Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
You can remove GPT2's LayerNorm by fine-tuning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.13710.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:03:47.847142Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:07:28.650206Z
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 696aec1f-3d23-47dd-893c-e4920248d475 · inbound
Key and Value Weights Are Probably All You Need: On the Necessity of the Query, Key, Value weight Triplet in Self-Attention Transformers cites this paper.
Key and Value Weights Are Probably All You Need: On the Necessity of the Query, Key, Value weight Triplet in Self-Attention Transformers You can remove GPT2's LayerNorm by fine-tuning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:40:50.489589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 97e7c7a8-9661-4146-b28e-1310bdd64260 · inbound
Interactions Between Crosscoder Features: A Compact Proofs Perspective cites this paper.
Interactions Between Crosscoder Features: A Compact Proofs Perspective You can remove GPT2's LayerNorm by fine-tuning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:07:28.651968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dbfe7642-9732-4edd-9462-061916c160c1 · inbound
Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models cites this paper.
Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models You can remove GPT2's LayerNorm by fine-tuning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:03:47.847142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.