Paper Citation Record · LEDGER

Representation biases: will we achieve complete understanding by analyzing representations?

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 7 inbound Pith citation observations for arXiv:2507.22216.

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

pith.paper-citation-record.v1
2507.22216 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:03:43.350331Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:16:34.187860Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 8e069d8e-a17c-4807-b18b-4f53e313b00c · outbound

This paper cites Brain-Model Evaluations Need the NeuroAI Turing Test.

Representation biases: will we achieve complete understanding by analyzing representations? Brain-Model Evaluations Need the NeuroAI Turing Test

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:42.934975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a115375e-0a3f-466d-ad80-690f5d03daf1 · outbound

This paper cites Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.

Representation biases: will we achieve complete understanding by analyzing representations? Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:43.063552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c41aea2-83e8-4255-a54b-ffc2b07fe243 · outbound

This paper cites The Low-Rank Simplicity Bias in Deep Networks.

Representation biases: will we achieve complete understanding by analyzing representations? The Low-Rank Simplicity Bias in Deep Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:43.145109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0819faa1-e25f-4ee8-b41b-aced2a64332b · outbound

This paper cites Tuckute, E.

Representation biases: will we achieve complete understanding by analyzing representations? Tuckute, E

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:03:43.866523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ee8a1e4-db6b-4b42-9443-25953d76fdc6 · outbound

This paper cites Van Dijk, C.

Representation biases: will we achieve complete understanding by analyzing representations? Van Dijk, C

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:03:43.707584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b89f200-a1de-42a7-82dc-abd590dddf13 · outbound

This paper cites an unresolved cited work.

Representation biases: will we achieve complete understanding by analyzing representations? Unresolved cited work

Reference 1991

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:03:43.977645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec6ea137-7974-4ee0-b268-6c8deafbd47d · outbound

This paper cites Conwell, J.

Representation biases: will we achieve complete understanding by analyzing representations? Conwell, J

Reference 1998

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:03:44.212992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66e86cb6-24b7-44dc-9e48-67e7f7d0ad77 · outbound

This paper cites Getting aligned on representational alignment.

Representation biases: will we achieve complete understanding by analyzing representations? Getting aligned on representational alignment

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:43.251183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a722130-f723-4629-8782-a5f7e56d20e8 · outbound

This paper cites On the Foundations of Shortcut Learning.

Representation biases: will we achieve complete understanding by analyzing representations? On the Foundations of Shortcut Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:43.102420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5339e38e-6247-4b1d-a9ab-37f59eee0404 · outbound

This paper cites Dujmovic, J.

Representation biases: will we achieve complete understanding by analyzing representations? Dujmovic, J

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:03:44.064612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a04b53a-7d84-4a11-8247-ebdb4702a36a · outbound

This paper cites Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior.

Representation biases: will we achieve complete understanding by analyzing representations? Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:42.755623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 799c9bbf-68d8-45d7-8f4b-6ac0b77b64d7 · outbound

This paper cites Understanding Visual Feature Reliance through the Lens of Complexity.

Representation biases: will we achieve complete understanding by analyzing representations? Understanding Visual Feature Reliance through the Lens of Complexity

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:03:43.546100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation ffb4c97f-190d-4c9e-973a-c49ec99f86c4 · inbound

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Representation biases: will we achieve complete understanding by analyzing representations?

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:53:11.568469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7bf165a-76a2-4c8f-ad00-56f2b41b6eb8 · inbound

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Representation biases: will we achieve complete understanding by analyzing representations?

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:10:24.888607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99ab1394-f8c5-4468-8dca-2a1bfb46a9f2 · inbound

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Representation biases: will we achieve complete understanding by analyzing representations?

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T13:00:28.823611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9daec60f-a4e5-4e11-ab0b-e0f210204bf2 · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models Representation biases: will we achieve complete understanding by analyzing representations?

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:18:59.376679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4696b972-23b5-40f5-8886-35a12a4cc38f · inbound

Stimulus symmetries can confound representational similarity analyses cites this paper.

Stimulus symmetries can confound representational similarity analyses Representation biases: will we achieve complete understanding by analyzing representations?

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:24:28.072863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c3828b7-a820-49b3-b16e-5a092f90f567 · inbound

Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks cites this paper.

Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks Representation biases: will we achieve complete understanding by analyzing representations?

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:33:39.678854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 77d12d3e-fd91-4a98-853d-88f5cfa497d1 · inbound

On the use of foundation models in cognitive science cites this paper.

On the use of foundation models in cognitive science Representation biases: will we achieve complete understanding by analyzing representations?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T04:16:34.187860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.