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Paper Citation Record · LEDGER

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.09732.

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

pith.paper-citation-record.v1
2509.09732 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:28:22.445450Z

measured 29 of 29 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

29 of 29 outbound references displayed

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  • unresolved29
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af5a841d-b63e-4378-9185-5f06f40dddbf · outbound

This paper cites Vision-Language Models Do Not Understand Negation.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Vision-Language Models Do Not Understand Negation

Reference 1

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Observation db644daa-3b7f-415c-8e2b-6095940a2841 · outbound

This paper cites On the Limitations of Vision-Language Models in Understanding Image Transforms.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs On the Limitations of Vision-Language Models in Understanding Image Transforms

Reference 2

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Observation f9088cf7-a8d0-42cd-8f3a-9008a3c91748 · outbound

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

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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Observation 5221d29c-9c2e-45a0-adc6-950cbe3df1d8 · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-04T20:28:21.125484Z digest=sha256:c866765699a09127ffc1acce28bc638d3b374f9a4a8cc6914a125b6dfc9ce304

Observation f521754f-badd-493e-ab6b-cde72d294693 · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 5

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Observation 2216bff9-1500-47cd-bf96-634cae1af1b7 · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 6

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Observation 3fae005a-23bf-4194-a297-011c52c50c1c · outbound

This paper cites Tree of Attributes Prompt Learning for Vision-Language Models.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Tree of Attributes Prompt Learning for Vision-Language Models

Reference 7

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Observation c3ab1004-7899-47af-a827-4fe81b49e719 · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 8

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Observation cd606739-cd47-4479-aba7-51ae59ff4e91 · outbound

This paper cites How Well Can Vision Language Models See Image Details?.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs How Well Can Vision Language Models See Image Details?

Reference 9

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Observation aeb82cb5-7cbb-46ce-b833-ee57ad5da61c · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 10

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Observation 21434bd9-6f28-4f9c-869e-ff77b7aa0f64 · outbound

This paper cites In the Era of Prompt Learning with Vision-Language Models.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs In the Era of Prompt Learning with Vision-Language Models

Reference 11

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Observation c94e9ab6-ce85-4c24-a90f-3205281ba662 · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 12

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Observation 8069b16b-cce1-49fd-82ac-47d9ccbf1189 · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 13

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Observation 3e5ab66a-f1ba-4545-98e2-7c42513df05e · outbound

This paper cites A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

Reference 14

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Observation 9fd9b59f-d7e5-4e67-8bf9-ea710d857dd8 · outbound

This paper cites Visual Instruction Tuning.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Visual Instruction Tuning

Reference 15

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source=arxiv_source observed=2026-08-04T20:28:21.497203Z digest=sha256:00cdbd0810448be20d5510da3a84a176a58aa017aca9d85448674be57d29e3dd

Observation 0b9744b8-b6d5-4615-9870-4e140fbcc7f6 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Lost in the Middle: How Language Models Use Long Contexts

Reference 16

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Observation a94ce67a-6212-4858-916e-265ce0124a9a · outbound

This paper cites GPT-4 Technical Report.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs GPT-4 Technical Report

Reference 17

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source=arxiv_source observed=2026-08-04T20:28:21.535714Z digest=sha256:ec5a199643b36c97ec515833abf260455891cb26da7d11ba0bcf42aba9a95b0d

Observation 029881b6-acae-4be7-8490-03dac2d4526c · outbound

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

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Learning Transferable Visual Models From Natural Language Supervision

Reference 18

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Observation 2de1ca38-3d58-4163-aefd-5d17ee11c390 · outbound

This paper cites Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions

Reference 19

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Observation 94e703f5-954c-42f1-9a41-a04b60df07c0 · outbound

This paper cites A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models

Reference 20

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Observation e7cfc6bd-83ba-4598-93dd-0ff815063caa · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 21

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Observation 74348db9-0077-4152-94fd-19ec68399a5f · outbound

This paper cites an unresolved cited work.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-04T20:28:21.646110Z digest=sha256:6e782b77b677435a133f19de1522e8146301186128cecd4d7a29d6a7f2e09c97

Observation 343a1966-8386-4df3-a720-f36c4b0a31d7 · outbound

This paper cites Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models

Reference 23

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Observation f50ca788-eafd-4f1c-9579-2ae256909e5c · outbound

This paper cites Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity

Reference 24

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Observation 45d68678-604d-4ed8-9009-15a463208fe4 · outbound

This paper cites 3VL: Using Trees to Improve Vision-Language Models' Interpretability.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs 3VL: Using Trees to Improve Vision-Language Models' Interpretability

Reference 25

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Observation 9b64d19a-1153-4f5d-ae08-f16d1edee1be · outbound

This paper cites Improve Vision Language Model Chain-of-thought Reasoning.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Improve Vision Language Model Chain-of-thought Reasoning

Reference 26

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Observation 9df4ce5f-c840-4476-becc-a370ef38184e · outbound

This paper cites Why are Visually-Grounded Language Models Bad at Image Classification?.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Why are Visually-Grounded Language Models Bad at Image Classification?

Reference 27

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Observation e7829442-6e77-4fc9-afef-aee6495152ab · outbound

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Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs , " * write output.state after.block = add.period write newline

Reference 28

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Observation b76a722b-67c3-4356-b60c-ee89272ac1d2 · outbound

This paper cites write newline.

Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs write newline

Reference 29

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Pith citing papers

No inbound Pith citation observations are available.