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Paper Citation Record · LEDGER

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.00153.

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

pith.paper-citation-record.v1
2410.00153 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:17.280087Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:27:56.539908Z

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 c6ac4c51-036c-4cb8-8075-546b9bf895ed · inbound

Fine-Grained Interpretation of Political Opinions in Large Language Models cites this paper.

Fine-Grained Interpretation of Political Opinions in Large Language Models Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:17.280087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:40:17.280087Z digest=sha256:cf0ff2e8291d9b18361babb90ae1c754965b5b56937226de04d4115c4a7e3bf0

Observation 4dea53fc-bc8e-4837-95cb-af9944b5aac0 · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:31:25.436794Z

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.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:0a278ff65120a261fab91c850a38551d3e7ba4572c2240a2e49246add7ba52a1

Observation 3bf46991-280e-4d0a-b1f7-e34cac7daae1 · inbound

Cell-Based Representation of Relational Binding in Language Models cites this paper.

Cell-Based Representation of Relational Binding in Language Models Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:06:04.681231Z

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.

source=arxiv_source observed=2026-05-10T02:21:04.591556Z digest=sha256:8f6bc1c8b1396ba8ca6acadff82226be53119b65dc28731d396a0f11523d496f

Observation be210a8d-7825-42af-98ea-c667b8ae517c · inbound

Causal Probing for Internal Visual Representations in Multimodal Large Language Models cites this paper.

Causal Probing for Internal Visual Representations in Multimodal Large Language Models Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:26:09.053242Z

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.

source=pdf_text observed=2026-05-08T11:58:08.853836Z digest=sha256:314b17d2ac63eb5b8db44287dddcccd7eb4a3113a678bf427286a28bdd61cc87

Observation 7a51ec9a-d24b-484e-8088-7ae01a9e5068 · inbound

When is Your LLM Steerable? cites this paper.

When is Your LLM Steerable? Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:27:56.541612Z

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.

source=pdf_text observed=2026-06-27T10:01:21.682285Z digest=sha256:88436a8a753c6a5fcf312ddb953dc6179d25513ac3a73022f40cc6b30bde40be