{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OEFI7ZLY5QGEPTBT36JXZYD3S6","short_pith_number":"pith:OEFI7ZLY","canonical_record":{"source":{"id":"2605.14891","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:35:51Z","cross_cats_sorted":[],"title_canon_sha256":"4acb04a476a9a535ee0b26b64e0f77d828b5a490dd66fb6caf16c7006994b448","abstract_canon_sha256":"30145da2603db1834e02a710efc48500c6c62ebbbfc6d51b0b518f3d1c5679ec"},"schema_version":"1.0"},"canonical_sha256":"710a8fe578ec0c47cc33df937ce07b978c9830e4655d9ad3ed68242da1fb209d","source":{"kind":"arxiv","id":"2605.14891","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14891","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14891v1","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14891","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"OEFI7ZLY5QGE","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"OEFI7ZLY5QGEPTBT","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"OEFI7ZLY","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OEFI7ZLY5QGEPTBT36JXZYD3S6","target":"record","payload":{"canonical_record":{"source":{"id":"2605.14891","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:35:51Z","cross_cats_sorted":[],"title_canon_sha256":"4acb04a476a9a535ee0b26b64e0f77d828b5a490dd66fb6caf16c7006994b448","abstract_canon_sha256":"30145da2603db1834e02a710efc48500c6c62ebbbfc6d51b0b518f3d1c5679ec"},"schema_version":"1.0"},"canonical_sha256":"710a8fe578ec0c47cc33df937ce07b978c9830e4655d9ad3ed68242da1fb209d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:38:55.944818Z","signature_b64":"oK74PFqJRcLsW8YQUSuWzou2F9+omujn/dNpuGs5LiSWTm6VZ14VP/m01FoEYmXG/mzQQbZP8zu5/6IvPRJpDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"710a8fe578ec0c47cc33df937ce07b978c9830e4655d9ad3ed68242da1fb209d","last_reissued_at":"2026-05-17T23:38:55.944091Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:38:55.944091Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.14891","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":"2026-05-17T23:38:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v/Ag0xrtNNTFWWeDb660hZpbnhjllInmYuxy9quNy2TRVOWQqHb6fJyWLR8msHFT04w3qWoWpzqXYU05pDvWCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T22:23:16.224694Z"},"content_sha256":"3897a06eed8b2f40cb8dd78fdb9f020907c1b366be25b0c710b4a13f7d47ce04","schema_version":"1.0","event_id":"sha256:3897a06eed8b2f40cb8dd78fdb9f020907c1b366be25b0c710b4a13f7d47ce04"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OEFI7ZLY5QGEPTBT36JXZYD3S6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Image Tokenization for Multi-Scale Image Super Resolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adrian Bulat, Brais Martinez, Enrique Sanchez, Georgios Tzimiropoulos, Isma Hadji","submitted_at":"2026-05-14T14:35:51Z","abstract_excerpt":"We introduce a multi-scale Image Super Resolution (ISR) method building on recent advances in Visual Auto-Regressive (VAR) modeling. VAR models break image tokenization into additive, gradually increasing scales, using Residual Quantization (RQ), an approach that aligns perfectly with our target ISR task. Previous works taking advantage of this synergy suffer from two main shortcomings. First, due to the limitations in RQ, they only generate images at a predefined fixed scale, failing to map intermediate outputs to the corresponding image scales. They also rely on large backbones or a large co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14891","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":""},"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":"2026-05-17T23:38:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pYhaV6AHkOAXA1torCroU2l4nzsXpNNJJi1XDZGOKQhuOGIR7A++4UFBNxwBFmjBgNEQEMASdKgWMtUEC8IGDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T22:23:16.225037Z"},"content_sha256":"de0852870e3309e1902d41b8cee2ce2fa2e0b94d732d0daf91a2ea44906fa713","schema_version":"1.0","event_id":"sha256:de0852870e3309e1902d41b8cee2ce2fa2e0b94d732d0daf91a2ea44906fa713"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6/bundle.json","state_url":"https://pith.science/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6/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":"2026-07-01T22:23:16Z","links":{"resolver":"https://pith.science/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6","bundle":"https://pith.science/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6/bundle.json","state":"https://pith.science/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OEFI7ZLY5QGEPTBT36JXZYD3S6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OEFI7ZLY5QGEPTBT36JXZYD3S6","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":"30145da2603db1834e02a710efc48500c6c62ebbbfc6d51b0b518f3d1c5679ec","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:35:51Z","title_canon_sha256":"4acb04a476a9a535ee0b26b64e0f77d828b5a490dd66fb6caf16c7006994b448"},"schema_version":"1.0","source":{"id":"2605.14891","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14891","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14891v1","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14891","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"OEFI7ZLY5QGE","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"OEFI7ZLY5QGEPTBT","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"OEFI7ZLY","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:de0852870e3309e1902d41b8cee2ce2fa2e0b94d732d0daf91a2ea44906fa713","target":"graph","created_at":"2026-05-17T23:38:55Z","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"},"paper":{"abstract_excerpt":"We introduce a multi-scale Image Super Resolution (ISR) method building on recent advances in Visual Auto-Regressive (VAR) modeling. VAR models break image tokenization into additive, gradually increasing scales, using Residual Quantization (RQ), an approach that aligns perfectly with our target ISR task. Previous works taking advantage of this synergy suffer from two main shortcomings. First, due to the limitations in RQ, they only generate images at a predefined fixed scale, failing to map intermediate outputs to the corresponding image scales. They also rely on large backbones or a large co","authors_text":"Adrian Bulat, Brais Martinez, Enrique Sanchez, Georgios Tzimiropoulos, Isma Hadji","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:35:51Z","title":"Hierarchical Image Tokenization for Multi-Scale Image Super Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14891","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":"sha256:3897a06eed8b2f40cb8dd78fdb9f020907c1b366be25b0c710b4a13f7d47ce04","target":"record","created_at":"2026-05-17T23:38:55Z","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":"30145da2603db1834e02a710efc48500c6c62ebbbfc6d51b0b518f3d1c5679ec","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:35:51Z","title_canon_sha256":"4acb04a476a9a535ee0b26b64e0f77d828b5a490dd66fb6caf16c7006994b448"},"schema_version":"1.0","source":{"id":"2605.14891","kind":"arxiv","version":1}},"canonical_sha256":"710a8fe578ec0c47cc33df937ce07b978c9830e4655d9ad3ed68242da1fb209d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"710a8fe578ec0c47cc33df937ce07b978c9830e4655d9ad3ed68242da1fb209d","first_computed_at":"2026-05-17T23:38:55.944091Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:38:55.944091Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oK74PFqJRcLsW8YQUSuWzou2F9+omujn/dNpuGs5LiSWTm6VZ14VP/m01FoEYmXG/mzQQbZP8zu5/6IvPRJpDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:38:55.944818Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14891","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3897a06eed8b2f40cb8dd78fdb9f020907c1b366be25b0c710b4a13f7d47ce04","sha256:de0852870e3309e1902d41b8cee2ce2fa2e0b94d732d0daf91a2ea44906fa713"],"state_sha256":"3f7bf39d698152dc23e817085f7da8253e980aac7fbe8e3d6953037b16e57633"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K+hjpvUmPREo3SJdSiAGfMJcMt+daKNLPSyJEGyGw+5U+HqYZHmqC6SYjfEbIzNPImY0glEghZw/AJ8kZSK0DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T22:23:16.227020Z","bundle_sha256":"9275cfdfdc086aa37432ede2b19fb79152bf2fe457d723787b7042f27c3acf61"}}