{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BWYUKDYCWLFAWWU5JTQXYQY5OB","short_pith_number":"pith:BWYUKDYC","canonical_record":{"source":{"id":"2605.14876","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:22:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"780812694d4328fb0796e8430867532ba5178ec381cd362ac732ad63cb9c5d3f","abstract_canon_sha256":"b3d4777c1f4af89cc8e7ba0b0b24b141e737a90ff68ebb98d1e26cb66123adc3"},"schema_version":"1.0"},"canonical_sha256":"0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782","source":{"kind":"arxiv","id":"2605.14876","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14876","created_at":"2026-05-17T23:38:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14876v1","created_at":"2026-05-17T23:38:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14876","created_at":"2026-05-17T23:38:56Z"},{"alias_kind":"pith_short_12","alias_value":"BWYUKDYCWLFA","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"BWYUKDYCWLFAWWU5","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"BWYUKDYC","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BWYUKDYCWLFAWWU5JTQXYQY5OB","target":"record","payload":{"canonical_record":{"source":{"id":"2605.14876","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:22:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"780812694d4328fb0796e8430867532ba5178ec381cd362ac732ad63cb9c5d3f","abstract_canon_sha256":"b3d4777c1f4af89cc8e7ba0b0b24b141e737a90ff68ebb98d1e26cb66123adc3"},"schema_version":"1.0"},"canonical_sha256":"0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:38:56.090898Z","signature_b64":"Y6uv1VpT1jHxAxb+6HH1LeheKaENq5UzlGZlt4P+KIN4tF+PYWlm9/vExD3judHVKne1yarE7BF4xjjywW/hDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782","last_reissued_at":"2026-05-17T23:38:56.090166Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:38:56.090166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.14876","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":"2026-05-17T23:38:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sN7x/GUZM5wZYYY/TfSJULgcNsT7PgViLAKIZUCGa5YwsxIrDHFB61Nv1+LssNBFpkKZ66suhMxTKKJU1BCKCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T02:13:31.142613Z"},"content_sha256":"3054d8d0b3faea4658c9c2fbcdadcc92fb8d339b6fcbab22400d284fcf4aa132","schema_version":"1.0","event_id":"sha256:3054d8d0b3faea4658c9c2fbcdadcc92fb8d339b6fcbab22400d284fcf4aa132"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BWYUKDYCWLFAWWU5JTQXYQY5OB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hanbo Cheng, Jun Du, Limin Lin, Ruo Zhang, Yicheng Pan","submitted_at":"2026-05-14T14:22:25Z","abstract_excerpt":"Despite rapid advancements, current text-to-image (T2I) models predominantly rely on a single-step generation paradigm, which struggles with complex semantics and faces diminishing returns from parameter scaling.\n  While recent multi-step reasoning approaches show promise, they are hindered by ungrounded planning hallucinations lacking verification, monolithic post-hoc reflection, long-context optimization instabilities, and prohibitive inference latency. To overcome these bottlenecks, we propose the Closed-Loop Visual Reasoning (CLVR) framework, a comprehensive system that deeply couples visu"},"claims":{"count":3,"items":[{"kind":"strongest_claim","text":"CLVR outperforms existing open-source baselines across multiple benchmarks and approaches the performance of proprietary commercial models, unlocking general test-time scaling capabilities for complex visual generation.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The automated data engine with step-level visual verification can reliably synthesize reasoning trajectories that are free of planning hallucinations and representative of real user prompts.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"}],"snapshot_sha256":"c470e8d3690210acc38f4f959d4f805c48cc86fc5f456d441c3cae7e3c870fba"},"source":{"id":"2605.14876","kind":"arxiv","version":1},"verdict":{"id":"5d7aa2f4-a04e-4fe4-9df5-b8dcc4a341ad","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T03:20:08.744051Z","strongest_claim":"CLVR outperforms existing open-source baselines across multiple benchmarks and approaches the performance of proprietary commercial models, unlocking general test-time scaling capabilities for complex visual generation.","one_line_summary":"CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The automated data engine with step-level visual verification can reliably synthesize reasoning trajectories that are free of planning hallucinations and representative of real user prompts.","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":"5d7aa2f4-a04e-4fe4-9df5-b8dcc4a341ad"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:38:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8tJ6O7vOrUBIMP1rZm2o6je/Up0S5rAzCBTKZxPjTmftvJLnIgZVezVEuZWwORZ2LSwQduANK6myZLexx5b6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T02:13:31.143234Z"},"content_sha256":"13f3e5a195252f25665105956a34c7f290216eb910aa805216b25d806f1fb938","schema_version":"1.0","event_id":"sha256:13f3e5a195252f25665105956a34c7f290216eb910aa805216b25d806f1fb938"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB/bundle.json","state_url":"https://pith.science/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB/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":"2026-05-25T02:13:31Z","links":{"resolver":"https://pith.science/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB","bundle":"https://pith.science/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB/bundle.json","state":"https://pith.science/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BWYUKDYCWLFAWWU5JTQXYQY5OB","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":"b3d4777c1f4af89cc8e7ba0b0b24b141e737a90ff68ebb98d1e26cb66123adc3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:22:25Z","title_canon_sha256":"780812694d4328fb0796e8430867532ba5178ec381cd362ac732ad63cb9c5d3f"},"schema_version":"1.0","source":{"id":"2605.14876","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14876","created_at":"2026-05-17T23:38:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14876v1","created_at":"2026-05-17T23:38:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14876","created_at":"2026-05-17T23:38:56Z"},{"alias_kind":"pith_short_12","alias_value":"BWYUKDYCWLFA","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"BWYUKDYCWLFAWWU5","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"BWYUKDYC","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:13f3e5a195252f25665105956a34c7f290216eb910aa805216b25d806f1fb938","target":"graph","created_at":"2026-05-17T23:38:56Z","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":3,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"CLVR outperforms existing open-source baselines across multiple benchmarks and approaches the performance of proprietary commercial models, unlocking general test-time scaling capabilities for complex visual generation."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The automated data engine with step-level visual verification can reliably synthesize reasoning trajectories that are free of planning hallucinations and representative of real user prompts."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks."}],"snapshot_sha256":"c470e8d3690210acc38f4f959d4f805c48cc86fc5f456d441c3cae7e3c870fba"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Despite rapid advancements, current text-to-image (T2I) models predominantly rely on a single-step generation paradigm, which struggles with complex semantics and faces diminishing returns from parameter scaling.\n  While recent multi-step reasoning approaches show promise, they are hindered by ungrounded planning hallucinations lacking verification, monolithic post-hoc reflection, long-context optimization instabilities, and prohibitive inference latency. To overcome these bottlenecks, we propose the Closed-Loop Visual Reasoning (CLVR) framework, a comprehensive system that deeply couples visu","authors_text":"Hanbo Cheng, Jun Du, Limin Lin, Ruo Zhang, Yicheng Pan","cross_cats":["cs.AI"],"headline":"CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:22:25Z","title":"Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14876","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-15T03:20:08.744051Z","id":"5d7aa2f4-a04e-4fe4-9df5-b8dcc4a341ad","model_set":{"reader":"grok-4.3"},"one_line_summary":"CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"","strongest_claim":"CLVR outperforms existing open-source baselines across multiple benchmarks and approaches the performance of proprietary commercial models, unlocking general test-time scaling capabilities for complex visual generation.","weakest_assumption":"The automated data engine with step-level visual verification can reliably synthesize reasoning trajectories that are free of planning hallucinations and representative of real user prompts."}},"verdict_id":"5d7aa2f4-a04e-4fe4-9df5-b8dcc4a341ad"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3054d8d0b3faea4658c9c2fbcdadcc92fb8d339b6fcbab22400d284fcf4aa132","target":"record","created_at":"2026-05-17T23:38:56Z","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":"b3d4777c1f4af89cc8e7ba0b0b24b141e737a90ff68ebb98d1e26cb66123adc3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:22:25Z","title_canon_sha256":"780812694d4328fb0796e8430867532ba5178ec381cd362ac732ad63cb9c5d3f"},"schema_version":"1.0","source":{"id":"2605.14876","kind":"arxiv","version":1}},"canonical_sha256":"0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782","first_computed_at":"2026-05-17T23:38:56.090166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:38:56.090166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y6uv1VpT1jHxAxb+6HH1LeheKaENq5UzlGZlt4P+KIN4tF+PYWlm9/vExD3judHVKne1yarE7BF4xjjywW/hDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:38:56.090898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14876","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3054d8d0b3faea4658c9c2fbcdadcc92fb8d339b6fcbab22400d284fcf4aa132","sha256:13f3e5a195252f25665105956a34c7f290216eb910aa805216b25d806f1fb938"],"state_sha256":"9aca0f000cac6070a0728d948cdd633d1a3cfa8015d0ce2bc86432f313061977"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9UGWjlAN7UGikRtiN0uK/YSL+EoYA+5Bw4lR+cO5K6ScqXLZ2HtIyYPjs/35DyhQ+3xJ8IKqJe0bg5+6ftYvAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T02:13:31.146943Z","bundle_sha256":"d37f259ed8527ca89d5c50234159571e81cfc8fb103cfdf2a43257b2c7e2ae5f"}}