{"_canonicalization":{"envelope_id":"axm_ + sha256(envelope minus {signature, axiom_id, anchors})","envelope_signature":"ed25519(envelope minus {signature, axiom_id})","json":"sort_keys=True, separators=(',',':'), ensure_ascii=False, allow_nan=False, utf-8","leaf_hash":"sha256(0x00 || canonical_json(envelope_full))","seal_signature":"ed25519(seal minus {signature, sig_algorithm})"},"axiom_id":"axm_7a387014d189af6de4a8945bf63d42d6d2f258ec2daf412223aacd81891a270f","bitcoin_anchor":{"bitcoin_attestations":["bitcoin_block_949451"],"calendar_attestations":["https://finney.calendar.eternitywall.com","https://btc.calendar.catallaxy.com","https://alice.btc.calendar.opentimestamps.org","https://bob.btc.calendar.opentimestamps.org"],"ots_url":"/registry/data/substrate/anchors/77fc9c28fae777b81da5b495b3115474df6592dfac590333213d3bdf8b94a9b3.ots","stamped_at":"2026-05-15T03:00:03Z","status":"bitcoin"},"envelope":{"anchors":[{"chain":"crovia.axiom_graph","height":0,"merkle_proof":"spider_vendor_press_v1","root_at_anchor":"spider_vendor_press_v1"}],"axiom_id":"axm_7a387014d189af6de4a8945bf63d42d6d2f258ec2daf412223aacd81891a270f","axiom_type":"AX.OBS","body":{"axiom_subtype":"news.vendor_press.v1","category":"news","fingerprint":"669e87820d0049726df94a068029b47326d2d20421664f1edf31aef74928ac8d","published":"Thu, 07 May 2026 00:00:00 -0400","receipt_hash":"669e87820d0049726df94a068029b47326d2d20421664f1edf31aef74928ac8d","schema":"spider.news.vendor_press.v1","spider":"vendor_press","spider_record":{"axiom_subtype":"news.vendor_press.v1","category":"news","decision_hint":"POSITIVE","envelope_target":"AX.OBS","fingerprint":"669e87820d0049726df94a068029b47326d2d20421664f1edf31aef74928ac8d","observed_at":"2026-05-07T04:43:30.601849Z","parent_run_hash":"b20b3beeadde500bb99eda3b869d50b00c5259b2c78c650d83e786ac81b85801","published":"Thu, 07 May 2026 00:00:00 -0400","runtime_version":"0.1.0","schema":"spider.news.vendor_press.v1","source_status":200,"source_url":"https://export.arxiv.org/rss/cs.AI","spider":"vendor_press","summary_excerpt":"arXiv:2605.02908v1 Announce Type: cross \nAbstract: Understanding how textual embeddings contribute to memorization in text-to-image diffusion models is crucial for both interpretability and safety. This paper investigates an unexpected behavior of CLIP embeddings in Stable Diffusion, revealing that the model disproportionately relies on specific embeddings. We categorize input tokens as <startoftext>, <prompt>, <endoftext> and <pad> with corresponding embeddings $\\mathbf{v}^{\\mathbf{sot}}, \\mathbf{v}^{\\mathbf{pr}}, \\mathbf{v}^{\\mathbf{eot}}, \\mathbf{v}^{\\mathbf{pad}}$. We discover that $\\mathbf{v}^{\\mathbf{pr}}$ contribute minimally to generation in memorized cases. In contrast, $\\mathbf{v}^{\\mathbf{pad}}$ strongly affect memorization due to their structural duplication of $\\mathbf{v}^{\\mathbf{eot}}$, the only embedding explicitly optimized during CLIP training. This duplication unintentionally amplifies the influence of $\\mathbf{v}^{\\mathbf{eot}}$, causing the model to over-rely on it","title":"Memorization In Stable Diffusion Is Unexpectedly Driven by CLIP Embeddings","url":"https://arxiv.org/abs/2605.02908","vendor":"arxiv_cs_ai"},"summary":"arXiv:2605.02908v1 Announce Type: cross \nAbstract: Understanding how textual embeddings contribute to memorization in text-to-image diffusion models is crucial for both interpretability and safety. This paper investigates an unexpected behavior of CLIP embeddings in Stable Diffusion, revealing that the model disproportionately relies on specific embeddings. We categorize input tokens as <startoftext>, <prompt>, <endoftext> and <pad> with corresponding embeddings $\\mathbf{v}^{\\mathbf{sot}}, \\mathbf{v}^{\\mathbf{pr}}, \\mathbf{v}^{\\mathbf{eot}}, \\mathbf{v}^{\\mathbf{pad}}$. We discover that $\\mathbf{v}^{\\mathbf{pr}}$ contribute minimally to generation in memorized cases. In contrast, $\\mathbf{v}^{\\mathbf{pad}}$ strongly affect memorization due to their structural duplication of $\\mathbf{v}^{\\mathbf{eot}}$, the only embedding explicitly optimized during CLIP training. This duplication unintentionally amplifies the influence of $\\mathbf{v}^{\\mathbf{eot}}$, causing the model to over-rely on it","title":"Memorization In Stable Diffusion Is Unexpectedly Driven by CLIP Embeddings","vendor":"arxiv_cs_ai"},"confidence":{"method":"deterministic"},"decision":"POSITIVE","issued_at":"2026-05-07T04:43:30Z","notes":"Spider vendor_press (news) news.vendor_press.v1","object":{"captured_by":"crovia.spider.vendor_press","primary_source_url":"https://arxiv.org/abs/2605.02908"},"predecessors":[],"schema":"crovia.axiom.v1","signature":"ed25519:dc5507ba4560338078a5a46ddee2d4f93c494fe102c9009fabc5c04540083a66ba916071cb9f68b7cf72679d0f4fea7496af0bfd45a3035468752321e1c91b0b","signer":"crovia.substrate","subject":{"observed_at":"2026-05-07T04:43:30Z","source_collector":"spider:vendor_press","target_id":"https://arxiv.org/abs/2605.02908"},"tsa":{"authority":"crovia.substrate.bootstrap","rfc3161_token":"{\"kind\":\"crovia.bootstrap.tsa\",\"source_jsonl\":\"/opt/crovia/spider/data/news/vendor_press_v1.jsonl\",\"source_seal_merkle_root\":\"spider_vendor_press_v1\",\"upgrade_path\":\"Sessione H \\u2014 OpenTimestamps weekly anchor\"}"},"zk_mode":"clear","zk_proof":null},"ledger":{"leaf_hash":"7a9eec4d3ff82de0f26b7a4deb737412033a3d65a2b1cc12b853417b595082ce","leaf_index":118213,"ledger_path":"/opt/crovia/substrate/axiom_ledger.jsonl"},"merkle_proof":{"hash_alg":"sha256","leaf_prefix":"0x00","node_prefix":"0x01","odd_leaf_rule":"duplicate_last","path":[{"sibling":"0cf882403d0d09ede71da0a685e7e25adece3a5c9fc8787e461b7904ba302552","side":"left"},{"sibling":"3c8ebb32ca101a8acc642a325753632a83a1ed2cc3757e896fd3f52ab26f1c90","side":"right"},{"sibling":"b772f35ff79b4a3ebf025337972b98ba5ca393664fd27e47467ad7d0d8791398","side":"left"},{"sibling":"c99c8fd7c44280b6b8083060dbbc01a905fa2f5db7d5ae63a6ac6551e5161027","side":"right"},{"sibling":"a6ef598ab40441a8ed079d84074d06b5febea003a04fb72b309560a7d89025f5","side":"right"},{"sibling":"c063c39ae694b656fe885810193365d271b3b69afdf3da9ee1836f170f43c681","side":"right"},{"sibling":"1b5d9d099a141dbd9b65685d9424ef07b508b27c0e01ef2b925d1dd5d95de03a","side":"left"},{"sibling":"c25c853cb3dd8c7f1b99fc80fd602c044932de34c1b34bd69ab1d5b8c94e42b1","side":"left"},{"sibling":"3d3124224341dac361f0e93f24f70795342ba216dc1c0065e7fa7592d943b488","side":"left"},{"sibling":"438bef084db8613e8143527769e3c677e12a59f8a6e2dea114f88afab0446a43","side":"right"},{"sibling":"8e758a4477dfc0838d2e8ea2bdbd583bc3192683e75fd9cde217ee6a3b2f3ac8","side":"left"},{"sibling":"4219f746e463e594ccd6447debdf736a57e77319b12bcb74d8ece2b5860064c6","side":"left"},{"sibling":"05f89b32c00462e60adf95c1fe4579cdc2791b36e8b17573d8f3b5fd5da95a0b","side":"right"},{"sibling":"8ccd9937a2c0d5c04044d07d1557791b7d07bb31eac41a39a675608d44b38f23","side":"right"},{"sibling":"3a5e69cf0803f4c91f3895ed7c9a95748fef240bec4422e167c05300f79f06c0","side":"left"},{"sibling":"f2817ab288b5324fe49770372c7a10f33f7cd11005f8d4c0a730316f5229dc98","side":"left"},{"sibling":"725fac972e772ca0dc598810ea1abc70df472f72d2d6ab8a0baee2b80e5d2f4c","side":"left"},{"sibling":"98fc57dfef8873b512edc8340f7181df57302bb96777625e072235c62d7c5895","side":"right"}]},"schema":"crovia.axiom_proof.v1","seal":{"first_collector_run_id":"","first_receipt_hash":"","jsonl_path":"/opt/crovia/substrate/axiom_ledger.jsonl","key_id":"430895f101d38164","last_collector_run_id":"","last_receipt_hash":"","leaf_count":134292,"merkle_root":"77fc9c28fae777b81da5b495b3115474df6592dfac590333213d3bdf8b94a9b3","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","run_id":"hourly_json_retrofit_20260515T023701Z","schema":"crovia.seal.v1","seal_family_version":"crovia-seal-family/1","seal_kind":"substrate_batch","sealed_at":"2026-05-15T02:37:25Z","sig_algorithm":"ed25519","signature":"68107a834b00b24f5d4501e5ec727445311f132a486567ecc4c72a4e6dff24c8c21f2de3105293353ba5fdbe370d032819af6aa70f694e2e39b6af6737507009","signer_version":"1.1.0"},"trust_root":{"key_id":"430895f101d38164","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","signature_algorithm":"ed25519","url":"/registry/canon/TRUST_ROOT.md"},"verifier":{"spec":"/registry/canon/AXIOM_RECEIPT_v1.md","url":"/v/axm_7a387014d189af6de4a8945bf63d42d6d2f258ec2daf412223aacd81891a270f"}}