Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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
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=sha256:3712f9b5c35edc63f0c6684c7e958981987d5929e134a2415ebffa4725c57dd6

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=sha256:6c4b570aed110f175b279474bb5807c4218760a6050ef25c87d9caf54a082dba

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

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=sha256:41d84007ce7e8b05b4c6be0e371801241f15d0f3e87d6106f3aff05908a14efe

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=sha256:411718d56e29bbc641f64fd2aa0efe4d6bc0e214e94010cb4db9f8913e0e6b77

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

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:ed00ae7ec8e9b17599102d5220a7afeb2e403858ea3e1cc04d8f1f3d171e4364

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

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:fb226dd48e68befebecd5699c84fad1d8bf25758069f4c35815ea2bd27bd08e1

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

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=sha256:4d041cfc124f74f11f93a811961e8e1ba92ae42cc29e616c352c36f934a81a7d

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=sha256:2383716948d1a386a0ab00d9d4bf976a1e0a9187bf7d4065ee2c3844368e2c31

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=sha256:9c35eefbf63ca9eb37f6b950d3af0b03d1e1ffb5d8000615a1e03d68d7785d2e

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
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:d2ad3dd1a0d6d66aa768c778a448a000d35250477f824b43de5d4b076d8ac916

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

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:be0780236768e3d239b7b7468bcd69bed69415ac1f4166c1077508d05252598c

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=sha256:8d97288edde75bd795d61193f397a764597e4a66e5bd73c02e7075a121eaee65

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=sha256:6ae8485a9f504b240aaade3efdf0bf9ff142e17097d17fe3a9ba420fd925722c

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

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:b8c714276ddb02350890d6502d6308101ea592194f664997e59d784ea32a1a90

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=sha256:2dbe7cea54edc564dc35b8b27948020b171acd8221bacd390dd20f11fa991d36