{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6GRWJT5YACCEET7O63TU7KTVBV","short_pith_number":"pith:6GRWJT5Y","canonical_record":{"source":{"id":"2605.06270","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T13:45:37Z","cross_cats_sorted":[],"title_canon_sha256":"e4392de7f8550d57ae5355fcfd2f370b2d111f19fda7e6ebb29670ab8b1a43d5","abstract_canon_sha256":"bca6ad25013db74fa5f3ca07a1af9b3f14b36d4f9f5c2b1c4828dc4add42e335"},"schema_version":"1.0"},"canonical_sha256":"f1a364cfb80084424feef6e74faa750d4352b8eba4eca8562a796148763f3f21","source":{"kind":"arxiv","id":"2605.06270","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.06270","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.06270v2","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.06270","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"6GRWJT5YACCE","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"6GRWJT5YACCEET7O","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"6GRWJT5Y","created_at":"2026-05-20T01:05:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6GRWJT5YACCEET7O63TU7KTVBV","target":"record","payload":{"canonical_record":{"source":{"id":"2605.06270","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T13:45:37Z","cross_cats_sorted":[],"title_canon_sha256":"e4392de7f8550d57ae5355fcfd2f370b2d111f19fda7e6ebb29670ab8b1a43d5","abstract_canon_sha256":"bca6ad25013db74fa5f3ca07a1af9b3f14b36d4f9f5c2b1c4828dc4add42e335"},"schema_version":"1.0"},"canonical_sha256":"f1a364cfb80084424feef6e74faa750d4352b8eba4eca8562a796148763f3f21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:15.581256Z","signature_b64":"7lLNYlSwv0oWfXzbIwBPCiy6U8fSRza405m+0MtadV2wOW+LYtxgw9wrLM2YB0B+VRLhAYKAuvgBbaALQOIMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1a364cfb80084424feef6e74faa750d4352b8eba4eca8562a796148763f3f21","last_reissued_at":"2026-05-20T01:05:15.580584Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:15.580584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.06270","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T01:05:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k6Fvu40MgSduby/87BTW1sEs7txgpbMAvEmoHqC9AmWzF/LUTwKnDKIUD7iltG0cwV+FkxVEguK+VQq+ncRsAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T06:14:47.554647Z"},"content_sha256":"a27a5481a2b696514a849312a0e85f295fc5baf554161fe69d6f2c82a8331f69","schema_version":"1.0","event_id":"sha256:a27a5481a2b696514a849312a0e85f295fc5baf554161fe69d6f2c82a8331f69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6GRWJT5YACCEET7O63TU7KTVBV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spark3R: Asymmetric Token Reduction Makes Fast Feed-Forward 3D Reconstruction","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"Asymmetric compression of query versus key-value tokens speeds feed-forward 3D reconstruction up to 28 times without retraining.","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haijie Li, Jian Zhang, Jiaqi Zhang, Jiaye Fu, Qiankun Gao, Siwei Ma, Yanmin Wu, Zecheng Tang","submitted_at":"2026-05-07T13:45:37Z","abstract_excerpt":"Feed-forward 3D reconstruction models based on Vision Transformers can directly estimate scene geometry and camera poses from a small set of input images, but scaling them to video inputs with hundreds or thousands of frames remains challenging due to the quadratic cost of global attention layers. Recent token-merging methods accelerate these models by compressing the token sequence within the global attention layers, but they apply a uniform reduction to query tokens and key-value tokens, ignoring their functionally distinct roles in 3D reconstruction. In this work, we identify a key property"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Spark3R achieves up to 28× speedup on 1,000-frame inputs while maintaining competitive reconstruction quality by decoupling the compression of query tokens and key-value tokens with intra-group merging and lightweight pruning.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That query tokens encode view-specific geometric requests sensitive to compression while key-value tokens represent shared scene context tolerant to aggressive compression, and that this functional distinction generalizes across pretrained models and input sequences without retraining.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Asymmetric token reduction, with distinct merging for queries and pruning for key-values plus layer-wise adaptation, delivers up to 28x speedup on 1000-frame 3D reconstruction inputs while preserving competitive quality.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Asymmetric compression of query versus key-value tokens speeds feed-forward 3D reconstruction up to 28 times without retraining.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"1b52a6f3622165dbca41dd4b57a5e92e09236db79c62c5e425b5f200faa43aa3"},"source":{"id":"2605.06270","kind":"arxiv","version":2},"verdict":{"id":"ab2ef0a5-f0b5-477e-aaa2-f566ddaa820d","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-08T13:36:27.852912Z","strongest_claim":"Spark3R achieves up to 28× speedup on 1,000-frame inputs while maintaining competitive reconstruction quality by decoupling the compression of query tokens and key-value tokens with intra-group merging and lightweight pruning.","one_line_summary":"Asymmetric token reduction, with distinct merging for queries and pruning for key-values plus layer-wise adaptation, delivers up to 28x speedup on 1000-frame 3D reconstruction inputs while preserving competitive quality.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That query tokens encode view-specific geometric requests sensitive to compression while key-value tokens represent shared scene context tolerant to aggressive compression, and that this functional distinction generalizes across pretrained models and input sequences without retraining.","pith_extraction_headline":"Asymmetric compression of query versus key-value tokens speeds feed-forward 3D reconstruction up to 28 times without retraining."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.06270/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T18:31:19.611942Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T12:50:09.833483Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"69fa156b166f40e5eba7fa76e121be7e56b08211501b85eeb40f5a39ecdc900b"},"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":"ab2ef0a5-f0b5-477e-aaa2-f566ddaa820d"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T01:05:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZmtwpngttTUxx42+Jc0A0uuKhUa3ZyGJpX4Mb9d3bbmV0N0MmiELno2z67WSze35lnyAgbQZJbPUeZLOVj+zDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T06:14:47.555163Z"},"content_sha256":"f215487890d0f4e233face8f3b3cca529f9ffa71a513ad174842278734db59eb","schema_version":"1.0","event_id":"sha256:f215487890d0f4e233face8f3b3cca529f9ffa71a513ad174842278734db59eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6GRWJT5YACCEET7O63TU7KTVBV/bundle.json","state_url":"https://pith.science/pith/6GRWJT5YACCEET7O63TU7KTVBV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6GRWJT5YACCEET7O63TU7KTVBV/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":"2026-05-31T06:14:47Z","links":{"resolver":"https://pith.science/pith/6GRWJT5YACCEET7O63TU7KTVBV","bundle":"https://pith.science/pith/6GRWJT5YACCEET7O63TU7KTVBV/bundle.json","state":"https://pith.science/pith/6GRWJT5YACCEET7O63TU7KTVBV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6GRWJT5YACCEET7O63TU7KTVBV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6GRWJT5YACCEET7O63TU7KTVBV","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":"bca6ad25013db74fa5f3ca07a1af9b3f14b36d4f9f5c2b1c4828dc4add42e335","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T13:45:37Z","title_canon_sha256":"e4392de7f8550d57ae5355fcfd2f370b2d111f19fda7e6ebb29670ab8b1a43d5"},"schema_version":"1.0","source":{"id":"2605.06270","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.06270","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.06270v2","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.06270","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"6GRWJT5YACCE","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"6GRWJT5YACCEET7O","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"6GRWJT5Y","created_at":"2026-05-20T01:05:15Z"}],"graph_snapshots":[{"event_id":"sha256:f215487890d0f4e233face8f3b3cca529f9ffa71a513ad174842278734db59eb","target":"graph","created_at":"2026-05-20T01:05:15Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"Spark3R achieves up to 28× speedup on 1,000-frame inputs while maintaining competitive reconstruction quality by decoupling the compression of query tokens and key-value tokens with intra-group merging and lightweight pruning."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That query tokens encode view-specific geometric requests sensitive to compression while key-value tokens represent shared scene context tolerant to aggressive compression, and that this functional distinction generalizes across pretrained models and input sequences without retraining."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"Asymmetric token reduction, with distinct merging for queries and pruning for key-values plus layer-wise adaptation, delivers up to 28x speedup on 1000-frame 3D reconstruction inputs while preserving competitive quality."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Asymmetric compression of query versus key-value tokens speeds feed-forward 3D reconstruction up to 28 times without retraining."}],"snapshot_sha256":"1b52a6f3622165dbca41dd4b57a5e92e09236db79c62c5e425b5f200faa43aa3"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T18:31:19.611942Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T12:50:09.833483Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.06270/integrity.json","findings":[],"snapshot_sha256":"69fa156b166f40e5eba7fa76e121be7e56b08211501b85eeb40f5a39ecdc900b","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feed-forward 3D reconstruction models based on Vision Transformers can directly estimate scene geometry and camera poses from a small set of input images, but scaling them to video inputs with hundreds or thousands of frames remains challenging due to the quadratic cost of global attention layers. Recent token-merging methods accelerate these models by compressing the token sequence within the global attention layers, but they apply a uniform reduction to query tokens and key-value tokens, ignoring their functionally distinct roles in 3D reconstruction. In this work, we identify a key property","authors_text":"Haijie Li, Jian Zhang, Jiaqi Zhang, Jiaye Fu, Qiankun Gao, Siwei Ma, Yanmin Wu, Zecheng Tang","cross_cats":[],"headline":"Asymmetric compression of query versus key-value tokens speeds feed-forward 3D reconstruction up to 28 times without retraining.","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T13:45:37Z","title":"Spark3R: Asymmetric Token Reduction Makes Fast Feed-Forward 3D Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.06270","kind":"arxiv","version":2},"verdict":{"created_at":"2026-05-08T13:36:27.852912Z","id":"ab2ef0a5-f0b5-477e-aaa2-f566ddaa820d","model_set":{"reader":"grok-4.3"},"one_line_summary":"Asymmetric token reduction, with distinct merging for queries and pruning for key-values plus layer-wise adaptation, delivers up to 28x speedup on 1000-frame 3D reconstruction inputs while preserving competitive quality.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Asymmetric compression of query versus key-value tokens speeds feed-forward 3D reconstruction up to 28 times without retraining.","strongest_claim":"Spark3R achieves up to 28× speedup on 1,000-frame inputs while maintaining competitive reconstruction quality by decoupling the compression of query tokens and key-value tokens with intra-group merging and lightweight pruning.","weakest_assumption":"That query tokens encode view-specific geometric requests sensitive to compression while key-value tokens represent shared scene context tolerant to aggressive compression, and that this functional distinction generalizes across pretrained models and input sequences without retraining."}},"verdict_id":"ab2ef0a5-f0b5-477e-aaa2-f566ddaa820d"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a27a5481a2b696514a849312a0e85f295fc5baf554161fe69d6f2c82a8331f69","target":"record","created_at":"2026-05-20T01:05:15Z","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":"bca6ad25013db74fa5f3ca07a1af9b3f14b36d4f9f5c2b1c4828dc4add42e335","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T13:45:37Z","title_canon_sha256":"e4392de7f8550d57ae5355fcfd2f370b2d111f19fda7e6ebb29670ab8b1a43d5"},"schema_version":"1.0","source":{"id":"2605.06270","kind":"arxiv","version":2}},"canonical_sha256":"f1a364cfb80084424feef6e74faa750d4352b8eba4eca8562a796148763f3f21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1a364cfb80084424feef6e74faa750d4352b8eba4eca8562a796148763f3f21","first_computed_at":"2026-05-20T01:05:15.580584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:15.580584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7lLNYlSwv0oWfXzbIwBPCiy6U8fSRza405m+0MtadV2wOW+LYtxgw9wrLM2YB0B+VRLhAYKAuvgBbaALQOIMDg==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:15.581256Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.06270","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a27a5481a2b696514a849312a0e85f295fc5baf554161fe69d6f2c82a8331f69","sha256:f215487890d0f4e233face8f3b3cca529f9ffa71a513ad174842278734db59eb"],"state_sha256":"54214cc89a462e5b48212edd3833acca999c3b0c6d4daee943eff80e788fce01"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6M5qwxA0w3ykcHraGEUmDFNU966Qt5/w4kPdoYgX2hi7jm+AeHGHYYu3ZUhKAqiTJ+On0WANyrJ4rKex96L7Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T06:14:47.558156Z","bundle_sha256":"8d0e611598672468062ec3f8b4aaabc6ec381fdbd76b0fb1ad0d6ce1bcc135ca"}}