{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CS3J7DBEL53PEMR4T6UOK5BSSD","short_pith_number":"pith:CS3J7DBE","schema_version":"1.0","canonical_sha256":"14b69f8c245f76f2323c9fa8e5743290c31a106886c43023f6b04d9e1c61075e","source":{"kind":"arxiv","id":"2607.14280","version":1},"attestation_state":"computed","paper":{"title":"DiMaS: Distribution Matching for Steering Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Jayneel Parekh, Matthieu Cord, Pegah Khayatan, Sara Meziane","submitted_at":"2026-07-15T18:39:13Z","abstract_excerpt":"Flow-matching-based vision-language-action (VLA) models have emerged as powerful policies for robotic manipulation, yet a critical capability remains underexplored: fine-grained behavioral control, the ability to govern how a robot performs a task by intervening on its internal representations. Representation steering is a well-established interpretability tool for language and vision-language models, where behavioral features are typically encoded as linear directions, but we show that these classic methods fall short in VLAs. We propose DiMaS, a Distribution-Matching Steering strategy tailor"},"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":"2607.14280","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-15T18:39:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3eb0a171d3af484e44d7c8a33f27fa0886ef6bd720afaa39e629e744cd53d7da","abstract_canon_sha256":"a65278597e63a456001751ad4d05ff61c50a398b270a153bd361a08988c7fb8f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-17T00:21:03.014165Z","signature_b64":"3H9DSlZfv1rH+W8M3kd/wbWH5nf8e2kQj0l5XNHjctFnvPpghAwnvI/1xYm7rn2OAqZCdwCJZ8/vCaA27qgMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14b69f8c245f76f2323c9fa8e5743290c31a106886c43023f6b04d9e1c61075e","last_reissued_at":"2026-07-17T00:21:03.013322Z","signature_status":"signed_v1","first_computed_at":"2026-07-17T00:21:03.013322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DiMaS: Distribution Matching for Steering Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Jayneel Parekh, Matthieu Cord, Pegah Khayatan, Sara Meziane","submitted_at":"2026-07-15T18:39:13Z","abstract_excerpt":"Flow-matching-based vision-language-action (VLA) models have emerged as powerful policies for robotic manipulation, yet a critical capability remains underexplored: fine-grained behavioral control, the ability to govern how a robot performs a task by intervening on its internal representations. Representation steering is a well-established interpretability tool for language and vision-language models, where behavioral features are typically encoded as linear directions, but we show that these classic methods fall short in VLAs. We propose DiMaS, a Distribution-Matching Steering strategy tailor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14280","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/2607.14280/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":"2607.14280","created_at":"2026-07-17T00:21:03.013767+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.14280v1","created_at":"2026-07-17T00:21:03.013767+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14280","created_at":"2026-07-17T00:21:03.013767+00:00"},{"alias_kind":"pith_short_12","alias_value":"CS3J7DBEL53P","created_at":"2026-07-17T00:21:03.013767+00:00"},{"alias_kind":"pith_short_16","alias_value":"CS3J7DBEL53PEMR4","created_at":"2026-07-17T00:21:03.013767+00:00"},{"alias_kind":"pith_short_8","alias_value":"CS3J7DBE","created_at":"2026-07-17T00:21:03.013767+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/CS3J7DBEL53PEMR4T6UOK5BSSD","json":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD.json","graph_json":"https://pith.science/api/pith-number/CS3J7DBEL53PEMR4T6UOK5BSSD/graph.json","events_json":"https://pith.science/api/pith-number/CS3J7DBEL53PEMR4T6UOK5BSSD/events.json","paper":"https://pith.science/paper/CS3J7DBE"},"agent_actions":{"view_html":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD","download_json":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD.json","view_paper":"https://pith.science/paper/CS3J7DBE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.14280&json=true","fetch_graph":"https://pith.science/api/pith-number/CS3J7DBEL53PEMR4T6UOK5BSSD/graph.json","fetch_events":"https://pith.science/api/pith-number/CS3J7DBEL53PEMR4T6UOK5BSSD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD/action/storage_attestation","attest_author":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD/action/author_attestation","sign_citation":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD/action/citation_signature","submit_replication":"https://pith.science/pith/CS3J7DBEL53PEMR4T6UOK5BSSD/action/replication_record"}},"created_at":"2026-07-17T00:21:03.013767+00:00","updated_at":"2026-07-17T00:21:03.013767+00:00"}