Pith. sign in

Paper Citation Record · LEDGER

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 4 inbound Pith citation observations for arXiv:2504.19436.

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

pith.paper-citation-record.v1
2504.19436 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:22.367603Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:04:24.634788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:42:59.834306Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90121eb4-df7e-48b6-a5c1-bdd6e97bd98a · outbound

This paper cites DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.267044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.267044Z digest=sha256:75c1d064fa979ac8b2a8899cd7f0cd21948994d781fa7fe6b4691f200859dad4

Observation b87e675d-0c7a-4bf3-b997-ef4ef5cccd94 · outbound

This paper cites DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.272411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.272411Z digest=sha256:49c187e28794f4f314435714fd3b96716b5aefc374ca653fcd6b7d29e3537ec4

Observation a554963d-be8e-483e-832a-3d1185b2a73a · outbound

This paper cites Retrieval Augmented Generation for Dynamic Graph Modeling.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Retrieval Augmented Generation for Dynamic Graph Modeling

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:56:22.624960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:56:22.276817Z digest=sha256:04ceb5b33a5298b41ea9f76b00d751b6b558474b3a7dad3368b1b8428e71abc9

Observation c354fb75-d153-45ba-9df5-a74c6f6a9e68 · outbound

This paper cites Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.282467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.282467Z digest=sha256:69a4b248c5d3cd3ce4b5a1c21d143e84c1025c5e4aed500b74b2bbc7c1af9504

Observation 0e73dbd4-62aa-4557-9e41-63d2dae8660d · outbound

This paper cites A Self-Supervised Vision Transformer Approach for Dermatological Image Analysis,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models A Self-Supervised Vision Transformer Approach for Dermatological Image Analysis,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.287290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.287290Z digest=sha256:9c0fcac93a69422f07462eb959ab20d472baa14c62e2053f25d111f477967dd4

Observation a0e4f11e-a2c7-46c9-a1a3-835cde14ebc9 · outbound

This paper cites A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.291735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.291735Z digest=sha256:e90717cea6f07e1e91cc194224e1fbceb65df495587a2ee768d4cb266a673807

Observation 99033501-bea0-4788-af1a-7a64a8ec5eca · outbound

This paper cites Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.297178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.297178Z digest=sha256:dc42e0386ecedb0d203b15194d7bb2bdab970c0e7a4cf223535b862d076db8e5

Observation e3c7bbaf-0ddf-4f7f-8f3b-a1584c88fb60 · outbound

This paper cites A Self-training Framework for Automated Medical Report Generation,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models A Self-training Framework for Automated Medical Report Generation,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.301992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.301992Z digest=sha256:f849569221eda2dad2e05fd75aff4e304b9608069738c2035043bfd6dd1f76cf

Observation 47334a36-92bb-48f8-806a-1d74c8b9e929 · outbound

This paper cites Deep Learning for Cross-Domain Recommendation with Spatial-Channel Attention,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Deep Learning for Cross-Domain Recommendation with Spatial-Channel Attention,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.306395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.306395Z digest=sha256:6a7a419a0d2c2dcd4f05a9578f39de12a03a9dbfaa35ff63d07e5762c520e4f9

Observation 0d1ca8fc-d430-4e21-97e8-4c7b1717c5db · outbound

This paper cites Calibration Learning for Few-shot Novel Product Description,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Calibration Learning for Few-shot Novel Product Description,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.311026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.311026Z digest=sha256:d6fad22cf1f1a37747fa5cdae5697ab6fe68337632b2b52d2bac9f1fc48d5d2a

Observation d4eae40e-7dc5-40e8-88f6-105289aff7c1 · outbound

This paper cites DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:56:22.594645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:56:22.315242Z digest=sha256:9ce89eeeec5403179b7b70267b516e349543ad888b027e46b91b821128a2cb86

Observation 485b6e25-7c12-4b0b-9b58-1a0c67d1e26d · outbound

This paper cites The Synergistic Role of Deep Learning and Neural Architecture Search in Advancing Artificial Intelligence.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models The Synergistic Role of Deep Learning and Neural Architecture Search in Advancing Artificial Intelligence

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.320215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.320215Z digest=sha256:66152c388adafa004916f649d7cbb10f887efed4b0883b2395e564725d8111bb

Observation 875d6c4e-baa3-4c47-833f-77be914632cf · outbound

This paper cites Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.323831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.323831Z digest=sha256:fa8c22e02f62f2775846e8d2da32556063f03f3bb582b4f0b54bd7f607afe50d

Observation d676a112-8778-4461-ac0d-4e2933450e40 · outbound

This paper cites Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.327954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.327954Z digest=sha256:120488192917fe3a1697ac9138331972050a7bcfe40c84c08a42257d72d7ccda

Observation 16ec8ec9-faa3-4e4e-b9fd-9b2c02c12930 · outbound

This paper cites Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.332453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.332453Z digest=sha256:830190de2f6a75f1246b7be36ae84bf56a3ebe526ffbadf99636f94043b44b8f

Observation 416c596e-1286-4dd0-a84b-0f0249303e1e · outbound

This paper cites A Graph Attention-Based Recommendation Framework for Sparse User-Item Interactions,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models A Graph Attention-Based Recommendation Framework for Sparse User-Item Interactions,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.336199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.336199Z digest=sha256:55a6187eca55ec2e9e731a98348d10932ec3e52791d67bd1adb32cf9962bfce2

Observation e0546b8a-9b4f-4908-9cff-6bc4a630d7d9 · outbound

This paper cites Investigating Hierarchical Term Relationships in Large Language Models,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Investigating Hierarchical Term Relationships in Large Language Models,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.340668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.340668Z digest=sha256:a3c5c8ebd4032dce58560c2434450a15c75170afb660e47d21451d8216a211d7

Observation 560a57df-0694-4d23-baa8-75b9dce30fa3 · outbound

This paper cites Improving Harmful Text Detection with Joint Retrieval and External Knowledge.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Improving Harmful Text Detection with Joint Retrieval and External Knowledge

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.344571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.344571Z digest=sha256:9bc7968745d04660ca19f318d1174b9233aee83d2f52e7108a8d332f3a9c6274

Observation 817bf2ea-3b8f-469a-bc22-d2e60fceda86 · outbound

This paper cites Efficient Compression of Large Language Models with Distillation and Fine-Tuning,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Efficient Compression of Large Language Models with Distillation and Fine-Tuning,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.348552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.348552Z digest=sha256:788c4813447cd3eb44e1b6f6f635872b8fe691497fbd00dc2dd7fa048379b217

Observation 81dc541a-f031-4b1d-877b-39a4d65f3f3f · outbound

This paper cites Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.353782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.353782Z digest=sha256:9992bf7cc9a1e9bd2f3a76de9df86336bda9edb6a7f5fd0164618d98c29e9e71

Observation fa3bb364-c144-492b-856f-9530b5ede41b · outbound

This paper cites Comparison of ChatGPT–3.5, ChatGPT-4, and orthopaedic resident performance on orthopaedic assessment examinations,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Comparison of ChatGPT–3.5, ChatGPT-4, and orthopaedic resident performance on orthopaedic assessment examinations,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:56:22.677522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:56:22.358271Z digest=sha256:45a4f3778fc97691788ca8cb7ecf0cb7de60bf20d5140a0335c4037028988668

Observation 0a4b8ff0-3952-462f-ae6c-e0ad0cda020c · outbound

This paper cites Qwen-IG: A Qwen-based Instruction Generation Model for LLM Fine-tuning,.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Qwen-IG: A Qwen-based Instruction Generation Model for LLM Fine-tuning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:56:22.663163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:56:22.362976Z digest=sha256:1a05abfd3f51f687986cb0304fc4fc419072950321efc8b4b8fd47ec30f93feb

Observation f70ac401-beb3-499f-bffa-af5fe3be8d38 · outbound

This paper cites DeepSeek-V3 Technical Report.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models DeepSeek-V3 Technical Report

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:56:22.367603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:56:22.367603Z digest=sha256:71e09f88b4c238481adf664dd6ec3b5cc0aea4d0a45b4033e457773751ab2ee3

Pith citing papers

Observation f9617b36-996b-48ca-899f-557fd2ea7f70 · inbound

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks cites this paper.

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:04:24.634788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:24.634788Z digest=sha256:703cc0cee006e8f86a870411c91c8f7eb80ad2869b7720a9a28f0a389a8a3969

Observation d6da57e1-1dbf-4bc2-98ea-26cbd255fc34 · inbound

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures cites this paper.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:14.673614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:14.673614Z digest=sha256:29d838e5821f2ad0edf68842f10423c1b17c33ca3e238e78234a9ab3fef6c629

Observation ee454499-9ac6-48f6-959d-8ba253d3acc6 · inbound

Structured Memory Mechanisms for Stable Context Representation in Large Language Models cites this paper.

Structured Memory Mechanisms for Stable Context Representation in Large Language Models Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:45.973261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:45.973261Z digest=sha256:b45498deead240dbbaceb90fd09fe1a44e27802d152c1f3881b270151a259310

Observation 82e9ed15-bd0f-4514-932f-99007d8dd93f · inbound

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment cites this paper.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:42:59.838249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T15:42:59.779466Z digest=sha256:ac65554b342212c7816ebb5f8f1ded2adec8fcffaa36efe5ff19355608a92a67