Paper Citation Record · LEDGER

Large Language Models Meet NLP: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2405.12819.

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

pith.paper-citation-record.v1
2405.12819 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:21:30.304522Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

20
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7feeed9d-893a-4139-b053-de31df998d8b · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Large Language Models Meet NLP: A Survey

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T16:21:30.304522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a02d7fa-3be3-44ea-98fc-5a1b6a1f249e · inbound

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions cites this paper.

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions Large Language Models Meet NLP: A Survey

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T17:30:40.903193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969d7276-7cc1-4712-b903-b01ab00b9bc0 · inbound

Enhancing Phishing Email Identification with Large Language Models cites this paper.

Enhancing Phishing Email Identification with Large Language Models Large Language Models Meet NLP: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T21:38:52.550310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2273e93f-35bb-42aa-8ade-9c79b7ef0f06 · inbound

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System cites this paper.

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System Large Language Models Meet NLP: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:22:07.230593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bc0f881-f05d-463d-9898-a7630283a4ca · inbound

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification cites this paper.

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification Large Language Models Meet NLP: A Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:32.210050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ebf2ea-4de5-411c-ab2c-321cb5907307 · inbound

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity cites this paper.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Large Language Models Meet NLP: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:54.677876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91023965-ee3f-4a70-8f9e-7ffb3e946447 · inbound

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 cites this paper.

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3 Large Language Models Meet NLP: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:49.917718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db97235-0370-412b-8814-37f8de908ba9 · inbound

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements cites this paper.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements Large Language Models Meet NLP: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.184289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b98f0a0-33cd-4afc-b40b-2d8e3fbbd78e · inbound

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs cites this paper.

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs Large Language Models Meet NLP: A Survey

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:47.189430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a7e48e-f2c5-4204-89ef-f57c109138f4 · inbound

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios cites this paper.

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios Large Language Models Meet NLP: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:09.550384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f5a3dfb-fe81-4984-a699-8009d92c7ac0 · inbound

ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models cites this paper.

ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models Large Language Models Meet NLP: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:49:34.825536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e4e7de-05f1-4953-9262-f453dc3f32cd · inbound

Real-World Summarization: When Evaluation Reaches Its Limits cites this paper.

Real-World Summarization: When Evaluation Reaches Its Limits Large Language Models Meet NLP: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:30.110514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b421890-e4de-40d8-bd6b-c54914423f29 · inbound

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection cites this paper.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Large Language Models Meet NLP: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:02.134995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e192c90-f314-4baf-97c2-5421a626f6b5 · inbound

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs cites this paper.

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs Large Language Models Meet NLP: A Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T15:52:45.016364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e05ef1c-8c22-4bdf-aabc-5339e41f32fd · inbound

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning cites this paper.

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning Large Language Models Meet NLP: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:57.404111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c743bb-61f6-4e56-9bbe-68086e6d8572 · inbound

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning cites this paper.

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning Large Language Models Meet NLP: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:46:02.642782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7991ae40-1070-4654-8352-09934d3b8d26 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Large Language Models Meet NLP: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T11:29:17.253862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475603da-15bb-46a5-80e4-c37f94ea94c4 · inbound

Quantifying Political Partisanship for Cross-Platform Analyses cites this paper.

Quantifying Political Partisanship for Cross-Platform Analyses Large Language Models Meet NLP: A Survey

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-01T06:38:57.270141Z

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.