Paper Citation Record · LEDGER

Inferring Functionality of Attention Heads from their Parameters

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.11965.

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

pith.paper-citation-record.v1
2412.11965 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:37.182165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:55:04.172635Z

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 4c0992a8-77e7-425f-96f1-603250e37560 · inbound

Understanding Gated Neurons in Transformers from Their Input-Output Functionality cites this paper.

Understanding Gated Neurons in Transformers from Their Input-Output Functionality Inferring Functionality of Attention Heads from their Parameters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:37.182165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9bf136-946f-4e9f-a855-1c01e765604e · inbound

Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models cites this paper.

Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models Inferring Functionality of Attention Heads from their Parameters

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:33.248622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94d3d990-f9e7-487f-900f-0a0747732e6a · inbound

GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding cites this paper.

GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding Inferring Functionality of Attention Heads from their Parameters

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T00:30:23.736838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9453032c-d822-4bf0-92ed-ed80d2cf21f6 · inbound

Why Fine-Tuning Encourages Hallucinations and How to Fix It cites this paper.

Why Fine-Tuning Encourages Hallucinations and How to Fix It Inferring Functionality of Attention Heads from their Parameters

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:55:04.174457Z

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.