Paper Citation Record · LEDGER

Understanding Transformer from the Perspective of Associative Memory

As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 17 inbound Pith citation observations for arXiv:2505.19488.

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

pith.paper-citation-record.v1
2505.19488 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:55.465965Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:31:49.202413Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

58 of 58 outbound references displayed

verified exact1
verified fuzzy18
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 982a9add-cfe5-4e9e-8923-37b554e4d31b · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Understanding Transformer from the Perspective of Associative Memory GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:48.202553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84fe1e74-9ca6-4631-8a7e-e4aeb443f44d · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Understanding Transformer from the Perspective of Associative Memory Titans: Learning to Memorize at Test Time

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:48.258475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 072cfd15-74ff-4855-b41d-1cb5575104aa · outbound

This paper cites It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization.

Understanding Transformer from the Perspective of Associative Memory It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:48.338446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df3a07c7-3844-4ebf-abc9-c014edbc79c5 · outbound

This paper cites Language models are few-shot learners.

Understanding Transformer from the Perspective of Associative Memory Language models are few-shot learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:48.427457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a21085-8d98-4659-93fa-8a55db78a3e2 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Understanding Transformer from the Perspective of Associative Memory FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:48.597642Z

Source-reported events for the cited work

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Observation 3811f605-a679-4e90-9c69-65a9ca5ed12f · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Understanding Transformer from the Perspective of Associative Memory Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:59.894980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0855dbab-07a5-4ddb-968e-ddb971d1964c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Understanding Transformer from the Perspective of Associative Memory An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:48.858192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a67a84c-89c6-41db-a10a-44decb6d1c39 · outbound

This paper cites Softmax linear units.Transformer Circuits Thread, 2022.

Understanding Transformer from the Perspective of Associative Memory Softmax linear units.Transformer Circuits Thread, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:59.732035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 948a3e61-0266-4c89-88db-0625f096b822 · outbound

This paper cites Toy models of superposition.Transformer Circuits Thread, 2022.

Understanding Transformer from the Perspective of Associative Memory Toy models of superposition.Transformer Circuits Thread, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:59.576119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c52f9112-bd99-4065-94fa-9f191caa355c · outbound

This paper cites Chain and causal attention for efficient entity tracking.

Understanding Transformer from the Perspective of Associative Memory Chain and causal attention for efficient entity tracking

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:59.419926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 42eafd23-1629-41d6-b6ec-0183285ccaae · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022.

Understanding Transformer from the Perspective of Associative Memory Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:49.379244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29210e14-3e92-4467-8e01-90a01f302697 · outbound

This paper cites What can transformers learn in-context? a case study of simple function classes.Advancesin Neural Information Processing Systems, 35:30583–30598, 2022.

Understanding Transformer from the Perspective of Associative Memory What can transformers learn in-context? a case study of simple function classes.Advancesin Neural Information Processing Systems, 35:30583–30598, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:59.259097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 966e8ea6-74e0-423d-9c5d-b082a58f51c0 · outbound

This paper cites Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues.

Understanding Transformer from the Perspective of Associative Memory Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:49.695457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd0418e1-7678-436e-ba52-c91dbc0ebcf4 · outbound

This paper cites Superposition, memorization, and double descent.Transformer Circuits Thread, 6:24, 2023.

Understanding Transformer from the Perspective of Associative Memory Superposition, memorization, and double descent.Transformer Circuits Thread, 6:24, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:59.112026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd72a012-d7d3-444c-9c68-dada0dd9cae8 · outbound

This paper cites Psychology press, 2014.

Understanding Transformer from the Perspective of Associative Memory Psychology press, 2014

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.964170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f68e4245-9eb3-4d56-99bb-23c829e8995c · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Understanding Transformer from the Perspective of Associative Memory Highly accurate protein structure prediction with alphafold

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.067646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f1ba6c-8e12-4c9c-af19-b91e04116cbc · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Understanding Transformer from the Perspective of Associative Memory Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.174473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1d0da7-ed27-460e-b3cd-f76704d04079 · outbound

This paper cites The impact of positional encoding on length generalization in transformers.Advancesin Neural Information Processing Systems, 36:24892–24928, 2023.

Understanding Transformer from the Perspective of Associative Memory The impact of positional encoding on length generalization in transformers.Advancesin Neural Information Processing Systems, 36:24892–24928, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.837680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c46b6a12-6c04-4023-927b-6b6910fdf061 · outbound

This paper cites Correlation matrix memories.IEEE transactions on computers, 100(4):353–359, 1972.

Understanding Transformer from the Perspective of Associative Memory Correlation matrix memories.IEEE transactions on computers, 100(4):353–359, 1972

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.673739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9299f381-ec98-4f30-9b48-cc9f505b8784 · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

Understanding Transformer from the Perspective of Associative Memory MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.482050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ed79ce-0bf7-42e2-b619-322b8645d438 · outbound

This paper cites Forgetting Transformer: Softmax Attention with a Forget Gate.

Understanding Transformer from the Perspective of Associative Memory Forgetting Transformer: Softmax Attention with a Forget Gate

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.604148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9e27009-7d3b-4fa7-9d24-95d00e5c6889 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

Understanding Transformer from the Perspective of Associative Memory MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.728759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1893a3-6414-4262-8842-8de256830b1b · outbound

This paper cites The parallelism tradeoff: Limitations of log-precision transformers.

Understanding Transformer from the Perspective of Associative Memory The parallelism tradeoff: Limitations of log-precision transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.834567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b7eee0-3001-4e58-a042-ce82f1fdc818 · outbound

This paper cites The illusion of state in state-space models.

Understanding Transformer from the Perspective of Associative Memory The illusion of state in state-space models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.893975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6906ff9-ef30-44d5-b076-2216026d0035 · outbound

This paper cites In-context Learning and Induction Heads.

Understanding Transformer from the Perspective of Associative Memory In-context Learning and Induction Heads

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:50.974591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f1e89f-9ab0-4efb-b7bf-9c63b5fe5582 · outbound

This paper cites RWKV-7 "Goose" with Expressive Dynamic State Evolution.

Understanding Transformer from the Perspective of Associative Memory RWKV-7 "Goose" with Expressive Dynamic State Evolution

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:51.037047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ba66522-3505-4300-b569-2385b6571fb0 · outbound

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

Understanding Transformer from the Perspective of Associative Memory YaRN: Efficient Context Window Extension of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:51.136138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04233f8a-33dc-4283-86b4-efae21b7bb35 · outbound

This paper cites Mechanistic design and scaling of hybrid architectures.

Understanding Transformer from the Perspective of Associative Memory Mechanistic design and scaling of hybrid architectures

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.491870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81fd572e-629b-4b9e-9e2c-83797eb13b88 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Understanding Transformer from the Perspective of Associative Memory Learning transferable visual models from natural language supervision

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:51.454975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec05bcd-a4bb-4007-adae-4b662f9c4126 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

Understanding Transformer from the Perspective of Associative Memory Robust speech recognition via large-scale weak supervision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:51.610189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e2d798-1895-4aff-9d9d-e75ffd282b1f · outbound

This paper cites Hopfield Networks is All You Need.

Understanding Transformer from the Perspective of Associative Memory Hopfield Networks is All You Need

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:51.706205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69142d11-ad3a-4729-8765-ba4f5e4ba85e · outbound

This paper cites Understanding transformer reasoning capabilities via graph algorithms.Advancesin Neural Information Processing Systems, 37:78320–78370, 2024.

Understanding Transformer from the Perspective of Associative Memory Understanding transformer reasoning capabilities via graph algorithms.Advancesin Neural Information Processing Systems, 37:78320–78370, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.332024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 92766f43-3dc6-4a8e-a2bb-97bdb323697a · outbound

This paper cites Linear transformers are secretly fast weight programmers.

Understanding Transformer from the Perspective of Associative Memory Linear transformers are secretly fast weight programmers

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.177648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fa3efda4-3172-4620-8faa-9be43670d510 · outbound

This paper cites FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision.

Understanding Transformer from the Perspective of Associative Memory FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.093623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f23cfae-66c6-4932-9515-b28d324edded · outbound

This paper cites GLU Variants Improve Transformer.

Understanding Transformer from the Perspective of Associative Memory GLU Variants Improve Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.175656Z

Source-reported events for the cited work

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Observation cf08b6c8-1c3f-496e-9aad-3bcdb9b656a0 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Understanding Transformer from the Perspective of Associative Memory Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.307267Z

Source-reported events for the cited work

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Observation e6250802-0980-4c55-8a29-cf60446cfc06 · outbound

This paper cites NormFormer: Improved Transformer Pretraining with Extra Normalization.

Understanding Transformer from the Perspective of Associative Memory NormFormer: Improved Transformer Pretraining with Extra Normalization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.425001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb8c1a1-4841-46e6-9b06-0958c6c76b3b · outbound

This paper cites Deltaproduct: Improving state-tracking in linear rnns via householder products.arXiv preprint arXiv:2502.10297, 2025.

Understanding Transformer from the Perspective of Associative Memory Deltaproduct: Improving state-tracking in linear rnns via householder products.arXiv preprint arXiv:2502.10297, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.549499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719734b1-afff-42b4-9aea-d7e01ee2d3b2 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Understanding Transformer from the Perspective of Associative Memory Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.703316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c206d43c-6882-49c1-9f06-55b742c8184d · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Understanding Transformer from the Perspective of Associative Memory Retentive Network: A Successor to Transformer for Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:52.899830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8080f62-66c3-4f4b-9c95-86dca39712f5 · outbound

This paper cites Associative learning and the hippocampus.

Understanding Transformer from the Perspective of Associative Memory Associative learning and the hippocampus

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:58.018810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5977f8d5-cd66-40ac-984f-4c7c6dfabc8f · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

Understanding Transformer from the Perspective of Associative Memory Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:53.170456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f60b11-1684-4761-86d2-f3e467f9bf2f · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Understanding Transformer from the Perspective of Associative Memory Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:53.312631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7586f8e-18a6-4212-9f91-f085bd39dd63 · outbound

This paper cites Length Generalization of Causal Transformers without Position Encoding.

Understanding Transformer from the Perspective of Associative Memory Length Generalization of Causal Transformers without Position Encoding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:53.463146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63350a0c-44c2-4415-90fd-f84177b3fd46 · outbound

This paper cites Test-time regression: a unifying framework for designing sequence models with associative memory.

Understanding Transformer from the Perspective of Associative Memory Test-time regression: a unifying framework for designing sequence models with associative memory

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:53.627251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3faf0b22-898e-4b7a-a7ad-d4121003e275 · outbound

This paper cites KV Shifting Attention Enhances Language Modeling.

Understanding Transformer from the Perspective of Associative Memory KV Shifting Attention Enhances Language Modeling

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:55.723952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fd6cf88-b12e-4883-9be2-cb53f0bd329b · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

Understanding Transformer from the Perspective of Associative Memory Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:53.893407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c654cb-d479-431e-b9f7-197bf653f528 · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length.

Understanding Transformer from the Perspective of Associative Memory Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:54.017185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7d8ae9-6785-499f-9f10-6b77be9136ce · outbound

This paper cites Root mean square layer normalization.Advancesin Neural Information Processing Systems, 32, 2019.

Understanding Transformer from the Perspective of Associative Memory Root mean square layer normalization.Advancesin Neural Information Processing Systems, 32, 2019

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:57.838596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a34f8f1-763d-45f6-aee5-0dfc94d66f9d · outbound

This paper cites Probabilistic methods in combinatorics.Draft available at https://yufeizhao.

Understanding Transformer from the Perspective of Associative Memory Probabilistic methods in combinatorics.Draft available at https://yufeizhao

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:57.696442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e3d3d69-df75-44da-ad7a-9653f1d784dc · outbound

This paper cites "" n is the pr evi ou s v , v is a ct ua lly new v.

Understanding Transformer from the Perspective of Associative Memory "" n is the pr evi ou s v , v is a ct ua lly new v

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:57.537887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 925954fa-a989-4797-bda0-3d72d3878531 · outbound

This paper cites an unresolved cited work.

Understanding Transformer from the Perspective of Associative Memory Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:57.356697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cdb240bc-9b05-4561-92a3-b0daeb3c19a2 · outbound

This paper cites an unresolved cited work.

Understanding Transformer from the Perspective of Associative Memory Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:57.182989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d65f8227-e3ce-4ee7-a321-19d3b2145287 · outbound

This paper cites an unresolved cited work.

Understanding Transformer from the Perspective of Associative Memory Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:57.022894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbaaf141-3765-4be0-9339-1588d98e27f0 · outbound

This paper cites an unresolved cited work.

Understanding Transformer from the Perspective of Associative Memory Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:56.843672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81cd2aea-298a-4191-9d65-c95d148cf0fd · outbound

This paper cites an unresolved cited work.

Understanding Transformer from the Perspective of Associative Memory Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:56.684780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb31a264-361d-4006-b561-8edc3aac31c6 · outbound

This paper cites Combining all the above cases, we have completed the proof.

Understanding Transformer from the Perspective of Associative Memory Combining all the above cases, we have completed the proof

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:56.452139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 66cd9124-6ece-4b52-91dd-e926052f15f1 · outbound

This paper cites b h s d , b h t d - > b h s t.

Understanding Transformer from the Perspective of Associative Memory b h s d , b h t d - > b h s t

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:56.312695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 17b1bf38-c00a-4fb3-b880-4edc9ac636c4 · inbound

Distributed Associative Memory via Online Convex Optimization cites this paper.

Distributed Associative Memory via Online Convex Optimization Understanding Transformer from the Perspective of Associative Memory

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ed42b36-bcf5-4ad4-8678-10b7660514b7 · inbound

Short window attention enables long-term memorization cites this paper.

Short window attention enables long-term memorization Understanding Transformer from the Perspective of Associative Memory

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:11:21.723798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Understanding Transformer from the Perspective of Associative Memory

Reference 71

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 625b05b7-d75d-4563-b9e1-1400f455b880 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Understanding Transformer from the Perspective of Associative Memory

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f08202-9af9-43b8-897b-cbf726f15efc · inbound

Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.

Kimi Linear: An Expressive, Efficient Attention Architecture Understanding Transformer from the Perspective of Associative Memory

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:49:10.979178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7847bc42-780b-4ca8-9d96-82177ccb22e6 · inbound

Distributed Dynamic Associative Memory via Online Convex Optimization cites this paper.

Distributed Dynamic Associative Memory via Online Convex Optimization Understanding Transformer from the Perspective of Associative Memory

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T19:39:07.995630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 718c94f9-5c6e-4b86-b1fa-dab0e68b3010 · inbound

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models cites this paper.

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models Understanding Transformer from the Perspective of Associative Memory

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T04:55:44.318733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8aaf4b9-fbf0-4824-b867-fe7b307d8635 · inbound

Test-Time Training with KV Binding Is Secretly Linear Attention cites this paper.

Test-Time Training with KV Binding Is Secretly Linear Attention Understanding Transformer from the Perspective of Associative Memory

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:41:32.692482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c3d4610-5dc0-43d5-97c0-ff5fdd3308eb · inbound

Stateful Token Reduction for Long-Video Hybrid VLMs cites this paper.

Stateful Token Reduction for Long-Video Hybrid VLMs Understanding Transformer from the Perspective of Associative Memory

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb513d6-b13d-4e65-b9ec-b5a473f04874 · inbound

Attention Residuals cites this paper.

Attention Residuals Understanding Transformer from the Perspective of Associative Memory

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:39:04.482086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 319df3c7-82a0-4bef-846f-2a325020f2b7 · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention Understanding Transformer from the Perspective of Associative Memory

Reference 85

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8f3772a-a66b-4470-82c4-12428b7ac48b · inbound

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts cites this paper.

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts Understanding Transformer from the Perspective of Associative Memory

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:09.342589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3920d616-accf-4d3d-9b74-c6a7c7f62e7e · inbound

More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activations cites this paper.

More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activations Understanding Transformer from the Perspective of Associative Memory

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:54.829295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11e349c6-a2ae-4dd9-95b6-6a4b5e6acbc9 · inbound

FlowNar: Scalable Streaming Narration for Long-Form Videos cites this paper.

FlowNar: Scalable Streaming Narration for Long-Form Videos Understanding Transformer from the Perspective of Associative Memory

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.727880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a5855a6b-15ae-439a-8f29-8b22ad305d86 · inbound

When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet cites this paper.

When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet Understanding Transformer from the Perspective of Associative Memory

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-06-28T02:41:31.878765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b0fad31b-2c64-471d-9508-94d14446bece · inbound

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving cites this paper.

PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving Understanding Transformer from the Perspective of Associative Memory

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:55:41.512965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3108fa4a-0c09-4c80-9a01-83e56e3d107c · inbound

Raven: High-Recall Sequence Modeling with Sparse Memory Routing cites this paper.

Raven: High-Recall Sequence Modeling with Sparse Memory Routing Understanding Transformer from the Perspective of Associative Memory

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T02:44:01.805678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.