{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XI4EPGVRQAEQIGZLUJO7QZXJRX","short_pith_number":"pith:XI4EPGVR","canonical_record":{"source":{"id":"2601.09322","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-14T09:50:09Z","cross_cats_sorted":[],"title_canon_sha256":"e64fef527de8fd2f87fd7273c6c923769cf5078981e6d70044f8b91bd894b367","abstract_canon_sha256":"339c6a9201f11c2c1b7ef35d3825765ba2d722d4efdaf39dc7bc0009c8b3cb24"},"schema_version":"1.0"},"canonical_sha256":"ba38479ab18009041b2ba25df866e98dd536c2b50f04eb93f228c3f0f4ba8511","source":{"kind":"arxiv","id":"2601.09322","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.09322","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"2601.09322v2","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.09322","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"XI4EPGVRQAEQ","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"pith_short_16","alias_value":"XI4EPGVRQAEQIGZL","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"pith_short_8","alias_value":"XI4EPGVR","created_at":"2026-07-16T01:22:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XI4EPGVRQAEQIGZLUJO7QZXJRX","target":"record","payload":{"canonical_record":{"source":{"id":"2601.09322","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-14T09:50:09Z","cross_cats_sorted":[],"title_canon_sha256":"e64fef527de8fd2f87fd7273c6c923769cf5078981e6d70044f8b91bd894b367","abstract_canon_sha256":"339c6a9201f11c2c1b7ef35d3825765ba2d722d4efdaf39dc7bc0009c8b3cb24"},"schema_version":"1.0"},"canonical_sha256":"ba38479ab18009041b2ba25df866e98dd536c2b50f04eb93f228c3f0f4ba8511","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-16T01:22:33.099216Z","signature_b64":"goh0wDOglkhQ03UON+buJKYJTH8IaYaYgL2dkvpdbuqIfvq7eoJXnbGtl5q4LTBCLs8Iam8ZxdUTkQrIDqF0DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba38479ab18009041b2ba25df866e98dd536c2b50f04eb93f228c3f0f4ba8511","last_reissued_at":"2026-07-16T01:22:33.098266Z","signature_status":"signed_v1","first_computed_at":"2026-07-16T01:22:33.098266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.09322","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":"2026-07-16T01:22:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OQZ0HtPtvInU7AV1qzdY1DhD/UYnOvl5PMcTZ+v4uoROSPY/gJsn8aJd4as8yXFv6Cc6aIE2q2+mlHcnZgQfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:17:19.089265Z"},"content_sha256":"1de9e1254612d41b31249fcaee14d277b56031511678fefde534c7dcf6e9531b","schema_version":"1.0","event_id":"sha256:1de9e1254612d41b31249fcaee14d277b56031511678fefde534c7dcf6e9531b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XI4EPGVRQAEQIGZLUJO7QZXJRX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attentive multilayer fusion for vision transformers","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Laure Ciernik, Luca Eyring, Lukas Muttenthaler, Lukas Thede, Marco Morik, Shinichi Nakajima, Zeynep Akata","submitted_at":"2026-01-14T09:50:09Z","abstract_excerpt":"With the rise of large-scale foundation models, efficiently adapting them to downstream tasks remains a central challenge. Linear probing, which freezes the backbone and trains a lightweight head, is computationally efficient but often restricted to last-layer representations. We show that task-relevant information is distributed across the network hierarchy rather than encoded solely in the last layers. To leverage this distribution of information, we apply an attentive probing mechanism that dynamically fuses representations from all layers of a Vision Transformer. This attentive layer fusio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.09322","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/2601.09322/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":"2026-07-16T01:22:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xdOYBlY/0+i4ateWURV5Qs8uykhrk0zzXvYK8oOVDI/vKBhOXgJZE2OYWkY6TLJ9XcsxNScPKEbjDvk9wpHpCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:17:19.090239Z"},"content_sha256":"1d8e7684073ce51b10d2456b8f1af81b2b37a7fce921dd70da961f72ed4867ec","schema_version":"1.0","event_id":"sha256:1d8e7684073ce51b10d2456b8f1af81b2b37a7fce921dd70da961f72ed4867ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX/bundle.json","state_url":"https://pith.science/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX/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":"2026-08-05T09:17:19Z","links":{"resolver":"https://pith.science/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX","bundle":"https://pith.science/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX/bundle.json","state":"https://pith.science/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XI4EPGVRQAEQIGZLUJO7QZXJRX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XI4EPGVRQAEQIGZLUJO7QZXJRX","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":"339c6a9201f11c2c1b7ef35d3825765ba2d722d4efdaf39dc7bc0009c8b3cb24","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-14T09:50:09Z","title_canon_sha256":"e64fef527de8fd2f87fd7273c6c923769cf5078981e6d70044f8b91bd894b367"},"schema_version":"1.0","source":{"id":"2601.09322","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.09322","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"2601.09322v2","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.09322","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"XI4EPGVRQAEQ","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"pith_short_16","alias_value":"XI4EPGVRQAEQIGZL","created_at":"2026-07-16T01:22:33Z"},{"alias_kind":"pith_short_8","alias_value":"XI4EPGVR","created_at":"2026-07-16T01:22:33Z"}],"graph_snapshots":[{"event_id":"sha256:1d8e7684073ce51b10d2456b8f1af81b2b37a7fce921dd70da961f72ed4867ec","target":"graph","created_at":"2026-07-16T01:22:33Z","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/2601.09322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rise of large-scale foundation models, efficiently adapting them to downstream tasks remains a central challenge. Linear probing, which freezes the backbone and trains a lightweight head, is computationally efficient but often restricted to last-layer representations. We show that task-relevant information is distributed across the network hierarchy rather than encoded solely in the last layers. To leverage this distribution of information, we apply an attentive probing mechanism that dynamically fuses representations from all layers of a Vision Transformer. This attentive layer fusio","authors_text":"Laure Ciernik, Luca Eyring, Lukas Muttenthaler, Lukas Thede, Marco Morik, Shinichi Nakajima, Zeynep Akata","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-14T09:50:09Z","title":"Attentive multilayer fusion for vision transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.09322","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":"sha256:1de9e1254612d41b31249fcaee14d277b56031511678fefde534c7dcf6e9531b","target":"record","created_at":"2026-07-16T01:22:33Z","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":"339c6a9201f11c2c1b7ef35d3825765ba2d722d4efdaf39dc7bc0009c8b3cb24","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-14T09:50:09Z","title_canon_sha256":"e64fef527de8fd2f87fd7273c6c923769cf5078981e6d70044f8b91bd894b367"},"schema_version":"1.0","source":{"id":"2601.09322","kind":"arxiv","version":2}},"canonical_sha256":"ba38479ab18009041b2ba25df866e98dd536c2b50f04eb93f228c3f0f4ba8511","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba38479ab18009041b2ba25df866e98dd536c2b50f04eb93f228c3f0f4ba8511","first_computed_at":"2026-07-16T01:22:33.098266Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T01:22:33.098266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"goh0wDOglkhQ03UON+buJKYJTH8IaYaYgL2dkvpdbuqIfvq7eoJXnbGtl5q4LTBCLs8Iam8ZxdUTkQrIDqF0DA==","signature_status":"signed_v1","signed_at":"2026-07-16T01:22:33.099216Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.09322","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1de9e1254612d41b31249fcaee14d277b56031511678fefde534c7dcf6e9531b","sha256:1d8e7684073ce51b10d2456b8f1af81b2b37a7fce921dd70da961f72ed4867ec"],"state_sha256":"9623f7f09f4f5841899319b98676ef18d76bc23ea1cfc9abe359a4038605b8f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AHLrn7iv3YTDQAAUnr23wIZo8eqr5ebFNk7YDXH0XPsQdshpuWt3gPmFTS5jkM2zsYbQTaFwKcwdGYoPZ6h8Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:17:19.099959Z","bundle_sha256":"ffbbedb284e7bf654a7207f590087935e6683021fcfca4366ed8c37ff6b44362"}}