{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:36HPYSWP2EBEDDJXCX7QJPNJJU","short_pith_number":"pith:36HPYSWP","canonical_record":{"source":{"id":"2312.00851","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:25:16Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"4787cfeb851787d18dc00d9908379a4ac36901f43771a172e5d9e272133932d0","abstract_canon_sha256":"7713969cc93fece7fc307280846daeaac49f7752f33589a6b697eecc198d6fce"},"schema_version":"1.0"},"canonical_sha256":"df8efc4acfd102418d3715ff04bda94d1534e01554f01a707d0e3464d285f68a","source":{"kind":"arxiv","id":"2312.00851","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.00851","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.00851v2","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00851","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_12","alias_value":"36HPYSWP2EBE","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_16","alias_value":"36HPYSWP2EBEDDJX","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_8","alias_value":"36HPYSWP","created_at":"2026-07-05T08:27:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:36HPYSWP2EBEDDJXCX7QJPNJJU","target":"record","payload":{"canonical_record":{"source":{"id":"2312.00851","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:25:16Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"4787cfeb851787d18dc00d9908379a4ac36901f43771a172e5d9e272133932d0","abstract_canon_sha256":"7713969cc93fece7fc307280846daeaac49f7752f33589a6b697eecc198d6fce"},"schema_version":"1.0"},"canonical_sha256":"df8efc4acfd102418d3715ff04bda94d1534e01554f01a707d0e3464d285f68a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:00.746278Z","signature_b64":"VptDHz2WXBlPeHFwari80JmFOYhTly/fYHeX2cq7Xrk51602UakhWZ50rGy+icRBEm6IpbCzfCzGeZ4/bcmLBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df8efc4acfd102418d3715ff04bda94d1534e01554f01a707d0e3464d285f68a","last_reissued_at":"2026-07-05T08:27:00.745794Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:00.745794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.00851","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":"2026-07-05T08:27:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CT7d+Or1VxcohYrW0MnAkQ8FwE0jY0zXUNiSTBlwFzyFD5xXn4TQyTSVD6Owb2wW9LfFk1AvOQu0tKak4RfUCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:16:26.785497Z"},"content_sha256":"f26ec100c8ade052cc5c17cd47d8f1a4210e22ddfbf5909b8f9993947c655f74","schema_version":"1.0","event_id":"sha256:f26ec100c8ade052cc5c17cd47d8f1a4210e22ddfbf5909b8f9993947c655f74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:36HPYSWP2EBEDDJXCX7QJPNJJU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics Inspired Criterion for Pruning-Quantization Joint Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Jie Lei, Leyuan Fang, Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li","submitted_at":"2023-12-01T13:25:16Z","abstract_excerpt":"Pruning-quantization joint learning always facilitates the deployment of deep neural networks (DNNs) on resource-constrained edge devices. However, most existing methods do not jointly learn a global criterion for pruning and quantization in an interpretable way. In this paper, we propose a novel physics inspired criterion for pruning-quantization joint learning (PIC-PQ), which is explored from an analogy we first draw between elasticity dynamics (ED) and model compression (MC). Specifically, derived from Hooke's law in ED, we establish a linear relationship between the filters' importance dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00851","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/2312.00851/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":"2026-07-05T08:27:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fnl3A/UBlDKUvvMXdSEXJGcGct3CoDOk3hc9eQMljOjvNMt9cL7yo49VCd860x/kwm2YncwFrqDrL2DAxFqkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:16:26.785999Z"},"content_sha256":"888a5f8519a69cd3fa025fe9f95041bfb7e9cd13e9e64b7f47ce3506152aa961","schema_version":"1.0","event_id":"sha256:888a5f8519a69cd3fa025fe9f95041bfb7e9cd13e9e64b7f47ce3506152aa961"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/36HPYSWP2EBEDDJXCX7QJPNJJU/bundle.json","state_url":"https://pith.science/pith/36HPYSWP2EBEDDJXCX7QJPNJJU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/36HPYSWP2EBEDDJXCX7QJPNJJU/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":"2026-08-11T06:16:26Z","links":{"resolver":"https://pith.science/pith/36HPYSWP2EBEDDJXCX7QJPNJJU","bundle":"https://pith.science/pith/36HPYSWP2EBEDDJXCX7QJPNJJU/bundle.json","state":"https://pith.science/pith/36HPYSWP2EBEDDJXCX7QJPNJJU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/36HPYSWP2EBEDDJXCX7QJPNJJU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:36HPYSWP2EBEDDJXCX7QJPNJJU","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":"7713969cc93fece7fc307280846daeaac49f7752f33589a6b697eecc198d6fce","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:25:16Z","title_canon_sha256":"4787cfeb851787d18dc00d9908379a4ac36901f43771a172e5d9e272133932d0"},"schema_version":"1.0","source":{"id":"2312.00851","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.00851","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.00851v2","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00851","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_12","alias_value":"36HPYSWP2EBE","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_16","alias_value":"36HPYSWP2EBEDDJX","created_at":"2026-07-05T08:27:00Z"},{"alias_kind":"pith_short_8","alias_value":"36HPYSWP","created_at":"2026-07-05T08:27:00Z"}],"graph_snapshots":[{"event_id":"sha256:888a5f8519a69cd3fa025fe9f95041bfb7e9cd13e9e64b7f47ce3506152aa961","target":"graph","created_at":"2026-07-05T08:27:00Z","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/2312.00851/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pruning-quantization joint learning always facilitates the deployment of deep neural networks (DNNs) on resource-constrained edge devices. However, most existing methods do not jointly learn a global criterion for pruning and quantization in an interpretable way. In this paper, we propose a novel physics inspired criterion for pruning-quantization joint learning (PIC-PQ), which is explored from an analogy we first draw between elasticity dynamics (ED) and model compression (MC). Specifically, derived from Hooke's law in ED, we establish a linear relationship between the filters' importance dis","authors_text":"Jie Lei, Leyuan Fang, Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:25:16Z","title":"Physics Inspired Criterion for Pruning-Quantization Joint Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00851","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:f26ec100c8ade052cc5c17cd47d8f1a4210e22ddfbf5909b8f9993947c655f74","target":"record","created_at":"2026-07-05T08:27:00Z","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":"7713969cc93fece7fc307280846daeaac49f7752f33589a6b697eecc198d6fce","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:25:16Z","title_canon_sha256":"4787cfeb851787d18dc00d9908379a4ac36901f43771a172e5d9e272133932d0"},"schema_version":"1.0","source":{"id":"2312.00851","kind":"arxiv","version":2}},"canonical_sha256":"df8efc4acfd102418d3715ff04bda94d1534e01554f01a707d0e3464d285f68a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df8efc4acfd102418d3715ff04bda94d1534e01554f01a707d0e3464d285f68a","first_computed_at":"2026-07-05T08:27:00.745794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:00.745794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VptDHz2WXBlPeHFwari80JmFOYhTly/fYHeX2cq7Xrk51602UakhWZ50rGy+icRBEm6IpbCzfCzGeZ4/bcmLBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:00.746278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.00851","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f26ec100c8ade052cc5c17cd47d8f1a4210e22ddfbf5909b8f9993947c655f74","sha256:888a5f8519a69cd3fa025fe9f95041bfb7e9cd13e9e64b7f47ce3506152aa961"],"state_sha256":"980d49cbc6d6bcc8c851771347690cf263d444f238fbfdf5227223a72175f74c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1C+p74i4eqyWnLvMZC4am9aVQDoYth/+cuiRWJwwf7X02e/q31OD24PsxaAgfxRRKTsrF/Y+9tJaTxpsue2oDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:16:26.791269Z","bundle_sha256":"b2fc0b8f61e680d9912f4de7ad295dcc32c4eb585f96dd767d944d040de090b1"}}