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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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
  • parse uncertain0
  • 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=sha256:937dbba7d147eb65fd43ee88f58dbe74d9b08d0fb028a2c54de06f964c88e73f

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=sha256:246377cdd5e445ef8cbb029cdb0f94c8cee157b8274713445d561b5ca515fcfa

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:cf9092ed604177e226f9c7cc1b4ef758a5bf3623450fe32dd426a445ae14a035

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=sha256:362270f53a950c2a6a5962cb6edd01152ffe4736e96c546d4931d666f130090e

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=sha256:02b5db7fb4d0917711c130803f8a2a77e25be5cb700c3b9ff3db980aa4970aa7

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:bf88f9de1225765c33b915e98d2a320cf2d38c8965d7411c0a77ac3a66e348a6

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=sha256:6f3afd89408395a4a44a5f3f720288619ad91c21798f40133c555d4e9036f443

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=sha256:99108ac214ee0c746fa690fae689a7146f9f6b2b2c6a70ad138df66b2b61d5fd

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=sha256:673a75c061607e691d0302460e2d396847a56d15bd59429bedf65dd564d4e7aa

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=sha256:274949a523f87316a7cd3fff2d00b3bd5941d5f88aaa49855ee63a33002b23c7

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:ea285bb875dfdbedd49a8dcea80f78a14940d3e6d990581a1cef01ef0aa765cb

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=sha256:1af340a9c813e5ce54152a101736ce7993b3c64ef619cc45f9b7b15c1bdf93fa

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=sha256:48b1804fb95aafb0eeb167aa8886194dd47aca0688531f82728c61f7b158f402

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=sha256:1607e62244266a95e0ef03f7ef4869f864301d16bc877a86282b4f9f5574662a

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=sha256:13569fee17d3483e05174629fcc2f3943e5a7c552cef6cb525d7b3c014c54886

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=sha256:778cc8ef8dfb9417998c835a86783ce4368a103057963e5ad0beb066770add6a

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=sha256:8aa22a8ec7a7bf45ff3684c4b4e39deeb00f3ceaf0960aa6c23db84b8fab1d91

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:b282c7ae9f6a11a409114be773576240f267fcb0dd17879e43f5f98506b8fc83

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=sha256:42d9962a2c7cd6679f53b00cf5679b04cccbdfbf6f6360d0932f935c997ca5c5

Pith citing papers

No inbound Pith citation observations are available.