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Paper Citation Record · LEDGER

Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer

As of 10 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 2 inbound Pith citation observations for arXiv:2601.05770.

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

pith.paper-citation-record.v1
2601.05770 v3

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:40:57.051447Z

measured 4 of 4 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:11:44.144774Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:41:01.336775Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c7189ce-a1a8-446a-98f1-aa1a35d85558 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T11:40:56.983907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:40:56.983907Z digest=sha256:2388a223b6bb6ea8c538eb7cc6f4cde218812d47f1fca0ee2a5baa1069b60420

Observation 30153c6f-a137-4310-8203-75031589ee17 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer Categorical Reparameterization with Gumbel-Softmax

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-03T11:40:57.051447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:40:57.051447Z digest=sha256:16e805a1d77cbd2b1d347c7f6639c24b72f81165ca4df706de78adc66bf68ba4

Pith citing papers

Observation d075bcaa-bdbe-4b24-81ec-005fc870d0ad · inbound

Discovering Interpretable Algorithms by Decompiling Transformers to RASP cites this paper.

Discovering Interpretable Algorithms by Decompiling Transformers to RASP Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer

Reference 2021

Resolution
malformed identifier
no resolver link, observed 2026-08-03T03:11:44.144774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:11:44.144774Z digest=sha256:9aa86ba476cff24ebb55f08b6534053e933e14e015b78f71ab814d6cac552e40

Observation a06b7928-5b83-4160-bcf8-c658176e5fa0 · inbound

Loom: A Scalable Analytical Neural Computer Architecture cites this paper.

Loom: A Scalable Analytical Neural Computer Architecture Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-01T02:02:24.249343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:01:33.381684Z digest=sha256:62ebef89038c89ef78ed9857ca2ae2fdd822784c13680dcbb5eca5352b2cf9ec