{"_canonicalization":{"envelope_id":"axm_ + sha256(envelope minus {signature, axiom_id, anchors})","envelope_signature":"ed25519(envelope minus {signature, axiom_id})","json":"sort_keys=True, separators=(',',':'), ensure_ascii=False, allow_nan=False, utf-8","leaf_hash":"sha256(0x00 || canonical_json(envelope_full))","seal_signature":"ed25519(seal minus {signature, sig_algorithm})"},"axiom_id":"axm_a51f8fa3c4211ea5f04f9f84d5f7ab481e0a99eac78b73e930becbca5673dc90","bitcoin_anchor":{"bitcoin_attestations":["bitcoin_block_949451"],"calendar_attestations":["https://finney.calendar.eternitywall.com","https://btc.calendar.catallaxy.com","https://alice.btc.calendar.opentimestamps.org","https://bob.btc.calendar.opentimestamps.org"],"ots_url":"/registry/data/substrate/anchors/77fc9c28fae777b81da5b495b3115474df6592dfac590333213d3bdf8b94a9b3.ots","stamped_at":"2026-05-15T03:00:03Z","status":"bitcoin"},"envelope":{"anchors":[{"chain":"crovia.axiom_graph","height":0,"merkle_proof":"spider_vendor_press_v1","root_at_anchor":"spider_vendor_press_v1"}],"axiom_id":"axm_a51f8fa3c4211ea5f04f9f84d5f7ab481e0a99eac78b73e930becbca5673dc90","axiom_type":"AX.OBS","body":{"axiom_subtype":"news.vendor_press.v1","category":"news","fingerprint":"5ddac17d893f53974e73e7757a26598ff2f61fac91cb47f65f26aad12dfcb305","published":"Wed, 19 Oct 2022 07:00:00 GMT","receipt_hash":"5ddac17d893f53974e73e7757a26598ff2f61fac91cb47f65f26aad12dfcb305","schema":"spider.news.vendor_press.v1","spider":"vendor_press","spider_record":{"axiom_subtype":"news.vendor_press.v1","category":"news","decision_hint":"POSITIVE","envelope_target":"AX.OBS","fingerprint":"5ddac17d893f53974e73e7757a26598ff2f61fac91cb47f65f26aad12dfcb305","observed_at":"2026-05-03T15:11:27.656745Z","parent_run_hash":null,"published":"Wed, 19 Oct 2022 07:00:00 GMT","runtime_version":"0.1.0","schema":"spider.news.vendor_press.v1","source_status":200,"source_url":"https://openai.com/blog/rss.xml","spider":"vendor_press","summary_excerpt":"","title":"Scaling laws for reward model overoptimization","url":"https://openai.com/index/scaling-laws-for-reward-model-overoptimization","vendor":"openai"},"title":"Scaling laws for reward model overoptimization","vendor":"openai"},"confidence":{"method":"deterministic"},"decision":"POSITIVE","issued_at":"2026-05-03T15:11:27Z","notes":"Spider vendor_press (news) news.vendor_press.v1","object":{"captured_by":"crovia.spider.vendor_press","primary_source_url":"https://openai.com/index/scaling-laws-for-reward-model-overoptimization"},"predecessors":[],"schema":"crovia.axiom.v1","signature":"ed25519:3a1df96091647bdaa591590a38f5498f6b9f96d4ff255709b58a52149971eacba53bce670d3d6338f5df4ae3f2d06d368c4450d6c387823e55478bb55819d202","signer":"crovia.substrate","subject":{"observed_at":"2026-05-03T15:11:27Z","source_collector":"spider:vendor_press","target_id":"https://openai.com/index/scaling-laws-for-reward-model-overoptimization"},"tsa":{"authority":"crovia.substrate.bootstrap","rfc3161_token":"{\"kind\":\"crovia.bootstrap.tsa\",\"source_jsonl\":\"/opt/crovia/spider/data/news/vendor_press_v1.jsonl\",\"source_seal_merkle_root\":\"spider_vendor_press_v1\",\"upgrade_path\":\"Sessione H \\u2014 OpenTimestamps weekly anchor\"}"},"zk_mode":"clear","zk_proof":null},"ledger":{"leaf_hash":"aea6dcb02f4a54995b4aff8f45e8c68e2d5be2b6b7320f9d06035f9156e854a7","leaf_index":111231,"ledger_path":"/opt/crovia/substrate/axiom_ledger.jsonl"},"merkle_proof":{"hash_alg":"sha256","leaf_prefix":"0x00","node_prefix":"0x01","odd_leaf_rule":"duplicate_last","path":[{"sibling":"6f2ad9e245d625d044656e3d9130ac8bb67a595a63844650dc3f04adee01f872","side":"left"},{"sibling":"7cc98fab28a1cf9835b0db445abbb9bf87e61d3f54b2ca5681f8df21363fcf2e","side":"left"},{"sibling":"22e4f26cbdf7e6fe24f3bd8cf493ccfd7b3ca9a40803d09e670992c3f2da571c","side":"left"},{"sibling":"2c60283db9825803b4a72d75b978941403783ac3408fe79764e2c3425701ec76","side":"left"},{"sibling":"da2e7a9c5214c2cce82f7ac879a5b34833f14d6ffdc4fbb3b76d1a01620f4dc0","side":"left"},{"sibling":"72a2a397e88c2053a326741743d517233f6ec9c29ae6626d562f2f8256fe98e3","side":"left"},{"sibling":"bb1491a85bff76cc366809b74bcbf9a2e4eec56792fb2d4457321fef30eaeec5","side":"left"},{"sibling":"7d8f77541f5ee1411f0115d4386981046cee48949752db8e316e33e8cfdd8062","side":"right"},{"sibling":"22664c4c4d36711e4d6d3caff9b8d78ad50645790ab4228b865f88ccc73b9804","side":"right"},{"sibling":"1e7f05cd06e20834fa02b399bd87f68b112d4974bb4065ba7a9f0541a6410670","side":"left"},{"sibling":"7322dcde9f6dec40cc973ca12dd1ebd16fe5aecf078317f5e57c51a436730eb5","side":"right"},{"sibling":"a6d6e5bc888edc394757fbba02b675bac6ad0831e36a6f5ebbaa4e5548f25603","side":"right"},{"sibling":"76d7c4385d71ae8104107105be66eddb792e01ed6e493db5a9b4eec5441abb76","side":"left"},{"sibling":"b03f005860bf95148ea89c703a32ca19ab7a2ca71b58bb628ff94a9edb8703b0","side":"left"},{"sibling":"21d1e30b556f553dc939fddc23e6367f0a7755ebe3dd489dc0001cef017beb7f","side":"right"},{"sibling":"f2817ab288b5324fe49770372c7a10f33f7cd11005f8d4c0a730316f5229dc98","side":"left"},{"sibling":"725fac972e772ca0dc598810ea1abc70df472f72d2d6ab8a0baee2b80e5d2f4c","side":"left"},{"sibling":"98fc57dfef8873b512edc8340f7181df57302bb96777625e072235c62d7c5895","side":"right"}]},"schema":"crovia.axiom_proof.v1","seal":{"first_collector_run_id":"","first_receipt_hash":"","jsonl_path":"/opt/crovia/substrate/axiom_ledger.jsonl","key_id":"430895f101d38164","last_collector_run_id":"","last_receipt_hash":"","leaf_count":134292,"merkle_root":"77fc9c28fae777b81da5b495b3115474df6592dfac590333213d3bdf8b94a9b3","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","run_id":"hourly_json_retrofit_20260515T023701Z","schema":"crovia.seal.v1","seal_family_version":"crovia-seal-family/1","seal_kind":"substrate_batch","sealed_at":"2026-05-15T02:37:25Z","sig_algorithm":"ed25519","signature":"68107a834b00b24f5d4501e5ec727445311f132a486567ecc4c72a4e6dff24c8c21f2de3105293353ba5fdbe370d032819af6aa70f694e2e39b6af6737507009","signer_version":"1.1.0"},"trust_root":{"key_id":"430895f101d38164","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","signature_algorithm":"ed25519","url":"/registry/canon/TRUST_ROOT.md"},"verifier":{"spec":"/registry/canon/AXIOM_RECEIPT_v1.md","url":"/v/axm_a51f8fa3c4211ea5f04f9f84d5f7ab481e0a99eac78b73e930becbca5673dc90"}}