Paper Citation Record · LEDGER

Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.04478.

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

pith.paper-citation-record.v1
2409.04478 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:58:33.959044Z

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 73169e71-9150-45b6-8d69-c444e54fb5ab · inbound

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T17:58:33.959044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd145a00-fa69-4d88-b94c-56fa3a5a03e2 · inbound

Discovering Chunks in Neural Embeddings for Interpretability cites this paper.

Discovering Chunks in Neural Embeddings for Interpretability Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:19.912397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2727699c-10c6-4acb-89b5-ea5bc808d372 · inbound

Sparse Autoencoders, Again? cites this paper.

Sparse Autoencoders, Again? Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:57.385725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692bdaab-43ab-4332-810c-6169da267b07 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:12.090695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23542924-3df3-47f5-b284-712b5bf87c72 · inbound

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction cites this paper.

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:55:56.263985Z

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.

Observation 0b7e4dc2-33c8-4dfa-b409-3a09f6f43588 · inbound

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction cites this paper.

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:00:50.733226Z

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.

Observation 0f8c40b5-7ba4-4bc8-933a-f48efa4448cb · inbound

Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? cites this paper.

Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:15:47.335306Z

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.

Observation 0957239f-e1b2-43ef-97de-29754e3db9d6 · inbound

Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning cites this paper.

Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:47:17.694819Z

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.

Observation b86cb9f0-e310-4730-a3fd-d2336c257f8b · inbound

SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation cites this paper.

SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:39:25.099026Z

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.

Observation 254b586c-279b-46d1-822c-8ee4cba64308 · inbound

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects cites this paper.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T09:20:47.034743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2571467-6c9d-4e0f-95dc-98a5d40fd27c · inbound

LLM Scheming Inversely Scales with Pretraining Language Coverage cites this paper.

LLM Scheming Inversely Scales with Pretraining Language Coverage Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T11:56:08.959044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.