Paper Citation Record · LEDGER

A deeper look at depth pruning of LLMs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.16286.

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

pith.paper-citation-record.v1
2407.16286 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:13:28.560635Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:50:15.307051Z

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 fa0ccc63-d8c4-4382-8a53-a7408cf913a7 · inbound

Reassessing Layer Pruning in LLMs: New Insights and Methods cites this paper.

Reassessing Layer Pruning in LLMs: New Insights and Methods A deeper look at depth pruning of LLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:13:28.560635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 977e0f45-021d-4008-ab43-24c2cb03d611 · inbound

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN cites this paper.

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN A deeper look at depth pruning of LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:33.484113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39962bab-abea-48d7-8033-b08e717fe7c9 · inbound

Analyzing Memorization in Large Language Models through the Lens of Model Attribution cites this paper.

Analyzing Memorization in Large Language Models through the Lens of Model Attribution A deeper look at depth pruning of LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:47.905733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c245d9e-b932-40f9-9557-4c04df26bb99 · inbound

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights cites this paper.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights A deeper look at depth pruning of LLMs

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.311812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81592bf1-f8b0-46af-b943-035313db2e30 · inbound

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling cites this paper.

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling A deeper look at depth pruning of LLMs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:51.607178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e44b8d-493f-4b07-9890-2f66f876fd32 · inbound

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference cites this paper.

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference A deeper look at depth pruning of LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:08:08.244465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15086fa9-9b1c-4595-9885-d6598ada96d6 · inbound

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs cites this paper.

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs A deeper look at depth pruning of LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:11:52.296913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57a7ca0-7c11-4e34-b4eb-608d48aa0a9a · inbound

Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models cites this paper.

Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models A deeper look at depth pruning of LLMs

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:50:15.310007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.