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Paper Citation Record · LEDGER

From Colors to Classes: Emergence of Concepts in Vision Transformers

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.24071.

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

pith.paper-citation-record.v1
2503.24071 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:46:43.304293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:46:54.950787Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc8ba861-c751-4c4c-bd33-9b7c0d3ce12d · inbound

From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance cites this paper.

From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:59.197218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:59.197218Z digest=sha256:4ecf27396d2c1635658ff0637366a25c47c3e395114894be7d0a0c4503ba572f

Observation 2d142ff1-f9e3-41fb-9e8a-8f36f492ccb5 · inbound

Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers cites this paper.

Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:59.553813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:59.553813Z digest=sha256:811c6ecb63ef05e0eef943dd9e51521a49648bd5e1172aa9424aaa69cb0fc970

Observation 9e9edd5f-ed8b-4681-8128-795c3143d0d8 · inbound

Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations cites this paper.

Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T05:30:17.192036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:30:17.192036Z digest=sha256:819c81a16cda12448e271af2e40eb25c31c5b04607f85b245dd2102b9ec49f5e

Observation 19514603-115d-48c4-84ab-5655493401b1 · inbound

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation cites this paper.

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T04:33:18.437519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:33:18.437519Z digest=sha256:cd8cfafa3d0bbe41d2f9ce495b40ef88f3f3c91bc3a34b153ec3014defa0e5a6

Observation a6019983-5fc4-439c-9131-d659ee855d36 · inbound

MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization cites this paper.

MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:46:54.953794Z

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.

source=pdf_text observed=2026-05-18T23:46:24.208056Z digest=sha256:c8005bb38ce7a3a6d16f3bf7bcb917a2e4cf7e9cbd486cb07e2f04781e62779d

Observation c394002a-f302-4237-93a9-9ffa25a4289e · inbound

A Unified Geometric Space for Topological Alignment Between Transformer-Based Models and Human Brain Networks cites this paper.

A Unified Geometric Space for Topological Alignment Between Transformer-Based Models and Human Brain Networks From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T15:46:43.304293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:46:43.304293Z digest=sha256:5c54a1cb8886a15782a44f16f03373817cbdd30f86f8f109ffc43fe5b22eba84

Observation 46a43075-16d5-40e7-9873-c86ddca2e623 · inbound

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail cites this paper.

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T18:33:02.002804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:33:02.002804Z digest=sha256:56f27819f818c06849a7e24f4d0171ab076a433ccd4ac904816a843855a44b34

Observation ba656532-4415-4d2e-8a86-cd049fae436b · inbound

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models cites this paper.

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T04:36:01.367839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:01.367839Z digest=sha256:4de6b920c1f49b8abf101be00280cdd4111fd36cd779f3991af976d91bcb8597

Observation 131c0c5b-ece4-4611-a415-6792b3d3e496 · inbound

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models cites this paper.

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models From Colors to Classes: Emergence of Concepts in Vision Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T06:15:55.539671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:15:55.539671Z digest=sha256:9b59f6481a9b322e9fde258ec2077fe95ff0cfafd3aaf66cd9f2910b9052c62a