{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ITF2WG63N5JEUD57MWCRGMRSFI","short_pith_number":"pith:ITF2WG63","canonical_record":{"source":{"id":"2405.17484","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T16:18:16Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e5c856be013f0b1fdd05aa7cb9da49040052be99572cbaf9618d0ebe393048ec","abstract_canon_sha256":"ed9778c0ace5320e9fe8356dd0699cd9ef00b19bbfce324289c2d5b7a32d30d3"},"schema_version":"1.0"},"canonical_sha256":"44cbab1bdb6f524a0fbf65851332322a33d397ce849ad46d22654a6f62f0aa8d","source":{"kind":"arxiv","id":"2405.17484","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17484","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17484v3","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17484","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"pith_short_12","alias_value":"ITF2WG63N5JE","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"pith_short_16","alias_value":"ITF2WG63N5JEUD57","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"pith_short_8","alias_value":"ITF2WG63","created_at":"2026-07-05T09:35:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ITF2WG63N5JEUD57MWCRGMRSFI","target":"record","payload":{"canonical_record":{"source":{"id":"2405.17484","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T16:18:16Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e5c856be013f0b1fdd05aa7cb9da49040052be99572cbaf9618d0ebe393048ec","abstract_canon_sha256":"ed9778c0ace5320e9fe8356dd0699cd9ef00b19bbfce324289c2d5b7a32d30d3"},"schema_version":"1.0"},"canonical_sha256":"44cbab1bdb6f524a0fbf65851332322a33d397ce849ad46d22654a6f62f0aa8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:49.567135Z","signature_b64":"Pubtlvm8KdvTu/W21HWooe3xeBqgqS4QAKRgAtL2xuVZvVEzEFU+rLd7BryzqF4dXqfV1+QbMF0psceVY7l+Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44cbab1bdb6f524a0fbf65851332322a33d397ce849ad46d22654a6f62f0aa8d","last_reissued_at":"2026-07-05T09:35:49.566680Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:49.566680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.17484","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fYTQCvvAKBqv/DujIG8OEZLcp7yqAInKWYQgdUG3gNuaTOdIAhAdyHghuURAmhjwL3MwHFozQS6vCABtRyFxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T06:51:33.076677Z"},"content_sha256":"44c344807ed77284bfd14e5aeef386e051b669f1bdb70fa15c712e4fa6c449db","schema_version":"1.0","event_id":"sha256:44c344807ed77284bfd14e5aeef386e051b669f1bdb70fa15c712e4fa6c449db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ITF2WG63N5JEUD57MWCRGMRSFI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Haotian Liu, Hongteng Xu, Shen Yuan","submitted_at":"2024-05-24T16:18:16Z","abstract_excerpt":"While following different technical routes, both low-rank and orthogonal adaptation techniques can efficiently adapt large-scale pre-training models in specific tasks or domains based on a small piece of trainable parameters. In this study, we bridge the gap between these two techniques, proposing a simple but effective adaptation method based on Householder reflections. Given a pre-trained model, our method fine-tunes its layers by multiplying each frozen weight matrix with an orthogonal matrix constructed by a chain of learnable Householder reflections (HRs). This HR-based orthogonal fine-tu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17484","kind":"arxiv","version":3},"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/2405.17484/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":"2026-07-05T09:35:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GmM95hCTtcYHKYUe3nNz+frpYoZtukb83g5T55AhIs4jqnB5U4cCvC4/ZDR7DSgt0sKaKzVUwSTiB1wjoD+2BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T06:51:33.077543Z"},"content_sha256":"f55b2e245ca9c42e09f3ce50ca916d5a43d811d96799ba8f9af161c7a50dd7bf","schema_version":"1.0","event_id":"sha256:f55b2e245ca9c42e09f3ce50ca916d5a43d811d96799ba8f9af161c7a50dd7bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ITF2WG63N5JEUD57MWCRGMRSFI/bundle.json","state_url":"https://pith.science/pith/ITF2WG63N5JEUD57MWCRGMRSFI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ITF2WG63N5JEUD57MWCRGMRSFI/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":"2026-08-22T06:51:33Z","links":{"resolver":"https://pith.science/pith/ITF2WG63N5JEUD57MWCRGMRSFI","bundle":"https://pith.science/pith/ITF2WG63N5JEUD57MWCRGMRSFI/bundle.json","state":"https://pith.science/pith/ITF2WG63N5JEUD57MWCRGMRSFI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ITF2WG63N5JEUD57MWCRGMRSFI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ITF2WG63N5JEUD57MWCRGMRSFI","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":"ed9778c0ace5320e9fe8356dd0699cd9ef00b19bbfce324289c2d5b7a32d30d3","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T16:18:16Z","title_canon_sha256":"e5c856be013f0b1fdd05aa7cb9da49040052be99572cbaf9618d0ebe393048ec"},"schema_version":"1.0","source":{"id":"2405.17484","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17484","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17484v3","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17484","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"pith_short_12","alias_value":"ITF2WG63N5JE","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"pith_short_16","alias_value":"ITF2WG63N5JEUD57","created_at":"2026-07-05T09:35:49Z"},{"alias_kind":"pith_short_8","alias_value":"ITF2WG63","created_at":"2026-07-05T09:35:49Z"}],"graph_snapshots":[{"event_id":"sha256:f55b2e245ca9c42e09f3ce50ca916d5a43d811d96799ba8f9af161c7a50dd7bf","target":"graph","created_at":"2026-07-05T09:35:49Z","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/2405.17484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While following different technical routes, both low-rank and orthogonal adaptation techniques can efficiently adapt large-scale pre-training models in specific tasks or domains based on a small piece of trainable parameters. In this study, we bridge the gap between these two techniques, proposing a simple but effective adaptation method based on Householder reflections. Given a pre-trained model, our method fine-tunes its layers by multiplying each frozen weight matrix with an orthogonal matrix constructed by a chain of learnable Householder reflections (HRs). This HR-based orthogonal fine-tu","authors_text":"Haotian Liu, Hongteng Xu, Shen Yuan","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T16:18:16Z","title":"Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17484","kind":"arxiv","version":3},"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":"sha256:44c344807ed77284bfd14e5aeef386e051b669f1bdb70fa15c712e4fa6c449db","target":"record","created_at":"2026-07-05T09:35:49Z","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":"ed9778c0ace5320e9fe8356dd0699cd9ef00b19bbfce324289c2d5b7a32d30d3","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T16:18:16Z","title_canon_sha256":"e5c856be013f0b1fdd05aa7cb9da49040052be99572cbaf9618d0ebe393048ec"},"schema_version":"1.0","source":{"id":"2405.17484","kind":"arxiv","version":3}},"canonical_sha256":"44cbab1bdb6f524a0fbf65851332322a33d397ce849ad46d22654a6f62f0aa8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44cbab1bdb6f524a0fbf65851332322a33d397ce849ad46d22654a6f62f0aa8d","first_computed_at":"2026-07-05T09:35:49.566680Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:49.566680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Pubtlvm8KdvTu/W21HWooe3xeBqgqS4QAKRgAtL2xuVZvVEzEFU+rLd7BryzqF4dXqfV1+QbMF0psceVY7l+Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:49.567135Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.17484","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44c344807ed77284bfd14e5aeef386e051b669f1bdb70fa15c712e4fa6c449db","sha256:f55b2e245ca9c42e09f3ce50ca916d5a43d811d96799ba8f9af161c7a50dd7bf"],"state_sha256":"0331c6edfcad72337abe782681f2f9d8a0e488f36f368d0013a3480817251377"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jhT/TMTX3YjIE9dqcdfp2D82+/D9BU78zqwKgxmAG0UCbDPBI7Qhco1yZjXZsR4f1+sT/+whkK69zFpfP6PJBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T06:51:33.082168Z","bundle_sha256":"5895a4d211fb781b843eb5735ec270887c5b537baab6f4876f8440e637c0c9b3"}}