{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WWZUVLJIXCSBYPGXKDDHRSRWBH","short_pith_number":"pith:WWZUVLJI","canonical_record":{"source":{"id":"2402.02622","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-04T21:44:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4384b922d2aff2e4f63175de4baad71d627ba7c49863bdcc0a2b07dd37a81e33","abstract_canon_sha256":"ef659e5dc8b9658f73f50417b28e4657b8469675b5572ab66da2d60ca21e416a"},"schema_version":"1.0"},"canonical_sha256":"b5b34aad28b8a41c3cd750c678ca3609f3c79d77c3cbe6794e8a6967d3b4c11f","source":{"kind":"arxiv","id":"2402.02622","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02622","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02622v2","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02622","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"pith_short_12","alias_value":"WWZUVLJIXCSB","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"pith_short_16","alias_value":"WWZUVLJIXCSBYPGX","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"pith_short_8","alias_value":"WWZUVLJI","created_at":"2026-07-05T07:59:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WWZUVLJIXCSBYPGXKDDHRSRWBH","target":"record","payload":{"canonical_record":{"source":{"id":"2402.02622","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-04T21:44:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4384b922d2aff2e4f63175de4baad71d627ba7c49863bdcc0a2b07dd37a81e33","abstract_canon_sha256":"ef659e5dc8b9658f73f50417b28e4657b8469675b5572ab66da2d60ca21e416a"},"schema_version":"1.0"},"canonical_sha256":"b5b34aad28b8a41c3cd750c678ca3609f3c79d77c3cbe6794e8a6967d3b4c11f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:04.904723Z","signature_b64":"RXz65sjWuwrx+n3u2MSXDc61bGAjIWJCVthw+0pSRlUFATLlYyRgw7f2pDnBx5rvrf4W9exHXGrOpWT9GhnZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5b34aad28b8a41c3cd750c678ca3609f3c79d77c3cbe6794e8a6967d3b4c11f","last_reissued_at":"2026-07-05T07:59:04.904258Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:04.904258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.02622","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":"2026-07-05T07:59:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lOVNl19cDFoKWYmyQ7cBLjjvvWGOcyOcmRnK47FxZLg3RVGEosCWl9gBi8J2jYsEvIqKolyjif6Hh6Idq86HCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:31:21.273344Z"},"content_sha256":"62becc44ba01ec057784309d61bfd8e00fd780f6dd4841ada570d7cd286968b2","schema_version":"1.0","event_id":"sha256:62becc44ba01ec057784309d61bfd8e00fd780f6dd4841ada570d7cd286968b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WWZUVLJIXCSBYPGXKDDHRSRWBH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi, Matteo Pagliardini","submitted_at":"2024-02-04T21:44:09Z","abstract_excerpt":"The transformer architecture by Vaswani et al. (2017) is now ubiquitous across application domains, from natural language processing to speech processing and image understanding. We propose DenseFormer, a simple modification to the standard architecture that improves the perplexity of the model without increasing its size -- adding a few thousand parameters for large-scale models in the 100B parameters range. Our approach relies on an additional averaging step after each transformer block, which computes a weighted average of current and past representations -- we refer to this operation as De"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02622","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/2402.02622/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":"2026-07-05T07:59:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/YLvUTgl+sVbAtazgUeicS7SfE/wlmMwC5v9znYd3HeWUdxubm0lQeerJ661OPDycaf4vrK9TTGfM6anHDwdBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:31:21.273859Z"},"content_sha256":"51ae915416ded1796f1e8a9884bc97b8660d4b9448c880d23b9dea02b236dc90","schema_version":"1.0","event_id":"sha256:51ae915416ded1796f1e8a9884bc97b8660d4b9448c880d23b9dea02b236dc90"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH/bundle.json","state_url":"https://pith.science/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH/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":"2026-08-05T18:31:21Z","links":{"resolver":"https://pith.science/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH","bundle":"https://pith.science/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH/bundle.json","state":"https://pith.science/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WWZUVLJIXCSBYPGXKDDHRSRWBH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WWZUVLJIXCSBYPGXKDDHRSRWBH","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":"ef659e5dc8b9658f73f50417b28e4657b8469675b5572ab66da2d60ca21e416a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-04T21:44:09Z","title_canon_sha256":"4384b922d2aff2e4f63175de4baad71d627ba7c49863bdcc0a2b07dd37a81e33"},"schema_version":"1.0","source":{"id":"2402.02622","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02622","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02622v2","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02622","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"pith_short_12","alias_value":"WWZUVLJIXCSB","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"pith_short_16","alias_value":"WWZUVLJIXCSBYPGX","created_at":"2026-07-05T07:59:04Z"},{"alias_kind":"pith_short_8","alias_value":"WWZUVLJI","created_at":"2026-07-05T07:59:04Z"}],"graph_snapshots":[{"event_id":"sha256:51ae915416ded1796f1e8a9884bc97b8660d4b9448c880d23b9dea02b236dc90","target":"graph","created_at":"2026-07-05T07:59:04Z","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/2402.02622/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The transformer architecture by Vaswani et al. (2017) is now ubiquitous across application domains, from natural language processing to speech processing and image understanding. We propose DenseFormer, a simple modification to the standard architecture that improves the perplexity of the model without increasing its size -- adding a few thousand parameters for large-scale models in the 100B parameters range. Our approach relies on an additional averaging step after each transformer block, which computes a weighted average of current and past representations -- we refer to this operation as De","authors_text":"Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi, Matteo Pagliardini","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-04T21:44:09Z","title":"DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02622","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":"sha256:62becc44ba01ec057784309d61bfd8e00fd780f6dd4841ada570d7cd286968b2","target":"record","created_at":"2026-07-05T07:59:04Z","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":"ef659e5dc8b9658f73f50417b28e4657b8469675b5572ab66da2d60ca21e416a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-04T21:44:09Z","title_canon_sha256":"4384b922d2aff2e4f63175de4baad71d627ba7c49863bdcc0a2b07dd37a81e33"},"schema_version":"1.0","source":{"id":"2402.02622","kind":"arxiv","version":2}},"canonical_sha256":"b5b34aad28b8a41c3cd750c678ca3609f3c79d77c3cbe6794e8a6967d3b4c11f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5b34aad28b8a41c3cd750c678ca3609f3c79d77c3cbe6794e8a6967d3b4c11f","first_computed_at":"2026-07-05T07:59:04.904258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:04.904258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RXz65sjWuwrx+n3u2MSXDc61bGAjIWJCVthw+0pSRlUFATLlYyRgw7f2pDnBx5rvrf4W9exHXGrOpWT9GhnZDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:04.904723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.02622","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62becc44ba01ec057784309d61bfd8e00fd780f6dd4841ada570d7cd286968b2","sha256:51ae915416ded1796f1e8a9884bc97b8660d4b9448c880d23b9dea02b236dc90"],"state_sha256":"20d61f5b6902de5a29ea0b713fcd219ca73f365e45ccc5978989868dbe0ba85f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mbcOLA2/JKsaszaPasayQLDluzeINwvIm6ARSGJWv78X9P3xGdjQXH2ONgYIc48LsMdx04ZYnLsdu6Z0AiSdAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:31:21.279171Z","bundle_sha256":"d3ac318f7af0e4ee2318aff5e79a273e39edbb46b9f6fc53527b09ed2d8da7d0"}}