{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GI57ZYXZCUNITZNKYMIX2SIJKJ","short_pith_number":"pith:GI57ZYXZ","canonical_record":{"source":{"id":"2507.23268","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T06:07:20Z","cross_cats_sorted":[],"title_canon_sha256":"f24ddc0f4b2c99a09e5c7c00d9853bd8f40f1153bc67ec6917fc86818dd2ccb5","abstract_canon_sha256":"22bfcb1727f29ac4722f177eb417cbcb71aa4d6642d5a64b53a6fbe054215c8c"},"schema_version":"1.0"},"canonical_sha256":"323bfce2f9151a89e5aac3117d4909527d3603bfa0236d8525f4d4a7aafd4016","source":{"kind":"arxiv","id":"2507.23268","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23268","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23268v2","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23268","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"GI57ZYXZCUNI","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"GI57ZYXZCUNITZNK","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"GI57ZYXZ","created_at":"2026-07-05T11:47:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GI57ZYXZCUNITZNKYMIX2SIJKJ","target":"record","payload":{"canonical_record":{"source":{"id":"2507.23268","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T06:07:20Z","cross_cats_sorted":[],"title_canon_sha256":"f24ddc0f4b2c99a09e5c7c00d9853bd8f40f1153bc67ec6917fc86818dd2ccb5","abstract_canon_sha256":"22bfcb1727f29ac4722f177eb417cbcb71aa4d6642d5a64b53a6fbe054215c8c"},"schema_version":"1.0"},"canonical_sha256":"323bfce2f9151a89e5aac3117d4909527d3603bfa0236d8525f4d4a7aafd4016","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:27.680291Z","signature_b64":"zlKb4bSoI/sj4Zabvl/vwqYDiDyMjpWmeT4612ULNpCtq1Dx3hCgiQeG1m+soI1V5W3IKHf3IlUFK3+Xc1sxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"323bfce2f9151a89e5aac3117d4909527d3603bfa0236d8525f4d4a7aafd4016","last_reissued_at":"2026-07-05T11:47:27.679723Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:27.679723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.23268","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":"2026-07-05T11:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nTvGGsZpAq8wG5FANBsnrxLbHYDbz5nC9R55VRg1PyChddxF+IJV6HflZGaQerC+qsebGx07BXMuCMfMCe9uCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T02:53:14.851538Z"},"content_sha256":"c3a90d20ecf071b598639574a73099e260ae75244225d8332ee1993051fdb83f","schema_version":"1.0","event_id":"sha256:c3a90d20ecf071b598639574a73099e260ae75244225d8332ee1993051fdb83f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GI57ZYXZCUNITZNKYMIX2SIJKJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PixNerd: Pixel Neural Field Diffusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenhui Zhu, Limin Wang, Shuai Wang, Weilin Huang, Ziteng Gao","submitted_at":"2025-07-31T06:07:20Z","abstract_excerpt":"The current success of diffusion transformers heavily depends on the compressed latent space shaped by the pre-trained variational autoencoder(VAE). However, this two-stage training paradigm inevitably introduces accumulated errors and decoding artifacts. To address the aforementioned problems, researchers return to pixel space at the cost of complicated cascade pipelines and increased token complexity. In contrast to their efforts, we propose to model the patch-wise decoding with neural field and present a single-scale, single-stage, efficient, end-to-end solution, coined as pixel neural fiel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23268","kind":"arxiv","version":2},"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/2507.23268/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":"2026-07-05T11:47:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rCw48LgHFA/aOuZw7EwMe3UwdFXVHeMz61pjt7vDgylnG7QgSARQcPxsfD34PQuXq3glYpHT2x8rWwWbJqIpDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T02:53:14.851928Z"},"content_sha256":"0ba1cef17838b95d996e535a5551cc10ad1ac7ad3b2e1cbabc87685cb239fe7a","schema_version":"1.0","event_id":"sha256:0ba1cef17838b95d996e535a5551cc10ad1ac7ad3b2e1cbabc87685cb239fe7a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ/bundle.json","state_url":"https://pith.science/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ/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":"2026-08-04T02:53:14Z","links":{"resolver":"https://pith.science/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ","bundle":"https://pith.science/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ/bundle.json","state":"https://pith.science/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GI57ZYXZCUNITZNKYMIX2SIJKJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GI57ZYXZCUNITZNKYMIX2SIJKJ","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":"22bfcb1727f29ac4722f177eb417cbcb71aa4d6642d5a64b53a6fbe054215c8c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T06:07:20Z","title_canon_sha256":"f24ddc0f4b2c99a09e5c7c00d9853bd8f40f1153bc67ec6917fc86818dd2ccb5"},"schema_version":"1.0","source":{"id":"2507.23268","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23268","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23268v2","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23268","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_12","alias_value":"GI57ZYXZCUNI","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_16","alias_value":"GI57ZYXZCUNITZNK","created_at":"2026-07-05T11:47:27Z"},{"alias_kind":"pith_short_8","alias_value":"GI57ZYXZ","created_at":"2026-07-05T11:47:27Z"}],"graph_snapshots":[{"event_id":"sha256:0ba1cef17838b95d996e535a5551cc10ad1ac7ad3b2e1cbabc87685cb239fe7a","target":"graph","created_at":"2026-07-05T11:47:27Z","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/2507.23268/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The current success of diffusion transformers heavily depends on the compressed latent space shaped by the pre-trained variational autoencoder(VAE). However, this two-stage training paradigm inevitably introduces accumulated errors and decoding artifacts. To address the aforementioned problems, researchers return to pixel space at the cost of complicated cascade pipelines and increased token complexity. In contrast to their efforts, we propose to model the patch-wise decoding with neural field and present a single-scale, single-stage, efficient, end-to-end solution, coined as pixel neural fiel","authors_text":"Chenhui Zhu, Limin Wang, Shuai Wang, Weilin Huang, Ziteng Gao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T06:07:20Z","title":"PixNerd: Pixel Neural Field Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23268","kind":"arxiv","version":2},"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:c3a90d20ecf071b598639574a73099e260ae75244225d8332ee1993051fdb83f","target":"record","created_at":"2026-07-05T11:47:27Z","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":"22bfcb1727f29ac4722f177eb417cbcb71aa4d6642d5a64b53a6fbe054215c8c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T06:07:20Z","title_canon_sha256":"f24ddc0f4b2c99a09e5c7c00d9853bd8f40f1153bc67ec6917fc86818dd2ccb5"},"schema_version":"1.0","source":{"id":"2507.23268","kind":"arxiv","version":2}},"canonical_sha256":"323bfce2f9151a89e5aac3117d4909527d3603bfa0236d8525f4d4a7aafd4016","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"323bfce2f9151a89e5aac3117d4909527d3603bfa0236d8525f4d4a7aafd4016","first_computed_at":"2026-07-05T11:47:27.679723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:27.679723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zlKb4bSoI/sj4Zabvl/vwqYDiDyMjpWmeT4612ULNpCtq1Dx3hCgiQeG1m+soI1V5W3IKHf3IlUFK3+Xc1sxAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:27.680291Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23268","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3a90d20ecf071b598639574a73099e260ae75244225d8332ee1993051fdb83f","sha256:0ba1cef17838b95d996e535a5551cc10ad1ac7ad3b2e1cbabc87685cb239fe7a"],"state_sha256":"4a6e6b3c6f6f3b565cbdc4a514d9a1402e2071d6e04074f8250b970b33e70059"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9JAHY7yaCbqVo0p3Xjbg+vpXyU+dC9v/fFyhmlK2O7ftauuvvG/d+rvCKR5WmAYBm9XsbdHABTsUuV4oQipnCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T02:53:14.855048Z","bundle_sha256":"04fd6317c8df110ad4fad9f94ab4b45702ddbf13b3233c1e465319e5c643f758"}}