{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZVAJEP5YITCF7P7Z55AGGJHGDA","short_pith_number":"pith:ZVAJEP5Y","canonical_record":{"source":{"id":"2412.07679","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T17:06:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"06eab4136deae4f939f94bdba2bd0cbc35dcf806b279dd9f5a10d6fedcd782f7","abstract_canon_sha256":"1c6b11d9139699a3df40b0734ece636f28a80e2939e0693c3a2f43c0d7e0a076"},"schema_version":"1.0"},"canonical_sha256":"cd40923fb844c45fbff9ef406324e6180084cf9c9d52cc0f2dbc65d5c9d35c9d","source":{"kind":"arxiv","id":"2412.07679","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07679","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07679v2","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07679","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_12","alias_value":"ZVAJEP5YITCF","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_16","alias_value":"ZVAJEP5YITCF7P7Z","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_8","alias_value":"ZVAJEP5Y","created_at":"2026-07-05T10:11:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZVAJEP5YITCF7P7Z55AGGJHGDA","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07679","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T17:06:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"06eab4136deae4f939f94bdba2bd0cbc35dcf806b279dd9f5a10d6fedcd782f7","abstract_canon_sha256":"1c6b11d9139699a3df40b0734ece636f28a80e2939e0693c3a2f43c0d7e0a076"},"schema_version":"1.0"},"canonical_sha256":"cd40923fb844c45fbff9ef406324e6180084cf9c9d52cc0f2dbc65d5c9d35c9d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:29.963946Z","signature_b64":"gKa08eKrzTXeI2fzlA/UQoUrerC7OEnj0L9kKdNmjRcx9hbdzFTgxRVRs/D/I8xnEyaxBNbu/zeujtHF9YZPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd40923fb844c45fbff9ef406324e6180084cf9c9d52cc0f2dbc65d5c9d35c9d","last_reissued_at":"2026-07-05T10:11:29.963436Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:29.963436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07679","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":"2026-07-05T10:11:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uaDwyEaOavc7EauFu68CkzsUHAOQpgiqYX9/WIe8zLSeEdBtydXFGPRrnkzoRcg3WDW5CfE/9wQvvAKhE1cjBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:09:21.987598Z"},"content_sha256":"971c9453be38bcf9048ea5e313ee0a9f06eb597fce3b383623e34465059ecdb2","schema_version":"1.0","event_id":"sha256:971c9453be38bcf9048ea5e313ee0a9f06eb597fce3b383623e34465059ecdb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZVAJEP5YITCF7P7Z55AGGJHGDA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Andrew Tao, Bryan Catanzaro, Greg Heinrich, Hongxu (Danny) Yin, Jan Kautz, Mike Ranzinger, Pavlo Molchanov, Yao Lu","submitted_at":"2024-12-10T17:06:41Z","abstract_excerpt":"Agglomerative models have recently emerged as a powerful approach to training vision foundation models, leveraging multi-teacher distillation from existing models such as CLIP, DINO, and SAM. This strategy enables the efficient creation of robust models, combining the strengths of individual teachers while significantly reducing computational and resource demands. In this paper, we thoroughly analyze state-of-the-art agglomerative models, identifying critical challenges including resolution mode shifts, teacher imbalance, idiosyncratic teacher artifacts, and an excessive number of output token"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07679","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/2412.07679/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":"2026-07-05T10:11:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gczzPc1et0N6YgBl7IOlOBDSw5YgneTyDA0HvhRfc7q8TiZtE7mcT7dcykIprbEuJOdLoIXXeZgWHAP3HH2FBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:09:21.988092Z"},"content_sha256":"23a6083f50de53e15a10bb3b3ba192619d3eba6791c18dbd6180808640e9fcc8","schema_version":"1.0","event_id":"sha256:23a6083f50de53e15a10bb3b3ba192619d3eba6791c18dbd6180808640e9fcc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA/bundle.json","state_url":"https://pith.science/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA/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":"2026-08-06T09:09:21Z","links":{"resolver":"https://pith.science/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA","bundle":"https://pith.science/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA/bundle.json","state":"https://pith.science/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZVAJEP5YITCF7P7Z55AGGJHGDA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZVAJEP5YITCF7P7Z55AGGJHGDA","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":"1c6b11d9139699a3df40b0734ece636f28a80e2939e0693c3a2f43c0d7e0a076","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T17:06:41Z","title_canon_sha256":"06eab4136deae4f939f94bdba2bd0cbc35dcf806b279dd9f5a10d6fedcd782f7"},"schema_version":"1.0","source":{"id":"2412.07679","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07679","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07679v2","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07679","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_12","alias_value":"ZVAJEP5YITCF","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_16","alias_value":"ZVAJEP5YITCF7P7Z","created_at":"2026-07-05T10:11:29Z"},{"alias_kind":"pith_short_8","alias_value":"ZVAJEP5Y","created_at":"2026-07-05T10:11:29Z"}],"graph_snapshots":[{"event_id":"sha256:23a6083f50de53e15a10bb3b3ba192619d3eba6791c18dbd6180808640e9fcc8","target":"graph","created_at":"2026-07-05T10:11:29Z","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/2412.07679/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agglomerative models have recently emerged as a powerful approach to training vision foundation models, leveraging multi-teacher distillation from existing models such as CLIP, DINO, and SAM. This strategy enables the efficient creation of robust models, combining the strengths of individual teachers while significantly reducing computational and resource demands. In this paper, we thoroughly analyze state-of-the-art agglomerative models, identifying critical challenges including resolution mode shifts, teacher imbalance, idiosyncratic teacher artifacts, and an excessive number of output token","authors_text":"Andrew Tao, Bryan Catanzaro, Greg Heinrich, Hongxu (Danny) Yin, Jan Kautz, Mike Ranzinger, Pavlo Molchanov, Yao Lu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T17:06:41Z","title":"RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07679","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":"sha256:971c9453be38bcf9048ea5e313ee0a9f06eb597fce3b383623e34465059ecdb2","target":"record","created_at":"2026-07-05T10:11:29Z","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":"1c6b11d9139699a3df40b0734ece636f28a80e2939e0693c3a2f43c0d7e0a076","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T17:06:41Z","title_canon_sha256":"06eab4136deae4f939f94bdba2bd0cbc35dcf806b279dd9f5a10d6fedcd782f7"},"schema_version":"1.0","source":{"id":"2412.07679","kind":"arxiv","version":2}},"canonical_sha256":"cd40923fb844c45fbff9ef406324e6180084cf9c9d52cc0f2dbc65d5c9d35c9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd40923fb844c45fbff9ef406324e6180084cf9c9d52cc0f2dbc65d5c9d35c9d","first_computed_at":"2026-07-05T10:11:29.963436Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:29.963436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gKa08eKrzTXeI2fzlA/UQoUrerC7OEnj0L9kKdNmjRcx9hbdzFTgxRVRs/D/I8xnEyaxBNbu/zeujtHF9YZPDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:29.963946Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07679","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:971c9453be38bcf9048ea5e313ee0a9f06eb597fce3b383623e34465059ecdb2","sha256:23a6083f50de53e15a10bb3b3ba192619d3eba6791c18dbd6180808640e9fcc8"],"state_sha256":"4bda380acb501c47a9b86443b4c23053ce574fbf6fc0d005ffecfa00f9b5bbfa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWJ8elKqyldqHE3lrPdcVl30xtdGKf6pVc6fX0eeQGwj5fjGZ61+ZcmnnWzsoOE3H8A56uUySJtPppI6pdrDBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T09:09:21.991505Z","bundle_sha256":"0dfdb3ca581a7242165648e7b2fee92c651818f5c19ec281dd14feb53b067e4e"}}