{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4DV47JEVOV5MH7TPA3PNIZ3RNR","short_pith_number":"pith:4DV47JEV","canonical_record":{"source":{"id":"2507.13779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-18T09:42:39Z","cross_cats_sorted":[],"title_canon_sha256":"46abaf4531d77d067c386d42c374242d7737e4a55400ab2ccab38463d135a148","abstract_canon_sha256":"88165348dbe26fab222af9c61063628fc8f8c7df9fe61aace5f19f60907a4703"},"schema_version":"1.0"},"canonical_sha256":"e0ebcfa495757ac3fe6f06ded467716c6877f340aa328d6db88b4fb6fa75681d","source":{"kind":"arxiv","id":"2507.13779","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.13779","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"arxiv_version","alias_value":"2507.13779v1","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13779","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"pith_short_12","alias_value":"4DV47JEVOV5M","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"pith_short_16","alias_value":"4DV47JEVOV5MH7TP","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"pith_short_8","alias_value":"4DV47JEV","created_at":"2026-07-05T11:39:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4DV47JEVOV5MH7TPA3PNIZ3RNR","target":"record","payload":{"canonical_record":{"source":{"id":"2507.13779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-18T09:42:39Z","cross_cats_sorted":[],"title_canon_sha256":"46abaf4531d77d067c386d42c374242d7737e4a55400ab2ccab38463d135a148","abstract_canon_sha256":"88165348dbe26fab222af9c61063628fc8f8c7df9fe61aace5f19f60907a4703"},"schema_version":"1.0"},"canonical_sha256":"e0ebcfa495757ac3fe6f06ded467716c6877f340aa328d6db88b4fb6fa75681d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:22.875481Z","signature_b64":"1WtsQJiio+fZfy4tW5c2q4kXubDKzPdeFzhRR+5+6yEP7uH3hbgVXs1pIksrrlyZcIYwACmCEPNsgRn9gODdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0ebcfa495757ac3fe6f06ded467716c6877f340aa328d6db88b4fb6fa75681d","last_reissued_at":"2026-07-05T11:39:22.874072Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:22.874072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.13779","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":"2026-07-05T11:39:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wyQMUNus1lAaBnzxwiyHvRDUwO7vpSQea2m3DwpXNo9Vas/oKIL2eVF9ecGJqsBl3qGi07E7Tg9ftI13/j/LBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:48:14.155264Z"},"content_sha256":"4bc8a5be758f6401af4bb27ae811211f6ed00f7be00867dda020268c9faeb98b","schema_version":"1.0","event_id":"sha256:4bc8a5be758f6401af4bb27ae811211f6ed00f7be00867dda020268c9faeb98b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4DV47JEVOV5MH7TPA3PNIZ3RNR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahc\\`ene Boubekki, Durgesh Singh, Michael Kampffmeyer, Robert Jenssen","submitted_at":"2025-07-18T09:42:39Z","abstract_excerpt":"Semi-Supervised Learning (SSL) and Unsupervised Domain Adaptation (UDA) enhance the model performance by exploiting information from labeled and unlabeled data. The clustering assumption has proven advantageous for learning with limited supervision and states that data points belonging to the same cluster in a high-dimensional space should be assigned to the same category. Recent works have utilized different training mechanisms to implicitly enforce this assumption for the SSL and UDA. In this work, we take a different approach by explicitly involving a differentiable clustering module which "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13779","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/2507.13779/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":"2026-07-05T11:39:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nbnXpjlOAmrwVJ+biJDnaMh8hKBFBaxZoaYJv2oAyPMOs1IOxhHuv1detdP/eiqsCw0YX8Qk7xCf+KDotu4TAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:48:14.155802Z"},"content_sha256":"646f321bc27265c3ba6893e77fddc74eed32cc729d42f9050f23a71927a3b52a","schema_version":"1.0","event_id":"sha256:646f321bc27265c3ba6893e77fddc74eed32cc729d42f9050f23a71927a3b52a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR/bundle.json","state_url":"https://pith.science/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR/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":"2026-08-03T15:48:14Z","links":{"resolver":"https://pith.science/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR","bundle":"https://pith.science/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR/bundle.json","state":"https://pith.science/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4DV47JEVOV5MH7TPA3PNIZ3RNR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4DV47JEVOV5MH7TPA3PNIZ3RNR","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":"88165348dbe26fab222af9c61063628fc8f8c7df9fe61aace5f19f60907a4703","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-18T09:42:39Z","title_canon_sha256":"46abaf4531d77d067c386d42c374242d7737e4a55400ab2ccab38463d135a148"},"schema_version":"1.0","source":{"id":"2507.13779","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.13779","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"arxiv_version","alias_value":"2507.13779v1","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13779","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"pith_short_12","alias_value":"4DV47JEVOV5M","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"pith_short_16","alias_value":"4DV47JEVOV5MH7TP","created_at":"2026-07-05T11:39:22Z"},{"alias_kind":"pith_short_8","alias_value":"4DV47JEV","created_at":"2026-07-05T11:39:22Z"}],"graph_snapshots":[{"event_id":"sha256:646f321bc27265c3ba6893e77fddc74eed32cc729d42f9050f23a71927a3b52a","target":"graph","created_at":"2026-07-05T11:39:22Z","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/2507.13779/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-Supervised Learning (SSL) and Unsupervised Domain Adaptation (UDA) enhance the model performance by exploiting information from labeled and unlabeled data. The clustering assumption has proven advantageous for learning with limited supervision and states that data points belonging to the same cluster in a high-dimensional space should be assigned to the same category. Recent works have utilized different training mechanisms to implicitly enforce this assumption for the SSL and UDA. In this work, we take a different approach by explicitly involving a differentiable clustering module which ","authors_text":"Ahc\\`ene Boubekki, Durgesh Singh, Michael Kampffmeyer, Robert Jenssen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-18T09:42:39Z","title":"SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13779","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":"sha256:4bc8a5be758f6401af4bb27ae811211f6ed00f7be00867dda020268c9faeb98b","target":"record","created_at":"2026-07-05T11:39:22Z","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":"88165348dbe26fab222af9c61063628fc8f8c7df9fe61aace5f19f60907a4703","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-18T09:42:39Z","title_canon_sha256":"46abaf4531d77d067c386d42c374242d7737e4a55400ab2ccab38463d135a148"},"schema_version":"1.0","source":{"id":"2507.13779","kind":"arxiv","version":1}},"canonical_sha256":"e0ebcfa495757ac3fe6f06ded467716c6877f340aa328d6db88b4fb6fa75681d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0ebcfa495757ac3fe6f06ded467716c6877f340aa328d6db88b4fb6fa75681d","first_computed_at":"2026-07-05T11:39:22.874072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:22.874072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1WtsQJiio+fZfy4tW5c2q4kXubDKzPdeFzhRR+5+6yEP7uH3hbgVXs1pIksrrlyZcIYwACmCEPNsgRn9gODdCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:22.875481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.13779","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4bc8a5be758f6401af4bb27ae811211f6ed00f7be00867dda020268c9faeb98b","sha256:646f321bc27265c3ba6893e77fddc74eed32cc729d42f9050f23a71927a3b52a"],"state_sha256":"7737495183227548101c6afd658ca4cb6690c554dda2d7114d0f8013fc0003dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fsKYotmZFqadmgGsSD6gVX+6hDRM9BXxbl8colwLmgLobQnFqY/b5f8nKT5ayj/C8kYRcj7TS30COVcYFOr8Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:48:14.159629Z","bundle_sha256":"4e3888cfebee4b904257834af3c5f8309e655f2181866c13de266d66a03b967c"}}