Paper Citation Record · LEDGER

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.11242.

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

pith.paper-citation-record.v1
2412.11242 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:13:23.681468Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d3960ee-b4f4-4117-822b-3d83b132c574 · outbound

This paper cites online" 'onlinestring :=.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.421783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d887f4-7c38-41df-bfcd-1b63b7d9e5ed · outbound

This paper cites write newline.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.430392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab72485-979b-43cb-8dc2-ea88f33d378f · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.436083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ade04f-c7aa-4651-87b3-782922b14f3c · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.444965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d663ca94-e8cd-4dfb-9b31-68610f377b6b · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs The Internal State of an LLM Knows When It's Lying

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.450461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26084523-82bf-42cd-8d0e-bf40be328f82 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.478543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1400a5d-55fd-4b44-94f1-ab7a93f0352a · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.461130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046372ad-5bd9-41f3-aa12-fe44a116bba6 · outbound

This paper cites LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.466047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4fa445-965e-48ca-8eed-490823208f20 · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.472171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3632583c-8ecb-4c0b-8cc6-5f810df2f0ef · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.477631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5906af9b-3c2b-422c-94b5-90200515d5e0 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.484029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 606de97a-385b-47d3-afe9-552c7badf8e5 · outbound

This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.489942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b6c1656-795b-43d8-8bf0-97663652dbc5 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.449427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d7a67aa-406e-4618-b7fc-bb054b4bb36b · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.501952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea701349-872f-4c95-9e7d-53140d8edf33 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Transformer Feed-Forward Layers Are Key-Value Memories

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.506528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9578b812-3808-46ea-82e2-455156ae3030 · outbound

This paper cites LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.511117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5276ed71-7db5-4859-8380-671c2120c7bc · outbound

This paper cites Measuring Massive Multitask Language Understanding.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Measuring Massive Multitask Language Understanding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.517390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1cdc32-f5e8-4518-b546-e946acce5ce9 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.431897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e06be3ae-cc31-44f9-a42a-a12a3f7bbc9a · outbound

This paper cites Lawyer LLaMA Technical Report.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Lawyer LLaMA Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.528729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a45e7ef-6489-4126-bfaa-77acbb243372 · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.533585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6dd2e29-ebc3-4da3-8175-389a44944612 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.538466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897f5eee-239b-4365-87b1-8c7ff14638e2 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.408983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eafd8294-1669-4160-aac4-754461665c97 · outbound

This paper cites Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Surgical Fine-Tuning Improves Adaptation to Distribution Shifts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.549855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 105ea81c-ebaf-43af-8800-cceb8df453cd · outbound

This paper cites PMET: Precise Model Editing in a Transformer.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs PMET: Precise Model Editing in a Transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.555986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20542370-8d6b-41ff-99ab-9214d12be646 · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.561219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0411ea6-65a9-409e-a49e-e6f736002c6b · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.567929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 613b28e3-e9fe-4520-b166-668d6ed18bcb · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.573313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260511f5-ef5e-4847-a28f-696c01faaffc · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.380699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ae39677-9d2d-4912-b49e-d704a36d9142 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.583316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb99862-6439-4f40-b413-42b73092a38c · outbound

This paper cites Mass-Editing Memory in a Transformer.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Mass-Editing Memory in a Transformer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.588117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018ca3d0-c9ab-44bb-a0b3-88b010c703c0 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.593148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786f1bb5-4e16-4602-b215-fd8d9126f721 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.598065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6bfaaad-9bdd-4fa3-898c-4ab0b52d3d53 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.341003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18ee0dbf-e390-4730-9c88-d365fcc6d386 · outbound

This paper cites Self-Attention with Relative Position Representations.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Self-Attention with Relative Position Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.608528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d76245-a3c3-4cca-bf44-e955f3977e06 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs A Simple and Effective Pruning Approach for Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.614377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ccd818-55d2-4d3b-9f73-2a9de21d8072 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.325612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c4c837b-895f-42f7-96e4-fd345bf7404e · outbound

This paper cites Hashimoto.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Hashimoto

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.625481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4577ddfc-bc95-4319-9db0-7083286b0858 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.303127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e21814cb-9391-4c4c-92eb-eb6d821962d9 · outbound

This paper cites PMC-LLaMA: Towards Building Open-source Language Models for Medicine.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs PMC-LLaMA: Towards Building Open-source Language Models for Medicine

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.636688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea87c638-3923-44f4-8c73-dd40d7d8e51c · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs BloombergGPT: A Large Language Model for Finance

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.642423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e466a7-7c78-4723-9db5-ead0b45e6f54 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.648362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4dad11-45ab-4de7-b38d-f736fcb8fd68 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.653479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cea019b-5392-475f-8d70-56e09118cd2c · outbound

This paper cites DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.660462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0c4ba6-7dd5-4a61-8383-9ee3961e8322 · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:13:24.278356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e74f4e11-e1ec-49bf-9b40-a111002619ad · outbound

This paper cites @esa (Ref.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs @esa (Ref

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.670404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a4d5354-db87-4848-8dd4-ae746128d6aa · outbound

This paper cites an unresolved cited work.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.675985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af11d3ef-77ae-4c56-b2e4-f8f15bbe74a1 · outbound

This paper cites economics.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs economics

Reference 47

Resolution: malformed identifier; no resolver link, observed 2026-08-11T15:13:23.681468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.