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VerdictPal · editorial desk · 2026VerdictPal
Compare · Head-to-head

Pick two cards. See the diff.

Stat bars are editorial heuristics, methodology linked — not a fake benchmark leaderboard. Put two dossiers side by side and see where each one breaks.
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Compare · Card A / Card B·Head-to-head

Connected PapersvsElicit

These cards sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on speed and value for money; Elicit wins on citation honesty and privacy controls. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Connected Papers · avg
67
wins 7 of 16
Elicit · avg
65
wins 7 of 16
Fields differ
11
of 16 dossier rows
Receipts
17
sources + bench notes

Checked 2026-06-09 · Connected Papers·Checked 2026-06-09 · Elicit

Dossier fields

Sixteen fields, side by side.

No.FieldConnected PapersElicit
01Status · Editorial quality gateSolidSolid
02Editorial fit · 0–100 score75 / 10059 / 100
03CategoryAcademic discoveryResearch assistant
04Primary surfaceConsumer appProsumer SaaS
05Modalities
  • Text
  • Data
  • Text
  • Data
06Role in a stackVisual literature mapping and seed-paper explorationPaper discovery, evidence-table extraction, and systematic-review support
07Best for
  • Getting a visual overview of a new academic field from one known paper
  • Finding prior and derivative works around a seed article
  • Students who need a lightweight map before deeper database searching
  • Labs, groups, and libraries that want a simple visual literature analysis surface
  • Building structured evidence tables across many papers
  • Early-stage systematic review screening and extraction workflows
  • Researchers who need cited summaries plus column-based extraction, not just a chatbot answer
  • Policy, pharma, medtech, and academic teams that value sentence-level citations, PRISMA-style method traces, and auditable extraction
08Avoid if
  • You need exhaustive systematic-search recall or PRISMA audit trails
  • Your topic depends on books, niche non-English work, very new work, or metadata outside the graph’s coverage
  • You need more than five graphs/month but cannot justify Academic/Business pricing
  • You interpret graph proximity as relevance without reading abstracts, methods, and citations
  • You need a cheap casual search tool rather than a high-cost research workflow
  • Your review data, uploaded PDFs, or unpublished documents cannot leave local infrastructure without a DPA
  • You expect PRISMA-grade results without human screening, extraction checks, and protocol review
  • Your main need is reference management or citation writing rather than evidence synthesis
09Capabilities tracked
  • Similarity graphs
  • prior works
  • derivative works
  • multi-origin graphs
  • saved papers
  • graph history
  • Semantic Scholar Paper Corpus / S2 ORC basis
  • hundreds of millions of papers across scientific fields
  • free 5 graphs/month
  • Academic/Business unlimited plans
  • group plans
  • Academic Library access
  • Search across 138M+ papers
  • ClinicalTrials.gov source support
  • Paper chat with full-text access
  • Zotero import
  • Automated Reports
  • Systematic Review Workflow
  • Screening up to 5,000 papers on Pro and 40,000 on Enterprise
  • Extraction columns
  • Sentence-level citations
  • PRISMA/methods/search-strategy report outputs
  • API access
10Failure modes · Documented, not buried
  • Graphs can over-represent well-cited papers
  • Visual proximity can imply relevance prematurely
  • Underlying Semantic Scholar/S2 ORC corpus gaps become graph blind spots
  • Free quota constrains exploration
  • Search queries, seed papers, saved papers, and graph history expose research interests
  • Group/library access does not solve methodological completeness
  • Pricing jumps quickly from free to Pro/Scale
  • Structured tables and reports still require human validation
  • Uploaded papers/Zotero imports create cloud privacy boundary
  • Corpus and full-text coverage vary by discipline
  • Vendor accuracy claims need independent reproduction
  • Basic plan limits can distort real review workflows
11Evidence levelSynthesizedSynthesized
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Run five seed papers through Connected Papers, Research Rabbit, and Litmaps.
    Pending.
  • Compare how far the free 5-graph quota gets a student through a realistic literature-scoping assignment.
    Pending.
  • Use seeds in fields with books, non-English papers, and new preprints to inspect missing material.
    Pending.
  • Extract PICO/design/outcome fields from 20 papers and compare against a hand-coded table.
    Pending.
  • Screen 200 records with known include/exclude labels and distractors.
    Pending.
  • Generate a research report from a controlled paper set; verify every claim against sentence-level citations.
    Pending.
  • Model Basic, Pro, Scale, and Enterprise fit for a student thesis, policy brief, pharma SLR, and lab collaboration.
    Pending.
14Alternatives tracked
  • Research Rabbit
  • Litmaps
  • Semantic Scholar
  • VOSviewer
  • Elicit
  • Consensus
  • Scite
  • Semantic Scholar
  • Rayyan
  • Connected Papers
15Pricing checked2026-06-092026-06-09
16Last verified2026-06-092026-06-09
16 metrics

Sixteen numbers, one shared midline.

Connected PapersvsElicit

These cards sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on speed and value for money; Elicit wins on citation honesty and privacy controls. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

  1. Editorial fit
    Connected Papers75Elicit59
  2. Source quality
    Connected Papers55Elicit52
  3. Citation honesty
    Connected Papers66Elicit70
  4. Privacy controls
    Connected Papers36Elicit46
  5. Value for money
    Connected Papers90Elicit56
  6. Speed
    Connected Papers70Elicit58
  7. Integration
    Connected Papers61Elicit75
  8. Onboarding
    Connected Papers70Elicit58
  9. Reliability
    Connected Papers70Elicit70
  10. Feature depth
    Connected Papers94Elicit100
  11. Data portability
    Connected Papers49Elicit55
  12. Transparency
    Connected Papers98Elicit100
  13. Ecosystem reach
    Connected Papers61Elicit75
  14. Documentation
    Connected Papers55Elicit52
  15. Independence
    Connected Papers36Elicit46
  16. Affordability
    Connected Papers89Elicit67
Connected Papers · avg 67 · wins 7 of 160avg 65 · wins 7 of 16 · Elicit
EvidenceConnected Papers 2 · Elicit 2
  1. 01Editorial fit
    75
    59
  2. 02Source quality
    55
    52
  3. 03Citation honesty
    66
    70
  4. 04Privacy controls
    36
    46
PrivacyConnected Papers 3 · Elicit 1
  1. 05Value for money
    90
    56
  2. 06Speed
    70
    58
  3. 07Integration
    61
    75
  4. 08Onboarding
    70
    58
CapabilityConnected Papers 0 · Elicit 2
  1. 09Reliability
    70
    70
  2. 10Feature depth
    94
    100
  3. 11Data portability
    49
    55
  4. 12Transparency
    98
    100
Cost & fitConnected Papers 2 · Elicit 2
  1. 13Ecosystem reach
    61
    75
  2. 14Documentation
    55
    52
  3. 15Independence
    36
    46
  4. 16Affordability
    89
    67
CARD A · Connected Papers
Academic discovery
Connected Papers
75/100
ROLEVisual literature mapping and seed-paper exploration
Editorial fit
75
Source quality
55
Citation honesty
66
Privacy controls
36
Value for money
90
Speed
70
FREEFree
CUSTOMAcademic
CUSTOMBusiness
SolidVerified 2026-06-09VP·METHOD

Visual literature mapping and seed-paper exploration — Visual academic discovery tool that builds similarity graphs from a seed paper to surface related, prior, derivative, and multi-origin paper clusters for literature mapping.

CARD B · Elicit
Research assistant
Elicit
59/100
ROLEPaper discovery, evidence-table extraction, and systematic-review support
Editorial fit
59
Source quality
52
Citation honesty
70
Privacy controls
46
Value for money
56
Speed
58
FREEBasic
$49/MOPro
$169/MOScale
SolidVerified 2026-06-09VP·METHOD

Paper discovery, evidence-table extraction, and systematic-review support — AI research assistant for searching, summarizing, chatting with papers, screening studies, extracting fields, generating research reports, and supporting systematic reviews across large scientific corpora and uploaded documents.

Privacy facets

Where each card is actually private.

Connected PapersElicit
Training on your dataUnknownUnknown: Not statedYesYes: Off by default
EU data residencyNoNo: Not documentedPartialPartial: Enterprise tier only
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyNoNo: Cloud only
Capability split

What each card does uniquely.

Only Connected Papers12

  • Similarity graphs
  • prior works
  • derivative works
  • multi-origin graphs
  • saved papers
  • graph history
  • Semantic Scholar Paper Corpus / S2 ORC basis
  • hundreds of millions of papers across scientific fields
  • free 5 graphs/month
  • Academic/Business unlimited plans
  • group plans
  • Academic Library access

Shared0

No overlap detected.

Only Elicit11

  • Search across 138M+ papers
  • ClinicalTrials.gov source support
  • Paper chat with full-text access
  • Zotero import
  • Automated Reports
  • Systematic Review Workflow
  • Screening up to 5,000 papers on Pro and 40,000 on Enterprise
  • Extraction columns
  • Sentence-level citations
  • PRISMA/methods/search-strategy report outputs
  • API access
Failure modes

Where each card breaks.

Connected Papers

  • Graphs can over-represent well-cited papers
  • Visual proximity can imply relevance prematurely
  • Underlying Semantic Scholar/S2 ORC corpus gaps become graph blind spots
  • Free quota constrains exploration
  • Search queries, seed papers, saved papers, and graph history expose research interests
  • Group/library access does not solve methodological completeness

Elicit

  • Pricing jumps quickly from free to Pro/Scale
  • Structured tables and reports still require human validation
  • Uploaded papers/Zotero imports create cloud privacy boundary
  • Corpus and full-text coverage vary by discipline
  • Vendor accuracy claims need independent reproduction
  • Basic plan limits can distort real review workflows
Pricing

Pulled straight from each dossier.

Connected Papers

Academic discovery
  • FREEFree
  • CUSTOMAcademic
  • CUSTOMBusiness

raw · Free: 5 graphs/month with all features. Academic and Business: unlimited graphs/all features. Group plans add seat management and single invoice. Academic Library offers unlimited graphs, all features, open access for students/staff, and email/IP/SSO access options.

Elicit

Research assistant
  • FREEBasic
  • $49/MOPro
  • $169/MOScale

raw · Basic free: 2 reports/mo, search/summaries/chat, 2 columns · Pro USD 49/user/mo billed annually: 5,000-paper systematic review workflow, 144 reports/reviews/yr, 20 columns, API · Scale USD 169/user/mo annual: collaboration, figures, 240 reports/reviews/yr, 30 columns · Enterprise custom.

Verdict

Which card to actually pick.

These cards sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on speed and value for money; Elicit wins on citation honesty and privacy controls. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Open Connected Papers's dossierOpen Elicit's dossier
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