{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XHUSUDRCB7OGSLJKBFFSHFCT6E","short_pith_number":"pith:XHUSUDRC","canonical_record":{"source":{"id":"2606.23897","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T19:53:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"862e8eaec7a6f02bdb4143854389fb9092460f602ed20901c5349a985ce913fd","abstract_canon_sha256":"ae3d99abb85cbacdf8c664c7e75b466f2119752ab6aba19e34aceff5b08e6ad7"},"schema_version":"1.0"},"canonical_sha256":"b9e92a0e220fdc692d2a094b239453f1376ebbba736ca06cfe1c042fd5c8f01a","source":{"kind":"arxiv","id":"2606.23897","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.23897","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"arxiv_version","alias_value":"2606.23897v1","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23897","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"pith_short_12","alias_value":"XHUSUDRCB7OG","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"pith_short_16","alias_value":"XHUSUDRCB7OGSLJK","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"pith_short_8","alias_value":"XHUSUDRC","created_at":"2026-06-24T00:14:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XHUSUDRCB7OGSLJKBFFSHFCT6E","target":"record","payload":{"canonical_record":{"source":{"id":"2606.23897","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T19:53:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"862e8eaec7a6f02bdb4143854389fb9092460f602ed20901c5349a985ce913fd","abstract_canon_sha256":"ae3d99abb85cbacdf8c664c7e75b466f2119752ab6aba19e34aceff5b08e6ad7"},"schema_version":"1.0"},"canonical_sha256":"b9e92a0e220fdc692d2a094b239453f1376ebbba736ca06cfe1c042fd5c8f01a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T00:14:29.604522Z","signature_b64":"agxQaLgzV0NoABLMK7Rh531hNgyfiiSuojy1FaFkizMP3m32QWJz2zW9WWHHFfE5n9K0j2bPznHNYd06pqdwCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9e92a0e220fdc692d2a094b239453f1376ebbba736ca06cfe1c042fd5c8f01a","last_reissued_at":"2026-06-24T00:14:29.604169Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T00:14:29.604169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.23897","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":"2026-06-24T00:14:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8bgyET8tkfte2st2enrivT1GpJg4OPga6IgsfBY7TC6/kgwwm7t4EtXeHIWWKjs+R0yu/PERlsvEoNhSSMC6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T20:42:40.635195Z"},"content_sha256":"ee13e169d844bbd2011cb7ef8cb50ffe2fe054cd1dc55da79f48644340270bec","schema_version":"1.0","event_id":"sha256:ee13e169d844bbd2011cb7ef8cb50ffe2fe054cd1dc55da79f48644340270bec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XHUSUDRCB7OGSLJKBFFSHFCT6E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Professor: Multi-Teacher Unsupervised Prompt Distillation for Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ahmad Algadhi, Ahmed Alzuhair, Muzammil Behzad, Omar Alkhulaif","submitted_at":"2026-06-22T19:53:41Z","abstract_excerpt":"Prompt distillation compresses large vision-language models (VLMs) such as CLIP into lightweight student models by matching teacher predictions on unlabeled domain images. PromptKD (CVPR 2024) established this paradigm with a single PromptSRC-finetuned ViT-L/14 teacher and a ViT-B/16 student. We propose TheProfessor, a multi-teacher extension that distills from a fixed two-teacher ensemble: a domain-finetuned PromptSRC ViT-L/14 teacher and a zero-shot EVA-CLIP-L/14 teacher whose logits are pre-computed per dataset. We evaluate single-teacher PromptKD, equal-probability ensembling, and confiden"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23897","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/2606.23897/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":"2026-06-24T00:14:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hj8GIz6p9W97DnwW7JmpqF0kThM4SSHtQs1X0DuL988nAYqbzYqFIqFb5vuKN1UtO55MJApS5EpBzFIIx0SmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T20:42:40.635677Z"},"content_sha256":"68ec97f681c32662bbc36235f1501fc933ff2684e9230deaa64d969f8a468ab0","schema_version":"1.0","event_id":"sha256:68ec97f681c32662bbc36235f1501fc933ff2684e9230deaa64d969f8a468ab0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E/bundle.json","state_url":"https://pith.science/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E/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":"2026-06-29T20:42:40Z","links":{"resolver":"https://pith.science/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E","bundle":"https://pith.science/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E/bundle.json","state":"https://pith.science/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XHUSUDRCB7OGSLJKBFFSHFCT6E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XHUSUDRCB7OGSLJKBFFSHFCT6E","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":"ae3d99abb85cbacdf8c664c7e75b466f2119752ab6aba19e34aceff5b08e6ad7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T19:53:41Z","title_canon_sha256":"862e8eaec7a6f02bdb4143854389fb9092460f602ed20901c5349a985ce913fd"},"schema_version":"1.0","source":{"id":"2606.23897","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.23897","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"arxiv_version","alias_value":"2606.23897v1","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23897","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"pith_short_12","alias_value":"XHUSUDRCB7OG","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"pith_short_16","alias_value":"XHUSUDRCB7OGSLJK","created_at":"2026-06-24T00:14:29Z"},{"alias_kind":"pith_short_8","alias_value":"XHUSUDRC","created_at":"2026-06-24T00:14:29Z"}],"graph_snapshots":[{"event_id":"sha256:68ec97f681c32662bbc36235f1501fc933ff2684e9230deaa64d969f8a468ab0","target":"graph","created_at":"2026-06-24T00:14:29Z","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/2606.23897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt distillation compresses large vision-language models (VLMs) such as CLIP into lightweight student models by matching teacher predictions on unlabeled domain images. PromptKD (CVPR 2024) established this paradigm with a single PromptSRC-finetuned ViT-L/14 teacher and a ViT-B/16 student. We propose TheProfessor, a multi-teacher extension that distills from a fixed two-teacher ensemble: a domain-finetuned PromptSRC ViT-L/14 teacher and a zero-shot EVA-CLIP-L/14 teacher whose logits are pre-computed per dataset. We evaluate single-teacher PromptKD, equal-probability ensembling, and confiden","authors_text":"Ahmad Algadhi, Ahmed Alzuhair, Muzammil Behzad, Omar Alkhulaif","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T19:53:41Z","title":"The Professor: Multi-Teacher Unsupervised Prompt Distillation for Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23897","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:ee13e169d844bbd2011cb7ef8cb50ffe2fe054cd1dc55da79f48644340270bec","target":"record","created_at":"2026-06-24T00:14:29Z","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":"ae3d99abb85cbacdf8c664c7e75b466f2119752ab6aba19e34aceff5b08e6ad7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T19:53:41Z","title_canon_sha256":"862e8eaec7a6f02bdb4143854389fb9092460f602ed20901c5349a985ce913fd"},"schema_version":"1.0","source":{"id":"2606.23897","kind":"arxiv","version":1}},"canonical_sha256":"b9e92a0e220fdc692d2a094b239453f1376ebbba736ca06cfe1c042fd5c8f01a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9e92a0e220fdc692d2a094b239453f1376ebbba736ca06cfe1c042fd5c8f01a","first_computed_at":"2026-06-24T00:14:29.604169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T00:14:29.604169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"agxQaLgzV0NoABLMK7Rh531hNgyfiiSuojy1FaFkizMP3m32QWJz2zW9WWHHFfE5n9K0j2bPznHNYd06pqdwCQ==","signature_status":"signed_v1","signed_at":"2026-06-24T00:14:29.604522Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.23897","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee13e169d844bbd2011cb7ef8cb50ffe2fe054cd1dc55da79f48644340270bec","sha256:68ec97f681c32662bbc36235f1501fc933ff2684e9230deaa64d969f8a468ab0"],"state_sha256":"8269ad1f4ce62d49db6f7b7dfcf3cbba33b92e8736a27ad91d0b4e7097aa67a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AzAnp/0wpaLp0y5uyvjYI76JDdqFssNMwCW3qz0T/04QOHmhZDB2UyxfDWG87bzvpFfsRXxbK+mlI/eMfFg2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T20:42:40.637591Z","bundle_sha256":"d687ff74612f2864331abcd6f2ef490eed2cfc86483f3baf025242bc3a4d1bec"}}