{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MMDQ64ZT5TAQWTQN5XUP7M7YLM","short_pith_number":"pith:MMDQ64ZT","canonical_record":{"source":{"id":"2505.21817","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T22:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"94b24a7911f9065403de20b797898817f736fc5a8cbad9456e6426cb04ae6a52","abstract_canon_sha256":"3e2f135af5e7f2c3724728e7914a4bf5baf7ffa9850ddf5a9d17231f0488e9fe"},"schema_version":"1.0"},"canonical_sha256":"63070f7333ecc10b4e0dede8ffb3f85b1c1019dfff4c6552112c1d09f9a088a2","source":{"kind":"arxiv","id":"2505.21817","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21817","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21817v1","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21817","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"pith_short_12","alias_value":"MMDQ64ZT5TAQ","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"pith_short_16","alias_value":"MMDQ64ZT5TAQWTQN","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"pith_short_8","alias_value":"MMDQ64ZT","created_at":"2026-07-05T11:11:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MMDQ64ZT5TAQWTQN5XUP7M7YLM","target":"record","payload":{"canonical_record":{"source":{"id":"2505.21817","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T22:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"94b24a7911f9065403de20b797898817f736fc5a8cbad9456e6426cb04ae6a52","abstract_canon_sha256":"3e2f135af5e7f2c3724728e7914a4bf5baf7ffa9850ddf5a9d17231f0488e9fe"},"schema_version":"1.0"},"canonical_sha256":"63070f7333ecc10b4e0dede8ffb3f85b1c1019dfff4c6552112c1d09f9a088a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:04.081288Z","signature_b64":"gFwDAhSzFpaGCuZPIZ2RYdPfyJWm7L7JvydksnJW6CyiJBQkBwgyyAa3B7bVI9wiaIzBBYruwC2QuNxutrD7Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63070f7333ecc10b4e0dede8ffb3f85b1c1019dfff4c6552112c1d09f9a088a2","last_reissued_at":"2026-07-05T11:11:04.080883Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:04.080883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.21817","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":"2026-07-05T11:11:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6DPXgi65+xwslEIqdm+OLvj7UTp+fPTFPqgvmdpn7/iICDgqXTOzq9Ef3faDaiCb5ITC2Lf7EYc2ynGFLxZcCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:30:24.066958Z"},"content_sha256":"c9e8179fd36f159c4a0513a78a86b1d4760609abe9ec5949ff028161ab104f84","schema_version":"1.0","event_id":"sha256:c9e8179fd36f159c4a0513a78a86b1d4760609abe9ec5949ff028161ab104f84"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MMDQ64ZT5TAQWTQN5XUP7M7YLM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changdi Yang, Juyi Lin, Lei Lu, Qihui Fan, Shangqian Gao, Xiaomeng Yang, Xuan Zhang, Yanzhi Wang","submitted_at":"2025-05-27T22:59:44Z","abstract_excerpt":"Diffusion models have demonstrated exceptional capabilities in generating high-fidelity images. However, their iterative denoising process results in significant computational overhead during inference, limiting their practical deployment in resource-constrained environments. Existing acceleration methods often adopt uniform strategies that fail to capture the temporal variations during diffusion generation, while the commonly adopted sequential pruning-then-fine-tuning strategy suffers from sub-optimality due to the misalignment between pruning decisions made on pretrained weights and the mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21817","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/2505.21817/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":"2026-07-05T11:11:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o0ApD1zW2j+pcFsHTKPyDkTbIO4DwQg4nsHZ5WpVIS5w2iy9pz26+ZvjpY2kDZjrCXqu40PevCGCLr9CUFn2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:30:24.067455Z"},"content_sha256":"1e7ee7ef6e01bfd9a7f86d63bdef35b163531d4084af3a361139d96d80d3af8f","schema_version":"1.0","event_id":"sha256:1e7ee7ef6e01bfd9a7f86d63bdef35b163531d4084af3a361139d96d80d3af8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM/bundle.json","state_url":"https://pith.science/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM/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":"2026-08-04T18:30:24Z","links":{"resolver":"https://pith.science/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM","bundle":"https://pith.science/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM/bundle.json","state":"https://pith.science/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMDQ64ZT5TAQWTQN5XUP7M7YLM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MMDQ64ZT5TAQWTQN5XUP7M7YLM","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":"3e2f135af5e7f2c3724728e7914a4bf5baf7ffa9850ddf5a9d17231f0488e9fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T22:59:44Z","title_canon_sha256":"94b24a7911f9065403de20b797898817f736fc5a8cbad9456e6426cb04ae6a52"},"schema_version":"1.0","source":{"id":"2505.21817","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21817","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21817v1","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21817","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"pith_short_12","alias_value":"MMDQ64ZT5TAQ","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"pith_short_16","alias_value":"MMDQ64ZT5TAQWTQN","created_at":"2026-07-05T11:11:04Z"},{"alias_kind":"pith_short_8","alias_value":"MMDQ64ZT","created_at":"2026-07-05T11:11:04Z"}],"graph_snapshots":[{"event_id":"sha256:1e7ee7ef6e01bfd9a7f86d63bdef35b163531d4084af3a361139d96d80d3af8f","target":"graph","created_at":"2026-07-05T11:11:04Z","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/2505.21817/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have demonstrated exceptional capabilities in generating high-fidelity images. However, their iterative denoising process results in significant computational overhead during inference, limiting their practical deployment in resource-constrained environments. Existing acceleration methods often adopt uniform strategies that fail to capture the temporal variations during diffusion generation, while the commonly adopted sequential pruning-then-fine-tuning strategy suffers from sub-optimality due to the misalignment between pruning decisions made on pretrained weights and the mod","authors_text":"Changdi Yang, Juyi Lin, Lei Lu, Qihui Fan, Shangqian Gao, Xiaomeng Yang, Xuan Zhang, Yanzhi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T22:59:44Z","title":"ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21817","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:c9e8179fd36f159c4a0513a78a86b1d4760609abe9ec5949ff028161ab104f84","target":"record","created_at":"2026-07-05T11:11:04Z","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":"3e2f135af5e7f2c3724728e7914a4bf5baf7ffa9850ddf5a9d17231f0488e9fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T22:59:44Z","title_canon_sha256":"94b24a7911f9065403de20b797898817f736fc5a8cbad9456e6426cb04ae6a52"},"schema_version":"1.0","source":{"id":"2505.21817","kind":"arxiv","version":1}},"canonical_sha256":"63070f7333ecc10b4e0dede8ffb3f85b1c1019dfff4c6552112c1d09f9a088a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63070f7333ecc10b4e0dede8ffb3f85b1c1019dfff4c6552112c1d09f9a088a2","first_computed_at":"2026-07-05T11:11:04.080883Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:04.080883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gFwDAhSzFpaGCuZPIZ2RYdPfyJWm7L7JvydksnJW6CyiJBQkBwgyyAa3B7bVI9wiaIzBBYruwC2QuNxutrD7Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:04.081288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21817","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9e8179fd36f159c4a0513a78a86b1d4760609abe9ec5949ff028161ab104f84","sha256:1e7ee7ef6e01bfd9a7f86d63bdef35b163531d4084af3a361139d96d80d3af8f"],"state_sha256":"f8356d2b09eb11bf12bba5bbbe58328cf06e241e2b6a917f17493e3c6bab67e8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PtHLWnkp9gEYj6NAGiVfjRW8F8An2kFrXoOevtfR3R5b1h2D9eOQpYchxgP5NbvrFBKyproyZ6JQX73UeDQRAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T18:30:24.071724Z","bundle_sha256":"0c94fdc273ec065f0b83b2c15f30e24c3e6aea02f681097a89bf570505b54ec1"}}