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Paper Citation Record · LEDGER

Landmark Attention: Random-Access Infinite Context Length for Transformers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2305.16300.

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

pith.paper-citation-record.v1
2305.16300 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:57.001320Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.202075Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bbb80475-726e-42d4-a704-82ef99977ce0 · inbound

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

Extending Context Window of Large Language Models via Positional Interpolation Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 12

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verified exact
arxiv_id, observed 2026-05-13T10:20:57.956622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T10:20:57.869359Z digest=sha256:fd18111cb84a104725f83e17fa9b0a746843cbbe8f4aa08251798b4e2bd1d0b8

Observation 15dd461c-e4b0-4723-9572-39a8508af155 · inbound

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

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 104

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verified exact
arxiv_id, observed 2026-05-12T20:22:10.643237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T20:22:10.482509Z digest=sha256:8a4dc9f45d14891b93bee7f2aa97cfc7eb9c624613709a0e0df586a5dfec63fa

Observation 30297a84-9744-4f79-9c8d-d34e0905bd5a · inbound

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

YaRN: Efficient Context Window Extension of Large Language Models Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 10

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arxiv_id, observed 2026-05-12T06:46:51.334111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T06:46:50.042423Z digest=sha256:5ef9d559d8a0478e66fc99e6c4f4295ca397621fbc57b8b6e8dc9a73f2c0a3de

Observation b8256eb0-a8bb-4d21-8dc1-6d1209175cca · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 234

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verified exact
arxiv_id, observed 2026-05-11T10:47:49.450868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:6e1a84d2a9dcf06b14c046135383b43c886079bc141195ea962d2e2bd6699775

Observation 67e0ee0c-4165-47d1-ab67-f7f3cc89b151 · inbound

Mixtral of Experts cites this paper.

Mixtral of Experts Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 23

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verified exact
arxiv_id, observed 2026-05-24T04:13:53.818560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T04:09:15.921778Z digest=sha256:c1c69bdd4183c855e37df482b9c3df74c2b676c66a8133e8a1af05573d3e4e97

Observation 363e1203-d7af-4661-956c-2b8befc659e1 · inbound

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache cites this paper.

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 12

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arxiv_id, observed 2026-05-12T08:53:12.346720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T08:53:12.253243Z digest=sha256:7f5b0656694d1aa8180bc5385e6697c2a59cb285d367d6a871601d6c8bf1b541

Observation c078aada-cf39-4f4d-8826-014b670b8de4 · inbound

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens cites this paper.

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 9

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arxiv_id, observed 2026-05-15T08:31:04.831285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T08:31:04.774135Z digest=sha256:d3eef5368b01b729a07e6009d3c3396b9677fb089aef3302e4a6b7bfa8e986c1

Observation 344f8ad2-c376-4410-93cf-99cace6355a9 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 83

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arxiv_id, observed 2026-05-23T04:17:31.223364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T04:15:36.906263Z digest=sha256:c2cc176c6b937b294b2953e6618a0cc9bbcc2936de2fd2535b26719a3e9fac54

Observation 0966cd51-8c67-473b-8268-246059eecd98 · inbound

SELF: Self-Extend the Context Length With Logistic Growth Function cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 23

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no resolver link, observed 2026-08-07T14:52:13.869804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:13.869804Z digest=sha256:39d502a5d28b52ded5456fcb07e72d0f06a987ad347070ed16327a5398f07ea3

Observation b2c28d0b-4515-4333-9a51-bcab6c8b7e11 · inbound

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning cites this paper.

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 48

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no resolver link, observed 2026-08-07T14:52:57.001320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:57.001320Z digest=sha256:ab9744668b1082f99e688623c7c5e8d0c40cfc841d7403864f5e3d7555d495c2

Observation 4476c01e-0511-439f-a552-e9eca5dcd166 · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 28

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no resolver link, observed 2026-08-07T14:20:25.577961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:20:25.577961Z digest=sha256:eaa9586d33731928411580cf3d786ae29abc22eea8391c2e9c18367c5a0b936a

Observation 844da00b-9e6d-42e3-b7b0-16ff33187d6c · inbound

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks cites this paper.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 9

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no resolver link, observed 2026-08-07T14:17:24.269674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.269674Z digest=sha256:04a0daf2ab6040ef95818720c51cf76ccb8a3ef0e5c9c97b5f9066cbff6b4340

Observation 2e501e07-2701-4d9a-b01d-8b65e82adb6a · inbound

Curse of High Dimensionality Issue in Transformer for Long-context Modeling cites this paper.

Curse of High Dimensionality Issue in Transformer for Long-context Modeling Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 40

Resolution
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no resolver link, observed 2026-08-07T13:23:14.831997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:23:14.831997Z digest=sha256:b56a1cebb628a8b75e9f329fa92996d0134313201d3d57b42d2e61590b983c9d

Observation 39fa339d-7ede-4a42-b65c-7e418bfa47a4 · inbound

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression cites this paper.

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:00:27.094738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T17:59:23.826110Z digest=sha256:b51faee61cd15646983d06540b6f4be95271b9684b45cf86aa3822be3c89de54

Observation 931179ac-2e14-4a11-9231-e8f9793098ee · inbound

SAGE-32B: Agentic Reasoning via Iterative Distillation cites this paper.

SAGE-32B: Agentic Reasoning via Iterative Distillation Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 6

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arxiv_id, observed 2026-05-16T17:31:08.368668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T17:30:09.824982Z digest=sha256:8c593a5e5e8b8969300cfde2407526aed554eee53a54aa72e168c6c5afc77a5e

Observation 72ff63dd-f1c6-4c5b-996d-3f209488f4c3 · inbound

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs cites this paper.

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 8

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verified exact
arxiv_id, observed 2026-05-11T09:51:01.248612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:46:43.682254Z digest=sha256:768ee3b39dab94fed6e6bd5f97b37aac47e5dff2a8f304477845a09d1ee94bde

Observation 02378b22-0c01-4003-a073-7a8f64bdae6f · inbound

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference cites this paper.

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 29

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verified exact
arxiv_id, observed 2026-05-10T14:45:49.310098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:37:28.107313Z digest=sha256:60151f4e6e1f40c228915079b06c899b170ea83e04ab0c3551832bd9570d6a05

Observation 4730f818-6bd8-41e9-a312-e47e1060fbd2 · inbound

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference cites this paper.

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 29

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no resolver link, observed 2026-07-12T21:07:20.347554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:07:20.347554Z digest=sha256:89a3b41534f74c2833f5871fbea11d8b048aac4894c98d512751465ff436d25a

Observation 6821be42-d922-4af0-acef-d835ccdd9ede · inbound

Episodic-Semantic Memory Architecture for Long-Horizon Scientific Agents cites this paper.

Episodic-Semantic Memory Architecture for Long-Horizon Scientific Agents Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 21

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arxiv_id, observed 2026-05-20T12:33:17.111119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T12:28:56.491117Z digest=sha256:82be36d3faaf7940c55bbe5a580da6c063be53eb1605f8302cca324ae48ea476

Observation b602e78d-e8f5-434d-aa23-e7433373862a · inbound

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior cites this paper.

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 13

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verified exact
arxiv_id, observed 2026-06-29T19:43:54.977792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T19:36:13.559393Z digest=sha256:8a5a12d1b2ab38020e62573e86e7c42030f298cf2ffa2310643d6739c4b105b2

Observation bc3d45a4-a344-4241-b3b0-c45157bc4111 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 191

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arxiv_id, observed 2026-07-04T06:39:37.652092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T14:19:53.450263Z digest=sha256:679b33f389409df678ee7a97827fc1289e2bb9ba19ae3b5891d1cd6d1d46f673

Observation f66a6bf8-3ab4-4448-95ad-9f2396ba5a13 · inbound

A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets cites this paper.

A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 15

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arxiv_id, observed 2026-07-03T13:48:20.324211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T13:46:18.862925Z digest=sha256:76eafe56d5e59f060564bbb002baae59cc7f8cf856bc0c7d8e37965ea812de9c

Observation 31dfef44-92e1-4fd9-b9f5-92dd9c6fd3ea · inbound

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving cites this paper.

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 86

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no resolver link, observed 2026-07-12T09:50:23.266920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:50:23.266920Z digest=sha256:4272ceb5d8c629df0234a5fea8a6a295f21197adb5cc26e1f744ebe04f17a267

Observation 344eb352-2812-46b3-8567-ab66ab9068ed · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 83

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local_arxiv, observed 2026-07-10T01:36:44.203228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:f0d4e1483bca385065a33a03f49355ee2fd1a9357d76e46041e1adc5b3ea3636

Observation 5a4ae200-fd8e-4181-9eec-17bf7c02eb47 · inbound

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention cites this paper.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 20

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no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:50:03.831572Z digest=sha256:34becf3143c9cf9a32722c837dd580a1db715fa311adb098ed3a65a572acc855

Observation ad771110-a6ec-48d0-9881-41c3c41cf7d3 · inbound

Anti-Periodic Positional Encoding: M\"obius Boundary Conditions Make In-Context Retrieval Reliable cites this paper.

Anti-Periodic Positional Encoding: M\"obius Boundary Conditions Make In-Context Retrieval Reliable Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T07:35:41.439334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:35:41.439334Z digest=sha256:d071197b6236a7706ef23c7794d8973c48482300423bd7255283907795a4fc82

Observation 46f7380e-cb26-4594-8697-62cd46e165ea · inbound

LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding cites this paper.

LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 42

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no resolver link, observed 2026-07-31T11:49:11.713173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:49:11.713173Z digest=sha256:d42a9ccf1f2f2ec58e0d90b43b55b012d62e2daf573e4ea403f02afed28351b6

Observation a91589a0-0cb5-496e-a9a5-dab08c43a27a · inbound

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

Raven: High-Recall Sequence Modeling with Sparse Memory Routing Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 21

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no resolver link, observed 2026-08-01T02:44:01.559402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:44:01.559402Z digest=sha256:ac0bb0c4a914fb2c04c80ccf725d53b6bcb4dce7d9863259ffb7abd6581ff7c2

Observation d26e740b-b28b-4095-be6d-f5b487faa1c7 · inbound

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory cites this paper.

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 12

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no resolver link, observed 2026-07-31T12:56:45.516458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T12:56:45.516458Z digest=sha256:be6d23882db60538da58adb0ac37db6915460469fd7e931368429f38dad1e1ad