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Paper Citation Record · LEDGER

Route Sparse Autoencoder to Interpret Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.08200.

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

pith.paper-citation-record.v1
2503.08200 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:09.892396Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:21:01.860993Z

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 9ade0988-831f-482c-85dc-b309ea41f64b · inbound

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective cites this paper.

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective Route Sparse Autoencoder to Interpret Large Language Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T14:13:09.892396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:09.892396Z digest=sha256:a6283f26814515d06544d322ee95e8afef1c5a8af5a3190d014e56ff9f807b50

Observation 03f06d63-170e-40bb-b0be-dfa40c32aadc · inbound

Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.

Cross-Layer Discrete Concept Discovery for Interpreting Language Models Route Sparse Autoencoder to Interpret Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T23:03:05.017328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:03:05.017328Z digest=sha256:5718d212600cf699ee592290dad368670644d35b65aada9726b590b465e88916

Observation b910cfd2-824c-4ba5-8039-15b0bb4b80b4 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Route Sparse Autoencoder to Interpret Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:32.471158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:32.471158Z digest=sha256:cc451acdd53fb65270bce5ee20168017d1adefda54b2074f88468b08b97dc865

Observation d06ca1a0-e97a-4f0b-a0c9-c611a6f716db · inbound

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering cites this paper.

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering Route Sparse Autoencoder to Interpret Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T12:21:00.291525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:21:00.291525Z digest=sha256:abac3a89202e7da395a4fd1e123361801fddbeefa0501097667959aab9ff0fb1

Observation f7970c4a-28d5-4cb7-8fb0-0b32c054fff8 · inbound

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints cites this paper.

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints Route Sparse Autoencoder to Interpret Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:01.864183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T16:04:25.851592Z digest=sha256:0fe4c741f9cb1930cbc99ab00a0e97aca0e99b733b2f82dc6f21cbb4848fa3b2

Observation 17702617-7dfd-4f14-9d0c-004f23c7aa68 · inbound

Improving Sparse Autoencoder with Dynamic Attention cites this paper.

Improving Sparse Autoencoder with Dynamic Attention Route Sparse Autoencoder to Interpret Large Language Models

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:09.017100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T11:07:24.389139Z digest=sha256:4e46baf0cb30199aabf60b034b3387d2e03897ff7a616f360732acc70b4eb916