Paper Citation Record · LEDGER

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2311.09210.

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

pith.paper-citation-record.v1
2311.09210 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:46:28.218737Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7862539c-3c64-4963-9d17-43514328258e · inbound

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

Retrieval-Augmented Generation for Large Language Models: A Survey Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:57.027265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cea3690e-bce2-4240-8720-12ab68e4a93f · inbound

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory cites this paper.

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:06.422967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baab9701-1860-452a-94d5-d330c397f1eb · inbound

On Memory Construction and Retrieval for Personalized Conversational Agents cites this paper.

On Memory Construction and Retrieval for Personalized Conversational Agents Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T18:46:28.218737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646fa0f9-39d0-4038-b987-d44f7c00e6d8 · inbound

A-MEM: Agentic Memory for LLM Agents cites this paper.

A-MEM: Agentic Memory for LLM Agents Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:47:28.980262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a756bcfb-6bde-4cfc-9a7b-c9b80580038f · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 217

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:52:16.257648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe207e1e-b66f-417f-9ada-cbb87495f96f · inbound

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:06.202672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d074e98-2a0f-4866-896c-076688f21114 · inbound

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval cites this paper.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:12.676229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb398c2-91dc-413e-8e0f-35cf5630175f · inbound

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following cites this paper.

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-04T21:06:12.158351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970612f9-a625-4b5b-b666-7757c3c0efe5 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 279

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:56:11.411903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 537ade7d-9225-438b-b5ba-00f91ee77485 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 214

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:01:19.403886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f19ae5e7-3801-4e1f-a7aa-440c142d994a · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 223

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:19:16.472293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 471fbcae-ae95-451d-af5a-81f42254b44a · inbound

A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory cites this paper.

A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:21.299285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 349b2dc3-6445-409e-915c-85e6c6204b63 · inbound

A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory cites this paper.

A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T08:31:35.789076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bda9c32-a658-44e8-bc0e-e7bed600f9d1 · inbound

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models cites this paper.

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-07-12T01:37:34.939545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.