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Lint report · stored run

ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

Yitong Han, Wei Gao, Yi Zhao, Prasanta Bhattacharya, Fengzhu Zeng, Mohammad Amanlou open the source paper via the report id, not the extraction source: pdf IR v1.0 generated 2026-09-14 04:10:45 UTC
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0errors
0warnings
0info
21claims read
474numbers extracted
69references
How well we read this paper 4 observations

These are notes about our reading of the paper, not about the paper. They affect how much weight the findings below can carry.

Extraction warning 2
  • ablation-labels-match-nothing None of the experiment ablation labels match any method component. Labels found: 'Only Stage 1'. Either the components were extracted with different wording, or these labels are baselines rather than ablations — in which case RL004 has no evidence that anything was ablated.
  • numbers-are-identifier-fragments 17 of 474 extracted numbers (4%) are digits inside identifiers, not measurements. e.g. '1' in 'Task\nModel/dataset\nConfiguration\nAccurac', '1' in 'Task\nModel/dataset\nConfiguration\nAccurac', '1' in 'Task\nModel/dataset\nConfiguration\nAccurac'. Rules that compare numbers across sections can report a contradiction between an identifier and a real value.
Note 2
  • compile-warning references: the reference list carries no entry numbers; citation keys are enumeration order [1]..[N], not labels printed in the paper, so a key may not match the [N] used in the body
  • compile-warning semantic extraction: dropped 1 items whose quote was not found in the paper
Some checks could not run
  • RL002 reported nothing, and it could not reach OpenAlex — so its silence here is not evidence that this paper is clean.
  • RL003 reported nothing, and it could not reach OpenAlex — so its silence here is not evidence that this paper is clean.

Everything else on this page was computed from the paper itself and is unaffected. This is a limit of this run, not a finding about the paper.

Compiler extraction log (2) 
references: the reference list carries no entry numbers; citation keys are enumeration order [1]..[N], not labels printed in the paper, so a key may not match the [N] used in the body
semantic extraction: dropped 1 items whose quote was not found in the paper

No findings on this paper.

That is a result, not a failure. The compiler read the paper without errors, and no rule found something it could prove with evidence — this product would rather say nothing than say something vague.

Read the extraction notes above before taking this as a clean bill of health: they say which checks were working with incomplete information.

Rule notes (30) 
RL001 funnel arithmetic: sentences_with_from=2 endpoint_pairs=0 claims_compared=0 emitted=0 [dropped: not-a-measurement=0]
RL001 funnel delta-column: structured_tables=6 with_exactly_one_delta_column=0 rows_checked=0 emitted=0
RL001 funnel cross-location: quant=474 prose=139 prose_with_metric=44 prose_with_dataset=0 prose_with_metric_and_dataset=0 distinct_buckets=0 emitted=0 [dropped: not-a-measurement=1 not-in-quote=20]
RL001 funnel identifier-drift: settings_checked=2 sections_stating_one_value=1 emitted=0
RL002 citation entailment: attempted 1 of 1 ranked cited claims (2 in-text markers from 69 bibliography entries); 0 cited works could not be identified, 1 had no retrievable text, 0 model quotes failed verbatim verification, 0 were topically unrelated to the retrieved text.
RL002 candidate ranking (why the top 1 were chosen): [1] [unknown, title/sentence overlap near zero, no DOI/arXiv id]
RL002: 1 markers skipped because the claim is jointly attributed to several works
RL003: 3 queries -> 124 unique works (arXiv search 50, category listings 0, scholarly graph 74 [crossref 74], 0 graph works matched to an arXiv id); source errors during retrieval: arXiv 0, graph 0
RL003: parsed the reference list of 10/12 comparable papers (2 unreadable) — that is the PeerUsage denominator
RL003: enriched 1 of 3 candidates with their own abstract (2 unavailable, 0 over budget); 0 dropped as published after this paper
RL003: scholarly graph for this run = crossref
RL003 funnel (485 candidates): cited_only_from_related_work -135, is_a_dataset -1, peer_usage_below_quorum -107, survey_or_artifact -42, title_names_no_method -197 || kept: citation_context_unknown +46 || survived-cheap-gates 3 -> with-abstract 1 -> comparable 3 -> above-threshold-0.65 0
RL003 candidate: 'PointCLIP v2' score 0.229 (T 0.00 D 0.00 M 0.67 P 0.30 R 0.71; 3/10 peers cite it; title-only, no abstract available) -> not reported
RL003 candidate: 'Ulip' score 0.229 (T 0.00 D 0.00 M 0.67 P 0.30 R 0.71; 3/10 peers cite it; title-only, no abstract available) -> not reported
RL003 candidate: 'Decoupled weight decay regularization' score 0.213 (T 0.00 D 0.00 M 0.67 P 0.40 R 0.00; 4/10 peers cite it) -> not reported
RL003: 3 comparable candidates all scored below 0.65 — nothing to report for this paper
RL004 funnel: components=10 contribution_backed=3 candidates=2 ablations_found=3 matched_by_ablation=2 unmatched=0 experiments=3
RL004 unresolved label(s): 'Only Stage 1' — names no single component, so it was not used as evidence
RL004 component M1 'ValueGraph': covered (filtered earlier)
RL004 component M2 'hierarchical contrastive learning framework': excluded:is-the-whole-method
RL004 component M3 'User-level contrastive loss Luser': covered (candidate)
RL004 component M4 'Clustering loss Lcls': covered (candidate)
RL004 component M5 'masked graph autoencoding paradigm of GraphMAE2': excluded:not-a-claimed-contribution
RL004 component M6 'ModernBERT': excluded:not-a-claimed-contribution
RL004 component M7 'MoralBERT': excluded:not-a-claimed-contribution
RL004 component M8 'symmetric percentile-based strategy': excluded:not-a-claimed-contribution
RL004 component M9 'Gaussian radial basis function kernel': excluded:not-a-claimed-contribution
RL004 component M10 'K-means clustering': excluded:not-a-claimed-contribution
RL004 funnel: ranked=0 emitted=0 suppressed_by_cap=0 dropped_unverified_quote=0
RL005: https://github.com/HanYiton/ValueGraph — read 30 files, 5 canonical params, 5 paper claims, 0 mismatches
Reading the report as data

This page is a rendering of the report the pipeline wrote. The JSON below is the stored artefact, unedited — the same document research-lint --format json produces. 

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