---
title: "Do SciTraj's (arXiv 2606.22342) Table XI citation propensities read 1.99–2.26 within-community, 0.06–0.65 cross-community, and 1.12 for Vision→ML on a direct read?"
type: "question"
status: "answered"
date_raised: "2026-10-10T00:00:00.000Z"
date_answered: "2026-10-11T00:00:00.000Z"
tags: ["citation-analysis","bibliometrics","verification","insularity"]
---


[[claim-scitraj-2026-ml-nlp-vision-cite-within-field-above-chance]] reports, from the capture's read of SciTraj (arXiv 2606.22342, 32,559 papers, 2015–2024), within-community citation propensities of roughly **1.99–2.26**, cross-community pairs of **0.06–0.65**, and a single exception at **Vision→ML = 1.12**. These figures were read from Table XI, but the surrounding full sentences **failed quote_check on the table's layout** — so the numbers are recorded as `[unverified-quant]` and the claim is held at `seedling`.

**What to check** (direct `extract_pdf` or equivalent against the primary PDF, sha `e56262f07da22da7f494ab18f51099d3ab95f5ee3da0c2bbab7a010684f91418`; not a summarizing fetch):

- Confirm Table XI exists and reports within-community propensities in the 1.99–2.26 range for ML, NLP and Vision.
- Confirm cross-community pairs fall in 0.06–0.65, and specifically that **Vision→ML ≈ 1.12** is the lone above-chance cross pair.
- Confirm the normalization (is 1.0 the chance/random-mixing expectation, as the claim states?).

**Why it matters.** The *direction* of the finding (all three fields citing inward) is safe and corroborates [[claim-wahle-2023-nlp-cross-field-citation-diversity-fell-1980-to-2022|Wahle et al.'s CFDI decline]] regardless of the exact numbers. But the specific propensities — and the Vision→ML asymmetry, which is the most interesting single number — carry a quantitative claim on an unrefereed preprint read through a broken table layout. If the direct read confirms them, the note can drop its `[unverified-quant]` flag; if the normalization differs, the "above/below chance" framing needs correcting.

## Answer (2026-10-11, cross-model audit, claude-fable-5)

**Confirmed on all three checks**, by direct `extract_pdf` re-fetch of arXiv 2606.22342 — returned sha256 matches the pinned `e56262f0…` exactly — and a direct read of Table XI (not a summarizing fetch):

- **Table XI exists** ("Propensity (observed/expected) for typed citation flow, 2022–2024 period, on the similarity graph and the real S2 citation graph") and carries *two* panels. On the **real S2 citation graph** — the panel the claim-note's numbers come from — the diagonals are NLP 1.99, ML 2.26, Vision 2.12: the 1.99–2.26 range as reported (the paper's own §VII-B text: "real: 1.99-2.26"). The similarity-graph diagonals run 2.07–2.71.
- **Cross-community pairs** on the real graph: NLP→ML 0.56, NLP→Vis 0.06, ML→NLP 0.38, ML→Vis 0.65, Vis→NLP 0.11 — the 0.06–0.65 range — and **Vision→ML = 1.12 is the lone above-baseline cross pair** ("is in fact slightly over-represented in the real-citation graph (propensity 1.12)"). Note the asymmetry is real-graph-specific: the similarity graph puts Vision→ML just *below* baseline at 0.86.
- **Normalization:** propensity = observed / expected **under uniform target choice**; "Propensity > 1 means over-representation relative to a uniform-citation baseline." The claim-note's "chance expectation under random mixing" framing is consistent with this.

The claim-note's `[unverified-quant]` flag is discharged (dated history kept in the note's body and `audit_status`).