Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone?
As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2510.05432.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-11T02:48:15.074349Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-11T03:05:55.205507Z
Reference resolution
16 of 16 outbound references displayed
- verified exact8
- verified fuzzy3
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e0e6b61f-32b9-4429-bce1-7430a7774220 · outbound
This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T09:31:12.007180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89d4cdaf-50e5-408c-b0b0-e4dee967960d · outbound
This paper cites On the Measure of Intelligence.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? On the Measure of Intelligence
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T09:31:11.237718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8767d78-1f19-4143-b60d-ccc37d77edd3 · outbound
This paper cites CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T09:31:11.201411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a0548e15-3c1f-4b27-a8e8-29d3fe291ca8 · outbound
This paper cites MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:31:11.248044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3e3f18c2-724b-4cb0-833b-78b453f74951 · outbound
This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T09:31:11.221679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aa673644-ee47-4c5a-8833-d4c948f71515 · outbound
This paper cites Entity-based knowledge conflicts in question answering.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Entity-based knowledge conflicts in question answering
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T09:31:12.000419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6679bc5a-970b-42b4-b066-360504ae336f · outbound
This paper cites BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:31:11.206284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68557ee4-9c99-4f9c-8079-bcc37189df79 · outbound
This paper cites an unresolved cited work.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-18T09:31:12.004057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47d06d17-f112-4a03-b87d-3c9e086379ac · outbound
This paper cites In-context Learning and Induction Heads.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? In-context Learning and Induction Heads
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T09:31:11.056757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cca66dfa-ebc1-417e-8c22-6c09af738b88 · outbound
This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T09:31:11.227224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation be219fc4-03bb-432a-9d62-0976c019161c · outbound
This paper cites Prompt programming for large language models: Beyond the few-shot paradigm.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Prompt programming for large language models: Beyond the few-shot paradigm
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T09:31:12.010207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 98bd970a-b86f-4b7d-9f79-6dc6f6bf8d7b · outbound
This paper cites Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:31:11.253621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c38a01d4-0375-4f26-9482-7d42b34410bc · outbound
This paper cites SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T09:31:11.242556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0faf3c5a-bbc8-48ae-bf7c-831a63c16d12 · outbound
This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T09:31:11.232362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7da91b1-f1dd-456a-b1ba-5e84fe50dbd7 · outbound
This paper cites Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:31:11.211183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c9e4792-1cae-481e-a328-fc9052fa1a82 · outbound
This paper cites Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:31:11.216601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 0537282e-f30d-4deb-a9ee-ef9a65f2e6a2 · inbound
FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution cites this paper.
FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone?
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T03:05:55.209103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.