{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3J5INZ7RZIJ2FJOOMYFCZDMG4N","short_pith_number":"pith:3J5INZ7R","canonical_record":{"source":{"id":"2509.21543","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-09-25T20:29:40Z","cross_cats_sorted":[],"title_canon_sha256":"a5620fc3048e6713d4fbe18abc5be085f4ac4b6e16d6c8280cc16ec265f6e714","abstract_canon_sha256":"ba2792869710c28d98d7b80b6db718954b256c8865e3557f56bd0104f811b651"},"schema_version":"1.0"},"canonical_sha256":"da7a86e7f1ca13a2a5ce660a2c8d86e37b1fc04c23c45a5ba03ec909fe3fae5e","source":{"kind":"arxiv","id":"2509.21543","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.21543","created_at":"2026-05-18T02:44:33Z"},{"alias_kind":"arxiv_version","alias_value":"2509.21543v3","created_at":"2026-05-18T02:44:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.21543","created_at":"2026-05-18T02:44:33Z"},{"alias_kind":"pith_short_12","alias_value":"3J5INZ7RZIJ2","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"3J5INZ7RZIJ2FJOO","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"3J5INZ7R","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3J5INZ7RZIJ2FJOOMYFCZDMG4N","target":"record","payload":{"canonical_record":{"source":{"id":"2509.21543","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-09-25T20:29:40Z","cross_cats_sorted":[],"title_canon_sha256":"a5620fc3048e6713d4fbe18abc5be085f4ac4b6e16d6c8280cc16ec265f6e714","abstract_canon_sha256":"ba2792869710c28d98d7b80b6db718954b256c8865e3557f56bd0104f811b651"},"schema_version":"1.0"},"canonical_sha256":"da7a86e7f1ca13a2a5ce660a2c8d86e37b1fc04c23c45a5ba03ec909fe3fae5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:44:33.203150Z","signature_b64":"0GAbDYPXEnNpdo2/xlyUmnBfd93NhO6iKJGKp6zudt/0vye5BZcrlXy5pURfLXhYrY9v4Dq/o50/2KkvAlqyCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da7a86e7f1ca13a2a5ce660a2c8d86e37b1fc04c23c45a5ba03ec909fe3fae5e","last_reissued_at":"2026-05-18T02:44:33.202598Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:44:33.202598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.21543","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":"2026-05-18T02:44:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pVcXn3cWhEaQVRjOxpojjy1FB3PVRV0MozKdTmS8u4sa5ahQXf+Sx+8ebYpUBBc4RkA0+V5ooKC6G6eUzz9dBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:36:11.936293Z"},"content_sha256":"4f5fdefa869204be857f2119b2e115085e6136c8d10ee85d49a644bb3cbffa56","schema_version":"1.0","event_id":"sha256:4f5fdefa869204be857f2119b2e115085e6136c8d10ee85d49a644bb3cbffa56"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3J5INZ7RZIJ2FJOOMYFCZDMG4N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Jinbang Huang, Mark Coates, Xingyue Quan, Yingxue Zhang, Yuanzhao Hu, Zhanguang Zhang, Zhiyuan Li","submitted_at":"2025-09-25T20:29:40Z","abstract_excerpt":"Large Language Models (LLMs) have shown strong promise for robotic task planning, particularly through the automatic generation of symbolic planning domains. However, prior work mainly treats generated domains as planning utilities. Such pipelines remain brittle under imperfect logical states and perception noise, while overlooking the potential of generated domains as scalable sources of reasoning supervision and structured reward signals. At the same time, reasoning LLMs depend on chain-of-thought (CoT) supervision, which is expensive to collect for robotic tasks, and reinforcement learning "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.21543","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":""},"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":"2026-05-18T02:44:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ap5tjFyF9UALPVf3TtQCQGyJkvcYOUmaQ6C/gJ4oSxcDJTQXNpZGFdup21tDfzUTRWv81A7eSQ9odhI3StjpDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:36:11.936663Z"},"content_sha256":"49037115be7b9d398a6892d20a8f90417cda3ee6e6c2ed5bd3f66c61b5e72d04","schema_version":"1.0","event_id":"sha256:49037115be7b9d398a6892d20a8f90417cda3ee6e6c2ed5bd3f66c61b5e72d04"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N/bundle.json","state_url":"https://pith.science/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N/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":"2026-05-26T07:36:11Z","links":{"resolver":"https://pith.science/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N","bundle":"https://pith.science/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N/bundle.json","state":"https://pith.science/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3J5INZ7RZIJ2FJOOMYFCZDMG4N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3J5INZ7RZIJ2FJOOMYFCZDMG4N","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":"ba2792869710c28d98d7b80b6db718954b256c8865e3557f56bd0104f811b651","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-09-25T20:29:40Z","title_canon_sha256":"a5620fc3048e6713d4fbe18abc5be085f4ac4b6e16d6c8280cc16ec265f6e714"},"schema_version":"1.0","source":{"id":"2509.21543","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.21543","created_at":"2026-05-18T02:44:33Z"},{"alias_kind":"arxiv_version","alias_value":"2509.21543v3","created_at":"2026-05-18T02:44:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.21543","created_at":"2026-05-18T02:44:33Z"},{"alias_kind":"pith_short_12","alias_value":"3J5INZ7RZIJ2","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"3J5INZ7RZIJ2FJOO","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"3J5INZ7R","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:49037115be7b9d398a6892d20a8f90417cda3ee6e6c2ed5bd3f66c61b5e72d04","target":"graph","created_at":"2026-05-18T02:44:33Z","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"},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown strong promise for robotic task planning, particularly through the automatic generation of symbolic planning domains. However, prior work mainly treats generated domains as planning utilities. Such pipelines remain brittle under imperfect logical states and perception noise, while overlooking the potential of generated domains as scalable sources of reasoning supervision and structured reward signals. At the same time, reasoning LLMs depend on chain-of-thought (CoT) supervision, which is expensive to collect for robotic tasks, and reinforcement learning ","authors_text":"Jinbang Huang, Mark Coates, Xingyue Quan, Yingxue Zhang, Yuanzhao Hu, Zhanguang Zhang, Zhiyuan Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-09-25T20:29:40Z","title":"Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.21543","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":"sha256:4f5fdefa869204be857f2119b2e115085e6136c8d10ee85d49a644bb3cbffa56","target":"record","created_at":"2026-05-18T02:44:33Z","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":"ba2792869710c28d98d7b80b6db718954b256c8865e3557f56bd0104f811b651","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-09-25T20:29:40Z","title_canon_sha256":"a5620fc3048e6713d4fbe18abc5be085f4ac4b6e16d6c8280cc16ec265f6e714"},"schema_version":"1.0","source":{"id":"2509.21543","kind":"arxiv","version":3}},"canonical_sha256":"da7a86e7f1ca13a2a5ce660a2c8d86e37b1fc04c23c45a5ba03ec909fe3fae5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da7a86e7f1ca13a2a5ce660a2c8d86e37b1fc04c23c45a5ba03ec909fe3fae5e","first_computed_at":"2026-05-18T02:44:33.202598Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:44:33.202598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0GAbDYPXEnNpdo2/xlyUmnBfd93NhO6iKJGKp6zudt/0vye5BZcrlXy5pURfLXhYrY9v4Dq/o50/2KkvAlqyCA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:44:33.203150Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.21543","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f5fdefa869204be857f2119b2e115085e6136c8d10ee85d49a644bb3cbffa56","sha256:49037115be7b9d398a6892d20a8f90417cda3ee6e6c2ed5bd3f66c61b5e72d04"],"state_sha256":"8455f3a23abbda7083d3e10ee39dab91a0fc1859ae498c9d6fe7e85cd93ad485"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bAytS450HyRTHJzzWCnCGLqft/yu4/oBFF2+79cTNhhJQ1lBNTF94cfRd5pS5e+Kh5oNjs7SKaxArim2S29OCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T07:36:11.938776Z","bundle_sha256":"9dd4e667b3ef2381beeae694cb4d638ae4000e1eca0e2fa9036b523a0de315f4"}}