Paper Citation Record · LEDGER

Teach Old SAEs New Domain Tricks with Boosting

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.12990.

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

pith.paper-citation-record.v1
2507.12990 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:40:29.681728Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:14:58.183289Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:16:16.162543Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d60d8f4-3f94-4fa9-b990-187622944869 · outbound

This paper cites Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.

Teach Old SAEs New Domain Tricks with Boosting Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:28.821951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a638ac-b106-4a4f-899e-fef1eeb8d33a · outbound

This paper cites Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models.

Teach Old SAEs New Domain Tricks with Boosting Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.147549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa2e4f4-ff2f-4a37-8432-6e53d00249bd · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Teach Old SAEs New Domain Tricks with Boosting The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.406481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372e9581-3871-442d-b829-883b65882908 · outbound

This paper cites The Llama 3 Herd of Models.

Teach Old SAEs New Domain Tricks with Boosting The Llama 3 Herd of Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.517427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089f207b-d345-4593-bddc-eebe0bd4b1a4 · outbound

This paper cites Qwen2.5 Technical Report.

Teach Old SAEs New Domain Tricks with Boosting Qwen2.5 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.601108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f9b6f5-2760-42fe-8ec5-240c67a7547e · outbound

This paper cites an unresolved cited work.

Teach Old SAEs New Domain Tricks with Boosting Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:40:30.159519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb9580bd-d1d6-4acd-8d07-e1ea1f0c7fd6 · outbound

This paper cites an unresolved cited work.

Teach Old SAEs New Domain Tricks with Boosting Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:40:30.076624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc944e05-a04d-4239-905f-0ffb17c18ff6 · outbound

This paper cites Automatically Interpreting Millions of Features in Large Language Models.

Teach Old SAEs New Domain Tricks with Boosting Automatically Interpreting Millions of Features in Large Language Models

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.278577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6529e8df-4036-4420-b4b5-9d44a9550412 · outbound

This paper cites Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset.

Teach Old SAEs New Domain Tricks with Boosting Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:28.933519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a162d6b-bec4-437f-8c9e-301b39106c74 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Teach Old SAEs New Domain Tricks with Boosting Scaling and evaluating sparse autoencoders

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:28.648847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503c8aa7-78ce-41e5-a7a7-b42dcd033de9 · outbound

This paper cites BatchTopK Sparse Autoencoders.

Teach Old SAEs New Domain Tricks with Boosting BatchTopK Sparse Autoencoders

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:28.594279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 158f39e2-2786-4adc-92dc-0e2a90c0ce6f · outbound

This paper cites Sparse Autoencoders Do Not Find Canonical Units of Analysis.

Teach Old SAEs New Domain Tricks with Boosting Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.030274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b02d0ced-ac05-4f59-8e64-7569f76f6183 · inbound

Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift cites this paper.

Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift Teach Old SAEs New Domain Tricks with Boosting

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:16:16.165688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.