{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:XCC5XBZAKZDSLHVXB3C76CAAPR","short_pith_number":"pith:XCC5XBZA","canonical_record":{"source":{"id":"2006.11316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-19T18:40:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"a74b79f9e5fa99cb9119f3388e19510ef049d7eb98263a76468c91db07020ae9","abstract_canon_sha256":"55b33be2366fc95955210120016927b5abdb0c3fee95fef41e8187d2b744c037"},"schema_version":"1.0"},"canonical_sha256":"b885db87205647259eb70ec5ff08007c4e5311f4c1604a846691e18a5b668c2c","source":{"kind":"arxiv","id":"2006.11316","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.11316","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"arxiv_version","alias_value":"2006.11316v1","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.11316","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"pith_short_12","alias_value":"XCC5XBZAKZDS","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"pith_short_16","alias_value":"XCC5XBZAKZDSLHVX","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"pith_short_8","alias_value":"XCC5XBZA","created_at":"2026-07-05T01:11:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:XCC5XBZAKZDSLHVXB3C76CAAPR","target":"record","payload":{"canonical_record":{"source":{"id":"2006.11316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-19T18:40:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"a74b79f9e5fa99cb9119f3388e19510ef049d7eb98263a76468c91db07020ae9","abstract_canon_sha256":"55b33be2366fc95955210120016927b5abdb0c3fee95fef41e8187d2b744c037"},"schema_version":"1.0"},"canonical_sha256":"b885db87205647259eb70ec5ff08007c4e5311f4c1604a846691e18a5b668c2c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:11:48.924031Z","signature_b64":"qY0Fto2g4sv4Jox1uUbjTQf4PUWSLiw72n6JjpWpXfDJruUMju6dKQtw3HNk7iuMm4BA61SlHuAT4skX8mdyAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b885db87205647259eb70ec5ff08007c4e5311f4c1604a846691e18a5b668c2c","last_reissued_at":"2026-07-05T01:11:48.923591Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:11:48.923591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.11316","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":"2026-07-05T01:11:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ieaDGHQpV3Xg1VRKSXAjOF9yX8tkc6e18/NSnY7ULdvkX94o0USyV/NB1RnAR3GC29J46hUU/qGJRwPK76ClCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T07:14:07.134644Z"},"content_sha256":"2dccd89509d8166b25f857810d1e08696d4bc8a95eb7aeeca1a7763cbc1c2c46","schema_version":"1.0","event_id":"sha256:2dccd89509d8166b25f857810d1e08696d4bc8a95eb7aeeca1a7763cbc1c2c46"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:XCC5XBZAKZDSLHVXB3C76CAAPR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SqueezeBERT: What can computer vision teach NLP about efficient neural networks?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.CL","authors_text":"Albert E. Shaw, Forrest N. Iandola, Kurt W. Keutzer, Ravi Krishna","submitted_at":"2020-06-19T18:40:29Z","abstract_excerpt":"Humans read and write hundreds of billions of messages every day. Further, due to the availability of large datasets, large computing systems, and better neural network models, natural language processing (NLP) technology has made significant strides in understanding, proofreading, and organizing these messages. Thus, there is a significant opportunity to deploy NLP in myriad applications to help web users, social networks, and businesses. In particular, we consider smartphones and other mobile devices as crucial platforms for deploying NLP models at scale. However, today's highly-accurate NLP"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.11316","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/2006.11316/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":"2026-07-05T01:11:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JXbZ0ja1ekXEno6sXFjxW5DruKzgmnhfp26kcrC6ocZrdLLQL0sbnC3j4QfZfA6COfDENqplamURpSbLQHNPDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T07:14:07.135023Z"},"content_sha256":"185b2d47788055dfa203663c5a33d8c88c0925493626dec80a8df91303b72fb4","schema_version":"1.0","event_id":"sha256:185b2d47788055dfa203663c5a33d8c88c0925493626dec80a8df91303b72fb4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XCC5XBZAKZDSLHVXB3C76CAAPR/bundle.json","state_url":"https://pith.science/pith/XCC5XBZAKZDSLHVXB3C76CAAPR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XCC5XBZAKZDSLHVXB3C76CAAPR/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":"2026-07-26T07:14:07Z","links":{"resolver":"https://pith.science/pith/XCC5XBZAKZDSLHVXB3C76CAAPR","bundle":"https://pith.science/pith/XCC5XBZAKZDSLHVXB3C76CAAPR/bundle.json","state":"https://pith.science/pith/XCC5XBZAKZDSLHVXB3C76CAAPR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XCC5XBZAKZDSLHVXB3C76CAAPR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:XCC5XBZAKZDSLHVXB3C76CAAPR","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":"55b33be2366fc95955210120016927b5abdb0c3fee95fef41e8187d2b744c037","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-19T18:40:29Z","title_canon_sha256":"a74b79f9e5fa99cb9119f3388e19510ef049d7eb98263a76468c91db07020ae9"},"schema_version":"1.0","source":{"id":"2006.11316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.11316","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"arxiv_version","alias_value":"2006.11316v1","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.11316","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"pith_short_12","alias_value":"XCC5XBZAKZDS","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"pith_short_16","alias_value":"XCC5XBZAKZDSLHVX","created_at":"2026-07-05T01:11:48Z"},{"alias_kind":"pith_short_8","alias_value":"XCC5XBZA","created_at":"2026-07-05T01:11:48Z"}],"graph_snapshots":[{"event_id":"sha256:185b2d47788055dfa203663c5a33d8c88c0925493626dec80a8df91303b72fb4","target":"graph","created_at":"2026-07-05T01:11:48Z","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/2006.11316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans read and write hundreds of billions of messages every day. Further, due to the availability of large datasets, large computing systems, and better neural network models, natural language processing (NLP) technology has made significant strides in understanding, proofreading, and organizing these messages. Thus, there is a significant opportunity to deploy NLP in myriad applications to help web users, social networks, and businesses. In particular, we consider smartphones and other mobile devices as crucial platforms for deploying NLP models at scale. However, today's highly-accurate NLP","authors_text":"Albert E. Shaw, Forrest N. Iandola, Kurt W. Keutzer, Ravi Krishna","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-19T18:40:29Z","title":"SqueezeBERT: What can computer vision teach NLP about efficient neural networks?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.11316","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":"sha256:2dccd89509d8166b25f857810d1e08696d4bc8a95eb7aeeca1a7763cbc1c2c46","target":"record","created_at":"2026-07-05T01:11:48Z","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":"55b33be2366fc95955210120016927b5abdb0c3fee95fef41e8187d2b744c037","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-06-19T18:40:29Z","title_canon_sha256":"a74b79f9e5fa99cb9119f3388e19510ef049d7eb98263a76468c91db07020ae9"},"schema_version":"1.0","source":{"id":"2006.11316","kind":"arxiv","version":1}},"canonical_sha256":"b885db87205647259eb70ec5ff08007c4e5311f4c1604a846691e18a5b668c2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b885db87205647259eb70ec5ff08007c4e5311f4c1604a846691e18a5b668c2c","first_computed_at":"2026-07-05T01:11:48.923591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:11:48.923591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qY0Fto2g4sv4Jox1uUbjTQf4PUWSLiw72n6JjpWpXfDJruUMju6dKQtw3HNk7iuMm4BA61SlHuAT4skX8mdyAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:11:48.924031Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.11316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2dccd89509d8166b25f857810d1e08696d4bc8a95eb7aeeca1a7763cbc1c2c46","sha256:185b2d47788055dfa203663c5a33d8c88c0925493626dec80a8df91303b72fb4"],"state_sha256":"6027575890dab49bcd488965cfa84db1fca04ac48e4c73453a8dbccefb096895"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C6XiVJAKqO7mTBgALFOLMOoklvwS+bcWBS7Y8Il66ZSISFf6KL9CaPUBWshiSQKPYmsy987GYHS4MNb+w4SIDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T07:14:07.137221Z","bundle_sha256":"beea308b795e5dc4c538bc124b36cf9d190e4c6c4965190421648379d202009d"}}