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Paper Citation Record · LEDGER

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV

As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.23693.

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

pith.paper-citation-record.v1
2607.23693 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T15:53:12.357405Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ebf2c77-7bd8-4492-b1b9-ecfba10a3f3e · outbound

This paper cites APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:53:12.027551Z digest=sha256:88395b5c9f87da5372611c8cca80979845529fd72c80c6f41021bed2cd26a011

Observation 9853a79a-7ccc-4760-b6a6-85c1397f0095 · outbound

This paper cites Human-inspired episodic memory for infinite con- text LLMs.arXiv preprint arXiv:2407.09450,.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Human-inspired episodic memory for infinite con- text LLMs.arXiv preprint arXiv:2407.09450,

Reference 3

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source=pdf_text observed=2026-07-30T15:53:12.050756Z digest=sha256:7cd5a67956f22b384535335464b74ad8ad3ed7e5b5ccafadcc4721d3eeade23f

Observation 7c88392f-4581-4559-8f2b-2b46cdf7ddc1 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T15:53:12.066615Z digest=sha256:053f67e0cd520ab5dcdf72e1e5f085c1395cba45ddd421ec61b1de7ed10ee022

Observation 334edc70-9177-4c44-a5f5-ab7899638126 · outbound

This paper cites EPIC: Efficient Position-Independent Caching for Serving Large Language Models.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV EPIC: Efficient Position-Independent Caching for Serving Large Language Models

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T15:53:12.075501Z digest=sha256:cb51cdec9944e19b5b529e3b863e575c741472731a967c58c9483d58a6bc2043

Observation 5eab0272-7ab5-4864-9f4d-2f0d4102f0c7 · outbound

This paper cites EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments

Reference 7

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source=pdf_text observed=2026-07-30T15:53:12.085624Z digest=sha256:b9052b3b1bd3c47f24cc90a31e6e9354db7ae7191700adc029ce2ce100c73fa3

Observation d4bf9b81-a5b1-45df-abea-eddda9e4307b · outbound

This paper cites Model Year Bank W Probe Edge (root) X9 latent X9 expl.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Model Year Bank W Probe Edge (root) X9 latent X9 expl

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T15:53:12.333787Z digest=sha256:7cb149d824bc7b5d8bee65f95cbeb762a70e6d2d3a70471c36e44642dbfa2929

Observation 622b07be-796e-44e2-8c40-75a36003a1ff · outbound

This paper cites KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T15:53:12.112264Z digest=sha256:8d116febd7e672a4d3944a7b33d53c85a57fd1e1ac7530c8f23a3ab0a4255076

Observation d1c5415c-f500-48a4-86eb-18e4b53df855 · outbound

This paper cites REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation

Reference 10

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source=pdf_text observed=2026-07-30T15:53:12.122244Z digest=sha256:a2163ee9e24cb26c4a568fa0822334d5547bc467e433734db75a72e3b0d2ed8f

Observation 43a70115-771c-4ef0-9488-9879bab6a1e8 · outbound

This paper cites Models Take Notes at Prefill: KV Cache Can Be Editable and Composable.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Models Take Notes at Prefill: KV Cache Can Be Editable and Composable

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T15:53:12.132904Z digest=sha256:f13231c2d4345c5fc8c75a650975c94f715b2afbbcca7b6fd78bb8937bda55eb

Observation 788e81b6-02b8-4675-883f-445e6e718578 · outbound

This paper cites KVEraser: Learning to Steer KV Cache for Efficient Localized Context Erasing.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV KVEraser: Learning to Steer KV Cache for Efficient Localized Context Erasing

Reference 12

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source=pdf_text observed=2026-07-30T15:53:12.144403Z digest=sha256:caf507f16631fcd7fa3196e13dcc527583ebb96abe15ae992898418bf931906e

Observation 0ec14b6d-4677-4294-8665-5341e2ff5598 · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV SnapKV: LLM Knows What You are Looking for Before Generation

Reference 13

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source=pdf_text observed=2026-07-30T15:53:12.153017Z digest=sha256:fbfba23c0c259a0874345669c91c4b270a80b6dc09e12512110bf8507f949aae

Observation be6d7084-a2ba-49c8-8c87-0c28bc8e66c2 · outbound

This paper cites HYPIC: Accelerating Hybrid-Attention LLM Serving with Position-Independent Caching.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV HYPIC: Accelerating Hybrid-Attention LLM Serving with Position-Independent Caching

Reference 14

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source=pdf_text observed=2026-07-30T15:53:12.161808Z digest=sha256:1e817603b047b4ea204163bc39e441d10987562f7f9af88b5528e091e03efc61

Observation 1e2570cc-bf6d-4f35-aec4-26f374aa7b7c · outbound

This paper cites The Llama 3 Herd of Models.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV The Llama 3 Herd of Models

Reference 15

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T15:53:12.168398Z digest=sha256:c1b8081380f9d6b6548ab41a250e0d52260def745a2067eebfb7d211a3a81d99

Observation c7696d45-1f97-4f59-a90e-46e1dbe80406 · outbound

This paper cites Leyline: KV Cache Directives for Agentic Inference.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Leyline: KV Cache Directives for Agentic Inference

Reference 16

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no resolver link, observed 2026-07-30T15:53:12.178258Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:53:12.178258Z digest=sha256:98b3ff1b787adc67759d74f714ab5b4c59e3483a4a12daf89c4e62f4551e1ea6

Observation 4ef81189-3353-4812-977a-d5d41f734ad6 · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 17

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source=pdf_text observed=2026-07-30T15:53:12.185028Z digest=sha256:89cf42c8506b69f17d507371c8cbb7bce29c6b68f4706d19239c8edcecc06835

Observation 61abb318-0d84-427f-8099-34c5e4033fd9 · outbound

This paper cites Mistral 7B.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Mistral 7B

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:53:12.194276Z digest=sha256:22053d27e7c510e826e0e0ca3e19712f53273a767872a94def566b3b4e1ac5e5

Observation 3dfe23fa-a7ac-457e-a658-867909797e47 · outbound

This paper cites Qwen2.5 Technical Report.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Qwen2.5 Technical Report

Reference 20

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source=pdf_text observed=2026-07-30T15:53:12.219586Z digest=sha256:912b553a7b2632822c2be575c9e746cb5c971d801ff9934569b30063a6fc3f87

Observation 6702d28a-6e15-4606-b529-39e5d9f5162f · outbound

This paper cites Qwen3 Technical Report.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Qwen3 Technical Report

Reference 21

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source=pdf_text observed=2026-07-30T15:53:12.227761Z digest=sha256:b67abbd5f9f88eaee2ee9135e0fa990b8f875eb7269c6e7939afbb0ed987311a

Observation f0e39b62-4c0d-4c86-b72f-18b6e24f9b79 · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 22

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source=pdf_text observed=2026-07-30T15:53:12.237067Z digest=sha256:28d0c8def6d414458620dd96b0794cbd6c54efca69c6c4e5bebd29dd6e43c9e4

Observation 8ea73632-a277-4726-9ea4-8390a640c14d · outbound

This paper cites [AAFLOW+] Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent Workflows.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV [AAFLOW+] Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent Workflows

Reference 23

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source=pdf_text observed=2026-07-30T15:53:12.246692Z digest=sha256:6f481e1948897b9b57126d3f20eb4d4b8feb815f13491ffa03a919777d93c1ae

Observation ebdfacef-f8dd-4a2d-b812-55bebbdd5f26 · outbound

This paper cites InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context

Reference 24

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source=pdf_text observed=2026-07-30T15:53:12.256473Z digest=sha256:934aa2b68468e3441ce74f7b7ae606b4855c018a0f0dad65293065d67deeef5a

Observation c9d39b49-a797-43fa-a048-af85c4442210 · outbound

This paper cites KVLink: Accelerating large language models via efficient KV cache reuse.arXiv preprint arXiv:2502.16002,.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV KVLink: Accelerating large language models via efficient KV cache reuse.arXiv preprint arXiv:2502.16002,

Reference 25

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source=pdf_text observed=2026-07-30T15:53:12.275131Z digest=sha256:8c855366e836e33b426f2fd042b072c17af149b284884bab1610522710deddeb

Observation ddd2b512-a69b-460c-923f-9958f6936227 · outbound

This paper cites KEEP: A KV-cache-centric memory management system for efficient embodied planning.arXiv preprint arXiv:2602.23592,.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV KEEP: A KV-cache-centric memory management system for efficient embodied planning.arXiv preprint arXiv:2602.23592,

Reference 26

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source=pdf_text observed=2026-07-30T15:53:12.284034Z digest=sha256:59591a78cca2259b2323239f358d36ce4d9cfbce97a3b929f42db26d39c74ae2

Observation 4f542d18-eb36-41f7-8a85-c2661c972291 · outbound

This paper cites CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion

Reference 27

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source=pdf_text observed=2026-07-30T15:53:12.291992Z digest=sha256:5e51c1d09618262d35ba760e6e3b007e93534f9ba76856e91492670f394160aa

Observation 55408385-768d-40a8-beac-d6fba92b60d5 · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 28

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source=pdf_text observed=2026-07-30T15:53:12.297457Z digest=sha256:4f09b50c6b03aa835242a6aa9dcd3fd786492f666cd38c853a9fa0a84febd76a

Observation f080a912-007d-430a-9c3b-8a2d8a31ef04 · outbound

This paper cites what is recorded in registerT.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV what is recorded in registerT

Reference 29

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source=pdf_text observed=2026-07-30T15:53:12.309446Z digest=sha256:9a7005394cadbca3937828a82285f55096a1fc5791650fbbf183e2068a5aecac

Observation 183eb69d-42bd-42eb-8cff-27593d1bd3fb · outbound

This paper cites ifNORTHorSOUTHanswerRED, elseBLUE.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV ifNORTHorSOUTHanswerRED, elseBLUE

Reference 30

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source=pdf_text observed=2026-07-30T15:53:12.314779Z digest=sha256:76c551ddf59d27b543b250786623468cdaa2cce402cd2ef30e37a903c0affc10

Observation 20e3f0b8-14e5-4045-a641-3266e9f5fa6c · outbound

This paper cites To answer this question, we need to analyze the trajectory.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV To answer this question, we need to analyze the trajectory

Reference 31

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source=pdf_text observed=2026-07-30T15:53:12.319928Z digest=sha256:8dc8d0bb0ea6369f13c7c70d3d68f2af3f228fe08a94becd6ca8c1ef5377598c

Observation 376e005e-af7a-4c23-8da7-48a8236e148e · outbound

This paper cites an unresolved cited work.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Unresolved cited work

Reference 32

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source=pdf_text observed=2026-07-30T15:53:12.329034Z digest=sha256:0076cb7b5905fbf5b156892e92ebc3fc2d3d9be2329175ddd93d10514ed46857

Observation dd10ff4b-9447-410d-9c6a-98a2d191a0f3 · outbound

This paper cites directive>passive on both models.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV directive>passive on both models

Reference 34

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source=pdf_text observed=2026-07-30T15:53:12.342177Z digest=sha256:41cbdcd4cb17d4969b7691b723dd80996b81cc64e8b07c3ccf76be63e14c4570

Observation f3ce54f0-c9cd-4d43-82f5-84a3e0797e18 · outbound

This paper cites the value at stept?.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV the value at stept?

Reference 35

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source=pdf_text observed=2026-07-30T15:53:12.350371Z digest=sha256:d6bb0e007ca8d87bc712e038c95e97322a171cde2898fb47a6ba81210d586e30

Observation dba3d791-44f3-4abf-9d2e-5b4c12357066 · outbound

This paper cites an unresolved cited work.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Unresolved cited work

Reference 36

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source=pdf_text observed=2026-07-30T15:53:12.357405Z digest=sha256:11da5d03794a4feeb4dbde70d1183b6adb9e496c2999eea931968a9d90b85c66

Observation a72bd3c3-e7e0-4d26-9d6b-f3c785a2220e · outbound

This paper cites Language models use lookbacks to track beliefs.arXiv preprint arXiv:2505.14685,.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Language models use lookbacks to track beliefs.arXiv preprint arXiv:2505.14685,

Reference 2023

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source=pdf_text observed=2026-07-30T15:53:12.204669Z digest=sha256:0d6329bbe235735cb6364ef63d2a75d0e488a1d1e69b15ad449f545e058de538

Observation 8ad213f9-6945-4c5e-ba94-fe2c31d52ffe · outbound

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

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV Gemma 2: Improving Open Language Models at a Practical Size

Reference 2024

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source=pdf_text observed=2026-07-30T15:53:12.060855Z digest=sha256:c2f09216f06aa1383b2ed892539f91cb4a10598487e80edde899107096c64a4c

Observation a88dc15d-dbe0-49d7-b846-73b8c883102d · outbound

This paper cites MEMENTO: Teaching LLMs to Manage Their Own Context.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV MEMENTO: Teaching LLMs to Manage Their Own Context

Reference 2025

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source=pdf_text observed=2026-07-30T15:53:12.092138Z digest=sha256:f8e8eb5bc39a180baaec9e4dfb8445cbd6e94897ba634a06d136edd0e0ee6add

Observation 8e7b26ab-9a66-4b1c-b6e0-f24d70ea8d9e · outbound

This paper cites C$^2$KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference.

Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV C$^2$KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference

Reference 2026

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.