{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:P4Y6LMG75LXTD637KBAHWME7XL","short_pith_number":"pith:P4Y6LMG7","canonical_record":{"source":{"id":"2211.11736","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-21T18:56:00Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"dd1d274aab054df96374cf25e274b84e511adc13dd0551bef9e31f1ae7217fb3","abstract_canon_sha256":"ee3eae6159dbf7eb3682d3b86f3d2a83dbc291682e62d6dc554c8fd7d6ee8f5c"},"schema_version":"1.0"},"canonical_sha256":"7f31e5b0dfeaef31fb7f50407b309fbacebb2b45104ba78d3f80eac266cce0fd","source":{"kind":"arxiv","id":"2211.11736","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.11736","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"arxiv_version","alias_value":"2211.11736v3","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11736","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"pith_short_12","alias_value":"P4Y6LMG75LXT","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"pith_short_16","alias_value":"P4Y6LMG75LXTD637","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"pith_short_8","alias_value":"P4Y6LMG7","created_at":"2026-07-05T06:26:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:P4Y6LMG75LXTD637KBAHWME7XL","target":"record","payload":{"canonical_record":{"source":{"id":"2211.11736","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-21T18:56:00Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"dd1d274aab054df96374cf25e274b84e511adc13dd0551bef9e31f1ae7217fb3","abstract_canon_sha256":"ee3eae6159dbf7eb3682d3b86f3d2a83dbc291682e62d6dc554c8fd7d6ee8f5c"},"schema_version":"1.0"},"canonical_sha256":"7f31e5b0dfeaef31fb7f50407b309fbacebb2b45104ba78d3f80eac266cce0fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:26:44.107776Z","signature_b64":"ZwTaGTmPY8y65tA7l+p8xDPJzPylUyTlbhrY8OuROeaaHnTvNivUPY5Jg2YZaqBw+XqAr0ClrH43/J4s/0QyAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f31e5b0dfeaef31fb7f50407b309fbacebb2b45104ba78d3f80eac266cce0fd","last_reissued_at":"2026-07-05T06:26:44.107247Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:26:44.107247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.11736","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:26:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"phzkCoBYjbSVr28cJclnYsJF5umQ4JK0yCDPiLXuBrdx5U7KAXv+mNOQFBu7kQWd9Ei9uxzuGADQN5lURBc8DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:06:26.599510Z"},"content_sha256":"6f003b5f2c628733f74ad20dafdef4e8962fdc0a3ecc4e97f0b2be914178852c","schema_version":"1.0","event_id":"sha256:6f003b5f2c628733f74ad20dafdef4e8962fdc0a3ecc4e97f0b2be914178852c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:P4Y6LMG75LXTD637KBAHWME7XL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Anthony Brohan, Ayzaan Wahid, Harris Chan, Jonathan Tompson, Karol Hausman, Pierre Sermanet, Sergey Levine, Ted Xiao","submitted_at":"2022-11-21T18:56:00Z","abstract_excerpt":"In recent years, much progress has been made in learning robotic manipulation policies that follow natural language instructions. Such methods typically learn from corpora of robot-language data that was either collected with specific tasks in mind or expensively re-labelled by humans with rich language descriptions in hindsight. Recently, large-scale pretrained vision-language models (VLMs) like CLIP or ViLD have been applied to robotics for learning representations and scene descriptors. Can these pretrained models serve as automatic labelers for robot data, effectively importing Internet-sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11736","kind":"arxiv","version":3},"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/2211.11736/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":"2026-07-05T06:26:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ry6ZB+5rwdD7Zyoz5nzbn4Pu3korbIQIob+423xMMTWawrd7vLBe3iaJVEPu2XDWcneRWhETJJtEsliAgmypBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:06:26.600015Z"},"content_sha256":"d5b64217aea1fb2f025939fb2b9e72380d9faa165833dde05d76ec223530e9b4","schema_version":"1.0","event_id":"sha256:d5b64217aea1fb2f025939fb2b9e72380d9faa165833dde05d76ec223530e9b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P4Y6LMG75LXTD637KBAHWME7XL/bundle.json","state_url":"https://pith.science/pith/P4Y6LMG75LXTD637KBAHWME7XL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P4Y6LMG75LXTD637KBAHWME7XL/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":"2026-08-05T05:06:26Z","links":{"resolver":"https://pith.science/pith/P4Y6LMG75LXTD637KBAHWME7XL","bundle":"https://pith.science/pith/P4Y6LMG75LXTD637KBAHWME7XL/bundle.json","state":"https://pith.science/pith/P4Y6LMG75LXTD637KBAHWME7XL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P4Y6LMG75LXTD637KBAHWME7XL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:P4Y6LMG75LXTD637KBAHWME7XL","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":"ee3eae6159dbf7eb3682d3b86f3d2a83dbc291682e62d6dc554c8fd7d6ee8f5c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-21T18:56:00Z","title_canon_sha256":"dd1d274aab054df96374cf25e274b84e511adc13dd0551bef9e31f1ae7217fb3"},"schema_version":"1.0","source":{"id":"2211.11736","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.11736","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"arxiv_version","alias_value":"2211.11736v3","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11736","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"pith_short_12","alias_value":"P4Y6LMG75LXT","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"pith_short_16","alias_value":"P4Y6LMG75LXTD637","created_at":"2026-07-05T06:26:44Z"},{"alias_kind":"pith_short_8","alias_value":"P4Y6LMG7","created_at":"2026-07-05T06:26:44Z"}],"graph_snapshots":[{"event_id":"sha256:d5b64217aea1fb2f025939fb2b9e72380d9faa165833dde05d76ec223530e9b4","target":"graph","created_at":"2026-07-05T06:26:44Z","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/2211.11736/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, much progress has been made in learning robotic manipulation policies that follow natural language instructions. Such methods typically learn from corpora of robot-language data that was either collected with specific tasks in mind or expensively re-labelled by humans with rich language descriptions in hindsight. Recently, large-scale pretrained vision-language models (VLMs) like CLIP or ViLD have been applied to robotics for learning representations and scene descriptors. Can these pretrained models serve as automatic labelers for robot data, effectively importing Internet-sc","authors_text":"Anthony Brohan, Ayzaan Wahid, Harris Chan, Jonathan Tompson, Karol Hausman, Pierre Sermanet, Sergey Levine, Ted Xiao","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-21T18:56:00Z","title":"Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11736","kind":"arxiv","version":3},"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":"sha256:6f003b5f2c628733f74ad20dafdef4e8962fdc0a3ecc4e97f0b2be914178852c","target":"record","created_at":"2026-07-05T06:26:44Z","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":"ee3eae6159dbf7eb3682d3b86f3d2a83dbc291682e62d6dc554c8fd7d6ee8f5c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-11-21T18:56:00Z","title_canon_sha256":"dd1d274aab054df96374cf25e274b84e511adc13dd0551bef9e31f1ae7217fb3"},"schema_version":"1.0","source":{"id":"2211.11736","kind":"arxiv","version":3}},"canonical_sha256":"7f31e5b0dfeaef31fb7f50407b309fbacebb2b45104ba78d3f80eac266cce0fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f31e5b0dfeaef31fb7f50407b309fbacebb2b45104ba78d3f80eac266cce0fd","first_computed_at":"2026-07-05T06:26:44.107247Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:26:44.107247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZwTaGTmPY8y65tA7l+p8xDPJzPylUyTlbhrY8OuROeaaHnTvNivUPY5Jg2YZaqBw+XqAr0ClrH43/J4s/0QyAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:26:44.107776Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.11736","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f003b5f2c628733f74ad20dafdef4e8962fdc0a3ecc4e97f0b2be914178852c","sha256:d5b64217aea1fb2f025939fb2b9e72380d9faa165833dde05d76ec223530e9b4"],"state_sha256":"6d5b0cfc3282f1f0ce91fda84d09af6085aedd4c7b87d1b35795d0961c6ad8a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1AKkbciPg4q2z9HmmDw/hyiCmd9dUEBsvEH3f85Q1lkgoQBnxngchmcqsHOx7673hNQHTHINcEruLHGnYPHNBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T05:06:26.605050Z","bundle_sha256":"2818083e84e56c78d48702f7cd87c12b2721faf42e4fef9f955c40112437608a"}}