{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:23WZER32ERCA6C2AW3QGF75RTZ","short_pith_number":"pith:23WZER32","canonical_record":{"source":{"id":"2608.07948","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T06:23:48Z","cross_cats_sorted":[],"title_canon_sha256":"33d471f1714b618c48ac5b0f405dadd9ff5efce7b0bb7bd64c291ba264a4a99f","abstract_canon_sha256":"172879e3dde70f82d15bba3a6afa3f1ce33def1d02d3406dce4a2270ba642381"},"schema_version":"1.0"},"canonical_sha256":"d6ed92477a24440f0b40b6e062ffb19e6366779983dad7d1960c641f37b1d2a2","source":{"kind":"arxiv","id":"2608.07948","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07948","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07948v1","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07948","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"pith_short_12","alias_value":"23WZER32ERCA","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"pith_short_16","alias_value":"23WZER32ERCA6C2A","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"pith_short_8","alias_value":"23WZER32","created_at":"2026-08-11T01:19:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:23WZER32ERCA6C2AW3QGF75RTZ","target":"record","payload":{"canonical_record":{"source":{"id":"2608.07948","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T06:23:48Z","cross_cats_sorted":[],"title_canon_sha256":"33d471f1714b618c48ac5b0f405dadd9ff5efce7b0bb7bd64c291ba264a4a99f","abstract_canon_sha256":"172879e3dde70f82d15bba3a6afa3f1ce33def1d02d3406dce4a2270ba642381"},"schema_version":"1.0"},"canonical_sha256":"d6ed92477a24440f0b40b6e062ffb19e6366779983dad7d1960c641f37b1d2a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:19:06.001571Z","signature_b64":"ApH5mE5QewQfqVzHLfBInxGY+4wyOG8HTgeFQn49BqipZGbnPcfuXQw0b1+ue1T8kK1W98zLjjfkyMw0kjtOAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6ed92477a24440f0b40b6e062ffb19e6366779983dad7d1960c641f37b1d2a2","last_reissued_at":"2026-08-11T01:19:05.998784Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:19:05.998784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.07948","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":"2026-08-11T01:19:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dtEhUJ8lcV3E3M6cxkPa2g9U3IS0w12vm12d5Wpx3TF/ZXfl2k/uwKSN8lcpfl7FGV1bGigSghI2CGj0M2piAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:24:47.005350Z"},"content_sha256":"53fcd2d38cc8175c57089de1b948f7ca607f313a3fb72fbd2f3834c76430c19b","schema_version":"1.0","event_id":"sha256:53fcd2d38cc8175c57089de1b948f7ca607f313a3fb72fbd2f3834c76430c19b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:23WZER32ERCA6C2AW3QGF75RTZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SynVAR: Synergizing Spatial and Semantic Alignment in Visual Autoregressive Model","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jian Yang, Kepan Nan, Pengcheng Xu, Qian Wang, Tianxing Shi, Ying Tai, Zhennan Chen, Zili Yi","submitted_at":"2026-08-08T06:23:48Z","abstract_excerpt":"VAR has gained widespread popularity due to its next-scale prediction paradigm. However, it faces substantial performance bottlenecks when handling complex scenes with multiple objects and attributes. Existing diffusion-based enhancement methods fail to adequately address the unique challenge of cross-scale error propagation and accumulation in VAR. To this end, we propose SynVAR, the first training-free enhancement framework specifically tailored for the VAR paradigm, which introduces a spatial-semantic collaborative control strategy to effectively suppress propagation error and improve gener"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07948","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/2608.07948/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":"2026-08-11T01:19:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v5pYGs1mG9LBtPXbnV6yFh2y2nI+FY8scLMQoq+V7GwuaTDZmll1+EPFMyxZdqTwH54rOpK9Iu6Nf6lWgDLoAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T11:24:47.006268Z"},"content_sha256":"bd3c4396ff0a0785280704950e7689d1020748563b5612ca7eca9dd81d865782","schema_version":"1.0","event_id":"sha256:bd3c4396ff0a0785280704950e7689d1020748563b5612ca7eca9dd81d865782"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/23WZER32ERCA6C2AW3QGF75RTZ/bundle.json","state_url":"https://pith.science/pith/23WZER32ERCA6C2AW3QGF75RTZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/23WZER32ERCA6C2AW3QGF75RTZ/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":"2026-08-14T11:24:47Z","links":{"resolver":"https://pith.science/pith/23WZER32ERCA6C2AW3QGF75RTZ","bundle":"https://pith.science/pith/23WZER32ERCA6C2AW3QGF75RTZ/bundle.json","state":"https://pith.science/pith/23WZER32ERCA6C2AW3QGF75RTZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/23WZER32ERCA6C2AW3QGF75RTZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:23WZER32ERCA6C2AW3QGF75RTZ","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":"172879e3dde70f82d15bba3a6afa3f1ce33def1d02d3406dce4a2270ba642381","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T06:23:48Z","title_canon_sha256":"33d471f1714b618c48ac5b0f405dadd9ff5efce7b0bb7bd64c291ba264a4a99f"},"schema_version":"1.0","source":{"id":"2608.07948","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07948","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07948v1","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07948","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"pith_short_12","alias_value":"23WZER32ERCA","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"pith_short_16","alias_value":"23WZER32ERCA6C2A","created_at":"2026-08-11T01:19:05Z"},{"alias_kind":"pith_short_8","alias_value":"23WZER32","created_at":"2026-08-11T01:19:05Z"}],"graph_snapshots":[{"event_id":"sha256:bd3c4396ff0a0785280704950e7689d1020748563b5612ca7eca9dd81d865782","target":"graph","created_at":"2026-08-11T01:19:05Z","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/2608.07948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"VAR has gained widespread popularity due to its next-scale prediction paradigm. However, it faces substantial performance bottlenecks when handling complex scenes with multiple objects and attributes. Existing diffusion-based enhancement methods fail to adequately address the unique challenge of cross-scale error propagation and accumulation in VAR. To this end, we propose SynVAR, the first training-free enhancement framework specifically tailored for the VAR paradigm, which introduces a spatial-semantic collaborative control strategy to effectively suppress propagation error and improve gener","authors_text":"Jian Yang, Kepan Nan, Pengcheng Xu, Qian Wang, Tianxing Shi, Ying Tai, Zhennan Chen, Zili Yi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T06:23:48Z","title":"SynVAR: Synergizing Spatial and Semantic Alignment in Visual Autoregressive Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07948","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":"sha256:53fcd2d38cc8175c57089de1b948f7ca607f313a3fb72fbd2f3834c76430c19b","target":"record","created_at":"2026-08-11T01:19:05Z","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":"172879e3dde70f82d15bba3a6afa3f1ce33def1d02d3406dce4a2270ba642381","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T06:23:48Z","title_canon_sha256":"33d471f1714b618c48ac5b0f405dadd9ff5efce7b0bb7bd64c291ba264a4a99f"},"schema_version":"1.0","source":{"id":"2608.07948","kind":"arxiv","version":1}},"canonical_sha256":"d6ed92477a24440f0b40b6e062ffb19e6366779983dad7d1960c641f37b1d2a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6ed92477a24440f0b40b6e062ffb19e6366779983dad7d1960c641f37b1d2a2","first_computed_at":"2026-08-11T01:19:05.998784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:19:05.998784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ApH5mE5QewQfqVzHLfBInxGY+4wyOG8HTgeFQn49BqipZGbnPcfuXQw0b1+ue1T8kK1W98zLjjfkyMw0kjtOAw==","signature_status":"signed_v1","signed_at":"2026-08-11T01:19:06.001571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07948","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53fcd2d38cc8175c57089de1b948f7ca607f313a3fb72fbd2f3834c76430c19b","sha256:bd3c4396ff0a0785280704950e7689d1020748563b5612ca7eca9dd81d865782"],"state_sha256":"77d5c1940d18f76930f3b24651e2ba7f31b616f2b9d999a960db1a94c1d3c80f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mVkxqimca1gzO015UNsWv9yinmiDiiP1D8P0e83pO/TofyfXhLgsHAhPXy5NfHusEnIsLELy3NnSnubdFmkzAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T11:24:47.011506Z","bundle_sha256":"cbf5b01d896b438a9c76a1465711a3e4f97ff8d4ee53549dcd743811025de388"}}