{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3JEI5DNPF57R3FE6AB2GOREOP5","short_pith_number":"pith:3JEI5DNP","canonical_record":{"source":{"id":"2411.08993","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T19:33:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5d231f6186daeee0f4020df3f91b0189b8faca10cdfbc51c079531c28389195e","abstract_canon_sha256":"3412b008d4fb9da65e87b3a28c0c8513767f189be05dafc397a48463bde256d9"},"schema_version":"1.0"},"canonical_sha256":"da488e8daf2f7f1d949e007467448e7f693f16a819d47d5ff03c8f18481c36e2","source":{"kind":"arxiv","id":"2411.08993","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08993","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08993v1","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08993","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"pith_short_12","alias_value":"3JEI5DNPF57R","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"pith_short_16","alias_value":"3JEI5DNPF57R3FE6","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"pith_short_8","alias_value":"3JEI5DNP","created_at":"2026-07-05T09:35:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3JEI5DNPF57R3FE6AB2GOREOP5","target":"record","payload":{"canonical_record":{"source":{"id":"2411.08993","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T19:33:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5d231f6186daeee0f4020df3f91b0189b8faca10cdfbc51c079531c28389195e","abstract_canon_sha256":"3412b008d4fb9da65e87b3a28c0c8513767f189be05dafc397a48463bde256d9"},"schema_version":"1.0"},"canonical_sha256":"da488e8daf2f7f1d949e007467448e7f693f16a819d47d5ff03c8f18481c36e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:18.089809Z","signature_b64":"9kO6ymjoBa8TxV/hzJKN0aLW8/yey8PUUMHERcDojGMpOzRqkDZtRj1jvGRSjGy/KUci2+LnDfMUAmXleC+0CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da488e8daf2f7f1d949e007467448e7f693f16a819d47d5ff03c8f18481c36e2","last_reissued_at":"2026-07-05T09:35:18.089343Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:18.089343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.08993","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":"2026-07-05T09:35:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KVR91LM63Mx9stSgJnekHYzPaOUVuy2EM+4VMLMWoHr54SfGaOAicTS1GrLR+Xi4hnxuK7yuVUT7u6HJ/sJZAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:31:37.901531Z"},"content_sha256":"a827695fbfcc53cefed7a90cf41139f10c2ce9eb916738666d0226e5db31cec0","schema_version":"1.0","event_id":"sha256:a827695fbfcc53cefed7a90cf41139f10c2ce9eb916738666d0226e5db31cec0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3JEI5DNPF57R3FE6AB2GOREOP5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Parameter Inference via Differentiable Diffusion Bridge Importance Sampling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Christy Anna Hipsley, Gefan Yang, Michael Lind Severinsen, Nicklas Boserup, Stefan Sommer","submitted_at":"2024-11-13T19:33:47Z","abstract_excerpt":"We introduce a methodology for performing parameter inference in high-dimensional, non-linear diffusion processes. We illustrate its applicability for obtaining insights into the evolution of and relationships between species, including ancestral state reconstruction. Estimation is performed by utilising score matching to approximate diffusion bridges, which are subsequently used in an importance sampler to estimate log-likelihoods. The entire setup is differentiable, allowing gradient ascent on approximated log-likelihoods. This allows both parameter inference and diffusion mean estimation. T"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08993","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/2411.08993/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":"2026-07-05T09:35:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CggCOm2N7A1xcQazZ1ogFqaBAfutVikgQHylLf3MpmRiDhxEuHZKU75fs4DzDVUB4YMZQ+TSlTq/NkCqceAmBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:31:37.902464Z"},"content_sha256":"3d41158b57b18100e8f4c62a22e60dab251e955d5af8d1f9a6a1da9fba58f0fe","schema_version":"1.0","event_id":"sha256:3d41158b57b18100e8f4c62a22e60dab251e955d5af8d1f9a6a1da9fba58f0fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3JEI5DNPF57R3FE6AB2GOREOP5/bundle.json","state_url":"https://pith.science/pith/3JEI5DNPF57R3FE6AB2GOREOP5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3JEI5DNPF57R3FE6AB2GOREOP5/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":"2026-08-06T10:31:37Z","links":{"resolver":"https://pith.science/pith/3JEI5DNPF57R3FE6AB2GOREOP5","bundle":"https://pith.science/pith/3JEI5DNPF57R3FE6AB2GOREOP5/bundle.json","state":"https://pith.science/pith/3JEI5DNPF57R3FE6AB2GOREOP5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3JEI5DNPF57R3FE6AB2GOREOP5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3JEI5DNPF57R3FE6AB2GOREOP5","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":"3412b008d4fb9da65e87b3a28c0c8513767f189be05dafc397a48463bde256d9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T19:33:47Z","title_canon_sha256":"5d231f6186daeee0f4020df3f91b0189b8faca10cdfbc51c079531c28389195e"},"schema_version":"1.0","source":{"id":"2411.08993","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08993","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08993v1","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08993","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"pith_short_12","alias_value":"3JEI5DNPF57R","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"pith_short_16","alias_value":"3JEI5DNPF57R3FE6","created_at":"2026-07-05T09:35:18Z"},{"alias_kind":"pith_short_8","alias_value":"3JEI5DNP","created_at":"2026-07-05T09:35:18Z"}],"graph_snapshots":[{"event_id":"sha256:3d41158b57b18100e8f4c62a22e60dab251e955d5af8d1f9a6a1da9fba58f0fe","target":"graph","created_at":"2026-07-05T09:35:18Z","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/2411.08993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a methodology for performing parameter inference in high-dimensional, non-linear diffusion processes. We illustrate its applicability for obtaining insights into the evolution of and relationships between species, including ancestral state reconstruction. Estimation is performed by utilising score matching to approximate diffusion bridges, which are subsequently used in an importance sampler to estimate log-likelihoods. The entire setup is differentiable, allowing gradient ascent on approximated log-likelihoods. This allows both parameter inference and diffusion mean estimation. T","authors_text":"Christy Anna Hipsley, Gefan Yang, Michael Lind Severinsen, Nicklas Boserup, Stefan Sommer","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T19:33:47Z","title":"Parameter Inference via Differentiable Diffusion Bridge Importance Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08993","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:a827695fbfcc53cefed7a90cf41139f10c2ce9eb916738666d0226e5db31cec0","target":"record","created_at":"2026-07-05T09:35:18Z","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":"3412b008d4fb9da65e87b3a28c0c8513767f189be05dafc397a48463bde256d9","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-11-13T19:33:47Z","title_canon_sha256":"5d231f6186daeee0f4020df3f91b0189b8faca10cdfbc51c079531c28389195e"},"schema_version":"1.0","source":{"id":"2411.08993","kind":"arxiv","version":1}},"canonical_sha256":"da488e8daf2f7f1d949e007467448e7f693f16a819d47d5ff03c8f18481c36e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da488e8daf2f7f1d949e007467448e7f693f16a819d47d5ff03c8f18481c36e2","first_computed_at":"2026-07-05T09:35:18.089343Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:18.089343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9kO6ymjoBa8TxV/hzJKN0aLW8/yey8PUUMHERcDojGMpOzRqkDZtRj1jvGRSjGy/KUci2+LnDfMUAmXleC+0CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:18.089809Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.08993","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a827695fbfcc53cefed7a90cf41139f10c2ce9eb916738666d0226e5db31cec0","sha256:3d41158b57b18100e8f4c62a22e60dab251e955d5af8d1f9a6a1da9fba58f0fe"],"state_sha256":"ef18b36414b37c00d36ea20cfe9f815263c58a1047ea32aaa085378756a14dbc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iO7KqHbudwxZstwo4pG1wgismbYT+Zkqet1YAvLPrE5BdKVTXfV84jsKEkOvsQiRiy5gd0cwKudqKQ4Xz/6rDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T10:31:37.907834Z","bundle_sha256":"ba2402148795767c0941379484dbd118e9f997bd51e04b27cd23bede617fc03c"}}