Paper Citation Record · LEDGER

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM

As of 5 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2510.17934.

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

pith.paper-citation-record.v1
2510.17934 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:00:59.224521Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:56:14.911463Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:56:15.039894Z

Reference resolution

37 of 37 outbound references displayed

verified exact28
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9713ac9-854a-41dc-bc9b-1e54c9918028 · outbound

This paper cites AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.541930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 86138349-6070-480c-898a-b7d40163d2b0 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:02:25.690285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed789d4f-7aff-4be2-a339-a18e7605958d · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.537964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6462e01-0867-401c-9c05-34160fbe208b · outbound

This paper cites Memory decoder: A pretrained, plug-and-play memory for large language models.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Memory decoder: A pretrained, plug-and-play memory for large language models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.519445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b90d4b24-d9da-484b-8ae9-5a9bc1a4d76e · outbound

This paper cites GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.452742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04e8d916-8630-450c-bf4c-64573bec7b1f · outbound

This paper cites Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.533881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b81d1a2-e5a3-49e4-bdfb-7ab1880bbabf · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.424134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5800204-82c9-4007-a734-6ab082a88620 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.522424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a9afa4f-8b57-47d1-9bb4-cd39aafa4028 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Transformer Feed-Forward Layers Are Key-Value Memories

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.511911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a011770-d826-4086-b10d-42241a149639 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.481574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 72fb5701-8a73-436f-a13d-986f06b2f8c5 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.515500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3304ea6b-f350-4f55-893f-f004b52f4de6 · outbound

This paper cites Efficient Nearest Neighbor Language Models.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Efficient Nearest Neighbor Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.414619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f28795e8-9301-4ba2-a412-fe5ee58acfe8 · outbound

This paper cites Can llms be good graph judge for knowledge graph construction?arXiv preprint arXiv:2411.17388.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Can llms be good graph judge for knowledge graph construction?arXiv preprint arXiv:2411.17388

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.545942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 68d8803b-2e67-469c-a1be-2598f3499560 · outbound

This paper cites Retrieval-augmented generation with hierarchical knowledge.arXiv preprint arXiv:2503.10150.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Retrieval-augmented generation with hierarchical knowledge.arXiv preprint arXiv:2503.10150

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.434190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5d93aedf-2ad3-43bb-a828-456e8e53137c · outbound

This paper cites GPT-4o System Card.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM GPT-4o System Card

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.549688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5be7622d-52d3-4668-93ee-6563e1a0c240 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:02:25.460744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 961964b4-2e43-44ad-a432-487a63a32c31 · outbound

This paper cites RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.443013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57d5583e-04c7-43f0-9640-016d00c0159b · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Generalization through Memorization: Nearest Neighbor Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.488921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61a61e92-2cde-415d-ad6d-1c116b7030f4 · outbound

This paper cites Knowledge Graph-Enhanced Large Language Models via Path Selection.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Knowledge Graph-Enhanced Large Language Models via Path Selection

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.457088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e15ac725-9314-48a1-ba78-c768c3131290 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Lost in the Middle: How Language Models Use Long Contexts

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.447798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8cd3ceff-82c4-402c-8a07-ba647c4144c0 · outbound

This paper cites Decoupled Weight Decay Regularization.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Decoupled Weight Decay Regularization

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.553406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 58315c6b-ca62-46f0-bfdd-863c76697c34 · outbound

This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:02:25.464742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 86afc390-9f7f-4255-a05d-7f1ed0ed83ce · outbound

This paper cites doi:10.48550/arXiv.2502.09956 , abstract =.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM doi:10.48550/arXiv.2502.09956 , abstract =

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:02:25.499387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc0675c4-e9d7-4379-b785-ff618e85729d · outbound

This paper cites How much do language models memorize?.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM How much do language models memorize?

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:02:25.477801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5174dc9f-0930-4a67-9b65-f9167ffd558d · outbound

This paper cites Language Models as Knowledge Bases?.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Language Models as Knowledge Bases?

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.525546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31daa9c8-6207-4e9d-bd23-92c083a46965 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.472844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8201f37-0a0c-477b-8387-3b203eac4ccc · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.494509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 091d5baf-e1f0-4f52-972d-c8c222aee92d · outbound

This paper cites Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.529673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d08fa419-9463-4b97-a4c7-3fdbc95b3868 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.485209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 680717bb-1a84-4a18-a419-33629b371598 · outbound

This paper cites Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.504177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1a29975-0393-4725-9d02-ba72e4eafe03 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM LLaMA: Open and Efficient Foundation Language Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:02:25.429190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 878115dc-793f-4775-8db4-8afc850cab56 · outbound

This paper cites Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.508438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c4d449e-3a75-40cc-b41d-9fadd454bb8e · outbound

This paper cites MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.439060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 269da20b-b2ee-4992-ab7b-caa90ec2f91c · outbound

This paper cites Aser: A large-scale eventuality knowledge graph.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Aser: A large-scale eventuality knowledge graph

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:02:25.698215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 392a456d-e306-4571-8b13-62b9049b626b · outbound

This paper cites SiReRAG: Indexing Similar and Related Information for Multihop Reasoning.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM SiReRAG: Indexing Similar and Related Information for Multihop Reasoning

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:02:25.468900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c12aba8c-8479-40ea-9d4f-06f62e59159c · outbound

This paper cites In the generation relevance experiments, we need stronger sentence encoder to let the value embeddings in KGKV2 have enough semantics.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM In the generation relevance experiments, we need stronger sentence encoder to let the value embeddings in KGKV2 have enough semantics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:02:25.695784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4de18a33-c1fc-46b0-b36f-12a79eba3189 · outbound

This paper cites + RandomKV.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM + RandomKV

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:02:25.692950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation a4c7c2e7-d2a5-455d-8305-da93a12b2ea3 · inbound

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection cites this paper.

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T23:56:15.045707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.