{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:K6QV5VPQO3FV4BKXECSG6FORES","short_pith_number":"pith:K6QV5VPQ","canonical_record":{"source":{"id":"2007.05667","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-11T02:51:40Z","cross_cats_sorted":[],"title_canon_sha256":"03bb01597727f7cc3f30eeef4eb4b12c8117977b8fc2733a6272d0ca9da24d44","abstract_canon_sha256":"7f385237523ff75d0f5f1a1956dd59cc153e6014f090de519a8789ae21e055b2"},"schema_version":"1.0"},"canonical_sha256":"57a15ed5f076cb5e055720a46f15d12485011c5d00bf0dd43f5d7477b2cb2504","source":{"kind":"arxiv","id":"2007.05667","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.05667","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"arxiv_version","alias_value":"2007.05667v3","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.05667","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"pith_short_12","alias_value":"K6QV5VPQO3FV","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"pith_short_16","alias_value":"K6QV5VPQO3FV4BKX","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"pith_short_8","alias_value":"K6QV5VPQ","created_at":"2026-07-05T01:49:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:K6QV5VPQO3FV4BKXECSG6FORES","target":"record","payload":{"canonical_record":{"source":{"id":"2007.05667","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-11T02:51:40Z","cross_cats_sorted":[],"title_canon_sha256":"03bb01597727f7cc3f30eeef4eb4b12c8117977b8fc2733a6272d0ca9da24d44","abstract_canon_sha256":"7f385237523ff75d0f5f1a1956dd59cc153e6014f090de519a8789ae21e055b2"},"schema_version":"1.0"},"canonical_sha256":"57a15ed5f076cb5e055720a46f15d12485011c5d00bf0dd43f5d7477b2cb2504","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:49:53.173249Z","signature_b64":"PGGC97r/lhCG6DjA393Nf16qvkOVKtU5Bf3Nl5yxJZjvi88Dlv8gQlhWPq0qQ/rzkL9Wjz7B0jKdbsmmXlP+Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"57a15ed5f076cb5e055720a46f15d12485011c5d00bf0dd43f5d7477b2cb2504","last_reissued_at":"2026-07-05T01:49:53.172884Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:49:53.172884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.05667","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:49:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6U9kQhUKnf7skSOpFc6V70+5GQYDW2h7/HT91rI6K9vdssHxBMab8Oo3QGWMg8qxDw+M+BFZ5A+LCB2WuvX0BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:09:35.267267Z"},"content_sha256":"e23361217d3fede4ffbd9dcdeaab6553d79f1bb6e074bebbc12eef97eb0f6c95","schema_version":"1.0","event_id":"sha256:e23361217d3fede4ffbd9dcdeaab6553d79f1bb6e074bebbc12eef97eb0f6c95"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:K6QV5VPQO3FV4BKXECSG6FORES","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"To Filter Prune, or to Layer Prune, That Is The Question","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abhineet Singh, Hong Zhang, Mostafa Elhoushi, Nilanjan Ray, Sara Elkerdawy","submitted_at":"2020-07-11T02:51:40Z","abstract_excerpt":"Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameters and that of FLOPs are usually the reported metrics to measure the quality of the pruned models. However, the gain in speed for these pruned models is often overlooked in the literature due to the complex nature of latency measurements. In this paper, we show the limitation of filter pruning methods in terms of latency reduction and propose LayerPrune framework. LayerPrune presents a set of layer pruning methods bas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.05667","kind":"arxiv","version":3},"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/2007.05667/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":"2026-07-05T01:49:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WvcElnMygjM7n/oCbDizdX6RVsrNjnD9RZpFmOybvD/DePX7yPZ6NWGR+nsuobt+8waJbH4ArBIDjmheKvlyDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:09:35.267658Z"},"content_sha256":"482e58b7c7d2819ffe6d4e722bf295064b1d5c3ae260232a9db785fa9b649f38","schema_version":"1.0","event_id":"sha256:482e58b7c7d2819ffe6d4e722bf295064b1d5c3ae260232a9db785fa9b649f38"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K6QV5VPQO3FV4BKXECSG6FORES/bundle.json","state_url":"https://pith.science/pith/K6QV5VPQO3FV4BKXECSG6FORES/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K6QV5VPQO3FV4BKXECSG6FORES/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":"2026-07-07T07:09:35Z","links":{"resolver":"https://pith.science/pith/K6QV5VPQO3FV4BKXECSG6FORES","bundle":"https://pith.science/pith/K6QV5VPQO3FV4BKXECSG6FORES/bundle.json","state":"https://pith.science/pith/K6QV5VPQO3FV4BKXECSG6FORES/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K6QV5VPQO3FV4BKXECSG6FORES/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:K6QV5VPQO3FV4BKXECSG6FORES","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":"7f385237523ff75d0f5f1a1956dd59cc153e6014f090de519a8789ae21e055b2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-11T02:51:40Z","title_canon_sha256":"03bb01597727f7cc3f30eeef4eb4b12c8117977b8fc2733a6272d0ca9da24d44"},"schema_version":"1.0","source":{"id":"2007.05667","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.05667","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"arxiv_version","alias_value":"2007.05667v3","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.05667","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"pith_short_12","alias_value":"K6QV5VPQO3FV","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"pith_short_16","alias_value":"K6QV5VPQO3FV4BKX","created_at":"2026-07-05T01:49:53Z"},{"alias_kind":"pith_short_8","alias_value":"K6QV5VPQ","created_at":"2026-07-05T01:49:53Z"}],"graph_snapshots":[{"event_id":"sha256:482e58b7c7d2819ffe6d4e722bf295064b1d5c3ae260232a9db785fa9b649f38","target":"graph","created_at":"2026-07-05T01:49:53Z","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/2007.05667/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in pruning of neural networks have made it possible to remove a large number of filters or weights without any perceptible drop in accuracy. The number of parameters and that of FLOPs are usually the reported metrics to measure the quality of the pruned models. However, the gain in speed for these pruned models is often overlooked in the literature due to the complex nature of latency measurements. In this paper, we show the limitation of filter pruning methods in terms of latency reduction and propose LayerPrune framework. LayerPrune presents a set of layer pruning methods bas","authors_text":"Abhineet Singh, Hong Zhang, Mostafa Elhoushi, Nilanjan Ray, Sara Elkerdawy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-11T02:51:40Z","title":"To Filter Prune, or to Layer Prune, That Is The Question"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.05667","kind":"arxiv","version":3},"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:e23361217d3fede4ffbd9dcdeaab6553d79f1bb6e074bebbc12eef97eb0f6c95","target":"record","created_at":"2026-07-05T01:49:53Z","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":"7f385237523ff75d0f5f1a1956dd59cc153e6014f090de519a8789ae21e055b2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-11T02:51:40Z","title_canon_sha256":"03bb01597727f7cc3f30eeef4eb4b12c8117977b8fc2733a6272d0ca9da24d44"},"schema_version":"1.0","source":{"id":"2007.05667","kind":"arxiv","version":3}},"canonical_sha256":"57a15ed5f076cb5e055720a46f15d12485011c5d00bf0dd43f5d7477b2cb2504","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57a15ed5f076cb5e055720a46f15d12485011c5d00bf0dd43f5d7477b2cb2504","first_computed_at":"2026-07-05T01:49:53.172884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:49:53.172884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PGGC97r/lhCG6DjA393Nf16qvkOVKtU5Bf3Nl5yxJZjvi88Dlv8gQlhWPq0qQ/rzkL9Wjz7B0jKdbsmmXlP+Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:49:53.173249Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.05667","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e23361217d3fede4ffbd9dcdeaab6553d79f1bb6e074bebbc12eef97eb0f6c95","sha256:482e58b7c7d2819ffe6d4e722bf295064b1d5c3ae260232a9db785fa9b649f38"],"state_sha256":"105bdc9c25579e35dba344c1e525809aa2e1f79048ec4ebf94e56c95c2c83216"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u/j6iMs/GgnroBGhotC08xzggRJA7upmdkAFjK+M5tolhULcF+vwCVSIF6d7AO7kg2cI7/4+5tID7JLx3K6gAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:09:35.269727Z","bundle_sha256":"c85e8100ba2da08537ae320fad3c0f42da78aa90eca2534c1f2da34d2abf9814"}}