{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NF2C2HTAJOTK3GPCMC2MNEZZE6","short_pith_number":"pith:NF2C2HTA","canonical_record":{"source":{"id":"2608.11671","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T05:30:53Z","cross_cats_sorted":[],"title_canon_sha256":"b4b56b29309807dc396eac664a864d06ae4d3494b5ea3866cb37bfaa5c06cb7d","abstract_canon_sha256":"1b2cc17c1acfb2455ffded5bacdaa16a99590d41a531bb5402588988c353328a"},"schema_version":"1.0"},"canonical_sha256":"69742d1e604ba6ad99e260b4c6933927bb83163f53709104121e4b8d26b397e0","source":{"kind":"arxiv","id":"2608.11671","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11671","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11671v1","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11671","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"pith_short_12","alias_value":"NF2C2HTAJOTK","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"pith_short_16","alias_value":"NF2C2HTAJOTK3GPC","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"pith_short_8","alias_value":"NF2C2HTA","created_at":"2026-08-13T01:27:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NF2C2HTAJOTK3GPCMC2MNEZZE6","target":"record","payload":{"canonical_record":{"source":{"id":"2608.11671","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T05:30:53Z","cross_cats_sorted":[],"title_canon_sha256":"b4b56b29309807dc396eac664a864d06ae4d3494b5ea3866cb37bfaa5c06cb7d","abstract_canon_sha256":"1b2cc17c1acfb2455ffded5bacdaa16a99590d41a531bb5402588988c353328a"},"schema_version":"1.0"},"canonical_sha256":"69742d1e604ba6ad99e260b4c6933927bb83163f53709104121e4b8d26b397e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T01:27:17.074233Z","signature_b64":"N6bWRrW6AJWu9UMfGspjrZ5uYqOiasTT+igCJtWgg7z2hJOZ5HhxfARoaqSBTIcgIh+URYHqbAkFnQuuS1ztDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69742d1e604ba6ad99e260b4c6933927bb83163f53709104121e4b8d26b397e0","last_reissued_at":"2026-08-13T01:27:17.071784Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T01:27:17.071784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.11671","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":"2026-08-13T01:27:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N6coHb6sKFLRjfeCjxz9kjiC80vcJH74s+FJJdGpKOrEG8nuytyhHYZSa/xo14PBtAood0zPTNDR0/gX1mGOAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:23:35.653605Z"},"content_sha256":"7758e60124e256ffccaa9b223375175e3e4ad7d789333681559c1b972f73f526","schema_version":"1.0","event_id":"sha256:7758e60124e256ffccaa9b223375175e3e4ad7d789333681559c1b972f73f526"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NF2C2HTAJOTK3GPCMC2MNEZZE6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Chang Xu, Chengbin Du, Chenghao Xia, Daochang Liu, Dihao Zhu, Siyu Xu, Tao Huang, Yunke Wang, Zijian Wang","submitted_at":"2026-08-12T05:30:53Z","abstract_excerpt":"Vision-Language-Action (VLA) models can follow instructions and manipulate objects, but their performance often collapses out of distribution (OOD), when the scene, viewpoint, or object differs from training. Adapting to each new situation typically requires collecting more data and fine-tuning. We present StellaVLA, a framework that instead adapts at test time by conditioning on a single retrieved demonstration. The key idea is to move beyond imitating what an expert did and instead convey why: an automated offline pipeline converts each raw trajectory into a structured demonstration, e.g., a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11671","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/2608.11671/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":"2026-08-13T01:27:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pDQWEhOFkplGmEgpDBiD6jDAco/sMC7QYJhvzX6JefgSY8JQ+g6snydIN4U7coC4VN1duRTOu7OooQBSq8jECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:23:35.654699Z"},"content_sha256":"bc303524c33b127664bf7132ec60b05a2d5918353f5f381e24bbb2ffcceac3dd","schema_version":"1.0","event_id":"sha256:bc303524c33b127664bf7132ec60b05a2d5918353f5f381e24bbb2ffcceac3dd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6/bundle.json","state_url":"https://pith.science/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6/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":"2026-08-18T06:23:35Z","links":{"resolver":"https://pith.science/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6","bundle":"https://pith.science/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6/bundle.json","state":"https://pith.science/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NF2C2HTAJOTK3GPCMC2MNEZZE6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NF2C2HTAJOTK3GPCMC2MNEZZE6","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":"1b2cc17c1acfb2455ffded5bacdaa16a99590d41a531bb5402588988c353328a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T05:30:53Z","title_canon_sha256":"b4b56b29309807dc396eac664a864d06ae4d3494b5ea3866cb37bfaa5c06cb7d"},"schema_version":"1.0","source":{"id":"2608.11671","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.11671","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"arxiv_version","alias_value":"2608.11671v1","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11671","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"pith_short_12","alias_value":"NF2C2HTAJOTK","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"pith_short_16","alias_value":"NF2C2HTAJOTK3GPC","created_at":"2026-08-13T01:27:17Z"},{"alias_kind":"pith_short_8","alias_value":"NF2C2HTA","created_at":"2026-08-13T01:27:17Z"}],"graph_snapshots":[{"event_id":"sha256:bc303524c33b127664bf7132ec60b05a2d5918353f5f381e24bbb2ffcceac3dd","target":"graph","created_at":"2026-08-13T01:27:17Z","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/2608.11671/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language-Action (VLA) models can follow instructions and manipulate objects, but their performance often collapses out of distribution (OOD), when the scene, viewpoint, or object differs from training. Adapting to each new situation typically requires collecting more data and fine-tuning. We present StellaVLA, a framework that instead adapts at test time by conditioning on a single retrieved demonstration. The key idea is to move beyond imitating what an expert did and instead convey why: an automated offline pipeline converts each raw trajectory into a structured demonstration, e.g., a","authors_text":"Chang Xu, Chengbin Du, Chenghao Xia, Daochang Liu, Dihao Zhu, Siyu Xu, Tao Huang, Yunke Wang, Zijian Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T05:30:53Z","title":"StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11671","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":"sha256:7758e60124e256ffccaa9b223375175e3e4ad7d789333681559c1b972f73f526","target":"record","created_at":"2026-08-13T01:27:17Z","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":"1b2cc17c1acfb2455ffded5bacdaa16a99590d41a531bb5402588988c353328a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T05:30:53Z","title_canon_sha256":"b4b56b29309807dc396eac664a864d06ae4d3494b5ea3866cb37bfaa5c06cb7d"},"schema_version":"1.0","source":{"id":"2608.11671","kind":"arxiv","version":1}},"canonical_sha256":"69742d1e604ba6ad99e260b4c6933927bb83163f53709104121e4b8d26b397e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69742d1e604ba6ad99e260b4c6933927bb83163f53709104121e4b8d26b397e0","first_computed_at":"2026-08-13T01:27:17.071784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-13T01:27:17.071784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N6bWRrW6AJWu9UMfGspjrZ5uYqOiasTT+igCJtWgg7z2hJOZ5HhxfARoaqSBTIcgIh+URYHqbAkFnQuuS1ztDw==","signature_status":"signed_v1","signed_at":"2026-08-13T01:27:17.074233Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.11671","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7758e60124e256ffccaa9b223375175e3e4ad7d789333681559c1b972f73f526","sha256:bc303524c33b127664bf7132ec60b05a2d5918353f5f381e24bbb2ffcceac3dd"],"state_sha256":"a0aa46dd5012b48acd382728663298f72235ee93d8624832a46aef172c9e11c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0FlCqX2GAoiw2ZqYxuYfwdwAbm1F9hMaMSn8nWdqApo+iKvHQso02L+XujNjHo9mUTVQ38jDSui08BB252BSDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:23:35.662473Z","bundle_sha256":"2829ef57290580ef0b16514f349fed2d0b46b3ad0307ad7afd42ea68d488977e"}}