d717c8ed7069c557274f465cbab78","abstract_canon_sha256":"c6cac5080f40e473972d1d60e8fddc53f42629e148ea64559760b70f76ddd0c2"},"schema_version":"1.0"},"canonical_sha256":"c3e89626484f0f5feb36b3b39a6e15b47587442d4949e610c606764df300ff08","source":{"kind":"arxiv","id":"2606.22540","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22540","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22540v1","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22540","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"YPUJMJSIJ4HV","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"YPUJMJSIJ4HV72ZW","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"YPUJMJSI","created_at":"2026-06-23T02:13:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YPUJMJSIJ4HV72ZWWOZZU3QVWR","target":"record","payload":{"canonical_record":{"source":{"id":"2606.22540","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T14:54:07Z","cross_cats_sorted":[],"title_canon_sha256":"3c8919acadacac1ead4d2afd9d090414e05d717c8ed7069c557274f465cbab78","abstract_canon_sha256":"c6cac5080f40e473972d1d60e8fddc53f42629e148ea64559760b70f76ddd0c2"},"schema_version":"1.0"},"canonical_sha256":"c3e89626484f0f5feb36b3b39a6e15b47587442d4949e610c606764df300ff08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:41.095464Z","signature_b64":"wNzrWf3OnOPqhs2UFQQD51iTEvmu5MQQkSXmFr+FUt4eoFYXphZxZyharQErcB76mMa6IrK3Y4Eymu70BS9WBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3e89626484f0f5feb36b3b39a6e15b47587442d4949e610c606764df300ff08","last_reissued_at":"2026-06-23T02:13:41.095053Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:41.095053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.22540","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":"2026-06-23T02:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PYwKblDM/nOqBLMKnn4ZsJWWULV0pn/sdFNEI7KSl6s708hgddm34/5XVPBQJxLUVvgCgvRl5SdXkvHtpg4bAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T20:49:29.722972Z"},"content_sha256":"b25663b9f0099afeb1ee6def50d7bf58ee2d280518dff0ced097e45c368354fd","schema_version":"1.0","event_id":"sha256:b25663b9f0099afeb1ee6def50d7bf58ee2d280518dff0ced097e45c368354fd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YPUJMJSIJ4HV72ZWWOZZU3QVWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changsheng Li, Feng Chen, Hua Yan, Wenbo Zhang, Xianghui Wang, Yinjie Lei, Zixuan Wang","submitted_at":"2026-06-21T14:54:07Z","abstract_excerpt":"Vision-Language-Action (VLA) models provide a unified paradigm for robotic manipulation, yet their real-world deployment is often bottlenecked by execution efficiency. While existing efforts predominantly focus on compute-centric efficiency to reduce per-step inference latency, the intrinsic \\textbf{policy efficiency} of these models remains largely unexplored. Policy efficiency is fundamentally affected by two factors, namely the effective executable length of predicted action chunks and the total physical steps required to complete a task. These two factors jointly determine the total number"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22540","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/2606.22540/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":"2026-06-23T02:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cwE2hweITc4Yo3Oj5vcwtPfyvNLToOtxiorNRdqt/r4lmFlbpfS4+kkINwFBNF8+toJLOAnxe1FKQgvKFtZUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T20:49:29.723353Z"},"content_sha256":"edcd98d1c26b7de13be20d1666ad33de0f4c8be1be693701dd6c71a725f3eeae","schema_version":"1.0","event_id":"sha256:edcd98d1c26b7de13be20d1666ad33de0f4c8be1be693701dd6c71a725f3eeae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR/bundle.json","state_url":"https://pith.science/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR/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":"2026-06-27T20:49:29Z","links":{"resolver":"https://pith.science/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR","bundle":"https://pith.science/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR/bundle.json","state":"https://pith.science/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YPUJMJSIJ4HV72ZWWOZZU3QVWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YPUJMJSIJ4HV72ZWWOZZU3QVWR","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":"c6cac5080f40e473972d1d60e8fddc53f42629e148ea64559760b70f76ddd0c2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T14:54:07Z","title_canon_sha256":"3c8919acadacac1ead4d2afd9d090414e05d717c8ed7069c557274f465cbab78"},"schema_version":"1.0","source":{"id":"2606.22540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22540","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22540v1","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22540","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"YPUJMJSIJ4HV","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"YPUJMJSIJ4HV72ZW","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"YPUJMJSI","created_at":"2026-06-23T02:13:41Z"}],"graph_snapshots":[{"event_id":"sha256:edcd98d1c26b7de13be20d1666ad33de0f4c8be1be693701dd6c71a725f3eeae","target":"graph","created_at":"2026-06-23T02:13:41Z","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/2606.22540/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language-Action (VLA) models provide a unified paradigm for robotic manipulation, yet their real-world deployment is often bottlenecked by execution efficiency. While existing efforts predominantly focus on compute-centric efficiency to reduce per-step inference latency, the intrinsic \\textbf{policy efficiency} of these models remains largely unexplored. Policy efficiency is fundamentally affected by two factors, namely the effective executable length of predicted action chunks and the total physical steps required to complete a task. These two factors jointly determine the total number","authors_text":"Changsheng Li, Feng Chen, Hua Yan, Wenbo Zhang, Xianghui Wang, Yinjie Lei, Zixuan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T14:54:07Z","title":"PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22540","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:b25663b9f0099afeb1ee6def50d7bf58ee2d280518dff0ced097e45c368354fd","target":"record","created_at":"2026-06-23T02:13:41Z","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":"c6cac5080f40e473972d1d60e8fddc53f42629e148ea64559760b70f76ddd0c2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-21T14:54:07Z","title_canon_sha256":"3c8919acadacac1ead4d2afd9d090414e05d717c8ed7069c557274f465cbab78"},"schema_version":"1.0","source":{"id":"2606.22540","kind":"arxiv","version":1}},"canonical_sha256":"c3e89626484f0f5feb36b3b39a6e15b47587442d4949e610c606764df300ff08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3e89626484f0f5feb36b3b39a6e15b47587442d4949e610c606764df300ff08","first_computed_at":"2026-06-23T02:13:41.095053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:41.095053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wNzrWf3OnOPqhs2UFQQD51iTEvmu5MQQkSXmFr+FUt4eoFYXphZxZyharQErcB76mMa6IrK3Y4Eymu70BS9WBg==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:41.095464Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.22540","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b25663b9f0099afeb1ee6def50d7bf58ee2d280518dff0ced097e45c368354fd","sha256:edcd98d1c26b7de13be20d1666ad33de0f4c8be1be693701dd6c71a725f3eeae"],"state_sha256":"4007b06088ac963b3463f86d1a296e6a66eabb9f8202840b24f3a5caa98e3f97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wcV8JDYMFCVEjYGKKXbvstH7IKpjWk/58sIxJBi+UKEYFwmLw9QSX8SPZM+pjKT9dlOX+bDbFSpEEEvfxOzXBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T20:49:29.725310Z","bundle_sha256":"137b675ca2f887884d20ec90402e34411c33135116cf8b7226715163583f20f2"}}