{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:53MY7NI7RHMK5PC7JCPSXFE4GP","short_pith_number":"pith:53MY7NI7","canonical_record":{"source":{"id":"2605.28829","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-10T06:53:27Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"2d664a2146329bfd50f43b6f1f5d345719a2c0912431c9e7ff99b5cc4f23c26c","abstract_canon_sha256":"b0900c7fa26918988793c7d0eb3c45b67188e6dd6e903d820611ef69da5964ed"},"schema_version":"1.0"},"canonical_sha256":"eed98fb51f89d8aebc5f489f2b949c33fa28a5b483e9cafdd4377e17484406c4","source":{"kind":"arxiv","id":"2605.28829","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28829","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28829v1","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28829","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"53MY7NI7RHMK","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"53MY7NI7RHMK5PC7","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"53MY7NI7","created_at":"2026-05-29T00:04:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:53MY7NI7RHMK5PC7JCPSXFE4GP","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28829","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-10T06:53:27Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"2d664a2146329bfd50f43b6f1f5d345719a2c0912431c9e7ff99b5cc4f23c26c","abstract_canon_sha256":"b0900c7fa26918988793c7d0eb3c45b67188e6dd6e903d820611ef69da5964ed"},"schema_version":"1.0"},"canonical_sha256":"eed98fb51f89d8aebc5f489f2b949c33fa28a5b483e9cafdd4377e17484406c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T00:04:13.222657Z","signature_b64":"ASEiNw0V/18K+V62NF8YlaNakiAc83CuJ2FsJMmX17G1xtv3+/Nqyr4VddjpRdTgfZUS6F9C2EIdcz0rVFm3CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eed98fb51f89d8aebc5f489f2b949c33fa28a5b483e9cafdd4377e17484406c4","last_reissued_at":"2026-05-29T00:04:13.222120Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T00:04:13.222120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28829","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":"2026-05-29T00:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"61tFWqQerwALwrgL+6x9s9+j0kY5Odr15ljsNL6VACGdSof7zIwUhlLQOt9MpMEEbQJqjPwsJya5TfL5KdoLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T09:42:26.400979Z"},"content_sha256":"dc92ceb9b7d87f5d9770228e9b08057b64b8b995cddf06fc9ee1e9a75335feb9","schema_version":"1.0","event_id":"sha256:dc92ceb9b7d87f5d9770228e9b08057b64b8b995cddf06fc9ee1e9a75335feb9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:53MY7NI7RHMK5PC7JCPSXFE4GP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aryabhata 2: Scaling Reinforcement Learning for Advanced STEM Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Ritvik Rastogi, Sandeep Varma, Tejas Chaudhari, Vishal Singh","submitted_at":"2026-04-10T06:53:27Z","abstract_excerpt":"Competitive STEM examinations such as JEE and NEET require multi-step symbolic reasoning, precise numerical computation, and deep conceptual understanding across physics, chemistry, and mathematics. Recent large language models perform strongly on common reasoning benchmarks, yet they remain difficult to deploy at scale, where millions of student doubts demand domain-specific, consistently structured problem solving.\n  We introduce Aryabhata 2, a reasoning-focused language model for competitive STEM examinations, trained via reinforcement-learning post-training. Using PhysicsWallah's internal "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28829","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/2605.28829/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":"2026-05-29T00:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IH5bhGeSlPivhgTWt95h8HO41m+tg4UAjivAUDTTzIwqU6iFuNwRAESwETEDdo2Ka3pgDiKduczv/OUAUE2mCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T09:42:26.401632Z"},"content_sha256":"1ed8b1b314054e164e9851c3fff851f1cb85b5cc06fe60db30b2541fcf491431","schema_version":"1.0","event_id":"sha256:1ed8b1b314054e164e9851c3fff851f1cb85b5cc06fe60db30b2541fcf491431"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/53MY7NI7RHMK5PC7JCPSXFE4GP/bundle.json","state_url":"https://pith.science/pith/53MY7NI7RHMK5PC7JCPSXFE4GP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/53MY7NI7RHMK5PC7JCPSXFE4GP/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":"2026-06-25T09:42:26Z","links":{"resolver":"https://pith.science/pith/53MY7NI7RHMK5PC7JCPSXFE4GP","bundle":"https://pith.science/pith/53MY7NI7RHMK5PC7JCPSXFE4GP/bundle.json","state":"https://pith.science/pith/53MY7NI7RHMK5PC7JCPSXFE4GP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/53MY7NI7RHMK5PC7JCPSXFE4GP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:53MY7NI7RHMK5PC7JCPSXFE4GP","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":"b0900c7fa26918988793c7d0eb3c45b67188e6dd6e903d820611ef69da5964ed","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-10T06:53:27Z","title_canon_sha256":"2d664a2146329bfd50f43b6f1f5d345719a2c0912431c9e7ff99b5cc4f23c26c"},"schema_version":"1.0","source":{"id":"2605.28829","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28829","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28829v1","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28829","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"53MY7NI7RHMK","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"53MY7NI7RHMK5PC7","created_at":"2026-05-29T00:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"53MY7NI7","created_at":"2026-05-29T00:04:13Z"}],"graph_snapshots":[{"event_id":"sha256:1ed8b1b314054e164e9851c3fff851f1cb85b5cc06fe60db30b2541fcf491431","target":"graph","created_at":"2026-05-29T00:04:13Z","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/2605.28829/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Competitive STEM examinations such as JEE and NEET require multi-step symbolic reasoning, precise numerical computation, and deep conceptual understanding across physics, chemistry, and mathematics. Recent large language models perform strongly on common reasoning benchmarks, yet they remain difficult to deploy at scale, where millions of student doubts demand domain-specific, consistently structured problem solving.\n  We introduce Aryabhata 2, a reasoning-focused language model for competitive STEM examinations, trained via reinforcement-learning post-training. Using PhysicsWallah's internal ","authors_text":"Ritvik Rastogi, Sandeep Varma, Tejas Chaudhari, Vishal Singh","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-10T06:53:27Z","title":"Aryabhata 2: Scaling Reinforcement Learning for Advanced STEM Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28829","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:dc92ceb9b7d87f5d9770228e9b08057b64b8b995cddf06fc9ee1e9a75335feb9","target":"record","created_at":"2026-05-29T00:04:13Z","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":"b0900c7fa26918988793c7d0eb3c45b67188e6dd6e903d820611ef69da5964ed","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-10T06:53:27Z","title_canon_sha256":"2d664a2146329bfd50f43b6f1f5d345719a2c0912431c9e7ff99b5cc4f23c26c"},"schema_version":"1.0","source":{"id":"2605.28829","kind":"arxiv","version":1}},"canonical_sha256":"eed98fb51f89d8aebc5f489f2b949c33fa28a5b483e9cafdd4377e17484406c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eed98fb51f89d8aebc5f489f2b949c33fa28a5b483e9cafdd4377e17484406c4","first_computed_at":"2026-05-29T00:04:13.222120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T00:04:13.222120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ASEiNw0V/18K+V62NF8YlaNakiAc83CuJ2FsJMmX17G1xtv3+/Nqyr4VddjpRdTgfZUS6F9C2EIdcz0rVFm3CQ==","signature_status":"signed_v1","signed_at":"2026-05-29T00:04:13.222657Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28829","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc92ceb9b7d87f5d9770228e9b08057b64b8b995cddf06fc9ee1e9a75335feb9","sha256:1ed8b1b314054e164e9851c3fff851f1cb85b5cc06fe60db30b2541fcf491431"],"state_sha256":"584cdabe5c239b6cc0fb0f2b9b958b5468806422d1f6eeb370905adb275ddc8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HKUyAL8l20uxELBFxzol7XBUnT7cOK0WZESeoL8QAoZ0Mlua1cqG/kSrhaA/9/6m0LdNKJr9aCf4EWL1QolLDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T09:42:26.404805Z","bundle_sha256":"dcd81d519fa6512424b41dfb89d0b5bb21f6138ad10b68c19b396a5441f7cf0a"}}