Paper Citation Record · LEDGER

SWSC: Shared Weight for Similar Channel in LLM

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.08631.

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

pith.paper-citation-record.v1
2501.08631 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:08.062641Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy1
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1f12d4d-78db-4f2a-9cce-46c3eaad71a2 · outbound

This paper cites Revolutionizing finance with llms: An overview of applications and insights,.

SWSC: Shared Weight for Similar Channel in LLM Revolutionizing finance with llms: An overview of applications and insights,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.839362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee109ef-cdcc-4a03-a23f-bea3e37a4db9 · outbound

This paper cites Large Language Models for Education: A Survey and Outlook.

SWSC: Shared Weight for Similar Channel in LLM Large Language Models for Education: A Survey and Outlook

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.846565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfdb49f-c5e8-43e7-964b-1182438e6533 · outbound

This paper cites A Survey on Large Language Models for Code Generation.

SWSC: Shared Weight for Similar Channel in LLM A Survey on Large Language Models for Code Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.852154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b28c28-21ac-4bae-9d79-f41d6dd1c72e · outbound

This paper cites A survey on model compression for large language models,.

SWSC: Shared Weight for Similar Channel in LLM A survey on model compression for large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.857957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51626a63-3c1f-4787-a4ef-585353eda1ed · outbound

This paper cites Numerical inverting of matrices of high order,.

SWSC: Shared Weight for Similar Channel in LLM Numerical inverting of matrices of high order,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:08.505425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 481751bf-a3bd-4deb-b46c-a7f9016bfe4a · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

SWSC: Shared Weight for Similar Channel in LLM LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.869064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38f4cd1-54ca-4fbe-bc20-0a87b76b0a8f · outbound

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

SWSC: Shared Weight for Similar Channel in LLM GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.875146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa536d37-22a9-4432-a44d-c4241737690f · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.

SWSC: Shared Weight for Similar Channel in LLM Smoothquant: Accurate and efficient post-training quantization for large language models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.880513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2dbad6e-ef01-4042-99c0-d774ddf74940 · outbound

This paper cites DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.

SWSC: Shared Weight for Similar Channel in LLM DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.885508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df9f665-c903-46e9-8c88-5635d0e1a197 · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

SWSC: Shared Weight for Similar Channel in LLM Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.890701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40aad758-31c1-49a5-bae9-cdc02e67cfbb · outbound

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

SWSC: Shared Weight for Similar Channel in LLM A Simple and Effective Pruning Approach for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.895750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd905df3-8843-4c6f-8018-19eb610261ab · outbound

This paper cites Llm-pruner: On the structural pruning of large language models,.

SWSC: Shared Weight for Similar Channel in LLM Llm-pruner: On the structural pruning of large language models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:07.901237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674326f4-9ab6-4b02-acf3-d0b6960d9f59 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

SWSC: Shared Weight for Similar Channel in LLM ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.007768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc136d8-6def-4888-bd79-eb324c576391 · outbound

This paper cites In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models.

SWSC: Shared Weight for Similar Channel in LLM In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.013772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d2c62c0-7471-4531-a054-7d757eff56eb · outbound

This paper cites Explanations from Large Language Models Make Small Reasoners Better.

SWSC: Shared Weight for Similar Channel in LLM Explanations from Large Language Models Make Small Reasoners Better

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.019296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 998374fb-f5a0-4c7d-bbc9-cf80d1727bd6 · outbound

This paper cites Lion: Adversarial Distillation of Proprietary Large Language Models.

SWSC: Shared Weight for Similar Channel in LLM Lion: Adversarial Distillation of Proprietary Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.024770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0984919a-92df-4671-902c-e6885c67d4b4 · outbound

This paper cites Minillm: Knowledge distillation of large language models,.

SWSC: Shared Weight for Similar Channel in LLM Minillm: Knowledge distillation of large language models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.029800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45175c5c-bc4a-426f-aeb9-e45bea7c0ef1 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

SWSC: Shared Weight for Similar Channel in LLM On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.035288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6b9e71-c560-40b6-b474-1bacc8d39ea0 · outbound

This paper cites LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

SWSC: Shared Weight for Similar Channel in LLM LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.041243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d8719c-c36f-46f0-b112-4e3205a59b5c · outbound

This paper cites ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats.

SWSC: Shared Weight for Similar Channel in LLM ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.046838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cdc088-3b44-480b-923d-97d694c9b1ff · outbound

This paper cites Product quantization for nearest neighbor search,.

SWSC: Shared Weight for Similar Channel in LLM Product quantization for nearest neighbor search,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.052760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a04f24-677f-4043-ae64-3e1120354f9f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SWSC: Shared Weight for Similar Channel in LLM Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.057819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d5127c-e3dc-4ab8-891e-7c2c432df608 · outbound

This paper cites Pointer Sentinel Mixture Models.

SWSC: Shared Weight for Similar Channel in LLM Pointer Sentinel Mixture Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:08.062641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.