Paper Citation Record · LEDGER

The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2311.07361.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.07361 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:34:40.589542Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T17:39:59.943916Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2421732e-db43-4f78-8ff7-f7451d870a66 · inbound

Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models cites this paper.

Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.853639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1af571c4-4ecf-4024-92e9-1e46cd60c0a6 · inbound

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models cites this paper.

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:40.589542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b970ca-5ec4-4f1d-a599-47212dcd0e20 · inbound

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:15.383446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88cbe539-6b39-4166-85bf-8a0d0af8d0e7 · inbound

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches cites this paper.

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:21:45.043756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57506f3c-b1a3-4113-85da-20c7803123c5 · inbound

Efficient numeracy in language models through single-token number embeddings cites this paper.

Efficient numeracy in language models through single-token number embeddings The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T21:10:38.629746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52b592b0-13c3-4a8f-8976-843faa145956 · inbound

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding cites this paper.

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:31:06.867308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2af1bf63-d5b4-4c57-ab56-c92b0916faf3 · inbound

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations cites this paper.

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T14:45:40.583003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1c9d98-418d-414f-bef9-1e45a55044c8 · inbound

An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience cites this paper.

An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:20:30.860954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1bbd647-d515-40d7-b647-386571a55247 · inbound

No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows cites this paper.

No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:10.023592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 675e047c-4cb5-44b8-9f96-13790c665ad9 · inbound

Hidden-State Privacy Has an Empty Middle cites this paper.

Hidden-State Privacy Has an Empty Middle The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb6779c-cf1a-4ef3-ad16-b377b52a26c7 · inbound

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs cites this paper.

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:57.777213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d56f2e74-74d1-4700-90e3-15c62417ff28 · inbound

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search cites this paper.

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:39:59.945417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f751811e-5327-444b-81a2-f56bdf2daa14 · inbound

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization cites this paper.

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:08.614656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation beebf296-dbe8-4caf-9d1a-32e4c319175a · inbound

LLM-PDESR: Robust PDE Discovery via Subdomain Weighted Residuals and LLM-Guided Symbolic Hypothesis Generation cites this paper.

LLM-PDESR: Robust PDE Discovery via Subdomain Weighted Residuals and LLM-Guided Symbolic Hypothesis Generation The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:56:35.866730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220a8a79-db87-4f9b-8811-55b2500e1be2 · inbound

FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation cites this paper.

FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:58.725197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.