{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:46Q6NTKZIPGLOSRKRGAKKQELBK","short_pith_number":"pith:46Q6NTKZ","canonical_record":{"source":{"id":"2606.26778","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T09:12:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b8871a52b0fb8d5eee560a3ac54cd8a9c3a81b7b9234771a08b5b973378fba22","abstract_canon_sha256":"13e6c91ab2e5211bcca8c2853247fe2c5fff384b4915d8a373b6aa416c3c36cb"},"schema_version":"1.0"},"canonical_sha256":"e7a1e6cd5943ccb74a2a8980a5408b0a8880233abb7bdce8358cdba93347a3ff","source":{"kind":"arxiv","id":"2606.26778","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.26778","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"arxiv_version","alias_value":"2606.26778v1","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26778","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"pith_short_12","alias_value":"46Q6NTKZIPGL","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"pith_short_16","alias_value":"46Q6NTKZIPGLOSRK","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"pith_short_8","alias_value":"46Q6NTKZ","created_at":"2026-06-26T01:15:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:46Q6NTKZIPGLOSRKRGAKKQELBK","target":"record","payload":{"canonical_record":{"source":{"id":"2606.26778","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T09:12:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b8871a52b0fb8d5eee560a3ac54cd8a9c3a81b7b9234771a08b5b973378fba22","abstract_canon_sha256":"13e6c91ab2e5211bcca8c2853247fe2c5fff384b4915d8a373b6aa416c3c36cb"},"schema_version":"1.0"},"canonical_sha256":"e7a1e6cd5943ccb74a2a8980a5408b0a8880233abb7bdce8358cdba93347a3ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T01:15:59.485599Z","signature_b64":"nHZPiT4zbxMvCn8R8S+6BghgtTY1zTMunbro6pqoRZaKcV8apX6DicM/JdoJXITUGz7cJqopZh5WyBJHsWDOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7a1e6cd5943ccb74a2a8980a5408b0a8880233abb7bdce8358cdba93347a3ff","last_reissued_at":"2026-06-26T01:15:59.485202Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T01:15:59.485202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.26778","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":"2026-06-26T01:15:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9aPSA+hXyzGkZloZMKChOqHZu3jjhEo+uzwayXSB1XzwSRwAvzj6B9VckriI6HjwX0DNAfFdNuL0x1zY/Jf2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T06:03:29.801767Z"},"content_sha256":"a59b79de2c83f8546a4bfc2a32bbc3ee4366fe822c45d2075747eb972a78a4b1","schema_version":"1.0","event_id":"sha256:a59b79de2c83f8546a4bfc2a32bbc3ee4366fe822c45d2075747eb972a78a4b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:46Q6NTKZIPGLOSRKRGAKKQELBK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Wang Shen, Xiao-Ping Zhang, Xuyue Huang, Zhe Chen","submitted_at":"2026-06-25T09:12:51Z","abstract_excerpt":"Diffusion Transformers (DiTs) have driven substantial progress in image and video generation but suffer from prohibitive computational costs. Feature caching accelerates inference by reusing intermediate representations. Existing methods rely on historical features for implementation simplicity, yet suffer from severe error accumulation at high acceleration ratios. To address this limitation, we investigate the nature of the requisite feature correction. We demonstrate that the optimal calibration update is characterized by a shared low-rank subspace across diverse prompts. Guided by this stru"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26778","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/2606.26778/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":"2026-06-26T01:15:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ksOLokMseUtzsptb1W3LCFXCbtxlfZkGBuaK5aYJhNAYYGMrGo8ejoiKQQG9n/1Mt6M7pWWp6IACpoNYGRABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T06:03:29.802145Z"},"content_sha256":"0a97d209d2bfbbc0374f7045547b6b525a0a27f3a07328d5b42c7f5da115aee7","schema_version":"1.0","event_id":"sha256:0a97d209d2bfbbc0374f7045547b6b525a0a27f3a07328d5b42c7f5da115aee7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/46Q6NTKZIPGLOSRKRGAKKQELBK/bundle.json","state_url":"https://pith.science/pith/46Q6NTKZIPGLOSRKRGAKKQELBK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/46Q6NTKZIPGLOSRKRGAKKQELBK/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":"2026-06-28T06:03:29Z","links":{"resolver":"https://pith.science/pith/46Q6NTKZIPGLOSRKRGAKKQELBK","bundle":"https://pith.science/pith/46Q6NTKZIPGLOSRKRGAKKQELBK/bundle.json","state":"https://pith.science/pith/46Q6NTKZIPGLOSRKRGAKKQELBK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/46Q6NTKZIPGLOSRKRGAKKQELBK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:46Q6NTKZIPGLOSRKRGAKKQELBK","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":"13e6c91ab2e5211bcca8c2853247fe2c5fff384b4915d8a373b6aa416c3c36cb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T09:12:51Z","title_canon_sha256":"b8871a52b0fb8d5eee560a3ac54cd8a9c3a81b7b9234771a08b5b973378fba22"},"schema_version":"1.0","source":{"id":"2606.26778","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.26778","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"arxiv_version","alias_value":"2606.26778v1","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26778","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"pith_short_12","alias_value":"46Q6NTKZIPGL","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"pith_short_16","alias_value":"46Q6NTKZIPGLOSRK","created_at":"2026-06-26T01:15:59Z"},{"alias_kind":"pith_short_8","alias_value":"46Q6NTKZ","created_at":"2026-06-26T01:15:59Z"}],"graph_snapshots":[{"event_id":"sha256:0a97d209d2bfbbc0374f7045547b6b525a0a27f3a07328d5b42c7f5da115aee7","target":"graph","created_at":"2026-06-26T01:15:59Z","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/2606.26778/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Transformers (DiTs) have driven substantial progress in image and video generation but suffer from prohibitive computational costs. Feature caching accelerates inference by reusing intermediate representations. Existing methods rely on historical features for implementation simplicity, yet suffer from severe error accumulation at high acceleration ratios. To address this limitation, we investigate the nature of the requisite feature correction. We demonstrate that the optimal calibration update is characterized by a shared low-rank subspace across diverse prompts. Guided by this stru","authors_text":"Wang Shen, Xiao-Ping Zhang, Xuyue Huang, Zhe Chen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T09:12:51Z","title":"LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26778","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:a59b79de2c83f8546a4bfc2a32bbc3ee4366fe822c45d2075747eb972a78a4b1","target":"record","created_at":"2026-06-26T01:15:59Z","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":"13e6c91ab2e5211bcca8c2853247fe2c5fff384b4915d8a373b6aa416c3c36cb","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T09:12:51Z","title_canon_sha256":"b8871a52b0fb8d5eee560a3ac54cd8a9c3a81b7b9234771a08b5b973378fba22"},"schema_version":"1.0","source":{"id":"2606.26778","kind":"arxiv","version":1}},"canonical_sha256":"e7a1e6cd5943ccb74a2a8980a5408b0a8880233abb7bdce8358cdba93347a3ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7a1e6cd5943ccb74a2a8980a5408b0a8880233abb7bdce8358cdba93347a3ff","first_computed_at":"2026-06-26T01:15:59.485202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:59.485202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nHZPiT4zbxMvCn8R8S+6BghgtTY1zTMunbro6pqoRZaKcV8apX6DicM/JdoJXITUGz7cJqopZh5WyBJHsWDOAA==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:59.485599Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.26778","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a59b79de2c83f8546a4bfc2a32bbc3ee4366fe822c45d2075747eb972a78a4b1","sha256:0a97d209d2bfbbc0374f7045547b6b525a0a27f3a07328d5b42c7f5da115aee7"],"state_sha256":"4740c5753dabc849c33acad7baaa5889a451341db4a3c04a8fa06510794d2459"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8VF48RKR2xW3OvTEXemY8sK3p2D4AXYOxTdGcyg268jFhiWBHN/DQAfZ7bwjNMxO6Fys5c7pl4oMabnQ2f1XDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T06:03:29.804075Z","bundle_sha256":"9b51faa924b8b21a2a749d438596b6461ae11df87e74e0b1e8f1ede6e769ecc5"}}