Paper Citation Record · LEDGER

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2506.01334.

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

pith.paper-citation-record.v1
2506.01334 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:08.732587Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:27:56.163337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:16:43.833581Z

Reference resolution

35 of 35 outbound references displayed

verified exact2
verified fuzzy4
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c27e51a3-b6ee-4946-b337-0d2fcc74129c · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:05.357688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b295985-9256-4543-9cc1-d599e13f2ea5 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:05.409426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85da5fe3-0198-4e1f-a446-4b406630acf2 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:05.495238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb88c43-8852-4da6-9b78-9c14ddd7e45e · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:05.615188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7bc2903-d27a-416e-b1b6-fffc7ebe7cc8 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:50:09.562466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6dcd18ee-d412-49cf-a532-8a11db088551 · outbound

This paper cites Editable Concept Bottleneck Models.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Editable Concept Bottleneck Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:05.833784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa106305-4f98-4bb2-bfe3-3d9aaec1a04f · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:05.959996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5d78eb-bf88-4a67-a9dd-04c75faf8404 · outbound

This paper cites GPT-4o System Card.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models GPT-4o System Card

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:06.047289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3bc113-c971-4bc2-a615-fcecf3a50c24 · outbound

This paper cites Cai, James Wexler, Fernanda B.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Cai, James Wexler, Fernanda B

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:10.417620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31982e06-35c1-4ea2-9f12-589a134797f0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Adam: A Method for Stochastic Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:06.203096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39558a24-3bd0-4d38-9ce7-f73694fcd0ba · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:50:10.332425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ed4995e-fc53-41be-98dc-5e3367f66a54 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:50:10.262745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c1311bd-8ede-4b4c-841c-99ccdb039257 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:06.457879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 051cef4f-113d-4779-80fc-30ab6c51befc · outbound

This paper cites Interpretability Beyond Classification Output: Semantic Bottleneck Networks.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Interpretability Beyond Classification Output: Semantic Bottleneck Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:06.576052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b41cb45-5fb7-4241-98f9-3742c1bcd01d · outbound

This paper cites Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:50:09.316970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77a18ec6-6a87-4c9c-a9b2-f9b5b4fa80bc · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:06.716112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e9f0226-81c8-4cb5-95da-d1d57c315375 · outbound

This paper cites Oikarinen, Subhro Das, Lam M.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Oikarinen, Subhro Das, Lam M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:10.136711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b13caa12-92cd-4454-9d26-058a3d00d74d · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:50:10.007210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bfbebd62-e3b0-48d0-97cd-20daf0c836b3 · outbound

This paper cites Berkay Celik, and Ananthram Swami.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Berkay Celik, and Ananthram Swami

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:06.953339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc406f8-dcf5-4fce-8bde-9a512bbbcb7f · outbound

This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:07.191004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fda0555-4761-4ae0-8f0c-c5a3fae43777 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:07.474957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79af346-ef23-4af8-aafa-34bc0f460723 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:07.805091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a01f976-8761-4649-bbe7-0533a40c7ba4 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:07.872178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d102e2-c54d-427d-917a-44b261ab1f8e · outbound

This paper cites Belongie.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Belongie

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:09.864426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf0a9629-744d-4ce0-af66-b2c1a6bc703f · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.026820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6308313-48e6-406b-9b7f-856f0442731d · outbound

This paper cites Chi, Quoc V.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Chi, Quoc V

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.100697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee93e9fe-bbc8-49b3-b204-cafa0b5c68fb · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.228200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c70e4c-0aed-4749-8b36-62f12e2da1ba · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.398289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5ddbbe-1dea-4ce8-8c0c-efa74579c886 · outbound

This paper cites Narasimhan, and Yuan Cao.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Narasimhan, and Yuan Cao

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.436009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b40382d-22b1-4ae5-bd70-0fe99c09a59b · outbound

This paper cites u ksekg \.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models u ksekg \

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:09.754737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6ce121f-191b-47b9-bdac-4300a6dc2aff · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.547590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c84447eb-e2c0-46f8-9e4a-081afb4ed1c7 · outbound

This paper cites an unresolved cited work.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.591478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15f536cb-a38a-4141-97af-2abc3a55433e · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.642630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2b4b3a-3ea4-4569-9160-9d630647968c · outbound

This paper cites online" 'onlinestring :=.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models online" 'onlinestring :=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.687569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756e2719-55d7-44f3-99c2-673fdae775bd · outbound

This paper cites write newline.

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:08.732587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 390450c4-70c5-4284-a201-94f77e7a267e · inbound

Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition cites this paper.

Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:45:58.847939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1aa53424-7b1e-4365-be9a-467e471e6c8c · inbound

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.838247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.