Paper Citation Record · LEDGER

Research on feature fusion and multimodal patent text based on graph attention network

As of 10 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 7 inbound Pith citation observations for arXiv:2505.20188.

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

pith.paper-citation-record.v1
2505.20188 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:12.869715Z

measured 15 of 15 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:13:31.020036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.970625Z

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy8
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cfb2c66-d84b-4550-af0c-f97ed40a7991 · outbound

This paper cites A Preliminary Study on Patent Quality Predi ction Based on Machine Learning Model[J].

Research on feature fusion and multimodal patent text based on graph attention network A Preliminary Study on Patent Quality Predi ction Based on Machine Learning Model[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:14.471478Z

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 bad26059-6cf1-43b5-a366-52d871dfa46d · outbound

This paper cites Research on Patent Quality Analysis and Classification Prediction Based on Machine Learning: A Case Study of Blockc hain Technology Patents[J].

Research on feature fusion and multimodal patent text based on graph attention network Research on Patent Quality Analysis and Classification Prediction Based on Machine Learning: A Case Study of Blockc hain Technology Patents[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:14.204544Z

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 e90aac6b-df83-4385-90ef-4933c6d6c613 · outbound

This paper cites Semantic similarity matching for patent documents using ensemble bert-related model and novel text processing method[J].

Research on feature fusion and multimodal patent text based on graph attention network Semantic similarity matching for patent documents using ensemble bert-related model and novel text processing method[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:14.035274Z

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 d740290a-c4e1-48a8-bd53-db8678a61ae3 · outbound

This paper cites Similarity matching for patent documents using ensemble bert -related model and novel text processing method[J].

Research on feature fusion and multimodal patent text based on graph attention network Similarity matching for patent documents using ensemble bert -related model and novel text processing method[J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:13.857816Z

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 2d46afdc-06da-46e5-be20-154bbdcfa752 · outbound

This paper cites Cross-language patent matching via an international patent classification - based concept bridge[J].

Research on feature fusion and multimodal patent text based on graph attention network Cross-language patent matching via an international patent classification - based concept bridge[J]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:13.629077Z

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 07320233-69b5-44b5-99f8-4d4382b340b2 · outbound

This paper cites Extracting and Matching Patent In -text References to Scientific Publications[C]//BIRNDL@ SIGIR.

Research on feature fusion and multimodal patent text based on graph attention network Extracting and Matching Patent In -text References to Scientific Publications[C]//BIRNDL@ SIGIR

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:13.437798Z

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 b483c36e-395f-445d-b263-a404adf65bfa · outbound

This paper cites Text mining techniques for patent analysis[J].

Research on feature fusion and multimodal patent text based on graph attention network Text mining techniques for patent analysis[J]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:13.245798Z

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 1afa328d-37f6-4f46-bee4-820668043250 · outbound

This paper cites A text -mining-based patent network: Analytical tool for high-technology trend[J].

Research on feature fusion and multimodal patent text based on graph attention network A text -mining-based patent network: Analytical tool for high-technology trend[J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:13.058352Z

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.

Pith citing papers

Observation f59ce348-5d2b-49ae-8c6c-a29e4129f329 · inbound

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems cites this paper.

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems Research on feature fusion and multimodal patent text based on graph attention network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:31.020036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e88e2d-f050-4e41-8b51-e76592a2f5b5 · inbound

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems cites this paper.

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Research on feature fusion and multimodal patent text based on graph attention network

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:56.542374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151e22c0-17e8-44c4-aa4b-d291f595d3f2 · inbound

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems cites this paper.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Research on feature fusion and multimodal patent text based on graph attention network

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:17.858913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa6ab70-066b-43aa-a098-0c2aee1db6ce · inbound

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP cites this paper.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Research on feature fusion and multimodal patent text based on graph attention network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:22:24.793636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a1ba53-bcb8-4683-bbb3-c8bedb9d64c2 · inbound

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs cites this paper.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Research on feature fusion and multimodal patent text based on graph attention network

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:48.749407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3d89e7-59ac-49c1-bdea-77583ee015e1 · inbound

Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning cites this paper.

Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning Research on feature fusion and multimodal patent text based on graph attention network

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:24.695877Z

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 f88f49e6-cfdd-4ab0-851d-634513267553 · inbound

Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning cites this paper.

Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning Research on feature fusion and multimodal patent text based on graph attention network

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T13:35:46.972379Z

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.