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Paper Citation Record · LEDGER

Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.08764.

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

pith.paper-citation-record.v1
2503.08764 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:21:10.559896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:38:19.495939Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 19db56ce-6fd8-4ca7-b759-83b1bb625055 · inbound

Mechanistic Interpretability of Antibody Language Models Using SAEs cites this paper.

Mechanistic Interpretability of Antibody Language Models Using SAEs Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T18:21:10.559896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:21:10.559896Z digest=sha256:23e0ac43c3d1890b8cb56ed6f615ed7723e52bf2809af4bd4024b8cfaa8f37b4

Observation 32046685-f453-452b-8ef6-38ca6f46b55f · inbound

Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks cites this paper.

Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T04:07:36.102722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:07:36.102722Z digest=sha256:a67163918fd5ff621b6e0c0d33f574c701e79bae715143e99250b0692efb23ec

Observation 7207c38d-a75d-4855-b561-d0c005b49d05 · inbound

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models cites this paper.

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 2020

Resolution
malformed identifier
no resolver link, observed 2026-08-02T20:32:06.342850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:32:06.342850Z digest=sha256:0605d62751440ee5f4bd76137e853a27bb8d8e1214df960e7f73b2e402bdddc6

Observation 497fdc28-2676-49d5-9084-26e8d3aed914 · inbound

Retrieval and competition: how a protein foundation model starts a protein cites this paper.

Retrieval and competition: how a protein foundation model starts a protein Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:13:53.246226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T00:09:22.402365Z digest=sha256:7d4a353ebdec326870cf62bb53ff1bf6e4ddff03674207d95672dad89038cc07

Observation b78eb40d-84d1-4eb8-8401-b7fbe4d7dc76 · inbound

Retrieval and competition: how a protein foundation model starts a protein cites this paper.

Retrieval and competition: how a protein foundation model starts a protein Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:25:10.445742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T23:58:11.169748Z digest=sha256:8a07b6fc7b8915a0d84d1eaca0d40ea0f7f522a15da5e1ec9efabf630348783f

Observation 1f99544c-1e06-487c-a7f6-69fe8c3e0ff1 · inbound

VFUSE: Virulent Feature Understanding with Sparse autoEncoders cites this paper.

VFUSE: Virulent Feature Understanding with Sparse autoEncoders Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:29.977616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T16:57:52.441415Z digest=sha256:2db53b26725b8406e25e128c5963e21228b48f992fe7aaddff3defa60380b5ce

Observation 7b13827f-f127-41ff-955e-09648eb5e958 · inbound

Interpretable enzyme function prediction via sparse autoencoder features of ESMC across the microbial protein universe cites this paper.

Interpretable enzyme function prediction via sparse autoencoder features of ESMC across the microbial protein universe Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:19.497217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T07:40:44.565436Z digest=sha256:0930ccab4071bf1ad3dc8a8bc0bd83ee63854fca20219a292094c402a0fd8d3a

Observation 8949b90a-f609-4c25-a699-9ea7a0a4d4c1 · inbound

Design-CP: Context Parallelism for Design of Protein Nanoparticles cites this paper.

Design-CP: Context Parallelism for Design of Protein Nanoparticles Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-12T02:29:52.764344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T02:29:52.764344Z digest=sha256:35bdf7469b4b5ea928a6d426d7dce7ce68dc9d7e67db9cda323980a3f7edded6