Researcher Evidence Record
Amanda Askell
This bounded record lists 22 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.CL, cs.CY, cs.CR work dated 2019 to 2025. The record describes sources and coverage; it makes no judgment about the person.
Compiled coverage vector
A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.
Attributed works
A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.
-
2025 Pith paper
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 11
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 36 pith inbound references from cited_work_pith_inbound_counts
-
2024 Pith paper
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- paper_authors
- Printed name
- Amanda Askell
- Author position
- 12
- Identity state
- provisional
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 104 pith inbound references from cited_work_pith_inbound_counts
-
2023 Pith paper
Specific versus General Principles for Constitutional AI
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 4
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: no current Pith review exists.
- Citation counts
-
- 5 pith inbound references from cited_work_pith_inbound_counts
-
2023 Pith paper
Towards Understanding Sycophancy in Language Models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- paper_authors
- Printed name
- Amanda Askell
- Author position
- 5
- Identity state
- provisional
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 142 pith inbound references from cited_work_pith_inbound_counts
-
2023 Pith paper
Towards Measuring the Representation of Subjective Global Opinions in Language Models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 5
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 39 pith inbound references from cited_work_pith_inbound_counts
-
2023 Pith paper
The Capacity for Moral Self-Correction in Large Language Models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 2
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: no current Pith review exists.
- Citation counts
-
- 15 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Discovering Language Model Behaviors with Model-Written Evaluations
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 57
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 44 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Constitutional AI: Harmlessness from AI Feedback
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 4
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 531 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Measuring Progress on Scalable Oversight for Large Language Models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 8
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 33 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
In-context Learning and Induction Heads
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 8
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 145 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 4
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 147 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Language Models (Mostly) Know What They Know
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 3
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 323 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 24
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 118 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 4
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 479 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Training language models to follow instructions with human feedback
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 16
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 291 pith inbound references from cited_work_pith_inbound_counts
-
2022 Pith paper
Predictability and Surprise in Large Generative Models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 10
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: no current Pith review exists.
- Citation counts
-
- 9 pith inbound references from cited_work_pith_inbound_counts
-
2021 Pith paper
A General Language Assistant as a Laboratory for Alignment
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 1
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 136 pith inbound references from cited_work_pith_inbound_counts
-
2021 Pith paper
Learning Transferable Visual Models From Natural Language Supervision
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 8
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 268 pith inbound references from cited_work_pith_inbound_counts
-
2020 Pith paper
Language Models are Few-Shot Learners
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 10
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 408 pith inbound references from cited_work_pith_inbound_counts
-
2020 Pith paper
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 31
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: no current Pith review exists.
- Citation counts
-
- 18 pith inbound references from cited_work_pith_inbound_counts
-
2019 Pith paper
Release Strategies and the Social Impacts of Language Models
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 4
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 37 pith inbound references from cited_work_pith_inbound_counts
-
2019 Pith paper
The Role of Cooperation in Responsible AI Development
paper citation record paper evidence challenge this paper
Sources and evidence
- Authorship source
- arxiv_oai
- Printed name
- Amanda Askell
- Author position
- 1
- Identity state
- provisional
- Source confidence
- 0.7
- Review coverage
- Measured: a current Pith review exists.
- Citation counts
-
- 3 pith inbound references from cited_work_pith_inbound_counts
Evidence apparatus
The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.
| Lane | State | Observed | Boundary and source |
|---|---|---|---|
| identity | Measured | 2 | Canonical identity row plus public typed identifiers. source=authors, author_identifiers |
| papers | Measured | 22 of 22 bounded rows | Rows attributed to this author UUID in the Pith corpus. source=paper_authors |
| works | Measured zero | 0 of 0 bounded rows | Imported works not duplicated by the paper ledger. source=author_works |
| reviews | Measured | 18 of 22 bounded rows | Coverage count only. No review outcome is projected onto the person. source=current_verdicts |
| citations | Measured | 22 of 22 bounded rows | Counts remain itemized by work and source. source=cited_works |
| coauthors | Measured | 50 of 22 bounded rows | Shared-work edges from admitted paper rows. source=paper_authors |
| account | Unavailable | No public count of 1 bounded rows | Account metadata is separate from corpus evidence. source=users.author_id |
Public identity sources
-
name variant
Amanda Askell
Enumerated research scope
- cs.CL15 rows
- cs.CY3 rows
- cs.CR1 rows
- cs.CV1 rows
- cs.HC1 rows
- cs.LG1 rows
- 20192 rows
- 20202 rows
- 20212 rows
- 202210 rows
- 20234 rows
- 20241 rows
- 20251 rows
Record scope
The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.
Paper findings remain attached to papers. They do not become findings about this researcher.
Self-published account annex
Linked Pith account
Unavailable No public Pith account is linked to this corpus identity.
The account lane is self-published. Linking proves account control only and changes no corpus fact.