{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:QXS2U4W5UUPW23BC7E4LYY47L6","short_pith_number":"pith:QXS2U4W5","canonical_record":{"source":{"id":"1609.01465","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-06T10:00:26Z","cross_cats_sorted":[],"title_canon_sha256":"03cbe381487ed0182a63895e3be3cd712a6807411742ddfa7e2cd5ff37cf52e7","abstract_canon_sha256":"71577d54aa0638329d8485fd6e9718469b9c16a23ca4e532d403c998d6819693"},"schema_version":"1.0"},"canonical_sha256":"85e5aa72dda51f6d6c22f938bc639f5fa9ae7f4df755fc310a37588adabf92f7","source":{"kind":"arxiv","id":"1609.01465","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.01465","created_at":"2026-05-18T01:05:39Z"},{"alias_kind":"arxiv_version","alias_value":"1609.01465v1","created_at":"2026-05-18T01:05:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.01465","created_at":"2026-05-18T01:05:39Z"},{"alias_kind":"pith_short_12","alias_value":"QXS2U4W5UUPW","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"QXS2U4W5UUPW23BC","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"QXS2U4W5","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:QXS2U4W5UUPW23BC7E4LYY47L6","target":"record","payload":{"canonical_record":{"source":{"id":"1609.01465","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-06T10:00:26Z","cross_cats_sorted":[],"title_canon_sha256":"03cbe381487ed0182a63895e3be3cd712a6807411742ddfa7e2cd5ff37cf52e7","abstract_canon_sha256":"71577d54aa0638329d8485fd6e9718469b9c16a23ca4e532d403c998d6819693"},"schema_version":"1.0"},"canonical_sha256":"85e5aa72dda51f6d6c22f938bc639f5fa9ae7f4df755fc310a37588adabf92f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:05:39.486257Z","signature_b64":"BS2tRwDqTVg3AMZAZgHvjRoa6qFvXGzasOlphgG3ktiZXkXaNpePxvFzGJU1qOu0q9v1mqjtvs7cGSTLSuXPAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85e5aa72dda51f6d6c22f938bc639f5fa9ae7f4df755fc310a37588adabf92f7","last_reissued_at":"2026-05-18T01:05:39.485444Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:05:39.485444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1609.01465","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":"2026-05-18T01:05:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zFaW43KGFJITqEV/JPkFui6EYfGbdSmLPA8Tsbq0moOEK4y2EGsargzkxegkr/zjyef7GlxHPFNxuBlJTO6oCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T19:27:31.997259Z"},"content_sha256":"04bc9298aabbf187e91ae29b7d2d3e6c3b8ab0c4ef64a5587548436c3a7e030d","schema_version":"1.0","event_id":"sha256:04bc9298aabbf187e91ae29b7d2d3e6c3b8ab0c4ef64a5587548436c3a7e030d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:QXS2U4W5UUPW23BC7E4LYY47L6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adria Ruiz, Maja Pantic, Ognjen Rudovic, Xavier Binefa","submitted_at":"2016-09-06T10:00:26Z","abstract_excerpt":"In this paper, we address the Multi-Instance-Learning (MIL) problem when bag labels are naturally represented as ordinal variables (Multi--Instance--Ordinal Regression). Moreover, we consider the case where bags are temporal sequences of ordinal instances. To model this, we propose the novel Multi-Instance Dynamic Ordinal Random Fields (MI-DORF). In this model, we treat instance-labels inside the bag as latent ordinal states. The MIL assumption is modelled by incorporating a high-order cardinality potential relating bag and instance-labels,into the energy function. We show the benefits of the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.01465","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":"2026-05-18T01:05:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"938AyEtDztIpNc4pMGZf7+hyhLZg5ZZT4yq9y/5alFWcndAyXj0ImE7GhkX6fNHcLPYfFV7CvHvq+5hOzczLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T19:27:31.997613Z"},"content_sha256":"23e6cd64461437d9cca8cf88d50f4bd45962f5e798de140e1f6b214b042f36f0","schema_version":"1.0","event_id":"sha256:23e6cd64461437d9cca8cf88d50f4bd45962f5e798de140e1f6b214b042f36f0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QXS2U4W5UUPW23BC7E4LYY47L6/bundle.json","state_url":"https://pith.science/pith/QXS2U4W5UUPW23BC7E4LYY47L6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QXS2U4W5UUPW23BC7E4LYY47L6/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":"2026-05-30T19:27:32Z","links":{"resolver":"https://pith.science/pith/QXS2U4W5UUPW23BC7E4LYY47L6","bundle":"https://pith.science/pith/QXS2U4W5UUPW23BC7E4LYY47L6/bundle.json","state":"https://pith.science/pith/QXS2U4W5UUPW23BC7E4LYY47L6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QXS2U4W5UUPW23BC7E4LYY47L6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:QXS2U4W5UUPW23BC7E4LYY47L6","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":"71577d54aa0638329d8485fd6e9718469b9c16a23ca4e532d403c998d6819693","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-06T10:00:26Z","title_canon_sha256":"03cbe381487ed0182a63895e3be3cd712a6807411742ddfa7e2cd5ff37cf52e7"},"schema_version":"1.0","source":{"id":"1609.01465","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.01465","created_at":"2026-05-18T01:05:39Z"},{"alias_kind":"arxiv_version","alias_value":"1609.01465v1","created_at":"2026-05-18T01:05:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.01465","created_at":"2026-05-18T01:05:39Z"},{"alias_kind":"pith_short_12","alias_value":"QXS2U4W5UUPW","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"QXS2U4W5UUPW23BC","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"QXS2U4W5","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:23e6cd64461437d9cca8cf88d50f4bd45962f5e798de140e1f6b214b042f36f0","target":"graph","created_at":"2026-05-18T01:05:39Z","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":"In this paper, we address the Multi-Instance-Learning (MIL) problem when bag labels are naturally represented as ordinal variables (Multi--Instance--Ordinal Regression). Moreover, we consider the case where bags are temporal sequences of ordinal instances. To model this, we propose the novel Multi-Instance Dynamic Ordinal Random Fields (MI-DORF). In this model, we treat instance-labels inside the bag as latent ordinal states. The MIL assumption is modelled by incorporating a high-order cardinality potential relating bag and instance-labels,into the energy function. We show the benefits of the ","authors_text":"Adria Ruiz, Maja Pantic, Ognjen Rudovic, Xavier Binefa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-06T10:00:26Z","title":"Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.01465","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":"sha256:04bc9298aabbf187e91ae29b7d2d3e6c3b8ab0c4ef64a5587548436c3a7e030d","target":"record","created_at":"2026-05-18T01:05:39Z","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":"71577d54aa0638329d8485fd6e9718469b9c16a23ca4e532d403c998d6819693","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-06T10:00:26Z","title_canon_sha256":"03cbe381487ed0182a63895e3be3cd712a6807411742ddfa7e2cd5ff37cf52e7"},"schema_version":"1.0","source":{"id":"1609.01465","kind":"arxiv","version":1}},"canonical_sha256":"85e5aa72dda51f6d6c22f938bc639f5fa9ae7f4df755fc310a37588adabf92f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85e5aa72dda51f6d6c22f938bc639f5fa9ae7f4df755fc310a37588adabf92f7","first_computed_at":"2026-05-18T01:05:39.485444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:05:39.485444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BS2tRwDqTVg3AMZAZgHvjRoa6qFvXGzasOlphgG3ktiZXkXaNpePxvFzGJU1qOu0q9v1mqjtvs7cGSTLSuXPAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:05:39.486257Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.01465","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04bc9298aabbf187e91ae29b7d2d3e6c3b8ab0c4ef64a5587548436c3a7e030d","sha256:23e6cd64461437d9cca8cf88d50f4bd45962f5e798de140e1f6b214b042f36f0"],"state_sha256":"11256bd25a8c3216374e89faa4685568822b71b9e432e6e15739f5ff1723e4bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pVVObKcfTyktT6SrIyMaH2BnaK0AMtR2KdtxMNX9Mlk4dw1u0Bq1/c8JEpqLL+pqOo/t+ZBIW9WOyWpGjzUcAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T19:27:32.003960Z","bundle_sha256":"fb3c66e72de10fbd58915161a4575214b079e0f2ac6cbd70b85418652c619997"}}