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Paper Citation Record · LEDGER

Long Context RAG Performance of Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2411.03538.

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

pith.paper-citation-record.v1
2411.03538 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:28.354358Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:34:38.858375Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 1e37ec4f-a5bc-4c96-a4ef-f59a725d9e24 · inbound

Drowning in Documents: Consequences of Scaling Reranker Inference cites this paper.

Drowning in Documents: Consequences of Scaling Reranker Inference Long Context RAG Performance of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T18:13:42.264031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:13:42.264031Z digest=sha256:905a23e65f7fe9c864c44a727de78c9ba0ce362f3f88b1c8bc94076ef757fb09

Observation a0df6551-e4d4-47b9-aa0f-3a1216098b0f · inbound

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks cites this paper.

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks Long Context RAG Performance of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T11:21:18.433276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:21:18.433276Z digest=sha256:9dde227141ed423a187b0491ec0a8b0bbadec98fe19132d1a4f812bdf13b4f3b

Observation 46523fc3-71ba-4b09-bd53-ac66c9f8fe72 · inbound

Long Context vs. RAG for LLMs: An Evaluation and Revisits cites this paper.

Long Context vs. RAG for LLMs: An Evaluation and Revisits Long Context RAG Performance of Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T00:08:55.917716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:08:55.917716Z digest=sha256:09c9a774cac1c4db315c56fdc800aacb3d4541a320db70d10422ddfa3128c2d2

Observation 18b20b33-be9b-40f9-af8e-4fd8efdce5b0 · inbound

Existential Crisis: A Social Robot's Reason for Being cites this paper.

Existential Crisis: A Social Robot's Reason for Being Long Context RAG Performance of Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:55:11.862209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:55:11.862209Z digest=sha256:fe47be782ae2f295825373d2079faee51c97f378b9775cfd151961f4f7525b34

Observation 22be7390-216a-441e-8360-bae177af98af · inbound

Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs cites this paper.

Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs Long Context RAG Performance of Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:28.354358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:38:28.354358Z digest=sha256:c02bb7c3f5603ea38c2207285f9533fb97f55c17008ee837779ae36b7dd5c9c3

Observation a44bbd26-437a-4c6e-bc09-d795302c0ca9 · inbound

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG cites this paper.

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG Long Context RAG Performance of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T22:43:21.598463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:43:21.598463Z digest=sha256:6607ce1d9ae83476c54c375f3bbcfec3182fc152c932f68033674dbb87d309e6

Observation 75c3e590-e1ff-4ff1-b27b-33a31cf468a4 · inbound

Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration cites this paper.

Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration Long Context RAG Performance of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T22:03:55.842584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:03:55.842584Z digest=sha256:6e29154d03b9cc635cdf9c271cdd8f59ed4309cfeca69dbde4e1ddfa868fce06

Observation 535ab793-7785-4553-8e00-2a0a400abd69 · inbound

Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency cites this paper.

Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency Long Context RAG Performance of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:57:56.600990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:57:56.600990Z digest=sha256:a9637fedcacab62d8b572a42cb14f45ce53aedd8cc0309f4d6e79662888017e1

Observation fd5ee21f-c993-4e70-8c09-0c560372048b · inbound

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework cites this paper.

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework Long Context RAG Performance of Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:12.477922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:12.477922Z digest=sha256:07e028356a735a3eec0327ce9f2ebe8558a9ba2ec7ebce73d339f5401f176624

Observation 8d24e04b-5c05-4f81-8347-4c434e4ca36f · inbound

Agent Identity Evals: Measuring Agentic Identity cites this paper.

Agent Identity Evals: Measuring Agentic Identity Long Context RAG Performance of Large Language Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T14:57:06.923301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:06.923301Z digest=sha256:f44e5a03c56ca6ee1655dbe736becc073cd9b9523cbb28253f3aa0df7bf7f770

Observation 2ceedd2a-2e2e-4eaf-99a3-7e0fb54901c7 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs Long Context RAG Performance of Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T12:42:32.334383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:42:32.334383Z digest=sha256:14737073422be695a26b80c0800350c97bdd784b4db40f43234c681bfdc6b4d8

Observation fa81a8e2-2d32-4862-bfdc-04712d4ec644 · inbound

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure cites this paper.

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure Long Context RAG Performance of Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:00.602284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T14:59:05.826933Z digest=sha256:fbbb97b288932969bec979ab709164103df1f694fe21290bcedeeddc21b28ba8

Observation 121d55d7-b8a7-4e99-8db6-cee6d8bde2e2 · inbound

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure cites this paper.

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure Long Context RAG Performance of Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:26:41.317769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T06:26:27.908346Z digest=sha256:5ca3aaabc8f4432fdc873d9b22fea476a2453b2ff1947011c060ab14c0065158

Observation a3f82fb7-3b90-41bd-9718-984649734de1 · inbound

MuMuTestUp: Mutation-based Multi-Agent Test Case Update cites this paper.

MuMuTestUp: Mutation-based Multi-Agent Test Case Update Long Context RAG Performance of Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:08:05.314324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T05:03:20.704001Z digest=sha256:0ad73d0db5ca51e2aeb1209a4603234289186acf7432b32d8231a6fa25311b42

Observation 3bafd783-5e13-4487-9a76-4810533ee20b · inbound

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration cites this paper.

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration Long Context RAG Performance of Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:38.859890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T12:27:46.629948Z digest=sha256:46106cb06ddbc8ee668b647f5a2d1e67b0a8e139a9d01d32669dd7892e3f9c97

Observation a334f36e-3a8c-4f1b-ae75-439b1f71b487 · inbound

Replicating Belief, Not Bits: Epistemic State Replication for Agentic Systems cites this paper.

Replicating Belief, Not Bits: Epistemic State Replication for Agentic Systems Long Context RAG Performance of Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T16:32:10.501693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:32:10.501693Z digest=sha256:9905975c58ad740a823146cd1424e5da5a59fc5052511870fbb22d66cfbb9f4f

Observation 280d7c0e-8be9-40d6-ab6b-e1dd23b86994 · inbound

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support cites this paper.

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support Long Context RAG Performance of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T19:03:37.218389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:03:37.218389Z digest=sha256:1d00ed3adfa6abadfc214c25997b8fe7649ad857d7a64bc499f01dc18323b9f7