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Now in beta

From literature
to argument.

The research workspace that maps what the field argues — and helps you build what you argue.

Answer engines summarize. PaperChase holds your corpus, scores it against your question, maps the debate, and turns your evidence into a defensible argument. For researchers who are done reading papers to figure out which papers to read.

Free to start · No credit card required · PhD-grade research tooling

app.paperchase.ai / concepts / attention-mechanisms / expand
Concepts
Attention Mechanisms
Transformer self-attention variants
847 papers 92 scored
Memory Consolidation
Hippocampal replay models
312 papers
Continual Learning
Catastrophic forgetting
189 papers
Research Inbox
4
Items to review
Discover Analyze View
847 in corpus · 312 scored · Showing 47
Paper Authors Year Score Role
Flash Attention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Dao et al.
2022
94
extends
Attention Is All You Need
Vaswani et al.
2017
91
supports
Longformer: The Long-Document Transformer
Beltagy et al.
2020
88
extends
Rethinking the Role of Attention in Transformers for Vision
Wang et al.
2023
72
challenges
Linear Transformers Are Secretly Fast Weight Programmers
Schmidhuber et al.
2021
68
reviews
Sparse is Enough in Scaling Transformers
Jaszczur et al.
2021
41
extends
Flash Attention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Dao, Fu, Ermon, Rudra, Ré · NeurIPS 2022
Relevance Score
94
High relevance — directly addresses IO-aware attention computation for large-scale models
Argumentation Role
extends methodological
Abstract
We propose FlashAttention, an IO-aware exact attention algorithm that uses tiling to reduce the number of memory read/writes between GPU high bandwidth memory and on-chip SRAM. We analyze the IO complexity of attention and show that FlashAttention requires O(N²/M) HBM accesses…
Field Debate Map
"No clear stance" abstention
Evidence Map
Argument Critique
Living Literature Monitor
4-tier PDF retrieval
Highlight-to-draft chain
Corpus Chat
Zotero sync (cloud + desktop)
Field Debate share links
Write + DOCX export
Outline Import
Working sets + dismiss-similar
Literature Landscape
BibTeX / Markdown / DOCX export
Field Debate Map
"No clear stance" abstention
Evidence Map
Argument Critique
Living Literature Monitor
4-tier PDF retrieval
Highlight-to-draft chain
Corpus Chat
Zotero sync (cloud + desktop)
Field Debate share links
Write + DOCX export
Outline Import
Working sets + dismiss-similar
Literature Landscape
BibTeX / Markdown / DOCX export
The problem

You don't have a
reading problem.
You have a triage problem.

Every literature review tool treats research as an information retrieval problem: find papers, read papers, store papers.

PaperChase is built on a different premise — that literature review is ultimately an argument-construction problem. Researchers don't need more papers. They need to understand how the literature positions their argument, where the gaps are, and which evidence carries weight for their specific claim.

"Relevance isn't a property of a paper. It's a property of the relationship between a paper and your argument."

400
papers found. 380 irrelevant. PaperChase figures that out before you open them.
80%
of research time spent managing papers instead of building arguments. PaperChase inverts this ratio.
5
tools you're juggling — Scholar, Zotero, a PDF viewer, a notes app, and Word. PaperChase closes the loop.
What stays yours

Built to cut the busywork —
never to think in your place.

A literature review is full of work that doesn't need you specifically: chasing citations, deduplicating results, sorting the relevant from the irrelevant. That's the work PaperChase points AI at. The reading, the weighing of evidence, and the argument you build from it stay yours.

It won't write your argument or invent a source. It clears the tedium so your thinking has room to work.

The workflow

Four phases, one environment

PaperChase is organized around how research moves — from framing a question to building a defensible argument. Each phase flows into the next, with nothing lost at the handoff.

01
Frame.
Tell PaperChase what you're actually investigating — a question and a framing, not a keyword. This is the context that makes every downstream judgment meaningful.
02
Curate.
Bring in foundational papers, or your whole Zotero library. Trawl the citation graph outward. Score everything against your concept. Dismiss what doesn't belong; keep the corpus intact.
03
Analyze.
Read with the debate map open. Chat with your corpus and get cited answers. See the field from altitude in the Landscape. Find the gaps.
04
Build.
Claims on a canvas. Evidence attached from the PDFs you highlighted. A critique that tells you where the argument is thin. A DOCX draft with the citations in place.
Stay current.

The Living Literature Monitor watches hourly. New work arrives pre-scored and pre-classified — and if something challenges your central claim, it's flagged as exactly that.

Features

Intelligence at every phase

Trust

Trust you can inspect.

Every stance call carries its reasoning and confidence. Uncertain papers are labeled "No clear stance" instead of guessed — and the system behind it is graded against expert panels.

Scoring

Scored to your question, not the topic.

The same paper can be foundational to one concept and noise to another. PaperChase scores against your framing, and learns from your overrides.

Triage

From 500 papers to a list you can finish.

Trawl, score, and triage before you read. Read the 20 papers that matter before the 200 that might.

Debate Map

A map of the field's actual debate.

Camps, stances, reasons, and confidence — refreshed as new work arrives without churning what you've studied, shareable as one read-only link.

Argument

Your argument as an object.

Claims on a canvas, evidence attached from your PDFs, a critique that finds the thin spots, a DOCX draft at the end.

Handoff

Nothing dies at the handoff.

The highlight you make in March is a citation in your September draft.

The differentiator

Where reading becomes an argument

Every other tool stops at "here are the relevant papers." PaperChase keeps going — into the work of turning those papers into a position you can defend.

Evidence Map
Thesis
IO-aware attention is the dominant efficiency lever at scale
Reason
Memory bandwidth, not FLOPs, bounds attention
Reason
Tiling reduces HBM reads/writes measurably
Open question
Does this hold for sub-quadratic variants?
Objection
Linear-attention work disputes the premise
Argument Critique
Soundness · Moderate
Core claim is well-supported
Two independent reasons, each backed by evidence from your corpus.
Unaddressed objection
The linear-attention counter-position has no response in your argument. Three papers in your corpus argue this directly.
Scope ambiguity
Your thesis claims "at scale" but your evidence is drawn from a single model family.
Then write it up — and export to Word, citations intact.
Positioning

The complete arc from citation to argument

Answer engines answer questions. PaperChase builds your argument.

Zotero stores your papers. Elicit answers questions about them. PaperChase turns them into your argument.

Tool What it does well What it doesn't do
Zotero / Mendeley Reference management, citation export No relevance intelligence, no argument structure
Google Scholar Broad discovery No filtering, no analysis, no workflow
Elicit AI Q&A over papers No discovery, no argument building, no PDF workflow
Connected Papers Citation graph visualization Discovery only — no reading, scoring, or synthesis
PaperChase you are here
Discovery → scoring → PDF → reading → argument building
From beta users

What researchers say

I used to spend entire afternoons just figuring out which papers deserved a full read. PaperChase’s argumentation roles changed that completely — I can see which papers challenge my central claim before I even open them.

SL
Sarah L.
PhD Candidate, Cognitive Science

The Living Literature Monitor means I’m not anxious about missing something anymore. New papers that meet my threshold just appear, already scored. It’s changed how I think about ongoing research management.

MK
Marcus K.
Postdoctoral Researcher, NLP

PaperChase surfaced a paper I’d never have found that directly challenged my central claim. I’m glad I found it before my committee did. That alone justified everything.

AJ
Amara J.
PhD Student, Social Psychology
Pricing

Start free. Upgrade when you're building.

Free covers discovery and triage. Pro unlocks the full Evidence Map, Argument Critique, and Living Literature Monitor.

Free
$0
Forever free to start
✓  Up to 3 research concepts
✓  Up to 200 papers per concept
✓  Evidence Map: create claims
✓  PDF retrieval
✓  Field Debate View (basic)
✓  Gap Analysis (1 per concept)
—  Evidence Map: argument analysis
—  Living Literature Monitor
—  Field Debate View: analysis layer
—  Writing Workspace
Get started
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Pro
$19/mo
billed annually,
or $24/mo monthly
Everything a serious researcher needs
✓  Unlimited concepts
✓  Unlimited papers
✓  Unlimited Evidence Maps + argument analysis
✓  Living Literature Monitor
✓  Field Debate View (full)
✓  Writing Workspace
Start Pro free →
Institutional
Custom
For departments and research labs
✓  Everything in Pro
✓  SSO / SAML authentication
✓  Shared team concepts
✓  Admin dashboard
✓  Dedicated support
✓  Usage reporting
Contact us
FAQ

Fair questions

"ChatGPT does this for free."

It does the first afternoon for free — orientation, summaries, a reading list. It cannot hold your corpus, your scores, your highlights, or your claim graph next Tuesday. If your review takes a week, use ChatGPT. If it takes a semester, you need state.

"Why not LeapSpace? It has the paywalled papers."

It has 18 million of them — about a fifth of recent literature — and when it cites one you don't subscribe to, reading it is a separate purchase. Roughly half of current research is open access; PaperChase fetches those PDFs into your workspace and syncs the library you already own. Different bet: they rent reach, we build your argument. Some researchers will want both.

"How is this different from Elicit?"

Elicit is the best systematic-screening tool on the market — structured extraction at volume. PaperChase is for the argument after the screening: the debate map, the claim canvas, the critique, the draft. If your deliverable is an extraction table, use Elicit. If it's a defended position, that's us.

"Another subscription?"

The free tier runs the full workflow on one concept, indefinitely. And everything exports: BibTeX, Markdown, DOCX. No hostages.

"Can I trust the AI's stance calls?"

Check them. Every placement shows its reasoning and confidence. Uncertain papers are labeled "No clear stance" rather than guessed. And the system behind it is graded against expert panels with releases gated on regression — the methodology is published. Distrust of unaccountable AI is correct; that's why we built the accounting.

"What happens to my work if I leave?"

It leaves with you. BibTeX for references, Markdown and DOCX for writing, the corpus is exportable. We'd rather earn month 13 than lock it in.

Start building your argument.

Bring your foundational papers. PaperChase handles the triage from there.

Free plan available · No credit card required · Built for researchers