{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:L7VDVW7R4ZZSUDPIUHF25BQYB3","short_pith_number":"pith:L7VDVW7R","canonical_record":{"source":{"id":"2404.15497","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2024-04-23T20:20:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71805cc04607407876532f0dc74304a0f85a0becbe67c5e201141c0c278a8266","abstract_canon_sha256":"6d74085ce1ab157a8dca1c941fa97b9e373a9b9f4ef1ebca85562e3bf7fc790f"},"schema_version":"1.0"},"canonical_sha256":"5fea3adbf1e6732a0de8a1cbae86180ede325bc3b0e7a43fef94e8ae7ae4b3a5","source":{"kind":"arxiv","id":"2404.15497","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15497","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15497v2","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15497","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"pith_short_12","alias_value":"L7VDVW7R4ZZS","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"pith_short_16","alias_value":"L7VDVW7R4ZZSUDPI","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"pith_short_8","alias_value":"L7VDVW7R","created_at":"2026-07-05T08:12:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:L7VDVW7R4ZZSUDPIUHF25BQYB3","target":"record","payload":{"canonical_record":{"source":{"id":"2404.15497","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2024-04-23T20:20:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"71805cc04607407876532f0dc74304a0f85a0becbe67c5e201141c0c278a8266","abstract_canon_sha256":"6d74085ce1ab157a8dca1c941fa97b9e373a9b9f4ef1ebca85562e3bf7fc790f"},"schema_version":"1.0"},"canonical_sha256":"5fea3adbf1e6732a0de8a1cbae86180ede325bc3b0e7a43fef94e8ae7ae4b3a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:50.545742Z","signature_b64":"oEBRkvNTKRtZDcLMPTUdXF8qzhoFuW7NDfd+GeDBBmvSq+Wi9gZXY8cg6ZwUVABpOM0FRJpKIa89j74Yc+sNAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5fea3adbf1e6732a0de8a1cbae86180ede325bc3b0e7a43fef94e8ae7ae4b3a5","last_reissued_at":"2026-07-05T08:12:50.545293Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:50.545293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.15497","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":"2026-07-05T08:12:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Aoiz4d8YRTqtNllU7Yr4ayJlabH4ddSPXIuK/mxIs6vqSX9lae/jekl8GDLzRQitQ2brggqRBB5fUzLlsIDSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:11:47.767183Z"},"content_sha256":"b34ff3e5d569a4a1815cdf69eac9c5fc8f763f4a2db4dac049adfcd21df22be9","schema_version":"1.0","event_id":"sha256:b34ff3e5d569a4a1815cdf69eac9c5fc8f763f4a2db4dac049adfcd21df22be9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:L7VDVW7R4ZZSUDPIUHF25BQYB3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cond-mat.soft","authors_text":"Aparna Baskaran, Linnea Lemma, Michael F. Hagan, Pengyu Hong, Phu N. Tran, Reef Sweeney, Sattvic Ray, Yunrui Li, Zvonimir Dogic","submitted_at":"2024-04-23T20:20:00Z","abstract_excerpt":"Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motions of objects at the pixel level. In this article, we evaluate the ability of optical flow to quantify the spontaneous flows of MT-based active nematics under different labeling conditions. We compare DLOF against the commonly used technique, particle imaging velocimetry (PIV). We obtain flow velocity ground truths either by performing semi-automated particle tracking on samples with sparsely labeled filaments, or fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15497","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/2404.15497/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":"2026-07-05T08:12:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TRk/vRvar0v6h393e02tiHhxxhbHESWk0ncaEB8WkgRe72zW5NI9ZvqbUKSeeS+bkxRckiyEaXHvwMB0Ms2+Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:11:47.767938Z"},"content_sha256":"340307eae44c08c8d249f2a46eab01ddd7f47c74403162cd06f7e698876c5b97","schema_version":"1.0","event_id":"sha256:340307eae44c08c8d249f2a46eab01ddd7f47c74403162cd06f7e698876c5b97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3/bundle.json","state_url":"https://pith.science/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3/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":"2026-08-11T00:11:47Z","links":{"resolver":"https://pith.science/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3","bundle":"https://pith.science/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3/bundle.json","state":"https://pith.science/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L7VDVW7R4ZZSUDPIUHF25BQYB3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:L7VDVW7R4ZZSUDPIUHF25BQYB3","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":"6d74085ce1ab157a8dca1c941fa97b9e373a9b9f4ef1ebca85562e3bf7fc790f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2024-04-23T20:20:00Z","title_canon_sha256":"71805cc04607407876532f0dc74304a0f85a0becbe67c5e201141c0c278a8266"},"schema_version":"1.0","source":{"id":"2404.15497","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15497","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15497v2","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15497","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"pith_short_12","alias_value":"L7VDVW7R4ZZS","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"pith_short_16","alias_value":"L7VDVW7R4ZZSUDPI","created_at":"2026-07-05T08:12:50Z"},{"alias_kind":"pith_short_8","alias_value":"L7VDVW7R","created_at":"2026-07-05T08:12:50Z"}],"graph_snapshots":[{"event_id":"sha256:340307eae44c08c8d249f2a46eab01ddd7f47c74403162cd06f7e698876c5b97","target":"graph","created_at":"2026-07-05T08:12:50Z","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/2404.15497/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motions of objects at the pixel level. In this article, we evaluate the ability of optical flow to quantify the spontaneous flows of MT-based active nematics under different labeling conditions. We compare DLOF against the commonly used technique, particle imaging velocimetry (PIV). We obtain flow velocity ground truths either by performing semi-automated particle tracking on samples with sparsely labeled filaments, or fr","authors_text":"Aparna Baskaran, Linnea Lemma, Michael F. Hagan, Pengyu Hong, Phu N. Tran, Reef Sweeney, Sattvic Ray, Yunrui Li, Zvonimir Dogic","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2024-04-23T20:20:00Z","title":"Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15497","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:b34ff3e5d569a4a1815cdf69eac9c5fc8f763f4a2db4dac049adfcd21df22be9","target":"record","created_at":"2026-07-05T08:12:50Z","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":"6d74085ce1ab157a8dca1c941fa97b9e373a9b9f4ef1ebca85562e3bf7fc790f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2024-04-23T20:20:00Z","title_canon_sha256":"71805cc04607407876532f0dc74304a0f85a0becbe67c5e201141c0c278a8266"},"schema_version":"1.0","source":{"id":"2404.15497","kind":"arxiv","version":2}},"canonical_sha256":"5fea3adbf1e6732a0de8a1cbae86180ede325bc3b0e7a43fef94e8ae7ae4b3a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fea3adbf1e6732a0de8a1cbae86180ede325bc3b0e7a43fef94e8ae7ae4b3a5","first_computed_at":"2026-07-05T08:12:50.545293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:12:50.545293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oEBRkvNTKRtZDcLMPTUdXF8qzhoFuW7NDfd+GeDBBmvSq+Wi9gZXY8cg6ZwUVABpOM0FRJpKIa89j74Yc+sNAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:12:50.545742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.15497","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b34ff3e5d569a4a1815cdf69eac9c5fc8f763f4a2db4dac049adfcd21df22be9","sha256:340307eae44c08c8d249f2a46eab01ddd7f47c74403162cd06f7e698876c5b97"],"state_sha256":"174f24e13f23943f6bdb447544c36db70cd6e9055a953d3028ade3fdd8d57cca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JXI/jff2MSl95DH08Le0p6Ku4lDvOdGJUxIxyy3xe6nyeHN55YjoCW/EbnFInqL4gx3PrKFWZ43egZScsWO8Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:11:47.774268Z","bundle_sha256":"d41e0e8454eb875c0f0c78234d8c4103aaac650a8f36f3540fa27d7649137cc6"}}