Paper Citation Record · LEDGER

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2505.18831.

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

pith.paper-citation-record.v1
2505.18831 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:50.052728Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:04.591495Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:20:04.993495Z

Reference resolution

39 of 39 outbound references displayed

verified exact3
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 275b4e78-d049-43e7-9e7d-499a0839ab6b · outbound

This paper cites an unresolved cited work.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:27:51.174336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 031634fd-eb23-4a55-9843-b3d924c0a3cd · outbound

This paper cites Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:51.097726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64778890-b6a6-4654-a09a-bf2c576f6b6b · outbound

This paper cites MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:51.072304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26421d0a-b553-4bbe-8545-ea9fa2490670 · outbound

This paper cites an unresolved cited work.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.775596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b14969c-8e5d-4b38-a3a8-68e785e093ae · outbound

This paper cites Deep reinforcement learning from human preferences.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Deep reinforcement learning from human preferences

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.783064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1385966-e092-4749-9504-d1e5f63e5406 · outbound

This paper cites Neural Spacetimes for DAG Representation Learning.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Neural Spacetimes for DAG Representation Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:27:50.935300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9ccada1-68ee-43c4-ba63-fc0410daa3ce · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.799189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e589d879-6482-434a-914b-44d8abc6423e · outbound

This paper cites MM-IFEngine: Towards Multimodal Instruction Following.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning MM-IFEngine: Towards Multimodal Instruction Following

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.807752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d80d2367-28ca-4496-964d-aa9e971b0b74 · outbound

This paper cites Specializing Smaller Language Models towards Multi-Step Reasoning.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Specializing Smaller Language Models towards Multi-Step Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.818904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdaeaf76-f5ee-4ca1-9485-b665ec98a63e · outbound

This paper cites Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.827346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392c4abf-df88-4a78-b058-ab2240a985fb · outbound

This paper cites an unresolved cited work.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:27:51.158399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91f6d3af-5d5b-4245-abe8-cda51feb0c9d · outbound

This paper cites Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.847670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea22e792-a2e9-4167-834f-3ea8266a9e64 · outbound

This paper cites LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:27:50.825725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de8244f9-100b-431b-b4c8-1a2cba1335e1 · outbound

This paper cites MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.863423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b27107d-9ac8-4be0-88f6-40b1ce23ec4e · outbound

This paper cites FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.856183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae46c352-c78f-49c3-8cff-7b10dd8c232d · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.881434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa6067af-3fdc-4d38-b2e0-94fb346c2aa7 · outbound

This paper cites an unresolved cited work.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.873650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e71aaf-666b-4a64-87f1-da82be82236f · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.901444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5d2bbe-8e6a-4cff-85f2-8db749303448 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning The Impact of Reasoning Step Length on Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.887553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750792ca-cc5a-478a-8f98-0e2f4d552475 · outbound

This paper cites an unresolved cited work.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.918527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0d412e-0076-4204-94fe-b559e03ca013 · outbound

This paper cites CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.909403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36cf3bfc-5601-4f4d-bc80-a95622c814d3 · outbound

This paper cites An Agent Framework for Real-Time Financial Information Searching with Large Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning An Agent Framework for Real-Time Financial Information Searching with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.935581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0bd0eeb-95f8-4056-8104-7f10d90f1f7a · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.926983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08b0495-f438-4f42-bebb-920bf9c62329 · outbound

This paper cites Guerreiro, Ricardo Rei, and André F.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Guerreiro, Ricardo Rei, and André F

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.950393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b135fb-f751-41b0-9faa-c6c38078de3a · outbound

This paper cites Scalable Diffusion Models with Transformers.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Scalable Diffusion Models with Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.942606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09c6818-50c4-4fb2-984c-f7c2a686d488 · outbound

This paper cites Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.963186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cea74e3-a911-4837-9650-50ffeb60436d · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning ChatDev: Communicative Agents for Software Development

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.956005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd306ae-02fe-48cf-aa94-51706cb421df · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Gemini: A Family of Highly Capable Multimodal Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.977250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6349f8a-556b-4ac1-9675-7700c1b0c9c4 · outbound

This paper cites Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem Solving.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem Solving

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.970944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75960073-c17a-4b22-a1eb-b9bd92624d67 · outbound

This paper cites AgentRM: Enhancing Agent Generalization with Reward Modeling.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning AgentRM: Enhancing Agent Generalization with Reward Modeling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.996079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c886b5-483f-4cf4-8968-c21974c3a241 · outbound

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

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning LLaMA: Open and Efficient Foundation Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.987872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3425af78-980c-4011-bb1d-316548ee1f9e · outbound

This paper cites Qwen2 Technical Report.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Qwen2 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.016325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e473578f-6892-4132-860e-fda9dfc47eca · outbound

This paper cites When Search Engine Services meet Large Language Models: Visions and Challenges.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning When Search Engine Services meet Large Language Models: Visions and Challenges

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.005082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a082e5b-f3c2-4673-82a7-e5dce44208d8 · outbound

This paper cites KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.030313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96fa39a9-a874-41d9-b13b-7de76a7f2b20 · outbound

This paper cites Rethinking Prompt-based Debiasing in Large Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Rethinking Prompt-based Debiasing in Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.023055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 295697fa-3ccd-42ca-879d-7ef5f9d16560 · outbound

This paper cites Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.045237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5701c9-e022-4f44-91c4-62ebc5f5da33 · outbound

This paper cites FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.037756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a305ed3-4c3d-454d-af58-5eb73bb3d940 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:50.052728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46bd610-488d-4298-9323-952222564da3 · outbound

This paper cites Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:51.120580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation bf6c5fa1-85b2-49ab-a248-e5411c7e1338 · inbound

Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models cites this paper.

Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:20:04.997818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.