Paper Citation Record · LEDGER

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2412.17077.

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

pith.paper-citation-record.v1
2412.17077 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:51:35.350254Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact3
verified fuzzy9
unresolved23
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec31fd41-3ecd-49be-8ddc-6c2956880d9b · outbound

This paper cites Intelligent detection method for substation insulator defects based on centermask,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Intelligent detection method for substation insulator defects based on centermask,

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T05:51:35.998597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ceef187-d48e-4c98-b76e-366db190e25f · outbound

This paper cites Dynamic Fault Analysis in Substations Based on Knowledge Graphs.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Dynamic Fault Analysis in Substations Based on Knowledge Graphs

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:51:35.910317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 52c62d83-bb4d-42d5-808b-54b19c9d0243 · outbound

This paper cites Artificial intelligence approaches to fault diagnosis in power grids: A review,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Artificial intelligence approaches to fault diagnosis in power grids: A review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.172146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40e02274-fcbd-49ea-8892-3c6ad5633372 · outbound

This paper cites Gpt-4 technical report,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Gpt-4 technical report,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.155984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3cf0ae77-9c9c-487d-8916-5eb21e5ebe85 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.182088Z

Source-reported events for the cited work

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Observation 693e9c89-2ced-4555-8f41-8b7d814f5485 · outbound

This paper cites VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.188186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af835b9-1545-4ad2-a05c-b80fce802bfa · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Learning Transferable Visual Models From Natural Language Supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.195031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa705af-f3c3-46ee-b47e-9865cf5c54f4 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Zero-Shot Text-to-Image Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.200769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1abfb59-c67d-4995-9c25-bcac465c7111 · outbound

This paper cites Transformers in Time Series: A Survey.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Transformers in Time Series: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.206504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc228da2-0643-4fcf-a67f-c119ebe6617d · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults High-Resolution Image Synthesis with Latent Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.213371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c7a7fe-4314-4ac4-b3db-bfd51fd4ef2b · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.219053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2547fae-1834-478b-b82c-f610a90fdba8 · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.224527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e615c7-a474-4568-8d33-1135caec5a28 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.229272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07eb1e9b-fda9-4234-a592-4a4dbe4ed973 · outbound

This paper cites MERLOT: Multimodal Neural Script Knowledge Models.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults MERLOT: Multimodal Neural Script Knowledge Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:51:35.722964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8116de7f-9d17-499d-9218-7a0bd5e44ced · outbound

This paper cites ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.245049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5614c05-5aa1-4da7-b83b-88cc5bb1cc0b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults On the Opportunities and Risks of Foundation Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.249999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e32f138-ac6b-4c15-9b50-b1e19925aa96 · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults HuatuoGPT, towards Taming Language Model to Be a Doctor

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.255164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e542da-fa42-400c-88e4-84f3aad4db70 · outbound

This paper cites Evaluating professional- ism in medical undergraduates using selected response questions: find- ings from an item response modelling study,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Evaluating professional- ism in medical undergraduates using selected response questions: find- ings from an item response modelling study,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.129454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66b93842-65e3-452c-8305-d732dd2272cc · outbound

This paper cites Readability measures as predictors of understandability and engagement in searching to learn,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Readability measures as predictors of understandability and engagement in searching to learn,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.113504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e68d2b3-09bc-4a06-80bc-664ee867ad47 · outbound

This paper cites A review of comprehensiveness, user-friendliness, and contribution for sustainable design of whole build- ing environmental life cycle assessment software tools,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults A review of comprehensiveness, user-friendliness, and contribution for sustainable design of whole build- ing environmental life cycle assessment software tools,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.098253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1133e93b-0ccd-4a09-8b7d-44e6d6776851 · outbound

This paper cites Substation fault diagnosis dataset,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Substation fault diagnosis dataset,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.082143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51340bde-e241-47c8-8281-78eb0dcb9a6e · outbound

This paper cites an unresolved cited work.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:51:36.065574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e55840a8-4911-4368-b898-e3f69b4d4ded · outbound

This paper cites Easyanimate: A high-performance long video generation method based on transformer architecture,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Easyanimate: A high-performance long video generation method based on transformer architecture,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.285549Z

Source-reported events for the cited work

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Observation a8cdea3b-5dc7-478b-b87c-d49fbff980ef · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.290830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf58e82d-b8cb-4db7-8688-3851d58f0435 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Fine-Tuning Language Models from Human Preferences

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.295887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9b4bf5-2815-4a94-987a-f9e0e54c3cbf · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults A General Language Assistant as a Laboratory for Alignment

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.300969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466e9396-d6ca-474c-83a0-b5f82c681e3e · outbound

This paper cites Visual Instruction Tuning.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Visual Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.307584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb38e83a-22ba-4a37-adab-84bebdd3ce1f · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Improved Baselines with Visual Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.312457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bafa9a7-efe4-478f-bc68-503d80f791d9 · outbound

This paper cites Glm: General language model pretraining with autoregressive blank infilling,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Glm: General language model pretraining with autoregressive blank infilling,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.049321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9582049c-190c-4dcd-8668-0f799f7d6c9e · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Cogview: Mastering text-to-image generation via transformers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.033295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a1ae702-9c9d-4838-9857-04bb33b91275 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.329439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54009653-ec5f-4d64-a226-422c720e1bda · outbound

This paper cites Qwen2-vl,.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Qwen2-vl,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:51:36.016117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c21fbb4f-40ec-463e-96a6-af64e2ed3372 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.339391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9d62d2-7b72-4cdb-b9eb-90d1b162b078 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.344847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8515f580-372d-4aaa-822b-bc8c992d4d8e · outbound

This paper cites Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:51:35.397824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99ed33be-fbd4-4c10-9f53-f5d89379b7c7 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:35.234441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.