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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:50.553917Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:65cfbf6d9efcd8025e5c9a48069dde3d5dbc0b8d0d93cf61a60eda50160ca5ae

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.

source=pdf_text observed=2026-08-07T12:12:50.553917Z digest=sha256:e9505de5487ae933692afd41dda66936e4d52b52777c3d74e7bc35492c32e090

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.

source=arxiv_source observed=2026-08-06T22:31:19.264063Z digest=sha256:b5b7300ba6375c8444777df5fbca31bb20fb11d9878b6fa0d72f80415391b444

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.

source=pdf_text observed=2026-08-06T16:35:25.620979Z digest=sha256:05de1ae431daea9badda2dd87a002b2bd210ef88b62e695936b688732693581e

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.

source=pdf_text observed=2026-08-06T04:26:44.261575Z digest=sha256:8f415bd0842ed3e820a62ed879e2555c7fef6b9d45ec11fc0119dc3cd8857b9c

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.

source=pdf_text observed=2026-08-05T17:35:03.457163Z digest=sha256:0a0e755229fa3a727aa42eca4dc451dc3ffa6f233de64cb5a501e3eac84ac40e

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.

source=pdf_text observed=2026-08-05T16:50:28.169744Z digest=sha256:7fbe52311d0601c0c4d1aded0eb953869a1180c70a35f94ee72016c4ce079c98

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.

source=pdf_text observed=2026-08-05T04:50:31.720309Z digest=sha256:eaeec7c10509d31c2519b029353c4ce08935d9e41051a1ca4025025bac165e5c

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.

source=arxiv_source observed=2026-08-04T21:33:57.004385Z digest=sha256:1c1d652833cd98e41c570bcbaf7d326ce1492aaedbded1b747a656666939b020

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T17:40:36.730192Z digest=sha256:953e88bbf974b280f707f7d24080a50869b7bbcbcfbac5f6d53a9ce8f0d29694

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.

source=pdf_text observed=2026-08-02T18:49:51.181734Z digest=sha256:b54b0809c866d53059f76414621c3d8324e28edf5e44983638a348674d9af883

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T15:15:07.275852Z digest=sha256:4a86ead4393576852144af3e2b2c8c22f108f349a5cb81940a7b661ccf897fe9