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Paper Citation Record · LEDGER

Legible-by-Construction: Attention and End-to-End Transformers

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2607.04319.

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

pith.paper-citation-record.v1
2607.04319 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:06:55.102341Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:35:58.568346Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 516e9a00-9c20-423f-8dd8-5933890f4509 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Legible-by-Construction: Attention and End-to-End Transformers Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 1

Resolution
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no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:0e445d263a348e3ea2924f1e5e47266d5141fffa6c05e5cfd3e62b708418fdb4

Observation 4a9e657b-287b-495e-bb2d-5aa7d759a9fc · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Legible-by-Construction: Attention and End-to-End Transformers Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:12167c497ed820dfb88c3799cd61036a139904f0d3d6cec180c1b3f2e0e5f0ee

Observation f34fa1d5-9cfc-493a-9470-dc84295675c7 · outbound

This paper cites Softmax linear units.

Legible-by-Construction: Attention and End-to-End Transformers Softmax linear units

Reference 3

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unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:483e1861e88bd34c24e22f2edfdb8826fd8d73052db6a7274c835e12b54ac488

Observation 87555c08-0e83-4cf0-ae23-cde7b5a07b5a · outbound

This paper cites Interpreting Attention Layer Outputs with Sparse Autoencoders.

Legible-by-Construction: Attention and End-to-End Transformers Interpreting Attention Layer Outputs with Sparse Autoencoders

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:e5155667f9559e8d52fdabfba94b21c7593f070676e465bc5002ace47d39bad6

Observation 84580820-33dc-40a2-ad25-b70c95739731 · outbound

This paper cites Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors.

Legible-by-Construction: Attention and End-to-End Transformers Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors

Reference 5

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unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:b21eca9e9141779b8afdd4e40c8f57c42cc6c94aa19bc06f775e084aea755fd6

Observation f74dd00b-be05-40a4-a6eb-8f82b200bfd7 · outbound

This paper cites Bilinear MLPs enable weight-based mechanistic interpretability.

Legible-by-Construction: Attention and End-to-End Transformers Bilinear MLPs enable weight-based mechanistic interpretability

Reference 6

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unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:abbf925c74de8b7e4d6f2d172d4a80f348029eb9dcb8993858d1255ecc74f499

Observation f5079130-d1f2-4118-a6e1-627332b5c157 · outbound

This paper cites TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models.

Legible-by-Construction: Attention and End-to-End Transformers TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models

Reference 7

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unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:d4880428cc00ad3d6e2b39039b0abbe80ed39dcdbb4c4ecc25ea22add4093dde

Observation b4ea3e01-b25e-48db-861b-8dc620cab92f · outbound

This paper cites Theory, Analysis, and Best Practices for Sigmoid Self-Attention.

Legible-by-Construction: Attention and End-to-End Transformers Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:a1bd16d70b38fb84f3201e6d58b9e384892026533b4d09fe076810682183cf56

Observation 1b637bd4-608e-461f-bb52-d782258aba24 · outbound

This paper cites Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.

Legible-by-Construction: Attention and End-to-End Transformers Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:5fc178b34c73c8b22ef1fa196532c2c41b06e43e066a0a4fdb337f90f6b7c56b

Observation d09f6241-3780-4338-a501-091044b78a5e · outbound

This paper cites GLU Variants Improve Transformer.

Legible-by-Construction: Attention and End-to-End Transformers GLU Variants Improve Transformer

Reference 10

Resolution
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no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:c1007e09a4396a770038985e4063dfa66f750da8be45fd4ee156b1183040b7fe

Observation af1c2717-da20-41c7-bb73-973bb2715865 · outbound

This paper cites Dense SAE latents are features, not bugs.arXiv preprint arXiv:2506.15679,.

Legible-by-Construction: Attention and End-to-End Transformers Dense SAE latents are features, not bugs.arXiv preprint arXiv:2506.15679,

Reference 11

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unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:9582a2c69fe68f5d0e05e9f39476371403a47a51e0bce31335ebef70d84dd975

Observation de236efa-f568-4a98-b507-9504b95eb3c0 · outbound

This paper cites Codebook Features: Sparse and Discrete Interpretability for Neural Networks.

Legible-by-Construction: Attention and End-to-End Transformers Codebook Features: Sparse and Discrete Interpretability for Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:8a5bd193d4c845d0b205c75df22d5ab69afd6a503a364ac8fe5eb9b181d3cc24

Observation d0b6656a-3ac3-4dda-8d62-651e1933e341 · outbound

This paper cites Analyzing Differentiable Fuzzy Logic Operators.

Legible-by-Construction: Attention and End-to-End Transformers Analyzing Differentiable Fuzzy Logic Operators

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:f9c32825eab66871a9c188baf10d5caee1dffbae862d424a6773218b64fef598

Observation d4aabf59-6730-40f8-95d8-3a644025f4e2 · outbound

This paper cites Small-scale proxies for large-scale Transformer training instabilities.

Legible-by-Construction: Attention and End-to-End Transformers Small-scale proxies for large-scale Transformer training instabilities

Reference 14

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unresolved
no resolver link, observed 2026-07-11T20:06:55.102341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:06:55.102341Z digest=sha256:a1a2102a39510c3af3ee2bb0e2ecd4fe1a2e5e13af24013d9002ad4ea20fc5e5

Pith citing papers

Observation 3efa7add-bed7-471a-a6e2-890af8586706 · inbound

Training, Reading, and Editing Legible Transformers cites this paper.

Training, Reading, and Editing Legible Transformers Legible-by-Construction: Attention and End-to-End Transformers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T05:35:58.568346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T05:35:58.568346Z digest=sha256:b749eeeabcdb790cb927c88628df6720a14b7cf90d775f1047c53ad5b0833d68