Paper Citation Record · LEDGER

A Survey on Large Language Models with some Insights on their Capabilities and Limitations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2501.04040.

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

pith.paper-citation-record.v1
2501.04040 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:04.212070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:19:57.805929Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 f4da1340-f2ad-421b-9667-1af4afdb3095 · inbound

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection cites this paper.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:04.212070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b394cb-018e-46af-be82-05bfc3318205 · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:39.055557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 547b84ea-c6b7-4876-b724-fc6c4e375cd0 · inbound

From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins cites this paper.

From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:02.715452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98983531-7cb8-45e1-a3ca-50682ce0bf82 · inbound

InsightBuild: LLM-Powered Causal Reasoning in Smart Building Systems cites this paper.

InsightBuild: LLM-Powered Causal Reasoning in Smart Building Systems A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:09.527766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ff040c-edf7-44e7-b956-dd77031accbd · inbound

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code cites this paper.

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:42.431801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6466f628-5db2-4e1e-a7f7-695f2d8d4d48 · inbound

A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.

A Survey of the State-of-the-Art in Conversational Question Answering Systems A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T05:11:24.301130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1823159c-801d-490d-8785-3fe2c5bd2dc0 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:31.635518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f1a0b05-bfff-49a1-8343-fe7aa778c015 · inbound

Large Language Model Agent for User-friendly Chemical Process Simulations cites this paper.

Large Language Model Agent for User-friendly Chemical Process Simulations A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:51:30.100795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 982f57ff-cc53-4eab-820b-7f7146bb3c96 · inbound

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning cites this paper.

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:20:17.540400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9faa1c6c-7432-471b-89b2-ac53ae5c72d7 · inbound

AI-assisted writing and the reorganization of scientific knowledge cites this paper.

AI-assisted writing and the reorganization of scientific knowledge A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.857738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2b1a52f-b613-457e-9872-baaf8ea39ed2 · inbound

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models cites this paper.

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:38:23.140274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0501fe04-d6c8-4f26-bebb-613d2010fe6f · inbound

Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data cites this paper.

Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:39:48.416340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1542f24-9666-4a65-9fa5-c3ad63ab4414 · inbound

LLM-Enhanced Topical Trend Detection at Snapchat cites this paper.

LLM-Enhanced Topical Trend Detection at Snapchat A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:27.758570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 291c8c00-8a59-47de-aaf5-99a49a8ac5e3 · inbound

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs cites this paper.

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:51:42.405102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc0cfe3f-3e64-44f8-9600-553f23865c15 · inbound

Edit-Based Refinement for Parallel Masked Diffusion Language Models cites this paper.

Edit-Based Refinement for Parallel Masked Diffusion Language Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:21:24.225081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65f3c1a1-79fe-4367-9716-dd0f409a0848 · inbound

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews cites this paper.

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:36:25.241105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b21e63e9-9707-4ff0-97d4-2dd4206a3ca4 · inbound

RAGe: A Retrieval-Augmented Generation Evaluation Framework cites this paper.

RAGe: A Retrieval-Augmented Generation Evaluation Framework A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:24:39.962353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 61656575-52be-4578-8842-7c5d1994b7e9 · inbound

Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning cites this paper.

Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:19:57.807285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18ea465a-38fc-4164-a281-c943fc7c6d1d · inbound

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective cites this paper.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:59.734560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.