{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RFK74ANEHJFYLT7AODWEILCVML","short_pith_number":"pith:RFK74ANE","canonical_record":{"source":{"id":"2312.02224","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-03T22:05:05Z","cross_cats_sorted":[],"title_canon_sha256":"6b036053bc3e9a82506f4bfde8e5ab47a0d090b0cd9d8d7e0e90c406fb587302","abstract_canon_sha256":"4ebe600fa1ae029590e3125f3fdf0e3687e5f61d7c3492f93daae36c1b4ebf67"},"schema_version":"1.0"},"canonical_sha256":"8955fe01a43a4b85cfe070ec442c5562f2f73571806ec711a1917d71840dcfc7","source":{"kind":"arxiv","id":"2312.02224","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.02224","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"arxiv_version","alias_value":"2312.02224v3","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.02224","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"pith_short_12","alias_value":"RFK74ANEHJFY","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"RFK74ANEHJFYLT7A","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"RFK74ANE","created_at":"2026-07-05T09:28:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RFK74ANEHJFYLT7AODWEILCVML","target":"record","payload":{"canonical_record":{"source":{"id":"2312.02224","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-03T22:05:05Z","cross_cats_sorted":[],"title_canon_sha256":"6b036053bc3e9a82506f4bfde8e5ab47a0d090b0cd9d8d7e0e90c406fb587302","abstract_canon_sha256":"4ebe600fa1ae029590e3125f3fdf0e3687e5f61d7c3492f93daae36c1b4ebf67"},"schema_version":"1.0"},"canonical_sha256":"8955fe01a43a4b85cfe070ec442c5562f2f73571806ec711a1917d71840dcfc7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:46.434710Z","signature_b64":"HRYug+J0okot498IGx2Z38i6S5S3nzwNw0OSERi4h3uO0/ZdyYe8FEVzvSk+kvaIDRJt49uyJd9xd3STGZZ2CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8955fe01a43a4b85cfe070ec442c5562f2f73571806ec711a1917d71840dcfc7","last_reissued_at":"2026-07-05T09:28:46.434196Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:46.434196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.02224","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":"2026-07-05T09:28:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZcIBtYMA393ALhbMhIjUpApx/XRLMRdKMEVBQRM9vmV/g9dkXTaEV4/FTgzw8r5dr0MfXVIsYD+D8/6/ARrOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T23:09:48.200204Z"},"content_sha256":"f3e7ac9c81c64b5107d84012e2b53fef07ce3a8c88c0cad10fb52dd2b59b8827","schema_version":"1.0","event_id":"sha256:f3e7ac9c81c64b5107d84012e2b53fef07ce3a8c88c0cad10fb52dd2b59b8827"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RFK74ANEHJFYLT7AODWEILCVML","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sijia Liu, Vishal Asnani, Xiao Guo, Xiaoming Liu","submitted_at":"2023-12-03T22:05:05Z","abstract_excerpt":"Model Parsing defines the research task of predicting hyperparameters of the generative model (GM), given a generated image as input. Since a diverse set of hyperparameters is jointly employed by the generative model, and dependencies often exist among them, it is crucial to learn these hyperparameter dependencies for the improved model parsing performance. To explore such important dependencies, we propose a novel model parsing method called Learnable Graph Pooling Network (LGPN). Specifically, we transform model parsing into a graph node classification task, using graph nodes and edges to re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.02224","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/2312.02224/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":"2026-07-05T09:28:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ND8fiq5Odqs86msGVhUBSawUvokhMiMpSEqlyAW2RtGQDlMlfNlC/PNy4ZS1fRuRwvASLJLXqd9nASi4yGu0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T23:09:48.200726Z"},"content_sha256":"130e28d0ef221a507e03d09e071cf61b1fad3c4a37bdf86c0855152e4cf3d8ba","schema_version":"1.0","event_id":"sha256:130e28d0ef221a507e03d09e071cf61b1fad3c4a37bdf86c0855152e4cf3d8ba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RFK74ANEHJFYLT7AODWEILCVML/bundle.json","state_url":"https://pith.science/pith/RFK74ANEHJFYLT7AODWEILCVML/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RFK74ANEHJFYLT7AODWEILCVML/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":"2026-08-02T23:09:48Z","links":{"resolver":"https://pith.science/pith/RFK74ANEHJFYLT7AODWEILCVML","bundle":"https://pith.science/pith/RFK74ANEHJFYLT7AODWEILCVML/bundle.json","state":"https://pith.science/pith/RFK74ANEHJFYLT7AODWEILCVML/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RFK74ANEHJFYLT7AODWEILCVML/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RFK74ANEHJFYLT7AODWEILCVML","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":"4ebe600fa1ae029590e3125f3fdf0e3687e5f61d7c3492f93daae36c1b4ebf67","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-03T22:05:05Z","title_canon_sha256":"6b036053bc3e9a82506f4bfde8e5ab47a0d090b0cd9d8d7e0e90c406fb587302"},"schema_version":"1.0","source":{"id":"2312.02224","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.02224","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"arxiv_version","alias_value":"2312.02224v3","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.02224","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"pith_short_12","alias_value":"RFK74ANEHJFY","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"pith_short_16","alias_value":"RFK74ANEHJFYLT7A","created_at":"2026-07-05T09:28:46Z"},{"alias_kind":"pith_short_8","alias_value":"RFK74ANE","created_at":"2026-07-05T09:28:46Z"}],"graph_snapshots":[{"event_id":"sha256:130e28d0ef221a507e03d09e071cf61b1fad3c4a37bdf86c0855152e4cf3d8ba","target":"graph","created_at":"2026-07-05T09:28:46Z","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/2312.02224/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model Parsing defines the research task of predicting hyperparameters of the generative model (GM), given a generated image as input. Since a diverse set of hyperparameters is jointly employed by the generative model, and dependencies often exist among them, it is crucial to learn these hyperparameter dependencies for the improved model parsing performance. To explore such important dependencies, we propose a novel model parsing method called Learnable Graph Pooling Network (LGPN). Specifically, we transform model parsing into a graph node classification task, using graph nodes and edges to re","authors_text":"Sijia Liu, Vishal Asnani, Xiao Guo, Xiaoming Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-03T22:05:05Z","title":"Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.02224","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:f3e7ac9c81c64b5107d84012e2b53fef07ce3a8c88c0cad10fb52dd2b59b8827","target":"record","created_at":"2026-07-05T09:28:46Z","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":"4ebe600fa1ae029590e3125f3fdf0e3687e5f61d7c3492f93daae36c1b4ebf67","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-03T22:05:05Z","title_canon_sha256":"6b036053bc3e9a82506f4bfde8e5ab47a0d090b0cd9d8d7e0e90c406fb587302"},"schema_version":"1.0","source":{"id":"2312.02224","kind":"arxiv","version":3}},"canonical_sha256":"8955fe01a43a4b85cfe070ec442c5562f2f73571806ec711a1917d71840dcfc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8955fe01a43a4b85cfe070ec442c5562f2f73571806ec711a1917d71840dcfc7","first_computed_at":"2026-07-05T09:28:46.434196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:46.434196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HRYug+J0okot498IGx2Z38i6S5S3nzwNw0OSERi4h3uO0/ZdyYe8FEVzvSk+kvaIDRJt49uyJd9xd3STGZZ2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:46.434710Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.02224","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3e7ac9c81c64b5107d84012e2b53fef07ce3a8c88c0cad10fb52dd2b59b8827","sha256:130e28d0ef221a507e03d09e071cf61b1fad3c4a37bdf86c0855152e4cf3d8ba"],"state_sha256":"aea18849600bb74c960d78ac7ae9e86eb957e9f740a0937e7da5f3190fae1aa9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m+P0iz8GIPBh0MvmXQWI7s8xHphg7zVJBRrAP1TmJf9UJ5x6zJEXKsqbcORKp1jScGAHcMcmUh8oX3OwLlosAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T23:09:48.206765Z","bundle_sha256":"0874ccd2cb51c5f6185d9fe1ced81145041ca8803e0cc7ec785bc77b2aab980f"}}