{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PZBEA2OBXFGGB5NEYNJ26BOK6I","short_pith_number":"pith:PZBEA2OB","canonical_record":{"source":{"id":"2507.06804","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LO","submitted_at":"2025-07-07T22:38:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a7286b608a1a7312c2cffc29c14231b50a0e1f6eb5e0d4a96efe2326e5d0d581","abstract_canon_sha256":"225b9f3e00e1cf822bb2397a095f46c725dcd3f68f3546ad11b0c90b6e362231"},"schema_version":"1.0"},"canonical_sha256":"7e424069c1b94c60f5a4c353af05caf20603da89b367c3c84c1bad98813e62ac","source":{"kind":"arxiv","id":"2507.06804","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06804","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06804v1","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06804","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"pith_short_12","alias_value":"PZBEA2OBXFGG","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"pith_short_16","alias_value":"PZBEA2OBXFGGB5NE","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"pith_short_8","alias_value":"PZBEA2OB","created_at":"2026-07-05T11:34:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PZBEA2OBXFGGB5NEYNJ26BOK6I","target":"record","payload":{"canonical_record":{"source":{"id":"2507.06804","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LO","submitted_at":"2025-07-07T22:38:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a7286b608a1a7312c2cffc29c14231b50a0e1f6eb5e0d4a96efe2326e5d0d581","abstract_canon_sha256":"225b9f3e00e1cf822bb2397a095f46c725dcd3f68f3546ad11b0c90b6e362231"},"schema_version":"1.0"},"canonical_sha256":"7e424069c1b94c60f5a4c353af05caf20603da89b367c3c84c1bad98813e62ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:23.293717Z","signature_b64":"w2gkaFZ5f2bZpt67qAU4OPKAYYts6bDEXjvbfB/ASAddZCHIr2RAt1YhJ9mJcp51rA4mUePW4mTSr+u9kLbCAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e424069c1b94c60f5a4c353af05caf20603da89b367c3c84c1bad98813e62ac","last_reissued_at":"2026-07-05T11:34:23.293232Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:23.293232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.06804","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":"2026-07-05T11:34:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8v1cG8a+gw1eBT/J31gNxGFLvCvx+Ovy64ZqSPYGbLOtkpHeH6QOabL/h9JvL81lKEdKUY1I8970uPIjVwFBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T22:39:37.539756Z"},"content_sha256":"a31c40b2ae5c3444bf66729c82e3aa7967f79051e09d9065472b99e1c38cbf52","schema_version":"1.0","event_id":"sha256:a31c40b2ae5c3444bf66729c82e3aa7967f79051e09d9065472b99e1c38cbf52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PZBEA2OBXFGGB5NEYNJ26BOK6I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LO","authors_text":"Dong Yu, Feng Zhang, Haitao Mi, Linfeng Song, Tao Yang, Yang Li, Zhenwen Liang","submitted_at":"2025-07-07T22:38:49Z","abstract_excerpt":"Automated Theorem Proving (ATP) in formal languages is a foundational challenge for AI. While Large Language Models (LLMs) have driven remarkable progress, a significant gap remains between their powerful informal reasoning capabilities and their weak formal proving performance. Recent studies show that the informal accuracy exceeds 80% while formal success remains below 8% on benchmarks like PutnamBench. We argue this gap persists because current state-of-the-art provers, by tightly coupling reasoning and proving, are trained with paradigms that inadvertently punish deep reasoning in favor of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06804","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/2507.06804/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":"2026-07-05T11:34:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7/zt5LBC5Nwsth7c1GhcKKWdESwbyqQMsJVZbmK5HNoSf4m7od/tNMgzrVGD2aMwv5imb/XoMo+taU/JRbFiBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T22:39:37.540651Z"},"content_sha256":"a450c087fc826e46e49bc9126edad79561da89c4c9d157c58b3a085f2062a9c6","schema_version":"1.0","event_id":"sha256:a450c087fc826e46e49bc9126edad79561da89c4c9d157c58b3a085f2062a9c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I/bundle.json","state_url":"https://pith.science/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I/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":"2026-08-04T22:39:37Z","links":{"resolver":"https://pith.science/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I","bundle":"https://pith.science/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I/bundle.json","state":"https://pith.science/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PZBEA2OBXFGGB5NEYNJ26BOK6I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PZBEA2OBXFGGB5NEYNJ26BOK6I","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":"225b9f3e00e1cf822bb2397a095f46c725dcd3f68f3546ad11b0c90b6e362231","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LO","submitted_at":"2025-07-07T22:38:49Z","title_canon_sha256":"a7286b608a1a7312c2cffc29c14231b50a0e1f6eb5e0d4a96efe2326e5d0d581"},"schema_version":"1.0","source":{"id":"2507.06804","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06804","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06804v1","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06804","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"pith_short_12","alias_value":"PZBEA2OBXFGG","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"pith_short_16","alias_value":"PZBEA2OBXFGGB5NE","created_at":"2026-07-05T11:34:23Z"},{"alias_kind":"pith_short_8","alias_value":"PZBEA2OB","created_at":"2026-07-05T11:34:23Z"}],"graph_snapshots":[{"event_id":"sha256:a450c087fc826e46e49bc9126edad79561da89c4c9d157c58b3a085f2062a9c6","target":"graph","created_at":"2026-07-05T11:34:23Z","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/2507.06804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated Theorem Proving (ATP) in formal languages is a foundational challenge for AI. While Large Language Models (LLMs) have driven remarkable progress, a significant gap remains between their powerful informal reasoning capabilities and their weak formal proving performance. Recent studies show that the informal accuracy exceeds 80% while formal success remains below 8% on benchmarks like PutnamBench. We argue this gap persists because current state-of-the-art provers, by tightly coupling reasoning and proving, are trained with paradigms that inadvertently punish deep reasoning in favor of","authors_text":"Dong Yu, Feng Zhang, Haitao Mi, Linfeng Song, Tao Yang, Yang Li, Zhenwen Liang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LO","submitted_at":"2025-07-07T22:38:49Z","title":"Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06804","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:a31c40b2ae5c3444bf66729c82e3aa7967f79051e09d9065472b99e1c38cbf52","target":"record","created_at":"2026-07-05T11:34:23Z","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":"225b9f3e00e1cf822bb2397a095f46c725dcd3f68f3546ad11b0c90b6e362231","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LO","submitted_at":"2025-07-07T22:38:49Z","title_canon_sha256":"a7286b608a1a7312c2cffc29c14231b50a0e1f6eb5e0d4a96efe2326e5d0d581"},"schema_version":"1.0","source":{"id":"2507.06804","kind":"arxiv","version":1}},"canonical_sha256":"7e424069c1b94c60f5a4c353af05caf20603da89b367c3c84c1bad98813e62ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e424069c1b94c60f5a4c353af05caf20603da89b367c3c84c1bad98813e62ac","first_computed_at":"2026-07-05T11:34:23.293232Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:23.293232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w2gkaFZ5f2bZpt67qAU4OPKAYYts6bDEXjvbfB/ASAddZCHIr2RAt1YhJ9mJcp51rA4mUePW4mTSr+u9kLbCAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:23.293717Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.06804","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a31c40b2ae5c3444bf66729c82e3aa7967f79051e09d9065472b99e1c38cbf52","sha256:a450c087fc826e46e49bc9126edad79561da89c4c9d157c58b3a085f2062a9c6"],"state_sha256":"61044ea7f87617f0785653c1bd4fcd1f84f514b5380b669aa11f82aeb7a7009b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T8F7BQL/T95R6GrWK+BE4AokqYUqouqGdaWR5HUW2USMYBHHmqPXPURU9Cddfy1MwDfDL8Bzvy/3eN3j5w8ZDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T22:39:37.583413Z","bundle_sha256":"4f8c75658e1d74c4a51046f78ba7a818183c3840a33c0a0cceb48577165816f0"}}