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Paper Citation Record · LEDGER

Express Language Modeling

As of 13 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.10944.

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

pith.paper-citation-record.v1
2606.10944 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:45:03.532943Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

35 of 35 outbound references displayed

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  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

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Outbound references

Observation e45b77b4-03e2-4b8c-ab8d-f6c7463dadae · outbound

This paper cites Discrepancy minimization via a self-balancing walk.

Express Language Modeling Discrepancy minimization via a self-balancing walk

Reference 1

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:37df10417e0f3b2ec6f00e37e46a6b93682c91221fb809e1a48e4a76351aff3e

Observation 90d19da5-8dab-4241-8866-ef81dbba9b6d · outbound

This paper cites Longbench: A bilingual, multitask benchmark for long context understanding.

Express Language Modeling Longbench: A bilingual, multitask benchmark for long context understanding

Reference 2

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:0fe27a229feedbbebf47e6be2f25a22154514550b292c51e0d478df79781857c

Observation 574fdf05-9b2b-4e0d-ba62-91c6a94a6c42 · outbound

This paper cites Pyramidkv: Dynamic kv cache compression based on pyramidal information funneling.

Express Language Modeling Pyramidkv: Dynamic kv cache compression based on pyramidal information funneling

Reference 3

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:d24e24939d5279c54bb90c3ee000453a9d8658f82cdc9da11d8aa240b3b3205b

Observation 75a421c0-d9aa-4db1-aec8-fe3f577b5edc · outbound

This paper cites Low-rank thinning.

Express Language Modeling Low-rank thinning

Reference 4

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:c82871b228e9f2a2ad9953d8253c090a6625b2e73f0371098ebd3d081d85e27e

Observation f87c2032-c25a-43a2-8e10-5c5f426c5526 · outbound

This paper cites On linear-time deterministic algorithms for optimization problems in fixed dimension.Journal of Algorithms, 21(3):579–597, 1996.(Cited on page 6.).

Express Language Modeling On linear-time deterministic algorithms for optimization problems in fixed dimension.Journal of Algorithms, 21(3):579–597, 1996.(Cited on page 6.)

Reference 5

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:9eb1b41539828bc987eb8cb0256e49da8824ec0829a8214fa7833b0376fec3d8

Observation d170db6e-a557-41b3-b621-05a5e16c4580 · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning.

Express Language Modeling Flashattention-2: Faster attention with better parallelism and work partitioning

Reference 6

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:2b1532ff95b094cdae9fba6afe5bbc915680b517c928eb629d26de45b81a326c

Observation b6df60af-f0c1-41a2-9bfa-8c93ceb0362c · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.Advances in Neural Information Processing Systems, 35:16344–16359, 2022.(Cited on pages 1 and 7.).

Express Language Modeling Flashattention: Fast and memory-efficient exact attention with io-awareness.Advances in Neural Information Processing Systems, 35:16344–16359, 2022.(Cited on pages 1 and 7.)

Reference 7

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:69fb9c72e87e380728216984445b264571b46a8d06e238d7d9bf17b0850e8a53

Observation 6631bd1b-eee6-492c-8e2d-fe3e9bd151ef · outbound

This paper cites A simple and effective l_2 norm-based strategy for kv cache compression.

Express Language Modeling A simple and effective l_2 norm-based strategy for kv cache compression

Reference 8

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:5f588fb409e39e750b45479fa4c6bca69e3b8022180d94c7fdeba5fddf002a31

Observation 4fd10837-4715-4802-8b4e-d7373507b068 · outbound

This paper cites Expected attention: KV cache compression by estimating attention from future queries distribution.

Express Language Modeling Expected attention: KV cache compression by estimating attention from future queries distribution

Reference 9

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arxiv_id, observed 2026-07-03T04:37:37.412042Z

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:e9155af7a0e29e729f3bd76fe7d4c51d80925f0366536a045af43c249bb6c5ca

Observation ff88c763-4822-491d-9657-dbcf1cf37500 · outbound

This paper cites Generalized kernel thinning.

Express Language Modeling Generalized kernel thinning

Reference 10

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:264d83d78b581fc78a3bf9b8e8f559eafc3d93285b094031fea46ebe68c04944

Observation b50849c0-3f7a-4b6c-a35c-d2dfd24fdc9b · outbound

This paper cites Kernel thinning.Journal of Machine Learning Research, 25 (152):1–77, 2024.(Cited on pages 2, 5, and 15.).

Express Language Modeling Kernel thinning.Journal of Machine Learning Research, 25 (152):1–77, 2024.(Cited on pages 2, 5, and 15.)

Reference 11

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:bb377237adbb0e404b099f09e85feaf750a2c61f49e1b261186a90c297df26fe

Observation be0d4b06-ea92-4a0c-b8f0-8ed76287d7d9 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Express Language Modeling ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 12

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local_arxiv, observed 2026-07-03T04:37:37.409067Z

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:067383f6bd991f377460bd335317af9ccea80017d17f019305aa14028e802987

Observation 26e6f224-00b9-4392-9730-464c558ef55f · outbound

This paper cites The Llama 3 Herd of Models.

Express Language Modeling The Llama 3 Herd of Models

Reference 13

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:9b6012e72e708cba439ab39c749d1addddaf91e0c60d28df123fe15709113b7a

Observation fc869b47-85b6-4bbf-b234-75ef37f50268 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081):633–638, 2025.(Cited on pages 1 and 9.).

Express Language Modeling Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081):633–638, 2025.(Cited on pages 1 and 9.)

Reference 14

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:8c15e84675424c68f259a42fa0bca916595dc13a7b0969b8d95fcf7c31842197

Observation 2e36604d-0b80-40e4-9a36-b9d0c56bb9c6 · outbound

This paper cites Hyperattention: Long-context attention in near-linear time.

Express Language Modeling Hyperattention: Long-context attention in near-linear time

Reference 15

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Observation b38b8d1f-35cc-4305-8b71-863b495d682c · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Express Language Modeling Measuring mathematical problem solving with the MATH dataset

Reference 16

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Observation ab7385c3-d144-4291-ae8f-81a540e000bc · outbound

This paper cites Journal of the American Statistical Association 58(301), 13–30 (1963), http://www.jstor.org/stable/2282952.

Express Language Modeling Journal of the American Statistical Association 58(301), 13–30 (1963), http://www.jstor.org/stable/2282952

Reference 17

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:b372c58ff1938405cf7c466f8ee813be41061e1139a165ccadd15d34882e9b5b

Observation e07238ce-4190-437a-a2fe-258c65f78151 · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

Express Language Modeling Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 18

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:e77d2f47f0f56b0cbe906e569ce40ff694c41211fc6a3230a5910ebf5300d22e

Observation 0e8b7195-f9c2-4718-bb2c-2af80daf91e3 · outbound

This paper cites Streaming attention approximation via discrepancy theory.

Express Language Modeling Streaming attention approximation via discrepancy theory

Reference 19

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:776e4b2ff9ea1e76f698ca0db0bf166eead9040886c0789330a8595cad3dbdb8

Observation 28c23660-43d4-4306-a7b8-bec65be81222 · outbound

This paper cites Learning question classifiers.

Express Language Modeling Learning question classifiers

Reference 20

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Observation 741255c9-5b38-4bf2-89aa-f36944de43de · outbound

This paper cites Snapkv: Llm knows what you are looking for before generation.

Express Language Modeling Snapkv: Llm knows what you are looking for before generation

Reference 21

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:7382ee447d409dc5568d0ee20ce9d00a0ffe405b7aa24b3864ff703d48e56f5d

Observation 5a72d0d9-382a-4f92-b19b-8638fca72104 · outbound

This paper cites Let’s verify step by step.

Express Language Modeling Let’s verify step by step

Reference 22

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:d7b78c0bbaf930d81da85946cb563e739f8457be542e00617c545aecf57b2e2a

Observation a69628d0-ba2c-4a93-8570-1aabf058825e · outbound

This paper cites Approximations and optimal geometric divide-and-conquer.Journal of Computer and System Sciences, 50(2):203–208, 1995.(Cited on page 6.).

Express Language Modeling Approximations and optimal geometric divide-and-conquer.Journal of Computer and System Sciences, 50(2):203–208, 1995.(Cited on page 6.)

Reference 23

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:b3e3259fbea60b0abd43a397542197dd4be4899608911cb80f356b56d79cf312

Observation 310897b2-e984-4d9b-a45b-04d74cf7f386 · outbound

This paper cites Keydiff: Key similarity-based kv cache eviction for long-context llm inference in resource-constrained environments.

Express Language Modeling Keydiff: Key similarity-based kv cache eviction for long-context llm inference in resource-constrained environments

Reference 24

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Observation b67fe146-a6c1-4008-b690-9c0d7c08849c · outbound

This paper cites Algorithms for ε-approximations of terrains.

Express Language Modeling Algorithms for ε-approximations of terrains

Reference 25

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Observation ecc4609b-70be-486e-93f2-a74c8c335331 · outbound

This paper cites WildCat: Near-Linear Attention in Theory and Practice.

Express Language Modeling WildCat: Near-Linear Attention in Theory and Practice

Reference 26

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local_arxiv, observed 2026-07-03T04:37:37.403754Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:50d4691fcf4c326e05e7eed41e9899c0f93a593c11a088a683c19ef965e0dca5

Observation 5d245598-5ce7-4df4-9c69-8cddaca3c15b · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision.Advances in Neural Information Processing Systems, 37:68658–68685, 2024.(Cited on page 10.).

Express Language Modeling Flashattention-3: Fast and accurate attention with asynchrony and low-precision.Advances in Neural Information Processing Systems, 37:68658–68685, 2024.(Cited on page 10.)

Reference 27

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:c88b74407e8871bc97805c110f7f6b13bc9debef288aab6007fc48c24928cfb2

Observation c468ca8b-542f-407f-987f-64da09d4c6c6 · outbound

This paper cites Distribution compression in near-linear time.

Express Language Modeling Distribution compression in near-linear time

Reference 28

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:2095767cbdcad4bb4bf05798ad8c7703aabe7f7c0e7dcdfea7d242ecb8019eb3

Observation 31eeb12f-9bc6-4f6c-84e0-ec692916347f · outbound

This paper cites Support vector machines.Wiley Interdisciplinary Reviews: Computational Statistics, 1, 2008.

Express Language Modeling Support vector machines.Wiley Interdisciplinary Reviews: Computational Statistics, 1, 2008

Reference 29

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Observation f0965485-5b58-421a-95a3-1a400cae231b · outbound

This paper cites Triton: an intermediate language and compiler for tiled neural network computations.

Express Language Modeling Triton: an intermediate language and compiler for tiled neural network computations

Reference 30

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:74c5c55d8ecc752fdd200cb840e59cf83a8a2200e8fe9a84561dca0f7a2e29c6

Observation 0f8afbde-3fa3-4b1d-bd16-9ef5d5b08578 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Express Language Modeling Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 31

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:08430b8769d44baab4c74d6bf249e7ce04a65dc69688ccfb0afaf7d2a0fa7c74

Observation 1f86c3d5-5720-4641-a365-35258a731410 · outbound

This paper cites Efficient streaming language models with attention sinks.

Express Language Modeling Efficient streaming language models with attention sinks

Reference 32

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:3caabfe314b7d11d09b701d27c2da756056f388cddc5b416a4056ca5b10bd365

Observation 9793eefd-d18b-42b5-ba10-84383a9e488b · outbound

This paper cites an unresolved cited work.

Express Language Modeling Unresolved cited work

Reference 33

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Observation 67b817ec-bcf9-4fcb-b795-f25daffc22d0 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

Express Language Modeling Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 34

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source=pdf_text observed=2026-06-27T13:45:03.532943Z digest=sha256:d4ee2436de25619e139ff2d1152ee51fd11e1846fbe4594b2408af387ebf2ecf

Observation 29fd6e0e-b371-42bd-9fa0-77e9dfe1d1b3 · outbound

This paper cites Kdeformer: Accelerating transformers via kernel density estimation.

Express Language Modeling Kdeformer: Accelerating transformers via kernel density estimation

Reference 35

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Pith citing papers

No inbound Pith citation observations are available.