{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3I54KFMZVI5FJQ32BMWMKZKTPX","short_pith_number":"pith:3I54KFMZ","canonical_record":{"source":{"id":"2605.28678","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T16:11:10Z","cross_cats_sorted":[],"title_canon_sha256":"3083a9129c713f7db994d7619521eafe9f62f248cb07b56e3b5516337a57c4cd","abstract_canon_sha256":"595e3eb1be5f31d6ebc57f0ce096373c170d4fe63b9583522f6f8a7cdda2fda5"},"schema_version":"1.0"},"canonical_sha256":"da3bc51599aa3a54c37a0b2cc565537dce05b1f2d12a72bc86237b08aef90286","source":{"kind":"arxiv","id":"2605.28678","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28678","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28678v1","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28678","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"3I54KFMZVI5F","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"3I54KFMZVI5FJQ32","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"3I54KFMZ","created_at":"2026-05-28T02:04:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3I54KFMZVI5FJQ32BMWMKZKTPX","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28678","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T16:11:10Z","cross_cats_sorted":[],"title_canon_sha256":"3083a9129c713f7db994d7619521eafe9f62f248cb07b56e3b5516337a57c4cd","abstract_canon_sha256":"595e3eb1be5f31d6ebc57f0ce096373c170d4fe63b9583522f6f8a7cdda2fda5"},"schema_version":"1.0"},"canonical_sha256":"da3bc51599aa3a54c37a0b2cc565537dce05b1f2d12a72bc86237b08aef90286","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T02:04:59.643451Z","signature_b64":"B9sT6twtFr1S2Ie71N1Q/zh3EKFRZvPRLayS0NdSu4Id1x6BTVbDvfmzht0ZtMjd5BYZfpUCbI713OWDpao1BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da3bc51599aa3a54c37a0b2cc565537dce05b1f2d12a72bc86237b08aef90286","last_reissued_at":"2026-05-28T02:04:59.643028Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T02:04:59.643028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28678","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":"2026-05-28T02:04:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g4UeaLJPukcJZjlNKj2F8JM0mIsj/p+tZwyZxmLQQjig4UH29QraG+18ih/3b25iH5gtuh7yeEeVU/Z1JS4TAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:15:52.537367Z"},"content_sha256":"e1336bcad8b983854e819b3cfa70dfcd477a1334ee977cbeb6e7cc4db9fb2161","schema_version":"1.0","event_id":"sha256:e1336bcad8b983854e819b3cfa70dfcd477a1334ee977cbeb6e7cc4db9fb2161"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3I54KFMZVI5FJQ32BMWMKZKTPX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bo Bao, Eric Sather, Sai Qian Zhang, Tianhua Xia, Vithursan Thangarasa, Xiangyang Yin, Yunhai Hu, Zining Liu","submitted_at":"2026-05-27T16:11:10Z","abstract_excerpt":"Speculative reasoning has recently been proposed as a means to accelerate reasoning-intensive generation in large multimodal models, but its effectiveness is often constrained by misalignment between speculative drafts and target-verified reasoning. In this work, we introduce DREAM-R, a framework that substantially improves the performance of speculative reasoning. At its core, DREAM-R employs Speculative Alignment Policy Optimization (SAPO), a reinforcement-learning objective that trains draft models to generate reasoning steps that are both faithful to target trajectories and concise. We fur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28678","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/2605.28678/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":"2026-05-28T02:04:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WDPa6PpVwwklUj3x8ndFqUCwS0vWjwN90p2JPImk0mESTJY2Gsi1eDFnktetmjQX8T033fYX2EqdRjfWl5KwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:15:52.537750Z"},"content_sha256":"9f371255f55af256128760d27bbc32b072a08700e5bc16a77961b8ca0d3a39ca","schema_version":"1.0","event_id":"sha256:9f371255f55af256128760d27bbc32b072a08700e5bc16a77961b8ca0d3a39ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3I54KFMZVI5FJQ32BMWMKZKTPX/bundle.json","state_url":"https://pith.science/pith/3I54KFMZVI5FJQ32BMWMKZKTPX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3I54KFMZVI5FJQ32BMWMKZKTPX/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":"2026-06-03T08:15:52Z","links":{"resolver":"https://pith.science/pith/3I54KFMZVI5FJQ32BMWMKZKTPX","bundle":"https://pith.science/pith/3I54KFMZVI5FJQ32BMWMKZKTPX/bundle.json","state":"https://pith.science/pith/3I54KFMZVI5FJQ32BMWMKZKTPX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3I54KFMZVI5FJQ32BMWMKZKTPX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3I54KFMZVI5FJQ32BMWMKZKTPX","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":"595e3eb1be5f31d6ebc57f0ce096373c170d4fe63b9583522f6f8a7cdda2fda5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T16:11:10Z","title_canon_sha256":"3083a9129c713f7db994d7619521eafe9f62f248cb07b56e3b5516337a57c4cd"},"schema_version":"1.0","source":{"id":"2605.28678","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28678","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28678v1","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28678","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"pith_short_12","alias_value":"3I54KFMZVI5F","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"pith_short_16","alias_value":"3I54KFMZVI5FJQ32","created_at":"2026-05-28T02:04:59Z"},{"alias_kind":"pith_short_8","alias_value":"3I54KFMZ","created_at":"2026-05-28T02:04:59Z"}],"graph_snapshots":[{"event_id":"sha256:9f371255f55af256128760d27bbc32b072a08700e5bc16a77961b8ca0d3a39ca","target":"graph","created_at":"2026-05-28T02:04:59Z","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/2605.28678/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speculative reasoning has recently been proposed as a means to accelerate reasoning-intensive generation in large multimodal models, but its effectiveness is often constrained by misalignment between speculative drafts and target-verified reasoning. In this work, we introduce DREAM-R, a framework that substantially improves the performance of speculative reasoning. At its core, DREAM-R employs Speculative Alignment Policy Optimization (SAPO), a reinforcement-learning objective that trains draft models to generate reasoning steps that are both faithful to target trajectories and concise. We fur","authors_text":"Bo Bao, Eric Sather, Sai Qian Zhang, Tianhua Xia, Vithursan Thangarasa, Xiangyang Yin, Yunhai Hu, Zining Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T16:11:10Z","title":"DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28678","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:e1336bcad8b983854e819b3cfa70dfcd477a1334ee977cbeb6e7cc4db9fb2161","target":"record","created_at":"2026-05-28T02:04:59Z","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":"595e3eb1be5f31d6ebc57f0ce096373c170d4fe63b9583522f6f8a7cdda2fda5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-27T16:11:10Z","title_canon_sha256":"3083a9129c713f7db994d7619521eafe9f62f248cb07b56e3b5516337a57c4cd"},"schema_version":"1.0","source":{"id":"2605.28678","kind":"arxiv","version":1}},"canonical_sha256":"da3bc51599aa3a54c37a0b2cc565537dce05b1f2d12a72bc86237b08aef90286","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da3bc51599aa3a54c37a0b2cc565537dce05b1f2d12a72bc86237b08aef90286","first_computed_at":"2026-05-28T02:04:59.643028Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T02:04:59.643028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B9sT6twtFr1S2Ie71N1Q/zh3EKFRZvPRLayS0NdSu4Id1x6BTVbDvfmzht0ZtMjd5BYZfpUCbI713OWDpao1BA==","signature_status":"signed_v1","signed_at":"2026-05-28T02:04:59.643451Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28678","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1336bcad8b983854e819b3cfa70dfcd477a1334ee977cbeb6e7cc4db9fb2161","sha256:9f371255f55af256128760d27bbc32b072a08700e5bc16a77961b8ca0d3a39ca"],"state_sha256":"7c4e1cd06a36fd26b89906214238c8879f14cd061496a69d4a7538bb86496305"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ozTteJzX/pciPb0bCnRc/mmkf6bzwtMGTeRLs9VouR1uF8axDfuRv35h5yj/ekb1GEigIS+2sAWu6OvV/U2OCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T08:15:52.540181Z","bundle_sha256":"54807c03ba52edb531eb4146f86502471b9c8502bdaa1c6c3fab3dae7446d1ff"}}