{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6AF7F2KURPOYRPTIRADAVDSXT3","short_pith_number":"pith:6AF7F2KU","canonical_record":{"source":{"id":"2505.21200","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:47:18Z","cross_cats_sorted":[],"title_canon_sha256":"9c6660d904ab4622b9554f8a47f9f5dc973707bfc86da484042d6b72ff931569","abstract_canon_sha256":"4353a226e7d4c1053028d1b9c82bb1c04ea0af10f3f90d0fef2e062b8ae08b48"},"schema_version":"1.0"},"canonical_sha256":"f00bf2e9548bdd88be6888060a8e579ed38fe90620204461800696a07e6b4559","source":{"kind":"arxiv","id":"2505.21200","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21200","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21200v1","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21200","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_12","alias_value":"6AF7F2KURPOY","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_16","alias_value":"6AF7F2KURPOYRPTI","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_8","alias_value":"6AF7F2KU","created_at":"2026-07-05T11:10:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6AF7F2KURPOYRPTIRADAVDSXT3","target":"record","payload":{"canonical_record":{"source":{"id":"2505.21200","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:47:18Z","cross_cats_sorted":[],"title_canon_sha256":"9c6660d904ab4622b9554f8a47f9f5dc973707bfc86da484042d6b72ff931569","abstract_canon_sha256":"4353a226e7d4c1053028d1b9c82bb1c04ea0af10f3f90d0fef2e062b8ae08b48"},"schema_version":"1.0"},"canonical_sha256":"f00bf2e9548bdd88be6888060a8e579ed38fe90620204461800696a07e6b4559","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:38.646587Z","signature_b64":"u7JjH6OHezxBnq6cC2x0Rpkq9vHveuzVm9kCAdoDXCxfteLCPx6U7AJVbU6Xr7jc7ePxvl3EZfuqbmyq2lmpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f00bf2e9548bdd88be6888060a8e579ed38fe90620204461800696a07e6b4559","last_reissued_at":"2026-07-05T11:10:38.646097Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:38.646097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.21200","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":"2026-07-05T11:10:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z9Lh+TZwsoG10Bn9jDN9JIwgf1zFB9zACWTKkAjBRySQ7fo4h73zoOsADrdT02KQSNtEkIFNZluqRGQas1SVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:25:46.796954Z"},"content_sha256":"8e0a28cb1a3d8e7c3686829dfe18d7044f0953b63788ec01dc3d7ab997ccf4ef","schema_version":"1.0","event_id":"sha256:8e0a28cb1a3d8e7c3686829dfe18d7044f0953b63788ec01dc3d7ab997ccf4ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6AF7F2KURPOYRPTIRADAVDSXT3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bizhe Bai, Jia Hao, Jialin Zheng, Peng Ye, Tao Chen, Xinyi Wang, Xudong Tan, Yaoxin Yang","submitted_at":"2025-05-27T13:47:18Z","abstract_excerpt":"Vision-Language-Action (VLA) models have emerged as a powerful paradigm for general-purpose robot control through natural language instructions. However, their high inference cost-stemming from large-scale token computation and autoregressive decoding-poses significant challenges for real-time deployment and edge applications. While prior work has primarily focused on architectural optimization, we take a different perspective by identifying a dual form of redundancy in VLA models: (i) high similarity across consecutive action steps, and (ii) substantial redundancy in visual tokens. Motivated "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21200","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/2505.21200/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":"2026-07-05T11:10:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4GMPiyH2mw6T27n7sXH56jsccckhB6ivBQ0TvWix8/EbzXkZnUH3nlykoPTs+Iz+8gdDccWN/3c4MDNLF0ZTCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:25:46.798043Z"},"content_sha256":"16d78db99fef79ce6eac0ad1c036c6f9a15a83682a3cc3c7c9b90be2734558a2","schema_version":"1.0","event_id":"sha256:16d78db99fef79ce6eac0ad1c036c6f9a15a83682a3cc3c7c9b90be2734558a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6AF7F2KURPOYRPTIRADAVDSXT3/bundle.json","state_url":"https://pith.science/pith/6AF7F2KURPOYRPTIRADAVDSXT3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6AF7F2KURPOYRPTIRADAVDSXT3/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":"2026-08-06T19:25:46Z","links":{"resolver":"https://pith.science/pith/6AF7F2KURPOYRPTIRADAVDSXT3","bundle":"https://pith.science/pith/6AF7F2KURPOYRPTIRADAVDSXT3/bundle.json","state":"https://pith.science/pith/6AF7F2KURPOYRPTIRADAVDSXT3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6AF7F2KURPOYRPTIRADAVDSXT3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6AF7F2KURPOYRPTIRADAVDSXT3","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":"4353a226e7d4c1053028d1b9c82bb1c04ea0af10f3f90d0fef2e062b8ae08b48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:47:18Z","title_canon_sha256":"9c6660d904ab4622b9554f8a47f9f5dc973707bfc86da484042d6b72ff931569"},"schema_version":"1.0","source":{"id":"2505.21200","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21200","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21200v1","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21200","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_12","alias_value":"6AF7F2KURPOY","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_16","alias_value":"6AF7F2KURPOYRPTI","created_at":"2026-07-05T11:10:38Z"},{"alias_kind":"pith_short_8","alias_value":"6AF7F2KU","created_at":"2026-07-05T11:10:38Z"}],"graph_snapshots":[{"event_id":"sha256:16d78db99fef79ce6eac0ad1c036c6f9a15a83682a3cc3c7c9b90be2734558a2","target":"graph","created_at":"2026-07-05T11:10:38Z","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/2505.21200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language-Action (VLA) models have emerged as a powerful paradigm for general-purpose robot control through natural language instructions. However, their high inference cost-stemming from large-scale token computation and autoregressive decoding-poses significant challenges for real-time deployment and edge applications. While prior work has primarily focused on architectural optimization, we take a different perspective by identifying a dual form of redundancy in VLA models: (i) high similarity across consecutive action steps, and (ii) substantial redundancy in visual tokens. Motivated ","authors_text":"Bizhe Bai, Jia Hao, Jialin Zheng, Peng Ye, Tao Chen, Xinyi Wang, Xudong Tan, Yaoxin Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:47:18Z","title":"Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21200","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":"sha256:8e0a28cb1a3d8e7c3686829dfe18d7044f0953b63788ec01dc3d7ab997ccf4ef","target":"record","created_at":"2026-07-05T11:10:38Z","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":"4353a226e7d4c1053028d1b9c82bb1c04ea0af10f3f90d0fef2e062b8ae08b48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:47:18Z","title_canon_sha256":"9c6660d904ab4622b9554f8a47f9f5dc973707bfc86da484042d6b72ff931569"},"schema_version":"1.0","source":{"id":"2505.21200","kind":"arxiv","version":1}},"canonical_sha256":"f00bf2e9548bdd88be6888060a8e579ed38fe90620204461800696a07e6b4559","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f00bf2e9548bdd88be6888060a8e579ed38fe90620204461800696a07e6b4559","first_computed_at":"2026-07-05T11:10:38.646097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:38.646097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u7JjH6OHezxBnq6cC2x0Rpkq9vHveuzVm9kCAdoDXCxfteLCPx6U7AJVbU6Xr7jc7ePxvl3EZfuqbmyq2lmpCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:38.646587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21200","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e0a28cb1a3d8e7c3686829dfe18d7044f0953b63788ec01dc3d7ab997ccf4ef","sha256:16d78db99fef79ce6eac0ad1c036c6f9a15a83682a3cc3c7c9b90be2734558a2"],"state_sha256":"17595e1c9e0e85e028ee204d18179f7c16136d0ba15b412112c25941f9dde49e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r7xVr58GNZrCe9mqnPJxNXYhWaKejwGABYfFqacOwSt0zKRCRKfOfYHVFrjrvTovhLI1TsVXa0eFd8WUv6sUAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T19:25:46.806500Z","bundle_sha256":"cce00b779a3e7a1c1103ea3f888bc946a3762c5a29a5f00c9274bdaf33cabcb5"}}