Paper Citation Record · LEDGER

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.16061.

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

pith.paper-citation-record.v1
2402.16061 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:35:30.112667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:20:54.584510Z

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 ef8ef89b-5b45-4bb5-a05b-30d93c0b01aa · inbound

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment cites this paper.

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:30.112667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0338e5-80cd-44b8-ad9b-cfc5141bdac2 · inbound

Void in Language Models cites this paper.

Void in Language Models How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:01.925027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86483a8-da5a-482b-b580-4a6b03accbec · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:24:26.384700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ec8a594-82bc-43d9-af14-7da61722ade5 · inbound

The Compositional Architecture of Regret in Large Language Models cites this paper.

The Compositional Architecture of Regret in Large Language Models How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:46.765553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106cfb87-891d-4637-927b-b0bfeaeef3dd · inbound

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning cites this paper.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:31.711093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883330c4-a3b1-4746-b00f-3c2b18ea02a0 · inbound

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment cites this paper.

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:20:54.586746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac30e51f-d4c7-4cc6-9df5-137474e76ac5 · inbound

Multi-LLM Token Filtering and Routing for Sequential Recommendation cites this paper.

Multi-LLM Token Filtering and Routing for Sequential Recommendation How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:11:06.714059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.