{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:5OJRVABTGUQAABRB2YC3JZVVLT","short_pith_number":"pith:5OJRVABT","canonical_record":{"source":{"id":"2206.03529","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-07T18:24:46Z","cross_cats_sorted":[],"title_canon_sha256":"0cc842da6c5e04f4ffdf8ae8da575f4c9d91bfd5f4b553197f5112bf76656052","abstract_canon_sha256":"94afefcb25f986e73aaf383bd11373b2f6f826d9c23f4ae8c5cb43692af8a5b4"},"schema_version":"1.0"},"canonical_sha256":"eb931a80333520000621d605b4e6b55ced86b2841185d56f51349104561d33ea","source":{"kind":"arxiv","id":"2206.03529","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03529","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03529v1","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03529","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"pith_short_12","alias_value":"5OJRVABTGUQA","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"pith_short_16","alias_value":"5OJRVABTGUQAABRB","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"pith_short_8","alias_value":"5OJRVABT","created_at":"2026-07-05T04:30:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:5OJRVABTGUQAABRB2YC3JZVVLT","target":"record","payload":{"canonical_record":{"source":{"id":"2206.03529","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-07T18:24:46Z","cross_cats_sorted":[],"title_canon_sha256":"0cc842da6c5e04f4ffdf8ae8da575f4c9d91bfd5f4b553197f5112bf76656052","abstract_canon_sha256":"94afefcb25f986e73aaf383bd11373b2f6f826d9c23f4ae8c5cb43692af8a5b4"},"schema_version":"1.0"},"canonical_sha256":"eb931a80333520000621d605b4e6b55ced86b2841185d56f51349104561d33ea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:30:10.307889Z","signature_b64":"lsCGTISIYu8N4fG4r3mTuf9U2wXhedxqjItgzekA8MTbGt4yVXOfBwKmCZ30WUKrHcEVebk3HtrhiUTjigVTDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb931a80333520000621d605b4e6b55ced86b2841185d56f51349104561d33ea","last_reissued_at":"2026-07-05T04:30:10.307492Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:30:10.307492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.03529","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":"2026-07-05T04:30:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J0903ZYVdXei34rYJZ7oBlxWyqe8D1FA6kd2vHglioXpLkhgp7TtWpShp1tzb/PfsWj+IbBg2aDlxxBEK6+/Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:50:17.905765Z"},"content_sha256":"fef1cb6ccf7c39aa3b8a96b36bda1403ee13e39615c83a70df84ad304eaaed52","schema_version":"1.0","event_id":"sha256:fef1cb6ccf7c39aa3b8a96b36bda1403ee13e39615c83a70df84ad304eaaed52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:5OJRVABTGUQAABRB2YC3JZVVLT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How to Dissect a Muppet: The Structure of Transformer Embedding Spaces","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Denis Paperno, Mathieu Constant, Timothee Mickus","submitted_at":"2022-06-07T18:24:46Z","abstract_excerpt":"Pretrained embeddings based on the Transformer architecture have taken the NLP community by storm. We show that they can mathematically be reframed as a sum of vector factors and showcase how to use this reframing to study the impact of each component. We provide evidence that multi-head attentions and feed-forwards are not equally useful in all downstream applications, as well as a quantitative overview of the effects of finetuning on the overall embedding space. This approach allows us to draw connections to a wide range of previous studies, from vector space anisotropy to attention weights."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03529","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/2206.03529/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":"2026-07-05T04:30:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J91hrTbK1lgFxtIsPG6Ea96nFtsSB7JK3GXKryAYrFO2AUPjbUaB9Yme5ghtCuQJqix0o9Yn+X9GUJ96t6oMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:50:17.906259Z"},"content_sha256":"49d2fe23d6586630ebb2c5c56ccf422dbca41b2ce197d4bc98d2082269e09af4","schema_version":"1.0","event_id":"sha256:49d2fe23d6586630ebb2c5c56ccf422dbca41b2ce197d4bc98d2082269e09af4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5OJRVABTGUQAABRB2YC3JZVVLT/bundle.json","state_url":"https://pith.science/pith/5OJRVABTGUQAABRB2YC3JZVVLT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5OJRVABTGUQAABRB2YC3JZVVLT/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":"2026-08-10T18:50:17Z","links":{"resolver":"https://pith.science/pith/5OJRVABTGUQAABRB2YC3JZVVLT","bundle":"https://pith.science/pith/5OJRVABTGUQAABRB2YC3JZVVLT/bundle.json","state":"https://pith.science/pith/5OJRVABTGUQAABRB2YC3JZVVLT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5OJRVABTGUQAABRB2YC3JZVVLT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5OJRVABTGUQAABRB2YC3JZVVLT","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":"94afefcb25f986e73aaf383bd11373b2f6f826d9c23f4ae8c5cb43692af8a5b4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-07T18:24:46Z","title_canon_sha256":"0cc842da6c5e04f4ffdf8ae8da575f4c9d91bfd5f4b553197f5112bf76656052"},"schema_version":"1.0","source":{"id":"2206.03529","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03529","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03529v1","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03529","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"pith_short_12","alias_value":"5OJRVABTGUQA","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"pith_short_16","alias_value":"5OJRVABTGUQAABRB","created_at":"2026-07-05T04:30:10Z"},{"alias_kind":"pith_short_8","alias_value":"5OJRVABT","created_at":"2026-07-05T04:30:10Z"}],"graph_snapshots":[{"event_id":"sha256:49d2fe23d6586630ebb2c5c56ccf422dbca41b2ce197d4bc98d2082269e09af4","target":"graph","created_at":"2026-07-05T04:30:10Z","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/2206.03529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pretrained embeddings based on the Transformer architecture have taken the NLP community by storm. We show that they can mathematically be reframed as a sum of vector factors and showcase how to use this reframing to study the impact of each component. We provide evidence that multi-head attentions and feed-forwards are not equally useful in all downstream applications, as well as a quantitative overview of the effects of finetuning on the overall embedding space. This approach allows us to draw connections to a wide range of previous studies, from vector space anisotropy to attention weights.","authors_text":"Denis Paperno, Mathieu Constant, Timothee Mickus","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-07T18:24:46Z","title":"How to Dissect a Muppet: The Structure of Transformer Embedding Spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03529","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:fef1cb6ccf7c39aa3b8a96b36bda1403ee13e39615c83a70df84ad304eaaed52","target":"record","created_at":"2026-07-05T04:30:10Z","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":"94afefcb25f986e73aaf383bd11373b2f6f826d9c23f4ae8c5cb43692af8a5b4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-07T18:24:46Z","title_canon_sha256":"0cc842da6c5e04f4ffdf8ae8da575f4c9d91bfd5f4b553197f5112bf76656052"},"schema_version":"1.0","source":{"id":"2206.03529","kind":"arxiv","version":1}},"canonical_sha256":"eb931a80333520000621d605b4e6b55ced86b2841185d56f51349104561d33ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb931a80333520000621d605b4e6b55ced86b2841185d56f51349104561d33ea","first_computed_at":"2026-07-05T04:30:10.307492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:30:10.307492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lsCGTISIYu8N4fG4r3mTuf9U2wXhedxqjItgzekA8MTbGt4yVXOfBwKmCZ30WUKrHcEVebk3HtrhiUTjigVTDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:30:10.307889Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.03529","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fef1cb6ccf7c39aa3b8a96b36bda1403ee13e39615c83a70df84ad304eaaed52","sha256:49d2fe23d6586630ebb2c5c56ccf422dbca41b2ce197d4bc98d2082269e09af4"],"state_sha256":"6d209dd59e48b0b0242ed5da0fcdb6a01f8d6799d70b379b31128dde9132b624"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EsKVSsbm4Qif6SzvswfuZlEJXkerNfCITpUYyMQTadMkpDvdGGEuC09WNOa66gnYsuFDMvOZKIdWkzBJ8kMrBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T18:50:17.911458Z","bundle_sha256":"cf99a6560bab6cb6e2808008ed04154549d05e2641e325ed5bdf0a1247aefd61"}}