{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:WU3WI4P7DSTKZC64JH3ES4XGKB","short_pith_number":"pith:WU3WI4P7","canonical_record":{"source":{"id":"2210.13810","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-25T07:36:55Z","cross_cats_sorted":[],"title_canon_sha256":"0a891daac5cfd7e7966dc0aa06d4deb268f3818ddc3ea162f67d4f87add0f9a0","abstract_canon_sha256":"5519f5ef0357266fe7470dc7aaec0e3cb389c97dc5a82dc04ed9560f91a28532"},"schema_version":"1.0"},"canonical_sha256":"b5376471ff1ca6ac8bdc49f64972e6506295cc28648950fa2fe9c0dd47c11295","source":{"kind":"arxiv","id":"2210.13810","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13810","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13810v1","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13810","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"pith_short_12","alias_value":"WU3WI4P7DSTK","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"pith_short_16","alias_value":"WU3WI4P7DSTKZC64","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"pith_short_8","alias_value":"WU3WI4P7","created_at":"2026-07-05T05:10:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:WU3WI4P7DSTKZC64JH3ES4XGKB","target":"record","payload":{"canonical_record":{"source":{"id":"2210.13810","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-25T07:36:55Z","cross_cats_sorted":[],"title_canon_sha256":"0a891daac5cfd7e7966dc0aa06d4deb268f3818ddc3ea162f67d4f87add0f9a0","abstract_canon_sha256":"5519f5ef0357266fe7470dc7aaec0e3cb389c97dc5a82dc04ed9560f91a28532"},"schema_version":"1.0"},"canonical_sha256":"b5376471ff1ca6ac8bdc49f64972e6506295cc28648950fa2fe9c0dd47c11295","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:22.759476Z","signature_b64":"VxvdMK577z1FjkoGvpqhHBRmQ0eH9AehBAKB4OIyX+dqkcIHTAFJB15mARsLpbKGU60OrIDSbqdu9mjmGr26DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5376471ff1ca6ac8bdc49f64972e6506295cc28648950fa2fe9c0dd47c11295","last_reissued_at":"2026-07-05T05:10:22.758882Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:22.758882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.13810","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":"2026-07-05T05:10:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OTOFg29Vmqs3T9gnD5zSlHVLuRqsd6WvVWJyLpUStpfZJ+jPycJmSh/z0755cuLynQ1ajg4REQsqUloPRVYvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:51:36.130721Z"},"content_sha256":"c6c6494e0a105c7bfadf2e4967d7e3f8997318a051cfd294752c7aadfd3b6c84","schema_version":"1.0","event_id":"sha256:c6c6494e0a105c7bfadf2e4967d7e3f8997318a051cfd294752c7aadfd3b6c84"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:WU3WI4P7DSTKZC64JH3ES4XGKB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Toward domain generalized pruning by scoring out-of-distribution importance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alex Kot, Haoliang Li, Rizhao Cai","submitted_at":"2022-10-25T07:36:55Z","abstract_excerpt":"Filter pruning has been widely used for compressing convolutional neural networks to reduce computation costs during the deployment stage. Recent studies have shown that filter pruning techniques can achieve lossless compression of deep neural networks, reducing redundant filters (kernels) without sacrificing accuracy performance. However, the evaluation is done when the training and testing data are from similar environmental conditions (independent and identically distributed), and how the filter pruning techniques would affect the cross-domain generalization (out-of-distribution) performanc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13810","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/2210.13810/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":"2026-07-05T05:10:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3NimiyVyaeCEywIAvrxBVlZeX8i6XZwXgm+FMFwSreJ3SyCdAa5gYVC8H3ESoEL2heaLKnenDbKjz1GfK2jDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:51:36.131279Z"},"content_sha256":"af98b8d68df468ad0a69587903ea7f2288080a7340d420d581df28be63736163","schema_version":"1.0","event_id":"sha256:af98b8d68df468ad0a69587903ea7f2288080a7340d420d581df28be63736163"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WU3WI4P7DSTKZC64JH3ES4XGKB/bundle.json","state_url":"https://pith.science/pith/WU3WI4P7DSTKZC64JH3ES4XGKB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WU3WI4P7DSTKZC64JH3ES4XGKB/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":"2026-08-21T03:51:36Z","links":{"resolver":"https://pith.science/pith/WU3WI4P7DSTKZC64JH3ES4XGKB","bundle":"https://pith.science/pith/WU3WI4P7DSTKZC64JH3ES4XGKB/bundle.json","state":"https://pith.science/pith/WU3WI4P7DSTKZC64JH3ES4XGKB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WU3WI4P7DSTKZC64JH3ES4XGKB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WU3WI4P7DSTKZC64JH3ES4XGKB","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":"5519f5ef0357266fe7470dc7aaec0e3cb389c97dc5a82dc04ed9560f91a28532","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-25T07:36:55Z","title_canon_sha256":"0a891daac5cfd7e7966dc0aa06d4deb268f3818ddc3ea162f67d4f87add0f9a0"},"schema_version":"1.0","source":{"id":"2210.13810","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13810","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13810v1","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13810","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"pith_short_12","alias_value":"WU3WI4P7DSTK","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"pith_short_16","alias_value":"WU3WI4P7DSTKZC64","created_at":"2026-07-05T05:10:22Z"},{"alias_kind":"pith_short_8","alias_value":"WU3WI4P7","created_at":"2026-07-05T05:10:22Z"}],"graph_snapshots":[{"event_id":"sha256:af98b8d68df468ad0a69587903ea7f2288080a7340d420d581df28be63736163","target":"graph","created_at":"2026-07-05T05:10:22Z","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/2210.13810/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Filter pruning has been widely used for compressing convolutional neural networks to reduce computation costs during the deployment stage. Recent studies have shown that filter pruning techniques can achieve lossless compression of deep neural networks, reducing redundant filters (kernels) without sacrificing accuracy performance. However, the evaluation is done when the training and testing data are from similar environmental conditions (independent and identically distributed), and how the filter pruning techniques would affect the cross-domain generalization (out-of-distribution) performanc","authors_text":"Alex Kot, Haoliang Li, Rizhao Cai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-25T07:36:55Z","title":"Toward domain generalized pruning by scoring out-of-distribution importance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13810","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:c6c6494e0a105c7bfadf2e4967d7e3f8997318a051cfd294752c7aadfd3b6c84","target":"record","created_at":"2026-07-05T05:10:22Z","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":"5519f5ef0357266fe7470dc7aaec0e3cb389c97dc5a82dc04ed9560f91a28532","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-25T07:36:55Z","title_canon_sha256":"0a891daac5cfd7e7966dc0aa06d4deb268f3818ddc3ea162f67d4f87add0f9a0"},"schema_version":"1.0","source":{"id":"2210.13810","kind":"arxiv","version":1}},"canonical_sha256":"b5376471ff1ca6ac8bdc49f64972e6506295cc28648950fa2fe9c0dd47c11295","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5376471ff1ca6ac8bdc49f64972e6506295cc28648950fa2fe9c0dd47c11295","first_computed_at":"2026-07-05T05:10:22.758882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:22.758882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VxvdMK577z1FjkoGvpqhHBRmQ0eH9AehBAKB4OIyX+dqkcIHTAFJB15mARsLpbKGU60OrIDSbqdu9mjmGr26DA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:22.759476Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.13810","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6c6494e0a105c7bfadf2e4967d7e3f8997318a051cfd294752c7aadfd3b6c84","sha256:af98b8d68df468ad0a69587903ea7f2288080a7340d420d581df28be63736163"],"state_sha256":"562b536f0dc8653a40e71f85b414ecefeec119d286f4926a4a911eec68c5a035"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UhMTPTQKQvhMbZOMlx/xdl8NcyivElfGULtUxgDu3eqV2Oq08Tw0F1CzybcU3Ythdfg8xO6HoNAYj9wdJWQuAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:51:36.136471Z","bundle_sha256":"ae196e90fb1b2434593cbb37ef0b1672ab4f0c005f4482c271364f1ac66384c7"}}