{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HGREYYVSBCYACNDRJXMR26JFH2","short_pith_number":"pith:HGREYYVS","canonical_record":{"source":{"id":"2310.12020","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-10-18T14:53:14Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"1331bfc7a1f5ec8de40cec19d913e5b2c7140b0b6f66dfd5a2cc154b590b4965","abstract_canon_sha256":"77fcb68de9a82b141a4dbe0b8ffc5df74eb86bd0d199aad4ea81b5300f6951ac"},"schema_version":"1.0"},"canonical_sha256":"39a24c62b208b00134714dd91d79253e998ae44724b557a85288148c363bffb4","source":{"kind":"arxiv","id":"2310.12020","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12020","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12020v2","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12020","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"HGREYYVSBCYA","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"HGREYYVSBCYACNDR","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"HGREYYVS","created_at":"2026-07-05T07:04:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HGREYYVSBCYACNDRJXMR26JFH2","target":"record","payload":{"canonical_record":{"source":{"id":"2310.12020","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-10-18T14:53:14Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"1331bfc7a1f5ec8de40cec19d913e5b2c7140b0b6f66dfd5a2cc154b590b4965","abstract_canon_sha256":"77fcb68de9a82b141a4dbe0b8ffc5df74eb86bd0d199aad4ea81b5300f6951ac"},"schema_version":"1.0"},"canonical_sha256":"39a24c62b208b00134714dd91d79253e998ae44724b557a85288148c363bffb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:04:01.342661Z","signature_b64":"08DsXUal/9jKuQl/oKO5XbtD7Pc6fBw5DwdwIoWjR+sV3v4Y4LResaGTjly+5ZIHjBm3hbkAxf52lXFPAGJQBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39a24c62b208b00134714dd91d79253e998ae44724b557a85288148c363bffb4","last_reissued_at":"2026-07-05T07:04:01.342078Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:04:01.342078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.12020","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TNsPXUMP3K8dB0CG/pfs8R2PcE7bhCFI2sP4twOWlmhdjDStE6Tvi48w+PahRfen6EF85hgvuUZejjSmPknxCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:40:44.519032Z"},"content_sha256":"055d36e3a95691e9c186acc1a22eae24c34248c3bb922add8128c630a011ab29","schema_version":"1.0","event_id":"sha256:055d36e3a95691e9c186acc1a22eae24c34248c3bb922add8128c630a011ab29"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HGREYYVSBCYACNDRJXMR26JFH2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.RO","authors_text":"Abdeldjallil Naceri, Barbara Plank, Hinrich Sch\\\"utze, Luis Figueredo, L\\\"utfi Kerem \\c{S}enel, Philipp Wicke, Sami Haddadin, Shengqiang Zhang","submitted_at":"2023-10-18T14:53:14Z","abstract_excerpt":"The convergence of embodied agents and large language models (LLMs) has brought significant advancements to embodied instruction following. Particularly, the strong reasoning capabilities of LLMs make it possible for robots to perform long-horizon tasks without expensive annotated demonstrations. However, public benchmarks for testing the long-horizon reasoning capabilities of language-conditioned robots in various scenarios are still missing. To fill this gap, this work focuses on the tabletop manipulation task and releases a simulation benchmark, \\textit{LoHoRavens}, which covers various lon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12020","kind":"arxiv","version":2},"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/2310.12020/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":"2026-07-05T07:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hqMm1yUOYhXGfT4u5m33R2pN4xWWZoADfvRPo0tJutvhuXOfoVOmL5AtGzOzEzK8snXh6dudxFisiqlyDnUCCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:40:44.519570Z"},"content_sha256":"f2a8d030d2e322094e796c703b10772fbffa2120eda3392c3edd555cea317983","schema_version":"1.0","event_id":"sha256:f2a8d030d2e322094e796c703b10772fbffa2120eda3392c3edd555cea317983"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HGREYYVSBCYACNDRJXMR26JFH2/bundle.json","state_url":"https://pith.science/pith/HGREYYVSBCYACNDRJXMR26JFH2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HGREYYVSBCYACNDRJXMR26JFH2/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":"2026-08-08T14:40:44Z","links":{"resolver":"https://pith.science/pith/HGREYYVSBCYACNDRJXMR26JFH2","bundle":"https://pith.science/pith/HGREYYVSBCYACNDRJXMR26JFH2/bundle.json","state":"https://pith.science/pith/HGREYYVSBCYACNDRJXMR26JFH2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HGREYYVSBCYACNDRJXMR26JFH2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HGREYYVSBCYACNDRJXMR26JFH2","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":"77fcb68de9a82b141a4dbe0b8ffc5df74eb86bd0d199aad4ea81b5300f6951ac","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-10-18T14:53:14Z","title_canon_sha256":"1331bfc7a1f5ec8de40cec19d913e5b2c7140b0b6f66dfd5a2cc154b590b4965"},"schema_version":"1.0","source":{"id":"2310.12020","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12020","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12020v2","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12020","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"HGREYYVSBCYA","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"HGREYYVSBCYACNDR","created_at":"2026-07-05T07:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"HGREYYVS","created_at":"2026-07-05T07:04:01Z"}],"graph_snapshots":[{"event_id":"sha256:f2a8d030d2e322094e796c703b10772fbffa2120eda3392c3edd555cea317983","target":"graph","created_at":"2026-07-05T07:04:01Z","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/2310.12020/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The convergence of embodied agents and large language models (LLMs) has brought significant advancements to embodied instruction following. Particularly, the strong reasoning capabilities of LLMs make it possible for robots to perform long-horizon tasks without expensive annotated demonstrations. However, public benchmarks for testing the long-horizon reasoning capabilities of language-conditioned robots in various scenarios are still missing. To fill this gap, this work focuses on the tabletop manipulation task and releases a simulation benchmark, \\textit{LoHoRavens}, which covers various lon","authors_text":"Abdeldjallil Naceri, Barbara Plank, Hinrich Sch\\\"utze, Luis Figueredo, L\\\"utfi Kerem \\c{S}enel, Philipp Wicke, Sami Haddadin, Shengqiang Zhang","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-10-18T14:53:14Z","title":"LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12020","kind":"arxiv","version":2},"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":"sha256:055d36e3a95691e9c186acc1a22eae24c34248c3bb922add8128c630a011ab29","target":"record","created_at":"2026-07-05T07:04:01Z","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":"77fcb68de9a82b141a4dbe0b8ffc5df74eb86bd0d199aad4ea81b5300f6951ac","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-10-18T14:53:14Z","title_canon_sha256":"1331bfc7a1f5ec8de40cec19d913e5b2c7140b0b6f66dfd5a2cc154b590b4965"},"schema_version":"1.0","source":{"id":"2310.12020","kind":"arxiv","version":2}},"canonical_sha256":"39a24c62b208b00134714dd91d79253e998ae44724b557a85288148c363bffb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39a24c62b208b00134714dd91d79253e998ae44724b557a85288148c363bffb4","first_computed_at":"2026-07-05T07:04:01.342078Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:01.342078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"08DsXUal/9jKuQl/oKO5XbtD7Pc6fBw5DwdwIoWjR+sV3v4Y4LResaGTjly+5ZIHjBm3hbkAxf52lXFPAGJQBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:01.342661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.12020","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:055d36e3a95691e9c186acc1a22eae24c34248c3bb922add8128c630a011ab29","sha256:f2a8d030d2e322094e796c703b10772fbffa2120eda3392c3edd555cea317983"],"state_sha256":"b99776d08b85a76ceb0d68c66d2e4eb81fd70b6555d0a547e44f79a460bae9af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BBVThgXDr/TG3aYdh9ozu+E7Kr8Inr4WQIYxFs21asN2o8c5aptEJ9aVAHsjNFj4MDeSpKNE1LiipRDFS72KBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:40:44.524875Z","bundle_sha256":"87baa7533490849b0e3e327e1cc9a856043858e429f1e2b628d0be0cdaf6679d"}}