Paper Citation Record · LEDGER

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2311.12351.

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

pith.paper-citation-record.v1
2311.12351 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:25:02.749933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:18:32.821990Z

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 d81dfeb0-9097-47bb-8c81-700c95fb1ed5 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.728835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 06e913af-e016-43c2-973e-22bf1d5250cb · inbound

Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering cites this paper.

Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:25:02.749933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33dc615e-6f13-419d-84ca-ab50f77ca43b · inbound

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis cites this paper.

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:08.444014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40332670-7d3b-4744-a5c0-9232edc6b19d · inbound

The Future of AI: Exploring the Potential of Large Concept Models cites this paper.

The Future of AI: Exploring the Potential of Large Concept Models Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:24.755977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0024d9a7-1f02-4a44-8697-cd67e1fea754 · inbound

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions cites this paper.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:05:49.187406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4014455f-8fa3-437a-9d9d-e42c7de7663f · inbound

Concept Navigation and Classification via Open-Source Large Language Model Processing cites this paper.

Concept Navigation and Classification via Open-Source Large Language Model Processing Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:45.947815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549109f1-984c-40b6-ad79-94d29e4d7e45 · 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 Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:50.553917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cc9e9bf-7c7f-4d77-9436-fe6db9e0cd4e · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:19.264063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a023b1db-0d76-405f-80f2-b3ee1ceb058c · inbound

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting cites this paper.

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:35:25.620979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278ccbb5-7f17-4aac-9bed-de55efc2ea0e · inbound

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models cites this paper.

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T04:26:44.261575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f21e1df1-3b44-4dd9-9486-c4e2f808fe15 · inbound

Multi-User SLNR-Based Precoding With Gold Nanoparticles in Vehicular VLC Systems cites this paper.

Multi-User SLNR-Based Precoding With Gold Nanoparticles in Vehicular VLC Systems Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:35:03.457163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8cef0a-4330-4753-93d2-389d03bf037a · inbound

Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior cites this paper.

Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:28.169744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db5a6e7d-39dd-48a8-b17c-90ceb96794c2 · 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 Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:31.720309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944e5b8a-1d67-4ac6-888c-1474a6ddf9e1 · inbound

Customizing the Inductive Biases of Softmax Attention using Structured Matrices cites this paper.

Customizing the Inductive Biases of Softmax Attention using Structured Matrices Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:57.004385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f72f5ca-cb41-4142-ae6e-898d8a2b2d0d · inbound

CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing cites this paper.

CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:44:17.202362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54e750bc-68d9-4b7e-95a7-851a083deb45 · inbound

VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory cites this paper.

VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T18:49:51.181734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807aa1e5-f347-4015-bff8-770f49f64d65 · inbound

PARTREP: Learning What to Repeat for Decoder-only LLMs cites this paper.

PARTREP: Learning What to Repeat for Decoder-only LLMs Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:18:32.823569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.