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Paper Citation Record · LEDGER

Extending LLM Context via Associative Recurrent Memory

As of 19 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2607.11614.

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

pith.paper-citation-record.v1
2607.11614 v1

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T04:23:21.000846Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 100 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 14b30aab-f9de-490a-bde2-30db7cff9abf · outbound

This paper cites Aho and Jeffrey D.

Extending LLM Context via Associative Recurrent Memory Aho and Jeffrey D

Reference 1

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Observation 08f82eb5-87a4-4ff7-a318-9a53b91caef3 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 2

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Observation 3af37c55-380d-450f-b368-7fb5104fca0c · outbound

This paper cites Chandra and Dexter C.

Extending LLM Context via Associative Recurrent Memory Chandra and Dexter C

Reference 3

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Observation 42f803cf-f1ce-4586-af05-1207134bb0b7 · outbound

This paper cites Scalable training of.

Extending LLM Context via Associative Recurrent Memory Scalable training of

Reference 4

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Observation 7487828a-f129-4003-8c80-8108afa13531 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 5

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Observation 299218f8-d336-4f4c-8128-e39be938ae03 · outbound

This paper cites Tetreault , title =.

Extending LLM Context via Associative Recurrent Memory Tetreault , title =

Reference 6

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Observation 376a7c20-f9d0-49c5-91a5-e43de51ec086 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

Extending LLM Context via Associative Recurrent Memory A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 7

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Observation 5319cf97-f112-4f64-8528-16a1bbcb9e9a · outbound

This paper cites Associative Recurrent Memory Transformer.

Extending LLM Context via Associative Recurrent Memory Associative Recurrent Memory Transformer

Reference 8

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Observation 52b9aba3-7ec4-461a-a0b8-043ea1c033e8 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 9

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Observation 9548a999-e735-4448-9034-332c81b4ca6d · outbound

This paper cites HIBRIDS : Attention with Hierarchical Biases for Structure-aware Long Document Summarization.

Extending LLM Context via Associative Recurrent Memory HIBRIDS : Attention with Hierarchical Biases for Structure-aware Long Document Summarization

Reference 10

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Observation 572d5314-1f45-4641-a2d7-29f9da6392cf · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 11

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Observation a1134941-6b65-46b2-88d4-6ed6771ccb49 · outbound

This paper cites Gemma 3 Technical Report.

Extending LLM Context via Associative Recurrent Memory Gemma 3 Technical Report

Reference 12

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Observation dc677d78-8f6b-455e-811b-f5bf8ae81932 · outbound

This paper cites ROUGE : A Package for Automatic Evaluation of Summaries.

Extending LLM Context via Associative Recurrent Memory ROUGE : A Package for Automatic Evaluation of Summaries

Reference 13

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Observation 7b157c97-bce9-4893-863e-1b8ef9f3476e · outbound

This paper cites Curriculum learning , isbn =.

Extending LLM Context via Associative Recurrent Memory Curriculum learning , isbn =

Reference 14

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Observation a22e595b-166b-47eb-86cf-aec5e805b4c7 · outbound

This paper cites RWKV : Reinventing RNN s for the Transformer Era.

Extending LLM Context via Associative Recurrent Memory RWKV : Reinventing RNN s for the Transformer Era

Reference 15

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Observation e472a5e4-651e-46ae-b5b6-ce97f307e9ac · outbound

This paper cites Advances in Neural Information Processing Systems , url =.

Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , url =

Reference 16

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Observation fbab1afc-772d-4e55-9e35-a94e173ec027 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Extending LLM Context via Associative Recurrent Memory Measuring Massive Multitask Language Understanding

Reference 17

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Observation 131e4269-9f90-42d5-a904-fe1876f7f79c · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Extending LLM Context via Associative Recurrent Memory SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 18

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Observation 7551c058-124a-4d4c-a353-626b9a888c70 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Extending LLM Context via Associative Recurrent Memory Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 19

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Observation 05013857-2cf3-4ac1-ac91-c9e02f854d39 · outbound

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Extending LLM Context via Associative Recurrent Memory 2025 , eprint=

Reference 20

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Observation 8a931aec-2c8b-4906-b696-a211ac8cdf9a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Extending LLM Context via Associative Recurrent Memory LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

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Observation 3c8ef525-cff5-4186-824c-e3ca6f0548f5 · outbound

This paper cites Scaling Learning Algorithms Towards.

Extending LLM Context via Associative Recurrent Memory Scaling Learning Algorithms Towards

Reference 22

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Observation dfbef039-6067-4b35-bff2-e548f5e4fbf0 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

Extending LLM Context via Associative Recurrent Memory and Osindero, Simon and Teh, Yee Whye , journal =

Reference 23

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Observation 0232ed79-4d38-4113-93f3-925687135dcf · outbound

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Extending LLM Context via Associative Recurrent Memory 2016 , publisher=

Reference 24

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Observation ec8882d9-1809-405d-8e7b-870ee62bcce7 · outbound

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Extending LLM Context via Associative Recurrent Memory Proceedings of the national academy of sciences , volume=

Reference 25

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Observation 255d84a5-d4da-432b-8c79-3fed1bbaf7fd · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Extending LLM Context via Associative Recurrent Memory Proceedings of the national academy of sciences , volume=

Reference 26

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Observation 2471482c-4825-4f4d-a37f-772602908ce0 · outbound

This paper cites Scaling Laws for Associative Memories.

Extending LLM Context via Associative Recurrent Memory Scaling Laws for Associative Memories

Reference 27

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Observation 43af729d-0166-43e3-8efe-6f6006249f24 · outbound

This paper cites Associative Memory \ & \ Hopfield Networks in 2023 , year=.

Extending LLM Context via Associative Recurrent Memory Associative Memory \ & \ Hopfield Networks in 2023 , year=

Reference 28

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Observation e871219a-9de2-4130-a72e-9ce22dfd9fec · outbound

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Extending LLM Context via Associative Recurrent Memory , booktitle =

Reference 29

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Observation aa95b2ac-f47d-4179-9610-c70604156714 · outbound

This paper cites On a Model of Associative Memory with Huge Storage Capacity , volume=.

Extending LLM Context via Associative Recurrent Memory On a Model of Associative Memory with Huge Storage Capacity , volume=

Reference 30

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Observation 992fdc85-0339-40f8-9012-670b8e84fc36 · outbound

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Extending LLM Context via Associative Recurrent Memory Hopfield Networks is All You Need

Reference 31

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Observation 4eb355b2-0285-483e-bc9e-8015073b1f2f · outbound

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Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , volume=

Reference 32

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Observation 69242026-523c-4e86-a052-2fa7f5350477 · outbound

This paper cites Cloob: Modern hopfield networks with infoloob outperform.

Extending LLM Context via Associative Recurrent Memory Cloob: Modern hopfield networks with infoloob outperform

Reference 33

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Observation b139092c-8413-430a-8b3f-cdb18ce0a56a · outbound

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Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , volume=

Reference 34

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Observation f8b7f5a3-2e90-421c-a88a-ef3810f6edfa · outbound

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Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 35

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Observation 490d0d56-def3-457b-80a0-ece43547149d · outbound

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Extending LLM Context via Associative Recurrent Memory International Conference on Learning Representations , year=

Reference 36

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Observation 76fa47aa-e264-47a1-ac24-998113ebb4c9 · outbound

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Extending LLM Context via Associative Recurrent Memory A new frontier for

Reference 37

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Observation 3c4849ae-7052-4551-869e-8ea440313e88 · outbound

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Extending LLM Context via Associative Recurrent Memory International Conference on Learning Representations , year=

Reference 38

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Observation be29ab7c-8fba-4f35-87da-fda6039fbca6 · outbound

This paper cites The Exponential Capacity of Dense Associative Memories.

Extending LLM Context via Associative Recurrent Memory The Exponential Capacity of Dense Associative Memories

Reference 39

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Observation c902513c-cfed-49cc-ad57-6daf22f67dfc · outbound

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Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 40

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Observation 2fa3cf89-ad78-4e6a-a91e-5e200c7daf0f · outbound

This paper cites Frontiers in big Data , volume=.

Extending LLM Context via Associative Recurrent Memory Frontiers in big Data , volume=

Reference 41

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:e9382da45c227b022726db8634a2d90690acd7611129cb5e89f3199613365182

Observation 102b5427-3b39-4315-8594-11f2f33e0d2b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , volume=

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Observation 97b61f01-4144-4a77-b569-cb5ab9d301fc · outbound

This paper cites International Conference on Machine Learning , pages=.

Extending LLM Context via Associative Recurrent Memory International Conference on Machine Learning , pages=

Reference 43

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Observation 07a8e6a5-ca91-4676-a418-9435a71243f3 · outbound

This paper cites Sequential Memory with Temporal Predictive Coding.

Extending LLM Context via Associative Recurrent Memory Sequential Memory with Temporal Predictive Coding

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Observation e73cbf82-e8aa-4c23-98e1-e660d9a1d3ef · outbound

This paper cites International Conference on Machine Learning , year=.

Extending LLM Context via Associative Recurrent Memory International Conference on Machine Learning , year=

Reference 45

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Observation 4867cbb5-f431-4126-ba93-f05488dce93c · outbound

This paper cites International Conference on Machine Learning , pages=.

Extending LLM Context via Associative Recurrent Memory International Conference on Machine Learning , pages=

Reference 46

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Observation cbff29c4-3697-496e-b0ba-dc417964b8ae · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Extending LLM Context via Associative Recurrent Memory The Eleventh International Conference on Learning Representations , year=

Reference 47

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Observation a04e1f28-73d7-4c0a-9fa6-958a2988e5c7 · outbound

This paper cites International Conference on Machine Learning , pages=.

Extending LLM Context via Associative Recurrent Memory International Conference on Machine Learning , pages=

Reference 48

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Observation 569683b9-7235-474c-ad89-b08f9dd377da · outbound

This paper cites Nature , volume=.

Extending LLM Context via Associative Recurrent Memory Nature , volume=

Reference 49

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Observation bd164a4e-30ff-4773-9817-8718b2611786 · outbound

This paper cites IEEE Transactions on computers , volume=.

Extending LLM Context via Associative Recurrent Memory IEEE Transactions on computers , volume=

Reference 50

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:3c55838a2c5fd580dcb94bde90a116ee11e83e2a891c43dd415bd9e0eb827884

Observation e024716c-986f-4b68-93f2-ec8900c24652 · outbound

This paper cites Memorizing Transformers.

Extending LLM Context via Associative Recurrent Memory Memorizing Transformers

Reference 51

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:30595120212c633107dff0f647eadcbe5fefb9fb3ff796665f638b8848502b4b

Observation 6bfc64eb-7009-4da5-ab78-242979099802 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , volume=

Reference 52

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:511480527fd60df986cfe75d9662409c99f6d0ad9d373d13e3a5d88c2fe6c9bf

Observation 8e3ffc0b-cb0b-4bcb-8e55-0962bd82ff14 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , url =.

Extending LLM Context via Associative Recurrent Memory Proceedings of the AAAI Conference on Artificial Intelligence , url =

Reference 53

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Observation c56e311a-e789-41c8-b385-760f7da2936f · outbound

This paper cites CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.

Extending LLM Context via Associative Recurrent Memory CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 54

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:dd46c912793c579663f678733bab9c68e8d73d5deb4b6c37ea7888e39a43b666

Observation 8f70fee6-19a3-4d3d-82dd-7632a5c6b537 · outbound

This paper cites Nature Human Behaviour , pages=.

Extending LLM Context via Associative Recurrent Memory Nature Human Behaviour , pages=

Reference 55

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:9ed19e5a1318076e24e3db115b13a3949bf9334576a3676b2a68a75d6906981b

Observation e85e88f7-de5a-4ee5-be83-9e1b68d520e2 · outbound

This paper cites Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action.

Extending LLM Context via Associative Recurrent Memory Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 56

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:9dbca47cb455dd4708d3719fa426bbf674fb0acb89de00314431fe43b87e9d6b

Observation f726b6ce-b72e-4443-ac8d-e97d60892d1a · outbound

This paper cites Neural Networks , volume=.

Extending LLM Context via Associative Recurrent Memory Neural Networks , volume=

Reference 57

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Observation a5518a33-cf84-483a-bbcb-73e3450f954b · outbound

This paper cites Physica A: Statistical Mechanics and its Applications , volume=.

Extending LLM Context via Associative Recurrent Memory Physica A: Statistical Mechanics and its Applications , volume=

Reference 58

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:e0a05a030837a562339d52fc25293658b0fa15d0f5e9282dc26dd5d06512e626

Observation ac3398b0-772a-4c71-807d-0040b6ed674f · outbound

This paper cites Memory Mosaics.

Extending LLM Context via Associative Recurrent Memory Memory Mosaics

Reference 59

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:bd2e0592f35929bf7f9abd0c13b3c843415d5b0ebddf1931fe89f9b84b5b1eed

Observation b8f4ee3e-40c8-47a1-b9ed-6a19a4f9bc6e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , volume=

Reference 60

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Observation 90848323-cfd0-4ccf-94f1-ef7e6f4aaace · outbound

This paper cites 2024 , eprint=.

Extending LLM Context via Associative Recurrent Memory 2024 , eprint=

Reference 61

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Observation c366f1c2-63f1-47a8-be6c-505d24bf94ba · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Extending LLM Context via Associative Recurrent Memory Forty-first International Conference on Machine Learning , year=

Reference 62

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Observation ea6af549-87fd-4029-8cde-16c0fa4f8e12 · outbound

This paper cites Workshop on Machine Learning and Compression, NeurIPS 2024 , year=.

Extending LLM Context via Associative Recurrent Memory Workshop on Machine Learning and Compression, NeurIPS 2024 , year=

Reference 63

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Observation 2df83d8e-6979-40f8-be9a-96532df24d28 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Extending LLM Context via Associative Recurrent Memory The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 64

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Observation 8e1f5d4d-d7cd-4f45-92af-ee872a4a9a18 · outbound

This paper cites 2020 , eprint=.

Extending LLM Context via Associative Recurrent Memory 2020 , eprint=

Reference 65

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Observation cf27fa50-7b32-4c25-be4a-a1f28285be1d · outbound

This paper cites Transactions of the Association for Computational Linguistics , url =.

Extending LLM Context via Associative Recurrent Memory Transactions of the Association for Computational Linguistics , url =

Reference 66

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Observation bbab1bf3-78dd-4967-84e3-31fe161a1cf9 · outbound

This paper cites Recurrent Memory Transformer , url =.

Extending LLM Context via Associative Recurrent Memory Recurrent Memory Transformer , url =

Reference 67

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:2dce55c8bc66643909b11750b8220e7b39f73c64d1d18af597143e8a73541d44

Observation f1cb4f8f-8a80-48a3-937e-e90f085e2e76 · outbound

This paper cites Transformers are.

Extending LLM Context via Associative Recurrent Memory Transformers are

Reference 68

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Observation b283161d-099e-49e7-90f1-42aef112aa97 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:99f46dcb6e469c94ec401db24fe7d7488c7c47c2e8af3a3412c1aae32cc9f17e

Observation 502fbc6c-9be3-4786-b087-c61967304dee · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Extending LLM Context via Associative Recurrent Memory SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 70

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Observation bb73c4f5-3e4b-4842-b60d-02c8bdf0fb57 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 71

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Observation 86d075fc-0ef4-4f7a-ada4-cfade2ce7163 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Extending LLM Context via Associative Recurrent Memory Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 72

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:c67833e9dd3b88ecbd5f685fc8e66a545e3d13af4c28f9ee8498920ab61a81a8

Observation 6bc58fe5-52c8-480d-a383-18ead3ae671b · outbound

This paper cites Introducing the next generation of.

Extending LLM Context via Associative Recurrent Memory Introducing the next generation of

Reference 73

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:6cfd750e8faa915847ee8de065c209ae5ed699e1f54ac83e760cc25acd32c315

Observation 5d7317b0-4b65-4461-b49e-b47915872300 · outbound

This paper cites New models and developer products announced at.

Extending LLM Context via Associative Recurrent Memory New models and developer products announced at

Reference 74

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:92a703aadb4b44d6313f922ce2fec64c128753ef90751fb68f6434fb5c7fe8af

Observation dbff298a-8a86-4099-9e9e-57665fda0623 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 75

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:88453e48a15b53baa668841fb0c0e3206948a56fdfdcba6c6c5b868ce8e81383

Observation dbd779ad-d361-49bc-87f3-61926aa3bb5a · outbound

This paper cites 2020 , eprint=.

Extending LLM Context via Associative Recurrent Memory 2020 , eprint=

Reference 76

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:1d47619ffa2ce399e92ed98febeab497b96eb1d4c5d29e84c32209f59541d8fe

Observation 3a266858-2d24-434b-a856-55a96b579726 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=.

Extending LLM Context via Associative Recurrent Memory Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

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Observation 9f6ae0c1-b2cf-44e4-bd81-c12385e14783 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages=.

Extending LLM Context via Associative Recurrent Memory Proceedings of the 41st International Conference on Machine Learning , pages=

Reference 78

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:a8263feeba4de1d4ae70637524975b7acdcb9bb2f5d11a81b1e408119c00815c

Observation dee80a99-cfbb-4d24-9d88-34b27541b5b1 · outbound

This paper cites International Conference on Machine Learning , url =.

Extending LLM Context via Associative Recurrent Memory International Conference on Machine Learning , url =

Reference 79

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Observation a41eb1cb-65f7-41b3-84e6-f32fa488628e · outbound

This paper cites First Conference on Language Modeling , year=.

Extending LLM Context via Associative Recurrent Memory First Conference on Language Modeling , year=

Reference 80

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:5d30de203cdc989148e9d6357646d3535ac1a3e5edc76f8190b1d37cedc6d350

Observation be4964ed-6264-4a08-8967-2637da14fb1f · outbound

This paper cites Gated Delta Networks: Improving.

Extending LLM Context via Associative Recurrent Memory Gated Delta Networks: Improving

Reference 81

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:a8ef6ad1e35396145f44d4eeb6b4ce5a3753a57537fd432a698b7a3135ef525f

Observation 571354df-553f-4ba6-b9a3-10dd877bddce · outbound

This paper cites Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , url =.

Extending LLM Context via Associative Recurrent Memory Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , url =

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Observation e2786946-ce00-42a9-8852-5c7943b8a060 · outbound

This paper cites SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , url =.

Extending LLM Context via Associative Recurrent Memory SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , url =

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Observation b3aa2fe5-d5f2-4e88-a2e8-231e90a8ddec · outbound

This paper cites Jamba: Hybrid.

Extending LLM Context via Associative Recurrent Memory Jamba: Hybrid

Reference 84

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Observation 3123aff8-dffc-4b83-8b85-5dc89fba8c8f · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Extending LLM Context via Associative Recurrent Memory Generating Long Sequences with Sparse Transformers

Reference 85

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:dc737c71309e9814045e7108e2715ce9e770e140aa3e583670776fb996852f25

Observation ae11a0dc-01a6-48c8-b84b-7c5939fa6356 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Extending LLM Context via Associative Recurrent Memory The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 86

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Observation 879c2268-87e7-4078-88b9-235d124e0d95 · outbound

This paper cites an unresolved cited work.

Extending LLM Context via Associative Recurrent Memory Unresolved cited work

Reference 87

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Observation 25d1855f-bd7d-4940-8bfb-57ca10a7db96 · outbound

This paper cites Proceedings of the 38th International Conference on Neural Information Processing Systems , url=.

Extending LLM Context via Associative Recurrent Memory Proceedings of the 38th International Conference on Neural Information Processing Systems , url=

Reference 88

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:72ec6cdb1e4ca3e92435d5f7899c4c140a756a8c3213da8cc630f6c1224e68cb

Observation 8de02437-db01-48ca-aecb-2935f12f10e7 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , url=.

Extending LLM Context via Associative Recurrent Memory Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , url=

Reference 89

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Observation 33066cb1-3530-483c-bbcf-292fcdd740ae · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Extending LLM Context via Associative Recurrent Memory The Thirteenth International Conference on Learning Representations , year=

Reference 90

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Observation 9d06a210-b8d5-416f-bf83-da5842df6c55 · outbound

This paper cites Progress in Brain Research , volume=.

Extending LLM Context via Associative Recurrent Memory Progress in Brain Research , volume=

Reference 91

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Observation 71f77351-4932-4e2d-9821-b046a3d5a941 · outbound

This paper cites SCROLLS : Standardized C ompa R ison Over Long Language Sequences.

Extending LLM Context via Associative Recurrent Memory SCROLLS : Standardized C ompa R ison Over Long Language Sequences

Reference 92

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Observation f23ecb9a-2c2c-45c5-9f61-0c4654140532 · outbound

This paper cites C ontract NLI : A Dataset for Document-level Natural Language Inference for Contracts.

Extending LLM Context via Associative Recurrent Memory C ontract NLI : A Dataset for Document-level Natural Language Inference for Contracts

Reference 93

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:1e7afd3f4dc73f18a8c6465ff89f46eec2db527ef021c25c0472f1024bd92e75

Observation 6e868c84-9a6f-493c-87e8-54a3935ed209 · outbound

This paper cites Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts.

Extending LLM Context via Associative Recurrent Memory Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts

Reference 94

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Observation 75a754fd-0a56-49af-bcd0-4347809b65cc · outbound

This paper cites Transformers are.

Extending LLM Context via Associative Recurrent Memory Transformers are

Reference 95

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:9400c0ba9f772e4002faf35eb147043ce65e61b15fadc758a57078d43b8ecbc1

Observation 6ee63ef9-ce47-4a40-a2b3-44faf30db6c0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Extending LLM Context via Associative Recurrent Memory Advances in Neural Information Processing Systems , volume=

Reference 96

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:b84642b61a8aa96bd3aef75be7b7d38910c284c77cb4008bb4578ce47f68db56

Observation 07875d07-8af3-4141-a948-e2de7fd4d1b4 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models , url =.

Extending LLM Context via Associative Recurrent Memory YaRN: Efficient Context Window Extension of Large Language Models , url =

Reference 97

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:3f83723661151695c7635c340636dffd911fbe57e812cad5322ffe7fb887d7a9

Observation 8d311c6a-386a-4533-b47f-26c9ea0e201b · outbound

This paper cites International Conference on Learning Representations , url=.

Extending LLM Context via Associative Recurrent Memory International Conference on Learning Representations , url=

Reference 98

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:05b2ae0c0e206e1ac3476833db96db3530982a585e149283a907fad3e226f0ff

Observation c14213f2-ccc0-40be-b6eb-18e3ba464199 · outbound

This paper cites 2024 , url=.

Extending LLM Context via Associative Recurrent Memory 2024 , url=

Reference 99

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source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:702ad5146a89cd65542b6876a50e9f39f18af982efc5e17fe0e1097c53509aa6

Observation 51628846-eaa2-45a1-914e-8831dea11b4f · outbound

This paper cites Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

Extending LLM Context via Associative Recurrent Memory Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 100

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Pith citing papers

No inbound Pith citation observations are available.