Paper Citation Record · LEDGER

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.03542.

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

pith.paper-citation-record.v1
2507.03542 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:13:47.973601Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

verified exact1
verified fuzzy18
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 514e91e1-0e31-4f17-ae39-97a34219086b · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning,.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Flamingo: a Visual Language Model for Few-Shot Learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.909807Z

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 b2230a53-3e9d-4ba8-86b6-b639a7ca850b · outbound

This paper cites Vision-language models do not understand negation, 2025.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Vision-language models do not understand negation, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.715376Z

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 d092a9c8-e782-4bf8-9063-2ac28c24e2ce · outbound

This paper cites Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:45.126162Z

Source-reported events for the cited work

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Observation 320ef00d-9715-47d0-be98-97bb7e4d2b81 · outbound

This paper cites Evolving interpretable visual classifiers with large language models.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Evolving interpretable visual classifiers with large language models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.657578Z

Source-reported events for the cited work

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Observation 8c94f42e-3714-46a5-b39f-d5ff3fe20e6c · outbound

This paper cites The platonic representation hypothesis, 2024.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor The platonic representation hypothesis, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.594457Z

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 4d74d4bf-483a-4ca9-9d77-c693da85ec94 · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:45.396579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82a0fa9-6153-4417-9d18-8c851062505e · outbound

This paper cites What's "up" with vision-language models? Investigating their struggle with spatial reasoning.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor What's "up" with vision-language models? Investigating their struggle with spatial reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:45.458422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f6097e-142c-47d1-b06c-549592b1a386 · outbound

This paper cites Large language models struggle to learn long-tail knowledge, 2023.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Large language models struggle to learn long-tail knowledge, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.538319Z

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 e4a5d569-e6ae-401d-93b7-87eec66b9952 · outbound

This paper cites Cifar- 100 (canadian institute for advanced research).

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Cifar- 100 (canadian institute for advanced research)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.485661Z

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 ae75167e-f446-46e0-a689-3ca8eba802ac · outbound

This paper cites Align before fuse: Vision and language representation learn- ing with momentum distillation.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Align before fuse: Vision and language representation learn- ing with momentum distillation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:45.629794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8910940d-96a0-4bda-be08-75a09dfa55d2 · outbound

This paper cites Improved baselines with visual instruction tuning.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Improved baselines with visual instruction tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:45.654032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffcfc55-cc6d-4671-93b8-a982536abc0a · outbound

This paper cites Visual instruction tuning.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Visual instruction tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:45.841570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e51f2db3-70d4-4c48-a252-12925c062df8 · outbound

This paper cites Visual classification via description from large language models, 2022.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Visual classification via description from large language models, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.435605Z

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 c50dfedd-ed59-455a-b089-498faed52d00 · outbound

This paper cites Visual Classification via Description from Large Language Models.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Visual Classification via Description from Large Language Models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.412046Z

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 56026ccf-c83c-4f76-8e27-db45f747e6e7 · outbound

This paper cites Slip: Self-supervision meets language-image pre- training.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Slip: Self-supervision meets language-image pre- training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:46.234593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a8d458-3ca0-4235-a84f-6e78a3ee3794 · outbound

This paper cites Dinov2: Learning robust visual features with- out supervision, 2024.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Dinov2: Learning robust visual features with- out supervision, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:46.420003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58fbfcf4-8fab-4580-9678-2f8346bafff2 · outbound

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

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Learning Transferable Visual Models From Natural Language Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:46.524666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9fdb4a-06e6-4ba2-8ebd-64d9158315fe · outbound

This paper cites Learning transferable visual models from natural language supervision.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Learning transferable visual models from natural language supervision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.306332Z

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 f61589dd-d120-4037-aa20-442ae9ede13b · outbound

This paper cites Sophia Koepke, Oriol Vinyals, Cordelia Schmid, and Zeynep Akata.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Sophia Koepke, Oriol Vinyals, Cordelia Schmid, and Zeynep Akata

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:51.056043Z

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 a567c6e1-e12f-4ac8-880e-9a6f36b24095 · outbound

This paper cites Sun, and Swarat Chaudhuri.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Sun, and Swarat Chaudhuri

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:50.849513Z

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 faf6d0b9-3eef-4c57-b727-a935747683a1 · outbound

This paper cites Love, Christo- pher J.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Love, Christo- pher J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:50.657671Z

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 335682cf-102e-4107-8b7d-25d1d37a5bdc · outbound

This paper cites Understanding the emergence of multimodal representation alignment, 2025.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Understanding the emergence of multimodal representation alignment, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:50.400989Z

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 98ee8c2b-cd79-4be2-852d-65a645b5068b · outbound

This paper cites Eyes Wide Shut? Exploring the Vi- sual Shortcomings of Multimodal LLMs.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Eyes Wide Shut? Exploring the Vi- sual Shortcomings of Multimodal LLMs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:50.239394Z

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 6835cae2-5dcb-4d53-9c6f-1e658f69a0ca · outbound

This paper cites Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:49.923528Z

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 f318744b-75a4-477c-9b73-e1fdda7efc10 · outbound

This paper cites an unresolved cited work.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:13:49.601688Z

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 044a7e41-72bb-41ee-9e8f-f053afa823bf · outbound

This paper cites Learning Concise and Descriptive Attributes for Visual Recognition.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Learning Concise and Descriptive Attributes for Visual Recognition

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:13:48.328678Z

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 40433328-06c2-4aa4-8d6f-d9e4f40a3787 · outbound

This paper cites Learning concise and descriptive attributes for visual recognition.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Learning concise and descriptive attributes for visual recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:47.625348Z

Source-reported events for the cited work

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Observation 2511dd34-242d-489f-a07b-a6243ef53d17 · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for in- terpretable image classification, 2023.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Language in a bottle: Language model guided concept bottlenecks for in- terpretable image classification, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:49.284244Z

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 d193fc5f-09a5-488c-9559-38c6f818b9a8 · outbound

This paper cites Filip: Fine-grained interactive language-image pre-training.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Filip: Fine-grained interactive language-image pre-training

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:48.982821Z

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 19274119-75c2-4d67-9c60-8d015a7e368e · outbound

This paper cites laysan albatross, which is a.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor laysan albatross, which is a

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:13:48.658859Z

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 0bdd19ee-a710-47ff-b531-5ce9f118ab5d · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:44.966493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.