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Paper Citation Record · LEDGER

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2502.05431.

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

pith.paper-citation-record.v1
2502.05431 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:28:43.759802Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:31:36.983054Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:43:12.641152Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved33
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0551778-4d7a-4fdf-be07-a7609cbc3cec · outbound

This paper cites GPT-4 Technical Report.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-08T19:28:43.306048Z digest=sha256:3be02c424cf89ce2373ff8f93448b8779ed6875a89836591622b76d844782d19

Observation 902a225d-5e90-4a2d-bdd7-a26461ddc749 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 4

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source=pdf_text observed=2026-08-08T19:28:43.322808Z digest=sha256:0df6fbde32859274b1b9f4fe6c425d88a73567f8aee6b3e2bf6001f5657a09df

Observation 113438f2-eed1-4eae-998e-69c94f897aa6 · outbound

This paper cites Memory Transformer.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Memory Transformer

Reference 5

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source=pdf_text observed=2026-08-08T19:28:43.328174Z digest=sha256:7518b90d33cd885c20ca5052dc12f7048c7f0426fd15bd6f2edaf52628d7f573

Observation 474603cd-cc3e-4626-bf23-1319be869baf · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Training Verifiers to Solve Math Word Problems

Reference 7

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source=pdf_text observed=2026-08-08T19:28:43.338271Z digest=sha256:317a74fc177148465adc8159cab0f442cce5b1c40fdde79b2c616459de951b42

Observation 3aad025f-6a2a-474a-aa6c-a7ccd4d0567e · outbound

This paper cites Mention Memory: incorporating textual knowledge into Transformers through entity mention attention.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Mention Memory: incorporating textual knowledge into Transformers through entity mention attention

Reference 8

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verified exact
local_arxiv, observed 2026-08-08T19:28:44.326383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T19:28:43.343711Z digest=sha256:d1001667f5837fcce256ce61b32a009a2eff20c459abcbde9c96267e4207c6a5

Observation 2726cdda-454e-41ab-a5e3-d1a8d808215c · outbound

This paper cites The Faiss library.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding The Faiss library

Reference 11

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source=pdf_text observed=2026-08-08T19:28:43.364548Z digest=sha256:b2c3adbbf2e2e1d1c2a02960f30493f764792a20a2c837a6bbe057a0b19d8425

Observation 75e7f1b8-3fa2-40d8-a19f-395173e4b988 · outbound

This paper cites The Llama 3 Herd of Models.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding The Llama 3 Herd of Models

Reference 12

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source=pdf_text observed=2026-08-08T19:28:43.394772Z digest=sha256:b6b168b786a0f728163056dddeef8bf5c6ba096fc495c0eb76d363ad5ddf716d

Observation 056f7750-464e-44f8-bb30-fb714f4812d9 · outbound

This paper cites Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Reference 13

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source=pdf_text observed=2026-08-08T19:28:43.420237Z digest=sha256:144f1509819bc41127b1abf0a06ffa943e33877340de8bdbb4a47893580bc01c

Observation 8fe56828-d11b-493f-8e9c-9c254f4da02f · outbound

This paper cites Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang

Reference 15

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source=pdf_text observed=2026-08-08T19:28:43.431194Z digest=sha256:a1be5b6cf11f637fdd00e815757d595ceb87f140f06e52480dff94b797309fbd

Observation 15e398b9-1767-4aad-a10d-23fb85fb751e · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 16

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source=pdf_text observed=2026-08-08T19:28:43.436028Z digest=sha256:4df827fb06409798c6366cacd962f7624d2e2e9aa40236e8d661ef36330bb9ba

Observation 645247e7-a812-472a-b220-6f9b792e2cb3 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Measuring Massive Multitask Language Understanding

Reference 17

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source=pdf_text observed=2026-08-08T19:28:43.440664Z digest=sha256:9ca5f65d2c112099b57ba226974806bfaf2c9df6f31f441458f9078054c31e21

Observation 83ebd8ad-f31d-47dd-876e-b09ce0f4d810 · outbound

This paper cites Mistral 7B.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Mistral 7B

Reference 19

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source=pdf_text observed=2026-08-08T19:28:43.450475Z digest=sha256:c74d889c778828251e76cb173b6cb3a1ca6e43e897d9b9baca7852d7376e70cb

Observation 869c4170-945e-4fed-824b-5686e7ea904b · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 20

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source=pdf_text observed=2026-08-08T19:28:43.455099Z digest=sha256:09119eaa13d2bb359b628649a08c3fed89b52a09c4987b4d0ec6902f732ed426

Observation 64922e7d-6c64-4904-a360-28e1d92e09be · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 21

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source=pdf_text observed=2026-08-08T19:28:43.459763Z digest=sha256:3cb84ec1e745be18d8e2742617fd9a22dbd253237790c8be238e26c3d11e12bf

Observation b961bae0-5992-4ce4-acbb-c474c54d87db · outbound

This paper cites Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 22

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source=pdf_text observed=2026-08-08T19:28:43.472132Z digest=sha256:c683f535900b1c95668018fd6b285a48d8a0383517b499c290b1333a22bb60e4

Observation 0031ee46-c419-4e2f-a871-ac858000664f · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 23

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source=pdf_text observed=2026-08-08T19:28:43.517331Z digest=sha256:09e48612b3bfd1434606206aacf797b0b2bdbca019f41ac844563dedaa4a0e5c

Observation 34fe0776-94ca-4ed2-ba5f-a712a68bc9fa · outbound

This paper cites FocusLLM: Precise Understanding of Long Context by Dynamic Condensing.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding FocusLLM: Precise Understanding of Long Context by Dynamic Condensing

Reference 24

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source=pdf_text observed=2026-08-08T19:28:43.569455Z digest=sha256:01e1791a0a5a89930d233709ca56c5a23047e26a8a0516d3993b0a61814824a5

Observation 39a663c5-0200-42f1-856a-ae6d7ff071d7 · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 25

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source=pdf_text observed=2026-08-08T19:28:43.581431Z digest=sha256:69b5d451489d9ac700c1b669bd71df90cb7536a80c118ed396d111b76f34c67e

Observation 7aac8b85-0e6b-4fa0-a156-9f2ed6427d74 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 26

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source=pdf_text observed=2026-08-08T19:28:43.586788Z digest=sha256:c6afdc4ee1ed68bf2117979f3e6694b54ff1e9dda2b2e970e5ba3c2f2f15e071

Observation ca803020-9500-4a76-be64-425cfb1eb168 · outbound

This paper cites Parallel Context Windows for Large Language Models.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Parallel Context Windows for Large Language Models

Reference 27

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source=pdf_text observed=2026-08-08T19:28:43.591899Z digest=sha256:50fc78838a9daac9fd5e305c0f197efb18afecd1df9460454725f398739b29f7

Observation 6fdb970b-33dd-4543-bf71-6990a9779315 · outbound

This paper cites Block-Attention for Efficient Prefilling.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Block-Attention for Efficient Prefilling

Reference 28

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source=pdf_text observed=2026-08-08T19:28:43.596934Z digest=sha256:6e6b6c9f016512072073836a4d0cf1ac2df5cc614beb184120112f955e1be255

Observation f1464f1d-834b-42ec-84ee-843dc87b1a08 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Gemma 2: Improving Open Language Models at a Practical Size

Reference 29

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source=pdf_text observed=2026-08-08T19:28:43.601752Z digest=sha256:856b93e2f8bec290eaf40c0d0c8b96634245e92fd183dbf0dd0dfc2a04fd7dc6

Observation caf6f47e-ce7d-42bf-86a5-364f1ed8d147 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Efficient Streaming Language Models with Attention Sinks

Reference 31

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source=pdf_text observed=2026-08-08T19:28:43.612246Z digest=sha256:6b5036f9e47f106692258f7b17c7c750b75ea837e40ffcf236a268ddd0468652

Observation b01b69e4-0a6b-49d4-833d-391e8b0a428a · outbound

This paper cites CRAG -- Comprehensive RAG Benchmark.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding CRAG -- Comprehensive RAG Benchmark

Reference 32

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source=pdf_text observed=2026-08-08T19:28:43.617686Z digest=sha256:fddd488bb960236253c665ad420733a1103285dd4e2b37ace9a4ba9271f271a8

Observation 6a74cab3-07f0-461e-aea1-95a742dfcdf5 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 33

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source=pdf_text observed=2026-08-08T19:28:43.651666Z digest=sha256:f8fc33a9f1b360996003024fa6cc311aa3cd941aa57b77425289dfaaa16b638e

Observation 0888372b-f2a0-4b83-b354-c61d8b0fa1d6 · outbound

This paper cites Long-Context Language Modeling with Parallel Context Encoding.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Long-Context Language Modeling with Parallel Context Encoding

Reference 34

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source=pdf_text observed=2026-08-08T19:28:43.720166Z digest=sha256:9b141cf9978a147358d37fd59bba945384ee7c9e0fd2f193f57e8ac425e2701e

Observation a73a56d5-7680-4e47-af8e-d98de4528697 · outbound

This paper cites Qdrant, 2024.https://qdrant.tech/.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Qdrant, 2024.https://qdrant.tech/

Reference 35

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raw_fallback, observed 2026-08-08T19:28:44.497879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T19:28:43.747887Z digest=sha256:c00beab5c6b096062dd4c0cd83872b88bd454f331556f9bb57540801b69642be

Observation b3d416ec-ca69-43ad-abbf-c0a8d6f626e0 · outbound

This paper cites (2017), and MMLU (Hendrycks et al., 2020b).

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding (2017), and MMLU (Hendrycks et al., 2020b)

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T19:28:43.753881Z digest=sha256:57a000382180791145107eefb47b5a21ae8529c60776424fee0a4109a2623aba

Observation e31b7ed3-fc7a-4017-b4c9-d55e500776be · outbound

This paper cites an unresolved cited work.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T19:28:43.759802Z digest=sha256:f2a6deb4b15c887d219125677c61c021b9ba8c59f5342268569a2dd8815f8746

Observation 11627c03-34dc-489f-9262-f71ecc3c307f · outbound

This paper cites Emergent Abilities of Large Language Models.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Emergent Abilities of Large Language Models

Reference 2017

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source=pdf_text observed=2026-08-08T19:28:43.606824Z digest=sha256:c25e81c90eddbd26350b488bb703c184d42896a314e94ce95d0987244b54fd4d

Observation 124afffb-51fa-4940-97fc-bc32e31eebbb · outbound

This paper cites A Survey on In-context Learning.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding A Survey on In-context Learning

Reference 2018

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source=pdf_text observed=2026-08-08T19:28:43.353389Z digest=sha256:77c5c8e2bd493cb4be98317cf0e0e26892957f0aab21db5796bdac992ef59853

Observation 8763abe9-b4b2-4851-b077-692a257ca601 · outbound

This paper cites Entities as Experts: Sparse Memory Access with Entity Supervision.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 2019

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source=pdf_text observed=2026-08-08T19:28:43.425662Z digest=sha256:c018cce32ba0907373fc89977a861ae25aa7648137edce5a822df0db0c7272cc

Observation 5017cef2-2a3e-4be4-a74b-fcf3063ad37e · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 2020

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source=pdf_text observed=2026-08-08T19:28:43.445641Z digest=sha256:e94555fd373c25049dbb16588718fe81e95cd30a29d05f175a9aec08c15dee28

Observation bae0c3c1-7a69-4e91-998e-f7c67bc63267 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2021

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source=pdf_text observed=2026-08-08T19:28:43.348345Z digest=sha256:a269d7819847fc89d3f3aa343f231d08717f5876832b4d2cf4be3a9af4216e5d

Observation c7e440b4-8fcc-4f36-af4f-daa8441009f6 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Extending Context Window of Large Language Models via Positional Interpolation

Reference 2022

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source=pdf_text observed=2026-08-08T19:28:43.333199Z digest=sha256:cf35813d58d9bea01bbd378ecf071ad487c2b6ea19827d5e8accc7878d508dd5

Observation 7c28b9c9-f8ff-4321-b2c4-bc0b18b67475 · outbound

This paper cites Many-Shot In-Context Learning.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Many-Shot In-Context Learning

Reference 2023

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source=pdf_text observed=2026-08-08T19:28:43.311989Z digest=sha256:81e75f39f396a65217d635cee91facdbd11b54ae9efb975408f922abf8ac7ee6

Observation 4d8f61f1-50a2-41a9-9d63-d87e6fc236c7 · outbound

This paper cites Reliable, Adaptable, and Attributable Language Models with Retrieval.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Reliable, Adaptable, and Attributable Language Models with Retrieval

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:43.317352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:43.317352Z digest=sha256:1cb0a4b3e4fe88c0fe97d53be1b937e69d8efd6509af1b681d9a98ac4f9766dc

Pith citing papers

Observation af58e0d0-8ce4-44b2-bf49-48ae2336df7b · 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 APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:36.983054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:36.983054Z digest=sha256:69f23df542880a47baadf8b0b0c2ea43f1bbb13a82a28b7cc015aec833468b92

Observation 90369c9d-5bf3-4330-8ee0-e8d51e65541c · inbound

Context Memorization for Efficient Long Context Generation cites this paper.

Context Memorization for Efficient Long Context Generation APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:43:12.642761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T10:39:09.720412Z digest=sha256:eb1b52578c794bb58c7d4866f4b7a6558bc32ee58710ada69c68ef955f3ae18f