{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6O3XVXVGMJKZRKKYCGEY2PU23K","short_pith_number":"pith:6O3XVXVG","canonical_record":{"source":{"id":"1706.02888","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-09T10:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"482108e9570b6a5bc614dc8a9ed8849b6ccb9bb4aeabff0e4ac611f62ec3b2f9","abstract_canon_sha256":"1257012d909b6cf74d99bdc0365258da126d7d6079fdef6e48c7929af6038e83"},"schema_version":"1.0"},"canonical_sha256":"f3b77adea6625598a95811898d3e9adab07833897b69c5b6e6ab6c77dcda6371","source":{"kind":"arxiv","id":"1706.02888","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.02888","created_at":"2026-05-18T00:42:40Z"},{"alias_kind":"arxiv_version","alias_value":"1706.02888v1","created_at":"2026-05-18T00:42:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.02888","created_at":"2026-05-18T00:42:40Z"},{"alias_kind":"pith_short_12","alias_value":"6O3XVXVGMJKZ","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6O3XVXVGMJKZRKKY","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6O3XVXVG","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6O3XVXVGMJKZRKKYCGEY2PU23K","target":"record","payload":{"canonical_record":{"source":{"id":"1706.02888","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-09T10:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"482108e9570b6a5bc614dc8a9ed8849b6ccb9bb4aeabff0e4ac611f62ec3b2f9","abstract_canon_sha256":"1257012d909b6cf74d99bdc0365258da126d7d6079fdef6e48c7929af6038e83"},"schema_version":"1.0"},"canonical_sha256":"f3b77adea6625598a95811898d3e9adab07833897b69c5b6e6ab6c77dcda6371","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:40.667361Z","signature_b64":"6QOfitWbY7e/EnYmYgcSMZdfGX6BZQcO7bgY3UAvcjI1NWd6IN9q2eqqQ0f6HS80shFR5yTALedJKR6PRY8QAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3b77adea6625598a95811898d3e9adab07833897b69c5b6e6ab6c77dcda6371","last_reissued_at":"2026-05-18T00:42:40.666486Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:40.666486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.02888","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":"2026-05-18T00:42:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uWmTsV68PPnHYZWyj61NIBe/Z2lggac3zcoZFas78jyOiVAj+E3PZjQAiwymJxJoJtYU1TIeSvMOTJQA936yDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T19:17:01.093182Z"},"content_sha256":"56a92050c6a5d0585b3ea06dd68fca76f113bf155ac3e0af4ee03f80c1ff1b0e","schema_version":"1.0","event_id":"sha256:56a92050c6a5d0585b3ea06dd68fca76f113bf155ac3e0af4ee03f80c1ff1b0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6O3XVXVGMJKZRKKYCGEY2PU23K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DCCO: Towards Deformable Continuous Convolution Operators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fahad Shahbaz Khan, Joakim Johnander, Martin Danelljan, Michael Felsberg","submitted_at":"2017-06-09T10:39:32Z","abstract_excerpt":"Discriminative Correlation Filter (DCF) based methods have shown competitive performance on tracking benchmarks in recent years. Generally, DCF based trackers learn a rigid appearance model of the target. However, this reliance on a single rigid appearance model is insufficient in situations where the target undergoes non-rigid transformations. In this paper, we propose a unified formulation for learning a deformable convolution filter. In our framework, the deformable filter is represented as a linear combination of sub-filters. Both the sub-filter coefficients and their relative locations ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.02888","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":""},"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":"2026-05-18T00:42:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"501LODrGOhVHOi5EaqA6by3Ac+P1oemg9vOtZFf6x2W5dP4hx52HsNxqBsM7jfCtqX41SygRr0bb1X1MrVhcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T19:17:01.093668Z"},"content_sha256":"cd03689854d8a8e551ae0e3f4f8bb34d1a8bfbac761f4cc152fe492871d789fb","schema_version":"1.0","event_id":"sha256:cd03689854d8a8e551ae0e3f4f8bb34d1a8bfbac761f4cc152fe492871d789fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6O3XVXVGMJKZRKKYCGEY2PU23K/bundle.json","state_url":"https://pith.science/pith/6O3XVXVGMJKZRKKYCGEY2PU23K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6O3XVXVGMJKZRKKYCGEY2PU23K/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":"2026-05-31T19:17:01Z","links":{"resolver":"https://pith.science/pith/6O3XVXVGMJKZRKKYCGEY2PU23K","bundle":"https://pith.science/pith/6O3XVXVGMJKZRKKYCGEY2PU23K/bundle.json","state":"https://pith.science/pith/6O3XVXVGMJKZRKKYCGEY2PU23K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6O3XVXVGMJKZRKKYCGEY2PU23K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6O3XVXVGMJKZRKKYCGEY2PU23K","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":"1257012d909b6cf74d99bdc0365258da126d7d6079fdef6e48c7929af6038e83","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-09T10:39:32Z","title_canon_sha256":"482108e9570b6a5bc614dc8a9ed8849b6ccb9bb4aeabff0e4ac611f62ec3b2f9"},"schema_version":"1.0","source":{"id":"1706.02888","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.02888","created_at":"2026-05-18T00:42:40Z"},{"alias_kind":"arxiv_version","alias_value":"1706.02888v1","created_at":"2026-05-18T00:42:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.02888","created_at":"2026-05-18T00:42:40Z"},{"alias_kind":"pith_short_12","alias_value":"6O3XVXVGMJKZ","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6O3XVXVGMJKZRKKY","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6O3XVXVG","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:cd03689854d8a8e551ae0e3f4f8bb34d1a8bfbac761f4cc152fe492871d789fb","target":"graph","created_at":"2026-05-18T00:42:40Z","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"},"paper":{"abstract_excerpt":"Discriminative Correlation Filter (DCF) based methods have shown competitive performance on tracking benchmarks in recent years. Generally, DCF based trackers learn a rigid appearance model of the target. However, this reliance on a single rigid appearance model is insufficient in situations where the target undergoes non-rigid transformations. In this paper, we propose a unified formulation for learning a deformable convolution filter. In our framework, the deformable filter is represented as a linear combination of sub-filters. Both the sub-filter coefficients and their relative locations ar","authors_text":"Fahad Shahbaz Khan, Joakim Johnander, Martin Danelljan, Michael Felsberg","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-09T10:39:32Z","title":"DCCO: Towards Deformable Continuous Convolution Operators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.02888","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":"sha256:56a92050c6a5d0585b3ea06dd68fca76f113bf155ac3e0af4ee03f80c1ff1b0e","target":"record","created_at":"2026-05-18T00:42:40Z","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":"1257012d909b6cf74d99bdc0365258da126d7d6079fdef6e48c7929af6038e83","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-09T10:39:32Z","title_canon_sha256":"482108e9570b6a5bc614dc8a9ed8849b6ccb9bb4aeabff0e4ac611f62ec3b2f9"},"schema_version":"1.0","source":{"id":"1706.02888","kind":"arxiv","version":1}},"canonical_sha256":"f3b77adea6625598a95811898d3e9adab07833897b69c5b6e6ab6c77dcda6371","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3b77adea6625598a95811898d3e9adab07833897b69c5b6e6ab6c77dcda6371","first_computed_at":"2026-05-18T00:42:40.666486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:40.666486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6QOfitWbY7e/EnYmYgcSMZdfGX6BZQcO7bgY3UAvcjI1NWd6IN9q2eqqQ0f6HS80shFR5yTALedJKR6PRY8QAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:40.667361Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.02888","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56a92050c6a5d0585b3ea06dd68fca76f113bf155ac3e0af4ee03f80c1ff1b0e","sha256:cd03689854d8a8e551ae0e3f4f8bb34d1a8bfbac761f4cc152fe492871d789fb"],"state_sha256":"64e3ba64260a328ef27b6fb06af570ee1e9950f8f8b0e963e890034ee6b016ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h6R49QyM+hI0GhCtw+lzVola/K+FixfQbQih6EpvOzITFZm6AiB63oMd/znnQz1+w+uaW8PKPvMUne8KuN1NAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T19:17:01.096840Z","bundle_sha256":"fc0ef65a92a6a594bd129eb0a0ad215e545a0f05eab9b657c40ecea69fb0876f"}}