Paper Citation Record · LEDGER

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.16674.

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

pith.paper-citation-record.v1
2505.16674 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:26.283860Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

verified exact1
verified fuzzy18
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 607f7928-c2b9-4edd-8ce9-d763bb528275 · outbound

This paper cites Public health and climate benefits and trade-offs of us vehicle electri- fication,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Public health and climate benefits and trade-offs of us vehicle electri- fication,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:30.323551Z

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 835a12c3-ea7f-48b2-9660-6f49c1516666 · outbound

This paper cites Solar energy and wind power supply supported by storage technology: A review,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Solar energy and wind power supply supported by storage technology: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:30.137470Z

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 d4b0a8fe-a6e2-4b8d-9491-497d2d6e87fd · outbound

This paper cites Anomaly detection method for lithium-ion battery cells based on time series de- composition and improved manhattan distance algorithm,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Anomaly detection method for lithium-ion battery cells based on time series de- composition and improved manhattan distance algorithm,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:29.986230Z

Source-reported events for the cited work

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Observation c8a39ad4-8043-4598-aa47-75a9381f61b0 · outbound

This paper cites Data driven battery anomaly detection based on shape based clustering for the data centers class,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Data driven battery anomaly detection based on shape based clustering for the data centers class,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:29.788591Z

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 b51eb7bb-7b7b-4702-bfa7-85f289cae4a7 · outbound

This paper cites A wireless battery temperature monitoring system for electric vehicle charging,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge A wireless battery temperature monitoring system for electric vehicle charging,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:29.583982Z

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 ab700d08-645a-4f35-a588-5194f4f265a1 · outbound

This paper cites Reconpatch: Contrastive patch representation learning for industrial anomaly detection,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Reconpatch: Contrastive patch representation learning for industrial anomaly detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:29.417046Z

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 b2794860-7aa0-4e10-a1e9-ccc82ce8fd44 · outbound

This paper cites Exploiting autoen- coder’s weakness to generate pseudo anomalies,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Exploiting autoen- coder’s weakness to generate pseudo anomalies,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:29.278994Z

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 68ef0d1a-bd8d-46be-a8eb-150cf944f4f3 · outbound

This paper cites Ai-enabled thermal monitoring of commercial (phev) li-ion pouch cells with feature-adapted unsupervised anomaly detection,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Ai-enabled thermal monitoring of commercial (phev) li-ion pouch cells with feature-adapted unsupervised anomaly detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:29.042400Z

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 26d22818-4b73-4f37-b4f2-6d8dddd935ce · outbound

This paper cites Overcoming limited battery data challenges: A coupled neural network approach,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Overcoming limited battery data challenges: A coupled neural network approach,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:28.733650Z

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 4ab72212-f505-4a34-96e2-01d17bf9a2a7 · outbound

This paper cites Status, challenges, and promises of data-driven battery lifetime prediction under cyber-physical system context,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Status, challenges, and promises of data-driven battery lifetime prediction under cyber-physical system context,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:28.496939Z

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 6f2560f1-f7a4-489c-beec-7e0bd9f189e5 · outbound

This paper cites From images to textual prompts: Zero-shot visual question answering with frozen large language models,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge From images to textual prompts: Zero-shot visual question answering with frozen large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:28.280148Z

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 ebdb4f12-d480-40cb-aee9-418c6b12f196 · outbound

This paper cites Gpt-4v-ad: Exploring grounding potential of vqa-oriented gpt- 4v for zero-shot anomaly detection,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Gpt-4v-ad: Exploring grounding potential of vqa-oriented gpt- 4v for zero-shot anomaly detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:28.048815Z

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 ac107073-1fdd-4682-b715-bd564be80cc2 · outbound

This paper cites Visual question answering models for zero-shot pedestrian attribute recognition: A comparative study,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Visual question answering models for zero-shot pedestrian attribute recognition: A comparative study,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:27.867514Z

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 11a173ca-b192-46b5-8781-9b0294501d82 · outbound

This paper cites GPT-4o System Card.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge GPT-4o System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:24.661406Z

Source-reported events for the cited work

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Observation 2b2697f1-c92d-42fc-b854-81e9e6c1a665 · outbound

This paper cites Improved baselines with visual instruction tuning,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Improved baselines with visual instruction tuning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:24.757044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a37768-6936-4e6d-a514-60a4aa2a4d63 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:24.832170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4d6aef-f511-42b2-87b4-4094c019fec2 · outbound

This paper cites Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:59:26.447149Z

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 733150c1-1538-428f-963e-3d5d45a88b9b · outbound

This paper cites Paraphrase types elicit prompt engineering capabilities,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Paraphrase types elicit prompt engineering capabilities,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:27.660961Z

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 6b1781c5-9679-4f69-bec9-50020c42bddc · outbound

This paper cites Cflow-ad: Real-time unsu- pervised anomaly detection with localization via conditional normalizing flows,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Cflow-ad: Real-time unsu- pervised anomaly detection with localization via conditional normalizing flows,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:27.319474Z

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 81223c78-367a-4e8a-9c6d-0b85b9f21ee5 · outbound

This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:25.363827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74baa3ce-f5c9-4a86-b602-1a9f2996aed0 · outbound

This paper cites Towards total recall in industrial anomaly detection,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Towards total recall in industrial anomaly detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:25.426859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7432ae-afb8-4d8c-83a4-327e322eca21 · outbound

This paper cites Cfa: Coupled-hypersphere-based fea- ture adaptation for target-oriented anomaly localization,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Cfa: Coupled-hypersphere-based fea- ture adaptation for target-oriented anomaly localization,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:25.568143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baafb289-603a-4005-8dfe-6c08a863a681 · outbound

This paper cites FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:25.699303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc43f70f-9ea9-470b-a955-c64e9fa98d70 · outbound

This paper cites Reconstruction by inpainting for visual anomaly detection,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Reconstruction by inpainting for visual anomaly detection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:25.877842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b5a70e7-704d-4bf2-9777-fdffff142875 · outbound

This paper cites Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:26.012323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4b0a0a-a3d8-40f6-ab1b-7a1bb9e5098b · outbound

This paper cites Simplenet: A simple network for image anomaly detection and localization,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Simplenet: A simple network for image anomaly detection and localization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:27.094919Z

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 3664030b-acaa-4b54-9388-9fd713c5a000 · outbound

This paper cites Efficientad: Accurate visual anomaly detection at millisecond-level latencies,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Efficientad: Accurate visual anomaly detection at millisecond-level latencies,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:26.870775Z

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 0565bd69-4a7d-4402-abd6-dc321e1d84c8 · outbound

This paper cites Padim: a patch dis- tribution modeling framework for anomaly detection and localization,.

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge Padim: a patch dis- tribution modeling framework for anomaly detection and localization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:59:26.631868Z

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

No inbound Pith citation observations are available.