{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:V2GNSXKG4NR3A77XC6J6FPLGDZ","short_pith_number":"pith:V2GNSXKG","canonical_record":{"source":{"id":"2306.09922","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-06-16T15:47:24Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"95b4b97bf25b36def7cbc3450e97545dfd560312a5287f3db9e76bd1f2f509f9","abstract_canon_sha256":"74419045a6ba3e88a5546aeaafa59eee5f6bb7f45e68fec04f0073553dc65904"},"schema_version":"1.0"},"canonical_sha256":"ae8cd95d46e363b07ff71793e2bd661e7ab66d829fd2eb15391e316966bb72c3","source":{"kind":"arxiv","id":"2306.09922","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.09922","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"arxiv_version","alias_value":"2306.09922v1","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.09922","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"pith_short_12","alias_value":"V2GNSXKG4NR3","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"pith_short_16","alias_value":"V2GNSXKG4NR3A77X","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"pith_short_8","alias_value":"V2GNSXKG","created_at":"2026-07-05T06:21:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:V2GNSXKG4NR3A77XC6J6FPLGDZ","target":"record","payload":{"canonical_record":{"source":{"id":"2306.09922","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-06-16T15:47:24Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"95b4b97bf25b36def7cbc3450e97545dfd560312a5287f3db9e76bd1f2f509f9","abstract_canon_sha256":"74419045a6ba3e88a5546aeaafa59eee5f6bb7f45e68fec04f0073553dc65904"},"schema_version":"1.0"},"canonical_sha256":"ae8cd95d46e363b07ff71793e2bd661e7ab66d829fd2eb15391e316966bb72c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:21:25.449055Z","signature_b64":"9Mqmmx5TvyyQXRAKLiTqTrVO8s+aCB9zGxTE1tQprv6wZHW4hDgFF5jrde/tKWam1Q4FHtagO6txrmdphKeLBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae8cd95d46e363b07ff71793e2bd661e7ab66d829fd2eb15391e316966bb72c3","last_reissued_at":"2026-07-05T06:21:25.448566Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:21:25.448566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.09922","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":"2026-07-05T06:21:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zJjDzRRzEcplvE2W0h6aor7PEyXxxdSq/Psf9+sbPqDXodTEFHbR2Ng263MaFPQcKVBn7mqhodW85ToMHXQeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:16:52.913246Z"},"content_sha256":"ea0d175244e6d34c2ae79e6b80a936109aeae38936f339838ba36e43dfadaaad","schema_version":"1.0","event_id":"sha256:ea0d175244e6d34c2ae79e6b80a936109aeae38936f339838ba36e43dfadaaad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:V2GNSXKG4NR3A77XC6J6FPLGDZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.RO","authors_text":"Chad DeChant, Daniel Bauer, Iretiayo Akinola","submitted_at":"2023-06-16T15:47:24Z","abstract_excerpt":"When robots perform long action sequences, users will want to easily and reliably find out what they have done. We therefore demonstrate the task of learning to summarize and answer questions about a robot agent's past actions using natural language alone. A single system with a large language model at its core is trained to both summarize and answer questions about action sequences given ego-centric video frames of a virtual robot and a question prompt. To enable training of question answering, we develop a method to automatically generate English-language questions and answers about objects,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.09922","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/2306.09922/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":"2026-07-05T06:21:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Us0gBWe2lDTDYcSiabJYgbyomVGbCCR1kPFBUyePMhj1wGKuUDW0xYRy4NXWEiGUEF31clS/2G0WpEXhDYraCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:16:52.913814Z"},"content_sha256":"4ef8089a060aed124044103fd4231a99c50109565ef12279c336f4b0f58853b2","schema_version":"1.0","event_id":"sha256:4ef8089a060aed124044103fd4231a99c50109565ef12279c336f4b0f58853b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ/bundle.json","state_url":"https://pith.science/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ/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":"2026-08-04T11:16:52Z","links":{"resolver":"https://pith.science/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ","bundle":"https://pith.science/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ/bundle.json","state":"https://pith.science/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V2GNSXKG4NR3A77XC6J6FPLGDZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V2GNSXKG4NR3A77XC6J6FPLGDZ","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":"74419045a6ba3e88a5546aeaafa59eee5f6bb7f45e68fec04f0073553dc65904","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-06-16T15:47:24Z","title_canon_sha256":"95b4b97bf25b36def7cbc3450e97545dfd560312a5287f3db9e76bd1f2f509f9"},"schema_version":"1.0","source":{"id":"2306.09922","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.09922","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"arxiv_version","alias_value":"2306.09922v1","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.09922","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"pith_short_12","alias_value":"V2GNSXKG4NR3","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"pith_short_16","alias_value":"V2GNSXKG4NR3A77X","created_at":"2026-07-05T06:21:25Z"},{"alias_kind":"pith_short_8","alias_value":"V2GNSXKG","created_at":"2026-07-05T06:21:25Z"}],"graph_snapshots":[{"event_id":"sha256:4ef8089a060aed124044103fd4231a99c50109565ef12279c336f4b0f58853b2","target":"graph","created_at":"2026-07-05T06:21:25Z","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/2306.09922/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When robots perform long action sequences, users will want to easily and reliably find out what they have done. We therefore demonstrate the task of learning to summarize and answer questions about a robot agent's past actions using natural language alone. A single system with a large language model at its core is trained to both summarize and answer questions about action sequences given ego-centric video frames of a virtual robot and a question prompt. To enable training of question answering, we develop a method to automatically generate English-language questions and answers about objects,","authors_text":"Chad DeChant, Daniel Bauer, Iretiayo Akinola","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-06-16T15:47:24Z","title":"Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.09922","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:ea0d175244e6d34c2ae79e6b80a936109aeae38936f339838ba36e43dfadaaad","target":"record","created_at":"2026-07-05T06:21:25Z","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":"74419045a6ba3e88a5546aeaafa59eee5f6bb7f45e68fec04f0073553dc65904","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-06-16T15:47:24Z","title_canon_sha256":"95b4b97bf25b36def7cbc3450e97545dfd560312a5287f3db9e76bd1f2f509f9"},"schema_version":"1.0","source":{"id":"2306.09922","kind":"arxiv","version":1}},"canonical_sha256":"ae8cd95d46e363b07ff71793e2bd661e7ab66d829fd2eb15391e316966bb72c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae8cd95d46e363b07ff71793e2bd661e7ab66d829fd2eb15391e316966bb72c3","first_computed_at":"2026-07-05T06:21:25.448566Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:21:25.448566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9Mqmmx5TvyyQXRAKLiTqTrVO8s+aCB9zGxTE1tQprv6wZHW4hDgFF5jrde/tKWam1Q4FHtagO6txrmdphKeLBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:21:25.449055Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.09922","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea0d175244e6d34c2ae79e6b80a936109aeae38936f339838ba36e43dfadaaad","sha256:4ef8089a060aed124044103fd4231a99c50109565ef12279c336f4b0f58853b2"],"state_sha256":"efda4062ed4da70f9ee0a856814220b538f8c4b3017951b37ea76816e140f27c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lDuaP4y6uegQG8TYM5Xwn3VZZqi6PDGrsU65XWouxpJQrvIBFXwTUBytKz7r1sB30AiVLPO/Hz4UZsxarG+iCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T11:16:52.918129Z","bundle_sha256":"d39c023592c631f05330a50144fcc355659e9d96522993f7caa3825e14e106d7"}}