← back
arXiv cached graph evidence observed 2026-07-18 18:42:44

Cached graph evidence — Yang Liu AUTHORED A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning

https://arxiv.org/abs/2607.14373v1 ↗

Extracted entities

{
  "status": "Raw JSONL unavailable; reconstructed from graph edge provenance.",
  "relations": [
    {
      "edge_type": "AUTHORED",
      "from": {
        "kind": "founder",
        "name": "Yang Liu"
      },
      "to": {
        "kind": "paper",
        "name": "A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning"
      },
      "valid_at": "2026-07-15T21:22:50+00:00",
      "provenance": {
        "source": "arxiv",
        "extractor": "ingest-v1",
        "confidence": 0.7,
        "source_url": "https://arxiv.org/abs/2607.14373v1",
        "observed_at": "2026-07-18T18:42:44.454660+00:00",
        "source_signal_id": "5df04466972fa909"
      }
    },
    {
      "edge_type": "AUTHORED",
      "from": {
        "kind": "founder",
        "name": "Yuhao Liu"
      },
      "to": {
        "kind": "paper",
        "name": "A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning"
      },
      "valid_at": "2026-07-15T21:22:50+00:00",
      "provenance": {
        "source": "arxiv",
        "extractor": "ingest-v1",
        "confidence": 0.7,
        "source_url": "https://arxiv.org/abs/2607.14373v1",
        "observed_at": "2026-07-18T18:42:44.454660+00:00",
        "source_signal_id": "5df04466972fa909"
      }
    },
    {
      "edge_type": "AUTHORED",
      "from": {
        "kind": "founder",
        "name": "Yunran Wei"
      },
      "to": {
        "kind": "paper",
        "name": "A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning"
      },
      "valid_at": "2026-07-15T21:22:50+00:00",
      "provenance": {
        "source": "arxiv",
        "extractor": "ingest-v1",
        "confidence": 0.7,
        "source_url": "https://arxiv.org/abs/2607.14373v1",
        "observed_at": "2026-07-18T18:42:44.454660+00:00",
        "source_signal_id": "5df04466972fa909"
      }
    }
  ]
}

Raw payload (verbatim — the evidence)

{
  "signal_id": "5df04466972fa909",
  "raw_payload_status": "unavailable",
  "provenance": {
    "source": "arxiv",
    "extractor": "ingest-v1",
    "confidence": 0.7,
    "source_url": "https://arxiv.org/abs/2607.14373v1",
    "observed_at": "2026-07-18T18:42:44.454660+00:00",
    "source_signal_id": "5df04466972fa909"
  },
  "relations": [
    {
      "edge_type": "AUTHORED",
      "from": {
        "kind": "founder",
        "name": "Yang Liu"
      },
      "to": {
        "kind": "paper",
        "name": "A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning"
      },
      "valid_at": "2026-07-15T21:22:50+00:00",
      "provenance": {
        "source": "arxiv",
        "extractor": "ingest-v1",
        "confidence": 0.7,
        "source_url": "https://arxiv.org/abs/2607.14373v1",
        "observed_at": "2026-07-18T18:42:44.454660+00:00",
        "source_signal_id": "5df04466972fa909"
      }
    },
    {
      "edge_type": "AUTHORED",
      "from": {
        "kind": "founder",
        "name": "Yuhao Liu"
      },
      "to": {
        "kind": "paper",
        "name": "A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning"
      },
      "valid_at": "2026-07-15T21:22:50+00:00",
      "provenance": {
        "source": "arxiv",
        "extractor": "ingest-v1",
        "confidence": 0.7,
        "source_url": "https://arxiv.org/abs/2607.14373v1",
        "observed_at": "2026-07-18T18:42:44.454660+00:00",
        "source_signal_id": "5df04466972fa909"
      }
    },
    {
      "edge_type": "AUTHORED",
      "from": {
        "kind": "founder",
        "name": "Yunran Wei"
      },
      "to": {
        "kind": "paper",
        "name": "A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning"
      },
      "valid_at": "2026-07-15T21:22:50+00:00",
      "provenance": {
        "source": "arxiv",
        "extractor": "ingest-v1",
        "confidence": 0.7,
        "source_url": "https://arxiv.org/abs/2607.14373v1",
        "observed_at": "2026-07-18T18:42:44.454660+00:00",
        "source_signal_id": "5df04466972fa909"
      }
    }
  ]
}
signal 5df04466972fa909 · 5df04466972fa909