{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CLVW5OCJZK4XRBHMIXVZQMQEXL","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":"67b2bc13cbb01d4a3050395f7df578f1dd68dd323979534353268243f59722fc","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-16T11:45:35Z","title_canon_sha256":"87c09c53d60614c2ed7faecc810168dfd1730f90c289ac920121c587da69aae2"},"schema_version":"1.0","source":{"id":"2307.08013","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.08013","created_at":"2026-07-05T07:02:52Z"},{"alias_kind":"arxiv_version","alias_value":"2307.08013v2","created_at":"2026-07-05T07:02:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08013","created_at":"2026-07-05T07:02:52Z"},{"alias_kind":"pith_short_12","alias_value":"CLVW5OCJZK4X","created_at":"2026-07-05T07:02:52Z"},{"alias_kind":"pith_short_16","alias_value":"CLVW5OCJZK4XRBHM","created_at":"2026-07-05T07:02:52Z"},{"alias_kind":"pith_short_8","alias_value":"CLVW5OCJ","created_at":"2026-07-05T07:02:52Z"}],"graph_snapshots":[{"event_id":"sha256:5c926848941a19011e75aa3acc9c0a3796baf537fac196fb3f1f5644c6861d44","target":"graph","created_at":"2026-07-05T07:02:52Z","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/2307.08013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit models such as Deep Equilibrium Models (DEQs) have garnered significant attention in the community for their ability to train infinite layer models with elegant solution-finding procedures and constant memory footprint. However, despite several attempts, these methods are heavily constrained by model inefficiency and optimization instability. Furthermore, fair benchmarking across relevant methods for vision tasks is missing. In this work, we revisit the line of implicit models and trace them back to the original weight-tied models. Surprisingly, we observe that weight-tied models are ","authors_text":"Haobo Song, Soumajit Majumder, Tao Lin","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-16T11:45:35Z","title":"Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08013","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":"sha256:84e28db5945f18a9301f182a6c4e1e80ccccf07252c57fd1bf103c0d5f4c2346","target":"record","created_at":"2026-07-05T07:02:52Z","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":"67b2bc13cbb01d4a3050395f7df578f1dd68dd323979534353268243f59722fc","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-16T11:45:35Z","title_canon_sha256":"87c09c53d60614c2ed7faecc810168dfd1730f90c289ac920121c587da69aae2"},"schema_version":"1.0","source":{"id":"2307.08013","kind":"arxiv","version":2}},"canonical_sha256":"12eb6eb849cab97884ec45eb983204baf4bfc5d6e469edc3a20ca8607e28ecce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12eb6eb849cab97884ec45eb983204baf4bfc5d6e469edc3a20ca8607e28ecce","first_computed_at":"2026-07-05T07:02:52.238031Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:52.238031Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oMQOXYpMbyg6G/BJFK6dwB5N180a3gp9TcIgnWSjcGHLaMZ15HPFTcw4Y6tezcm2h77kk7PCoZd5H8NnfXzHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:52.238654Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.08013","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:84e28db5945f18a9301f182a6c4e1e80ccccf07252c57fd1bf103c0d5f4c2346","sha256:5c926848941a19011e75aa3acc9c0a3796baf537fac196fb3f1f5644c6861d44"],"state_sha256":"988b1fd4ea09fd2474086eed510b741e523e1ccdd96143271c4731a88ffe86b9"}