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Paper Citation Record · LEDGER

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs

As of 24 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.10666.

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

pith.paper-citation-record.v1
2607.10666 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:06:52.822171Z

measured 19 of 19 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

19 of 19 outbound references displayed

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  • verified fuzzy0
  • unresolved19
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e63eb8fe-1640-494b-b44f-f90eb0e73a29 · outbound

This paper cites Coenen, D.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Coenen, D

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:b0d1df699146a6524fbe508ef463bb376e1aea7f65d38b7d687a27cd08922276

Observation dc9406a2-2742-4122-8a0a-3b5893ab7f74 · outbound

This paper cites Czimmermann, G.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Czimmermann, G

Reference 2

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:0c2219b3d6f3d95f4d9be9df6f4eb1739c58225ffa135c4261df5b26f1c6e069

Observation 522d18c4-b6e9-4d10-bf90-0f3da0a0c354 · outbound

This paper cites DeCost, B.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs DeCost, B

Reference 3

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:692b8c43817119c5cc981da3a58b0f58900f07c3709120ba56af899762781867

Observation 3b74c985-3690-4687-bc82-577a00dea864 · outbound

This paper cites DIN 1045-2:2008.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs DIN 1045-2:2008

Reference 4

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:c8a41617c9cbeb32e1d432919cc42014012088f8ac75783d5d13765deb7f1fde

Observation b82bf09f-4880-44e6-a23d-ac2a050977dd · outbound

This paper cites Hsieh, C.L.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Hsieh, C.L

Reference 5

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:90cd3efc7aaf365bfafbe0478b8a15b4643d002a064dfdddb26174993096f7a9

Observation d3919062-3286-4c7a-a856-b8b0bf9dbeb9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 6

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:57286ff9f8f3909302e7a0f1e0cf01ed798f972451994ce92343d29521104716

Observation 84db46f9-fb99-4e11-aaec-57d3cbf80182 · outbound

This paper cites Online In-Context Distillation for Low-Resource Vision Language Models.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Online In-Context Distillation for Low-Resource Vision Language Models

Reference 7

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:2dc5818ae5bf35a6a84db8ebe4c9f5fbbb0214eb61a65d1f652a78d165550641

Observation d5296ce7-9196-455b-9ac0-7b587f87d05e · outbound

This paper cites an unresolved cited work.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:c8d07c166f2c5a5a755c1ee03af1fd9dfd209ed6c601dd416672425b928b8dda

Observation 027b5a70-fcd7-41e4-8e8c-a3c45f0d89ce · outbound

This paper cites Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples

Reference 9

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:fc472f8b73d645b04203d63d851b22363d90d95ac56e53667314b810eb3c8451

Observation 6c4723d5-af70-4498-b4e0-f9b9eadd57f2 · outbound

This paper cites Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings

Reference 10

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:9efc64bfab9e317e96d9267d03a74152e874da672014c3cd63f1244fde22f5a0

Observation fb25623e-c2a1-4892-a178-0e63297468fa · outbound

This paper cites Explain yourself! lever- aging language models for commonsense reasoning.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Explain yourself! lever- aging language models for commonsense reasoning

Reference 11

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:734f15a2fb40379e32f113ef9b37fc4bf5a8e5b52a7bc1ad77c9d350a0c30f44

Observation 803b3f9c-9e5a-4dea-b655-a684cd88d875 · outbound

This paper cites Song and Y.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Song and Y

Reference 12

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:4feb97d960c0d9c8f16de7b3bd26092f7f8aafacd17ffee8321eb2d280739a73

Observation b6f3e66a-6677-413f-9d2f-a17cf4df5751 · outbound

This paper cites Totino, F.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Totino, F

Reference 13

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:f0aefc619b9850651d2e8f512424f0df085f71278828919ef75296a9ef9ca55c

Observation 56e34f79-3e7d-4ace-b79e-1fa5e0f3cac9 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 14

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:35a66dbb0e5d6e26d4dfef3ba38826d82b333122d3ecfbf2670f6cb4cf7d4e4b

Observation 55786806-008f-4fc3-a2f7-75c7444e9d88 · outbound

This paper cites an unresolved cited work.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:1385de9ab7231d7a3e45b0d463b62a13811d139cdb54980b06eec7a8f41063f7

Observation e9852caa-6d97-453e-b997-8bb10ba5d27c · outbound

This paper cites Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation

Reference 16

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:0c152bcfb8f9907289616f3bb6ed5ac6be6f9f05028d936abe2504c18821da37

Observation e5eab40e-d14b-47c9-8809-4f48e42c65b9 · outbound

This paper cites STaR: Bootstrapping reasoning with rea- soning.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs STaR: Bootstrapping reasoning with rea- soning

Reference 17

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:9d85117e43e70d1cdbd4b2ab7b693330490afd3239777228f9bf7f5a741656b7

Observation 36c1170d-b05f-4bbb-a351-3a782c3be254 · outbound

This paper cites VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition

Reference 18

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:2c502582f10d69326d25dce4bfaacf811a181cc1d24060ffa93a4dca6ac7602a

Observation d60f7351-4223-4ac9-9310-b10e7791b17b · outbound

This paper cites Video-STaR: Self- training enables video instruction tuning with any supervision.

Answer-Conditioned Chain-of-Thought Distillation for Few-Shot Industrial Vision with Small VLMs Video-STaR: Self- training enables video instruction tuning with any supervision

Reference 19

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source=pdf_text observed=2026-07-14T10:06:52.822171Z digest=sha256:b66b9d4ee3080a356f25a09f89602131599c2cf671bdc3c784ff0489e2cda2d8

Pith citing papers

No inbound Pith citation observations are available.