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Paper Citation Record · LEDGER

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.03601.

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

pith.paper-citation-record.v1
2503.03601 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:47:42.878053Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b3d67068-1cc3-4e6f-8be0-7b572fade415 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:31.199445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:31.199445Z digest=sha256:34decd8899c8a454470a73c38fc51d3b8e5d6f5adee7fe5e6474ef4714a2886b

Observation 33e701f1-e1e4-4590-a5e7-ddadac86f02b · inbound

Geometric Metrics and LLMs: What They Measure and When They Work cites this paper.

Geometric Metrics and LLMs: What They Measure and When They Work Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T15:47:42.878053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:47:42.878053Z digest=sha256:dba0d54250cbc220b977d65d9b776c53202288961eb9712bc96df04912354f18

Observation 58f24ebb-b8da-4970-9e6b-a397c311975c · inbound

LLM Self-Recognition: Steering and Retrieving Activation Signatures cites this paper.

LLM Self-Recognition: Steering and Retrieving Activation Signatures Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-28T01:41:29.244885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-28T01:41:03.518190Z digest=sha256:35d47416cab97b13a80152c45e62cc62c09beaf476c485951336f019eade0cda