Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
In-context Autoencoder for Context Compression in a Large Language Model
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 52 inbound Pith citation observations for arXiv:2307.06945.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:03.079849Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T11:57:03.500364Z
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 f713a242-b092-4366-aa62-611999822383 · inbound
Language Modeling Is Compression cites this paper.
Language Modeling Is Compression In-context Autoencoder for Context Compression in a Large Language Model
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:36:13.437459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0aa2fd88-44a8-49ac-b20f-750d72562a6a · inbound
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention cites this paper.
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention In-context Autoencoder for Context Compression in a Large Language Model
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T18:17:00.233393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation be49f700-1c39-448f-be69-7e3c9f44e663 · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models In-context Autoencoder for Context Compression in a Large Language Model
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:39:33.228937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e76d4376-535c-4dea-8674-a604e6310fea · inbound
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models cites this paper.
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models In-context Autoencoder for Context Compression in a Large Language Model
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:08:26.037285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1f0f81a9-5e48-4566-bcdb-a934b7060319 · inbound
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning cites this paper.
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning In-context Autoencoder for Context Compression in a Large Language Model
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:38:24.998229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ff376451-d357-4010-a992-fdd40f33dc64 · inbound
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness cites this paper.
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness In-context Autoencoder for Context Compression in a Large Language Model
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:47:03.878166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 495672ac-86f7-49be-9b22-125860f30e39 · inbound
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations cites this paper.
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations In-context Autoencoder for Context Compression in a Large Language Model
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:47:40.376518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5801aa15-89a5-4767-b120-58d43794e352 · inbound
An Enhanced Text Compression Approach Using Transformer-based Language Models cites this paper.
An Enhanced Text Compression Approach Using Transformer-based Language Models In-context Autoencoder for Context Compression in a Large Language Model
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:25:04.595111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba757bc8-b355-4435-9040-cfd4061f6034 · inbound
The Scaling Law for LoRA Base on Mutual Information Upper Bound cites this paper.
The Scaling Law for LoRA Base on Mutual Information Upper Bound In-context Autoencoder for Context Compression in a Large Language Model
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:58:52.558962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f1df4e0-e04f-4933-8c08-3caa549f33e1 · inbound
LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs cites this paper.
LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs In-context Autoencoder for Context Compression in a Large Language Model
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:40:27.070080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcffa416-523a-425d-a7ca-d66d0cffbf46 · inbound
Reranking with Compressed Document Representation cites this paper.
Reranking with Compressed Document Representation In-context Autoencoder for Context Compression in a Large Language Model
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:01.440306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d26a06df-723e-440b-b2a3-533c679d152f · inbound
Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention cites this paper.
Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention In-context Autoencoder for Context Compression in a Large Language Model
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:54.165282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b4cdffa-d9aa-4dbc-85aa-6ecf08918b79 · inbound
Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models cites this paper.
Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models In-context Autoencoder for Context Compression in a Large Language Model
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:02:03.079849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eda27cb-3467-45c1-b0c5-3b684314a4a1 · inbound
Lossless Token Sequence Compression via Meta-Tokens cites this paper.
Lossless Token Sequence Compression via Meta-Tokens In-context Autoencoder for Context Compression in a Large Language Model
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:14:26.038257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39adb28a-0505-4479-885e-bb0e6b76633d · inbound
GEM: Empowering LLM for both Embedding Generation and Language Understanding cites this paper.
GEM: Empowering LLM for both Embedding Generation and Language Understanding In-context Autoencoder for Context Compression in a Large Language Model
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:50:51.035722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78f74339-0c3f-43c5-9fc9-cf76f411bfbc · inbound
Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.
Cartridges: Lightweight and general-purpose long context representations via self-study In-context Autoencoder for Context Compression in a Large Language Model
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:28.833876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00c748c5-79d9-4235-9a02-9a3f65b9b794 · inbound
Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.
Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning In-context Autoencoder for Context Compression in a Large Language Model
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:32:55.008182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 137b8877-00ed-4b2d-9453-33d1bf8e717b · inbound
"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants cites this paper.
"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants In-context Autoencoder for Context Compression in a Large Language Model
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:25:44.834404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d98cfd-2f4c-4b90-8fa7-4a98eedb31b7 · inbound
MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.
MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts In-context Autoencoder for Context Compression in a Large Language Model
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:23:49.273019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47ab78b7-f250-43db-8f87-25e040e2277b · inbound
ARC-Encoder: learning compressed text representations for large language models cites this paper.
ARC-Encoder: learning compressed text representations for large language models In-context Autoencoder for Context Compression in a Large Language Model
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:28:48.415613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf8b8415-7fc4-471f-a018-66431af3d6ab · inbound
When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.
When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents In-context Autoencoder for Context Compression in a Large Language Model
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:06:10.310021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bc6bc24-ff0d-4cbd-a22c-05f5ff6a976b · inbound
When Less is More: The LLM Scaling Paradox in Context Compression cites this paper.
When Less is More: The LLM Scaling Paradox in Context Compression In-context Autoencoder for Context Compression in a Large Language Model
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:30:32.253170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eca23d4a-2c00-46c4-adbf-71eeabba9878 · inbound
Stacked from One: Multi-Scale Self-Injection for Context Window Extension cites this paper.
Stacked from One: Multi-Scale Self-Injection for Context Window Extension In-context Autoencoder for Context Compression in a Large Language Model
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:00:10.318479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ae387884-16c3-40f8-ba11-300d5036b604 · inbound
On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation cites this paper.
On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation In-context Autoencoder for Context Compression in a Large Language Model
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:40:27.592736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6367e958-cebc-41af-b6e1-53593ed401af · inbound
SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing cites this paper.
SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing In-context Autoencoder for Context Compression in a Large Language Model
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:32:52.132914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a8402a53-3a8d-49d9-830b-ca991c79efeb · inbound
Latent Abstraction for Retrieval-Augmented Generation cites this paper.
Latent Abstraction for Retrieval-Augmented Generation In-context Autoencoder for Context Compression in a Large Language Model
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:01:04.988507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 990f46b8-188d-4790-a4a1-8e87ecaa64dc · inbound
Efficient Listwise Reranking with Compressed Document Representations cites this paper.
Efficient Listwise Reranking with Compressed Document Representations In-context Autoencoder for Context Compression in a Large Language Model
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:31:25.665841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 91354d10-93f8-4fcb-a167-888940f874b9 · inbound
ZAYA1-8B Technical Report cites this paper.
ZAYA1-8B Technical Report In-context Autoencoder for Context Compression in a Large Language Model
Reference 139
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T17:26:05.405420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ad6867a1-4746-4148-9a26-6e20111562e0 · inbound
Shallow Prefill, Deep Decoding: Efficient Long-Context Inference via Layer-Asymmetric KV Visibility cites this paper.
Shallow Prefill, Deep Decoding: Efficient Long-Context Inference via Layer-Asymmetric KV Visibility In-context Autoencoder for Context Compression in a Large Language Model
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:08.997766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a008a4f9-b26a-45cb-a7b4-880650f26558 · inbound
Context Memorization for Efficient Long Context Generation cites this paper.
Context Memorization for Efficient Long Context Generation In-context Autoencoder for Context Compression in a Large Language Model
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:43:12.609826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8e1e5daf-f5ab-4e29-b73e-12b243fd9d08 · inbound
The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management cites this paper.
The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management In-context Autoencoder for Context Compression in a Large Language Model
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:25:23.574357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3dd3bae-f54a-4c74-952d-d30af5a82adf · inbound
The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management cites this paper.
The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management In-context Autoencoder for Context Compression in a Large Language Model
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.221879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 228fa99b-41e6-476a-8161-3a030b517867 · inbound
Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference cites this paper.
Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference In-context Autoencoder for Context Compression in a Large Language Model
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:43:59.475928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 750e23a3-a099-43f3-89c3-889083efd4e8 · inbound
AGORA: Adapter-Grounded Observation-Action Retention for Inference-Free Prompt Compression in LLM Agents cites this paper.
AGORA: Adapter-Grounded Observation-Action Retention for Inference-Free Prompt Compression in LLM Agents In-context Autoencoder for Context Compression in a Large Language Model
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:33:50.747251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 99c47771-40d3-4ab7-905e-7b691ffcba8a · inbound
Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor cites this paper.
Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor In-context Autoencoder for Context Compression in a Large Language Model
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:13:26.756930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a79d12ac-dc7c-496d-8aca-5a4e925913e5 · inbound
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories In-context Autoencoder for Context Compression in a Large Language Model
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:26:26.760232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5d7372bc-eedf-4917-abcc-a1b387dea7d1 · inbound
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories In-context Autoencoder for Context Compression in a Large Language Model
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T07:44:25.325808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34dc4f75-580f-4a0b-9410-e65bdaf5ac32 · inbound
TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding cites this paper.
TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding In-context Autoencoder for Context Compression in a Large Language Model
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:07:24.257483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 94f58561-77d0-46c5-8a9d-67319a9837cf · inbound
End-to-End Context Compression at Scale cites this paper.
End-to-End Context Compression at Scale In-context Autoencoder for Context Compression in a Large Language Model
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:17:31.198295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 84216017-3104-4720-aa10-5c75ee626b76 · inbound
Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning cites this paper.
Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning In-context Autoencoder for Context Compression in a Large Language Model
Reference 208
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T09:07:48.396125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8e96be8f-cd44-4cf1-a95e-c6f6077d02d4 · inbound
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning In-context Autoencoder for Context Compression in a Large Language Model
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:08:33.416157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 55b98c16-a5af-4fd1-91a7-10b1f16917e7 · inbound
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning In-context Autoencoder for Context Compression in a Large Language Model
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:12:18.189120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19d1ac50-6003-4c52-9004-5d6c2f438183 · inbound
Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.
Token-Operations-Oriented Inference Optimization Techniques for Large Models In-context Autoencoder for Context Compression in a Large Language Model
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:09:36.696964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45670a44-08d6-43f2-a054-cacf26b4cdee · inbound
Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.
Token-Operations-Oriented Inference Optimization Techniques for Large Models In-context Autoencoder for Context Compression in a Large Language Model
Reference 129
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:49:13.149873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aee992c-01b6-4bc0-9baf-48cc0afa3948 · inbound
ZONOS2 Technical Report cites this paper.
ZONOS2 Technical Report In-context Autoencoder for Context Compression in a Large Language Model
Reference 164
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T18:40:03.242509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8405a05a-c14d-4b94-9a04-7affea81c43a · inbound
ZONOS2 Technical Report cites this paper.
ZONOS2 Technical Report In-context Autoencoder for Context Compression in a Large Language Model
Reference 164
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T18:15:58.955868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2bf5c414-8bb6-41cc-ac08-580ee354124f · inbound
HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning cites this paper.
HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning In-context Autoencoder for Context Compression in a Large Language Model
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T11:34:37.979070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8507a767-f0c9-4750-83af-79a7da1c33a3 · inbound
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents In-context Autoencoder for Context Compression in a Large Language Model
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:36:44.021340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 153f65f2-fd8d-42f8-86ee-87643b0a9856 · inbound
Out of Sight: Compression-Aware Content Protection against Agentic Crawlers cites this paper.
Out of Sight: Compression-Aware Content Protection against Agentic Crawlers In-context Autoencoder for Context Compression in a Large Language Model
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T11:57:03.501942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6dac8314-6226-4cf6-ade8-66f6c136895d · inbound
Prompt Compression via Activation Aggregation cites this paper.
Prompt Compression via Activation Aggregation In-context Autoencoder for Context Compression in a Large Language Model
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.824339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 687c013f-c48d-489e-bae6-b6efadbe1a59 · inbound
ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.
ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution In-context Autoencoder for Context Compression in a Large Language Model
Reference 149
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:52:04.177026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de28d66f-379c-4370-a7c0-8af3a7a2fad4 · inbound
Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression cites this paper.
Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression In-context Autoencoder for Context Compression in a Large Language Model
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:57:23.961074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.