{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BSHI4HS35MOXFKD4VFMM5VNICZ","short_pith_number":"pith:BSHI4HS3","canonical_record":{"source":{"id":"1909.11895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-26T05:11:26Z","cross_cats_sorted":[],"title_canon_sha256":"bb7b5ea4ad20cb7be668c35d624f5f9e12707f32e075f2eedd4cd6a1872cec88","abstract_canon_sha256":"7cbe332ca366d3b9eabeec1fd218dd23d14f019075b3d3d6fc9efd6ca9dd5e86"},"schema_version":"1.0"},"canonical_sha256":"0c8e8e1e5beb1d72a87ca958ced5a816679dfe0f974b2887d3aa149622fec76d","source":{"kind":"arxiv","id":"1909.11895","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.11895","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"arxiv_version","alias_value":"1909.11895v1","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.11895","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_12","alias_value":"BSHI4HS35MOX","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_16","alias_value":"BSHI4HS35MOXFKD4","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_8","alias_value":"BSHI4HS3","created_at":"2026-07-05T00:07:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BSHI4HS35MOXFKD4VFMM5VNICZ","target":"record","payload":{"canonical_record":{"source":{"id":"1909.11895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-26T05:11:26Z","cross_cats_sorted":[],"title_canon_sha256":"bb7b5ea4ad20cb7be668c35d624f5f9e12707f32e075f2eedd4cd6a1872cec88","abstract_canon_sha256":"7cbe332ca366d3b9eabeec1fd218dd23d14f019075b3d3d6fc9efd6ca9dd5e86"},"schema_version":"1.0"},"canonical_sha256":"0c8e8e1e5beb1d72a87ca958ced5a816679dfe0f974b2887d3aa149622fec76d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:07:29.131242Z","signature_b64":"x4q1tT4ydD0NS2jhm/kI6U9Pp7hYRV9TAXGBly7EbAgKaV6//gA2pf8A2Kp7k+wzsMWpRvzMngCSQIhPYvOyCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c8e8e1e5beb1d72a87ca958ced5a816679dfe0f974b2887d3aa149622fec76d","last_reissued_at":"2026-07-05T00:07:29.130843Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:07:29.130843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.11895","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":"2026-07-05T00:07:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/UYZqAhJ+Lv1OKrEXrygJrWF7Vr0FvvXwkcMZogtFVQVCeP05zVRXLdyW2WzvjhzRiMjcQ49QA5fm5pEtRPZDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:04:51.885102Z"},"content_sha256":"b44feb732654cbd90575abb6dbd7f93306ef8a99f416034de3adafb062814dd8","schema_version":"1.0","event_id":"sha256:b44feb732654cbd90575abb6dbd7f93306ef8a99f416034de3adafb062814dd8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BSHI4HS35MOXFKD4VFMM5VNICZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joint-task Self-supervised Learning for Temporal Correspondence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jan Kautz, Ming-Hsuan Yang, Shalini De Mello, Sifei Liu, Xiaolong Wang, Xueting Li","submitted_at":"2019-09-26T05:11:26Z","abstract_excerpt":"This paper proposes to learn reliable dense correspondence from videos in a self-supervised manner. Our learning process integrates two highly related tasks: tracking large image regions \\emph{and} establishing fine-grained pixel-level associations between consecutive video frames. We exploit the synergy between both tasks through a shared inter-frame affinity matrix, which simultaneously models transitions between video frames at both the region- and pixel-levels. While region-level localization helps reduce ambiguities in fine-grained matching by narrowing down search regions; fine-grained m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.11895","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/1909.11895/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":"2026-07-05T00:07:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qyniAD3TgsqlrTGH0qi/RO+Ny+Y99fix4p8tjMm/xR3m+lH0D9dtsPYS3CT9NUoeQhO9564LK/19F1+NyfWVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:04:51.885618Z"},"content_sha256":"7de548567370e822e0d470718ea50685fd6cd9f6438c61027a6864e50972c65a","schema_version":"1.0","event_id":"sha256:7de548567370e822e0d470718ea50685fd6cd9f6438c61027a6864e50972c65a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BSHI4HS35MOXFKD4VFMM5VNICZ/bundle.json","state_url":"https://pith.science/pith/BSHI4HS35MOXFKD4VFMM5VNICZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BSHI4HS35MOXFKD4VFMM5VNICZ/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":"2026-08-08T19:04:51Z","links":{"resolver":"https://pith.science/pith/BSHI4HS35MOXFKD4VFMM5VNICZ","bundle":"https://pith.science/pith/BSHI4HS35MOXFKD4VFMM5VNICZ/bundle.json","state":"https://pith.science/pith/BSHI4HS35MOXFKD4VFMM5VNICZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BSHI4HS35MOXFKD4VFMM5VNICZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BSHI4HS35MOXFKD4VFMM5VNICZ","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":"7cbe332ca366d3b9eabeec1fd218dd23d14f019075b3d3d6fc9efd6ca9dd5e86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-26T05:11:26Z","title_canon_sha256":"bb7b5ea4ad20cb7be668c35d624f5f9e12707f32e075f2eedd4cd6a1872cec88"},"schema_version":"1.0","source":{"id":"1909.11895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.11895","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"arxiv_version","alias_value":"1909.11895v1","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.11895","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_12","alias_value":"BSHI4HS35MOX","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_16","alias_value":"BSHI4HS35MOXFKD4","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_8","alias_value":"BSHI4HS3","created_at":"2026-07-05T00:07:29Z"}],"graph_snapshots":[{"event_id":"sha256:7de548567370e822e0d470718ea50685fd6cd9f6438c61027a6864e50972c65a","target":"graph","created_at":"2026-07-05T00:07:29Z","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/1909.11895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes to learn reliable dense correspondence from videos in a self-supervised manner. Our learning process integrates two highly related tasks: tracking large image regions \\emph{and} establishing fine-grained pixel-level associations between consecutive video frames. We exploit the synergy between both tasks through a shared inter-frame affinity matrix, which simultaneously models transitions between video frames at both the region- and pixel-levels. While region-level localization helps reduce ambiguities in fine-grained matching by narrowing down search regions; fine-grained m","authors_text":"Jan Kautz, Ming-Hsuan Yang, Shalini De Mello, Sifei Liu, Xiaolong Wang, Xueting Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-26T05:11:26Z","title":"Joint-task Self-supervised Learning for Temporal Correspondence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.11895","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:b44feb732654cbd90575abb6dbd7f93306ef8a99f416034de3adafb062814dd8","target":"record","created_at":"2026-07-05T00:07:29Z","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":"7cbe332ca366d3b9eabeec1fd218dd23d14f019075b3d3d6fc9efd6ca9dd5e86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-26T05:11:26Z","title_canon_sha256":"bb7b5ea4ad20cb7be668c35d624f5f9e12707f32e075f2eedd4cd6a1872cec88"},"schema_version":"1.0","source":{"id":"1909.11895","kind":"arxiv","version":1}},"canonical_sha256":"0c8e8e1e5beb1d72a87ca958ced5a816679dfe0f974b2887d3aa149622fec76d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c8e8e1e5beb1d72a87ca958ced5a816679dfe0f974b2887d3aa149622fec76d","first_computed_at":"2026-07-05T00:07:29.130843Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:07:29.130843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x4q1tT4ydD0NS2jhm/kI6U9Pp7hYRV9TAXGBly7EbAgKaV6//gA2pf8A2Kp7k+wzsMWpRvzMngCSQIhPYvOyCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:07:29.131242Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.11895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b44feb732654cbd90575abb6dbd7f93306ef8a99f416034de3adafb062814dd8","sha256:7de548567370e822e0d470718ea50685fd6cd9f6438c61027a6864e50972c65a"],"state_sha256":"d193376d07d741e0f108fe4cd570a5a02b23cb628dc1a40a85bf1994062072d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YVOO52qZ9EfF0fZodfQtr0AN8xgWLblfEJ3yx4uIiu44IP+PcXLB6s/Yf1DKGPh5Z718LTKfe2GbUOK83ernBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:04:51.889689Z","bundle_sha256":"69f3096f0906ce967fd406f8bd01f90e2f137481df55998a69541f1760bbae97"}}