{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreib7gupj5jjrpfqjasdc36hh6mx53wu2iwwympq5y2x7smi4j7cy2e",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mh5c5qabhlk2"
  },
  "path": "/t/request-for-arxiv-cs-lg-endorsement-empirical-study-on-llm-internal-feedback-signals/174292#post_1",
  "publishedAt": "2026-03-15T20:11:27.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "airVen/missing-value-function-interim-report",
    "10.5281/zenodo.18941566",
    "Log in to arXiv | arXiv e-print repository"
  ],
  "textContent": "Hi everyone,\n\nI’m an independent researcher preparing my first arXiv submission in cs.LG. The paper, “The Hidden Value Function,” investigates whether transformers lack an internal feedback mechanism analogous to biological valence systems.\n\n**Key contributions:**\n\n  * Empirical evidence that cosine similarity between late-layer hidden states (~96% depth in Qwen2.5-7B) tracks coherence during code generation — but the signal is ambiguous (high similarity marks both productive convergence and pathological stagnation)\n  * A negative result series showing that post-hoc intervention (prompt injection, temperature modulation) is architecturally insufficient\n  * A boundary analysis at the model’s capability frontier (6→7 transition = 0/214), diagnosing the failure as a coordination problem rather than a capability gap\n  * Theoretical grounding in Damasio’s Somatic Marker Hypothesis and Sutskever’s “jaggedness” framing\n\n\n\nThe interim report and supplementary materials (including hook code) are available on HuggingFace: airVen/missing-value-function-interim-report\n\nZenodo DOI: 10.5281/zenodo.18941566\n\nIf you have endorsement privileges for cs.LG and would be willing to review my work, I’d be very grateful.\n\n**Endorsement Code: ZNKSOR**\nTo endorse, visit: Log in to arXiv | arXiv e-print repository\n\nHappy to share the full manuscript on request. Thank you!",
  "title": "Request for arXiv cs.LG Endorsement — Empirical Study on LLM Internal Feedback Signals"
}