{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:62BIAXUTEXEFQ7X23FHBAIZAW5","short_pith_number":"pith:62BIAXUT","canonical_record":{"source":{"id":"2608.09133","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T05:24:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a85f38f783c19a905623df80b896e81ed044a3f545185eee859f901c046c617d","abstract_canon_sha256":"e96b2905c85465969e00bdf3e591a125e736ff7d71418375d0ebf095109ae514"},"schema_version":"1.0"},"canonical_sha256":"f682805e9325c8587efad94e102320b762cf9f37aff351947556a3aa950b1b45","source":{"kind":"arxiv","id":"2608.09133","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09133","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09133v1","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09133","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"pith_short_12","alias_value":"62BIAXUTEXEF","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"pith_short_16","alias_value":"62BIAXUTEXEFQ7X2","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"pith_short_8","alias_value":"62BIAXUT","created_at":"2026-08-11T02:21:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:62BIAXUTEXEFQ7X23FHBAIZAW5","target":"record","payload":{"canonical_record":{"source":{"id":"2608.09133","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T05:24:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a85f38f783c19a905623df80b896e81ed044a3f545185eee859f901c046c617d","abstract_canon_sha256":"e96b2905c85465969e00bdf3e591a125e736ff7d71418375d0ebf095109ae514"},"schema_version":"1.0"},"canonical_sha256":"f682805e9325c8587efad94e102320b762cf9f37aff351947556a3aa950b1b45","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T02:21:52.707979Z","signature_b64":"MbkJDmCud6WkRQ4WC0MQSJRwp2XbuN6JeVd4OCm7utMHviLEpuN7ingj2C7+xo/I+4ABbzYYUhmK6PY9aIFlCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f682805e9325c8587efad94e102320b762cf9f37aff351947556a3aa950b1b45","last_reissued_at":"2026-08-11T02:21:52.706491Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T02:21:52.706491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.09133","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":"2026-08-11T02:21:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fwecM7ESMJ9Tz3p+47uIFi+8uiONOYRuZf+TfxLzm58Mdc/E4M9nu+a68BZkOzJPvA1SDU4/sL+0RNnPsFKzBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T16:42:41.991910Z"},"content_sha256":"c6f6c2aa7d8b24489023a3893648a337197215b61320fcc3c9ad2cb07ed8301f","schema_version":"1.0","event_id":"sha256:c6f6c2aa7d8b24489023a3893648a337197215b61320fcc3c9ad2cb07ed8301f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:62BIAXUTEXEFQ7X23FHBAIZAW5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Yu Shi, Yu-Wing Tai, Yuyao Zhang","submitted_at":"2026-08-10T05:24:39Z","abstract_excerpt":"Image super-resolution (SR) with large generative models has recently achieved remarkable perceptual quality, yet maintaining fidelity to the LR observation remains challenging. In particular, we observe that diffusion transformers (DiTs) built on latent representations suffer from a critical limitation: the compression bottleneck of the VAE weakens fine-grained spatial information, leading to hallucinated details that are weakly grounded in the input image. In this work, we revisit generative SR from a representation perspective and propose a pixel-grounded super-resolution (PGSR) framework t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09133","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/2608.09133/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":"2026-08-11T02:21:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BZVZGoK8idCJCPz0VhoG6DPONJAiHULhc1jhzoRgym8M1lAkrsTETGkDut0NGT5T7xgJtGaJAB7rmG9ctGI7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T16:42:41.992418Z"},"content_sha256":"c86aecab57ba1a5748540c830730ea66c0f7f5a52e1fa6c46522ec6b0207810b","schema_version":"1.0","event_id":"sha256:c86aecab57ba1a5748540c830730ea66c0f7f5a52e1fa6c46522ec6b0207810b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/62BIAXUTEXEFQ7X23FHBAIZAW5/bundle.json","state_url":"https://pith.science/pith/62BIAXUTEXEFQ7X23FHBAIZAW5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/62BIAXUTEXEFQ7X23FHBAIZAW5/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":"2026-08-12T16:42:41Z","links":{"resolver":"https://pith.science/pith/62BIAXUTEXEFQ7X23FHBAIZAW5","bundle":"https://pith.science/pith/62BIAXUTEXEFQ7X23FHBAIZAW5/bundle.json","state":"https://pith.science/pith/62BIAXUTEXEFQ7X23FHBAIZAW5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/62BIAXUTEXEFQ7X23FHBAIZAW5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:62BIAXUTEXEFQ7X23FHBAIZAW5","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":"e96b2905c85465969e00bdf3e591a125e736ff7d71418375d0ebf095109ae514","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T05:24:39Z","title_canon_sha256":"a85f38f783c19a905623df80b896e81ed044a3f545185eee859f901c046c617d"},"schema_version":"1.0","source":{"id":"2608.09133","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09133","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09133v1","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09133","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"pith_short_12","alias_value":"62BIAXUTEXEF","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"pith_short_16","alias_value":"62BIAXUTEXEFQ7X2","created_at":"2026-08-11T02:21:52Z"},{"alias_kind":"pith_short_8","alias_value":"62BIAXUT","created_at":"2026-08-11T02:21:52Z"}],"graph_snapshots":[{"event_id":"sha256:c86aecab57ba1a5748540c830730ea66c0f7f5a52e1fa6c46522ec6b0207810b","target":"graph","created_at":"2026-08-11T02:21:52Z","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/2608.09133/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image super-resolution (SR) with large generative models has recently achieved remarkable perceptual quality, yet maintaining fidelity to the LR observation remains challenging. In particular, we observe that diffusion transformers (DiTs) built on latent representations suffer from a critical limitation: the compression bottleneck of the VAE weakens fine-grained spatial information, leading to hallucinated details that are weakly grounded in the input image. In this work, we revisit generative SR from a representation perspective and propose a pixel-grounded super-resolution (PGSR) framework t","authors_text":"Yu Shi, Yu-Wing Tai, Yuyao Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T05:24:39Z","title":"When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09133","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:c6f6c2aa7d8b24489023a3893648a337197215b61320fcc3c9ad2cb07ed8301f","target":"record","created_at":"2026-08-11T02:21:52Z","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":"e96b2905c85465969e00bdf3e591a125e736ff7d71418375d0ebf095109ae514","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T05:24:39Z","title_canon_sha256":"a85f38f783c19a905623df80b896e81ed044a3f545185eee859f901c046c617d"},"schema_version":"1.0","source":{"id":"2608.09133","kind":"arxiv","version":1}},"canonical_sha256":"f682805e9325c8587efad94e102320b762cf9f37aff351947556a3aa950b1b45","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f682805e9325c8587efad94e102320b762cf9f37aff351947556a3aa950b1b45","first_computed_at":"2026-08-11T02:21:52.706491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T02:21:52.706491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MbkJDmCud6WkRQ4WC0MQSJRwp2XbuN6JeVd4OCm7utMHviLEpuN7ingj2C7+xo/I+4ABbzYYUhmK6PY9aIFlCA==","signature_status":"signed_v1","signed_at":"2026-08-11T02:21:52.707979Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.09133","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6f6c2aa7d8b24489023a3893648a337197215b61320fcc3c9ad2cb07ed8301f","sha256:c86aecab57ba1a5748540c830730ea66c0f7f5a52e1fa6c46522ec6b0207810b"],"state_sha256":"05bea6a72af5b792988e5f18a9544dc40be3d29bdaaf302dc2cb82a2365fe798"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EDyb7rFs4WhdghbB8e8WoVFUh9FwckUU5gAUMwfUn/0uc7aq6iF0kYcQxdHUklcPkO5piP57J6k5Lhy63gVYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T16:42:41.997064Z","bundle_sha256":"5775b7599bca719adf04eb0600c5d5036b6aea4231df3c0d56711e29214d60eb"}}