{
  "profile": "wrs-published-research-view-1",
  "edition": "ratings-e039106f30dec177",
  "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS",
  "entry": {
    "id": "zaheer-et-al-deep-sets-2017",
    "title": "Zaheer and colleagues: Deep Sets",
    "summary": "Characterized a structured family of permutation-invariant set functions and used it to design neural architectures for learning on sets, with demonstrations on several tasks.",
    "boundary": "The theorem has stated domain and continuity conditions, and the experiments cover selected tasks. The record does not claim universal practical superiority, solve arbitrary relational reasoning or absorb later set and graph architectures.",
    "area": "Neural and deep learning",
    "topic": "Artificial intelligence",
    "year": 2017,
    "lane": "HUMAN",
    "result": "FORMALIZATION",
    "package_id": "zaheer-et-al-deep-sets-2017",
    "target": {
      "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
      "version": 1,
      "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
    },
    "humans": [
      "Manzil Zaheer",
      "Satwik Kottur",
      "Siamak Ravanbakhsh",
      "Barnabás Póczos",
      "Ruslan Salakhutdinov",
      "Alexander J. Smola"
    ],
    "authors_complete": true,
    "human_role_note": "The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.",
    "agents": [],
    "related": [],
    "subresults": [],
    "scientific_assessment": {
      "source_review": "SOURCE_CURATED",
      "scientific_review": "NOT_REVIEWED_BY_WRS",
      "formal_replay": "NOT_RUN",
      "provider_attestation": "NONE"
    },
    "sources": [
      {
        "id": "neurips-zaheer-deep-sets-2017",
        "title": "Official NeurIPS record for Deep Sets",
        "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
      },
      {
        "id": "arxiv-zaheer-deep-sets-2017",
        "title": "Author manuscript for Deep Sets",
        "url": "https://arxiv.org/abs/1703.06114"
      }
    ],
    "geography": {
      "country_codes": [
        "US"
      ],
      "location_basis": "Documented research locations or paper affiliations for this contribution. Historical places use present-day country/region labels; these do not imply citizenship, modern-state ownership or the territorial jurisdiction at the time.",
      "source_url": "https://arxiv.org/pdf/1703.06114",
      "target": {
        "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
        "version": 1,
        "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
      },
      "basis": "RESEARCH_LOCATION_OR_PAPER_AFFILIATION",
      "reviewed_on": "2026-09-26",
      "nationality_inferred": false,
      "sources": [
        {
          "title": "Attribution source",
          "url": "https://arxiv.org/pdf/1703.06114"
        }
      ],
      "coverage_status": "COMPLETE",
      "country_labels": {
        "US": "United States"
      }
    },
    "points": "155000",
    "published_grade": {
      "id": "zaheer-et-al-deep-sets-2017",
      "entry_id": "zaheer-et-al-deep-sets-2017",
      "band": "A",
      "modifier": "+",
      "target": {
        "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
        "version": 1,
        "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
      },
      "what_changed": "Characterized invariant set-function form under stated conditions and designed pooling-based Deep Sets models.",
      "scope": "The theorem has stated domain and continuity conditions, and the experiments cover selected tasks. The record does not claim universal practical superiority, solve arbitrary relational reasoning or absorb later set and graph architectures.",
      "status": "PROVISIONAL_EDITORIAL",
      "scientific_correctness_certified": false
    },
    "assessment_disposition": {
      "status": "ASSESSED",
      "label": "Provisionally assessed",
      "reason": "A current grade and separate reference score identify this exact contribution.",
      "target": {
        "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
        "version": 1,
        "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
      },
      "edition": "ratings-e039106f30dec177"
    }
  },
  "version": {
    "kind": "PUBLIC_RECORD_VIEW",
    "previous": null,
    "published_at": "2026-09-25T00:00:00Z",
    "publisher": {
      "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33",
      "role": "WRS_EDITORIAL_PUBLICATION"
    },
    "record": {
      "contributors": [
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Manzil Zaheer",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formalizer"
          ],
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Satwik Kottur",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formalizer"
          ],
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Siamak Ravanbakhsh",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formalizer"
          ],
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Barnabás Póczos",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formalizer"
          ],
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Ruslan Salakhutdinov",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formalizer"
          ],
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Alexander J. Smola",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formalizer"
          ],
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        }
      ],
      "evidence": [
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-0",
          "kind": "source_reference",
          "source": {
            "citation": "Official NeurIPS record for Deep Sets",
            "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
          }
        },
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-1",
          "kind": "source_reference",
          "source": {
            "citation": "Author manuscript for Deep Sets",
            "url": "https://arxiv.org/abs/1703.06114"
          }
        }
      ],
      "origin": "HUMAN_LEGACY",
      "record_profile": "wrs-local-research-notes-0.1",
      "record_type": "research_note",
      "rrp_version": "0.1",
      "scope": {
        "description": "The theorem has stated domain and continuity conditions, and the experiments cover selected tasks. The record does not claim universal practical superiority, solve arbitrary relational reasoning or absorb later set and graph architectures.",
        "domain": "Neural and deep learning"
      },
      "sources": [
        {
          "citation": "Official NeurIPS record for Deep Sets",
          "url": "https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html"
        },
        {
          "citation": "Author manuscript for Deep Sets",
          "url": "https://arxiv.org/abs/1703.06114"
        }
      ],
      "statement": "# Zaheer and colleagues: Deep Sets\n\nCharacterized a structured family of permutation-invariant set functions and used it to design neural architectures for learning on sets, with demonstrations on several tasks.\n\n## Scientific scope\n\nThe theorem has stated domain and continuity conditions, and the experiments cover selected tasks. The record does not claim universal practical superiority, solve arbitrary relational reasoning or absorb later set and graph architectures.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nManzil Zaheer; Satwik Kottur; Siamak Ravanbakhsh; Barnabás Póczos; Ruslan Salakhutdinov; Alexander J. Smola\n\nThe named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.\n\n\n\n## Original sources\n\n- [Official NeurIPS record for Deep Sets](https://proceedings.neurips.cc/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html)\n- [Author manuscript for Deep Sets](https://arxiv.org/abs/1703.06114)\n",
      "summary": "Characterized a structured family of permutation-invariant set functions and used it to design neural architectures for learning on sets, with demonstrations on several tasks.",
      "title": "Zaheer and colleagues: Deep Sets"
    },
    "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
    "version": 1,
    "source_ref": {
      "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
      "version": 1,
      "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
    },
    "export_view": "wrs-public-editorial-view-1",
    "public_view_hash": "sha256:a81b604e18bd45c3790ca6ffc42e90ba87610af782deac6558d8c9237da4c6bb"
  },
  "target": {
    "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
    "version": 1,
    "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
  },
  "published_grade": {
    "profile": "wrs-published-grade-1",
    "edition": "2026-10-28.1",
    "id": "zaheer-et-al-deep-sets-2017",
    "entry_id": "zaheer-et-al-deep-sets-2017",
    "revision": 1,
    "title": "Zaheer and colleagues: Deep Sets",
    "context": "Neural and deep learning",
    "track": "FORMALIZATION",
    "band": "A",
    "modifier": "+",
    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-09-25",
    "evidence_cutoff": "2026-09-25",
    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Characterized invariant set-function form under stated conditions and designed pooling-based Deep Sets models.",
    "scope": "The theorem has stated domain and continuity conditions, and the experiments cover selected tasks. The record does not claim universal practical superiority, solve arbitrary relational reasoning or absorb later set and graph architectures.",
    "evidence_summary": "The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The theorem has stated domain and continuity conditions, and the experiments cover selected tasks. The record does not claim universal practical superiority, solve arbitrary relational reasoning or absorb later set and graph architectures.",
    "references": [
      {
        "title": "Zaheer and colleagues: Deep Sets",
        "url": "https://papers.neurips.cc/paper_files/paper/2017/hash/f22e4747da1aa27e363d86d40ff442fe-Abstract.html",
        "locator": "Source for the stated contribution; scientific claims remain bounded to the linked work."
      }
    ],
    "roles": [
      {
        "who": "Manzil Zaheer",
        "credit": "SCIENCE",
        "did": "Named source author of the scoped work; individual effort shares are not measured."
      },
      {
        "who": "Satwik Kottur",
        "credit": "SCIENCE",
        "did": "Named source author of the scoped work; individual effort shares are not measured."
      },
      {
        "who": "Siamak Ravanbakhsh",
        "credit": "SCIENCE",
        "did": "Named source author of the scoped work; individual effort shares are not measured."
      },
      {
        "who": "Barnabás Póczos",
        "credit": "SCIENCE",
        "did": "Named source author of the scoped work; individual effort shares are not measured."
      },
      {
        "who": "Ruslan Salakhutdinov",
        "credit": "SCIENCE",
        "did": "Named source author of the scoped work; individual effort shares are not measured."
      },
      {
        "who": "Alexander J. Smola",
        "credit": "SCIENCE",
        "did": "Named source author of the scoped work; individual effort shares are not measured."
      }
    ],
    "target": {
      "record_id": "urn:uuid:8bd05671-d57e-41a3-a175-8d6cd7f7f02d",
      "version": 1,
      "content_hash": "sha256:17ac2739b67821d01d42ec4ee0efb542a9339db9eb4468782c04144e8a9b6983"
    },
    "scientific_correctness_certified": false,
    "independent_expert_calibration": false,
    "method": "PROPRIETARY",
    "points": "155000"
  },
  "canonical_agent_submission": false,
  "scientific_verification_awarded": false,
  "reader_guide": null,
  "reading_status": "SOURCE_LINKED_NOTE"
}