Pith Number

pith:S4DUECI4

pith:2025:S4DUECI43RVMNMP3B6X7AVN3WS

not attested not anchored not stored refs pending

Adaptively Robust LLM Inference Optimization under Prediction Uncertainty

Yinyu Ye, Zijie Zhou, Zixi Chen

arxiv:2508.14544 v2 · 2025-08-20 · cs.LG · cs.AI · math.OC

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{S4DUECI43RVMNMP3B6X7AVN3WS}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

7 papers in Pith

Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice

Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints

Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale

A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints

Position: LLM Serving Needs Mathematical Optimization and Algorithmic Foundations, Not Just Heuristics

Receipt and verification

First computed	2026-07-05T12:02:50.488204Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

970742091cdc6ac6b1fb0faff055bbb4a57d4b96b410048f2ae850d952d19c84

Aliases

arxiv: 2508.14544 · arxiv_version: 2508.14544v2 · doi: 10.48550/arxiv.2508.14544 · pith_short_12: S4DUECI43RVM · pith_short_16: S4DUECI43RVMNMP3 · pith_short_8: S4DUECI4

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/S4DUECI43RVMNMP3B6X7AVN3WS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 970742091cdc6ac6b1fb0faff055bbb4a57d4b96b410048f2ae850d952d19c84

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b32e3ba5e3d1550bead12e5ea0189c46b2bd43f5017f00a758d1092723af7f99",
    "cross_cats_sorted": [
      "cs.AI",
      "math.OC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-08-20T08:55:26Z",
    "title_canon_sha256": "f1f3dc6f52b31b193f8ccf2af5135b0278459e7d44fb6050c227a8fe904f97b2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.14544",
    "kind": "arxiv",
    "version": 2
  }
}