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Paper Citation Record · LEDGER

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2304.14402.

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

pith.paper-citation-record.v1
2304.14402 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:18.889313Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.616658Z

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 fd31f7e4-2cf2-45be-8c02-e878907a3fc3 · inbound

MiniLLM: On-Policy Distillation of Large Language Models cites this paper.

MiniLLM: On-Policy Distillation of Large Language Models LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:40:27.977039Z

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=2026-05-12T17:40:27.827493Z digest=sha256:691d67e7b88ad807703e8d62795781f829ab61c270d37719c67faf85c75befa8

Observation 3e5c504e-6e91-4054-9658-f888b03d39dc · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.487192Z

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=2026-05-15T02:39:33.007894Z digest=sha256:ac669c81c62bf183209578b86bfb7e63d14cf744ebf479149deca8761f9516c6

Observation 4abf80ad-46e2-49b8-b927-cd821ccc9e17 · inbound

Logit-KL Flow Matching: Non-Autoregressive Text Generation via Sampling-Hybrid Inference cites this paper.

Logit-KL Flow Matching: Non-Autoregressive Text Generation via Sampling-Hybrid Inference LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:43:11.570561Z

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=2026-05-23T16:40:52.542874Z digest=sha256:c47167b6a37ed7e7e4e8e3fed2824b1c947e0fa59e79a29c364619aeca9177a4

Observation 2c025c78-3c88-4e78-930a-16d933f9a255 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.429571Z

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=2026-05-23T01:03:26.037233Z digest=sha256:19d109430471deb3fa0cffcfe09b448572e84e2bbec1f78900e31139d1900cda

Observation e9d2cba1-a216-46d9-a2fd-a686e0d738a0 · inbound

Basis Transformers for Multi-Task Tabular Regression cites this paper.

Basis Transformers for Multi-Task Tabular Regression LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:18.889313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:18.889313Z digest=sha256:d96be4160d6975277ad504e795655c8555c5ee914c63891c57fd0d99cb029cf2

Observation c0315f4c-f901-4fa8-9fdf-fe5efaa2ae29 · inbound

GeLaCo: An Evolutionary Approach to Layer Compression cites this paper.

GeLaCo: An Evolutionary Approach to Layer Compression LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:20.888209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:45:20.888209Z digest=sha256:eef71b970b04c3e2ba922f966cd6a1b4173a6b928607e2fcf362f3eeb1fa8813

Observation f04744b6-7fb0-4d26-a681-5d14760702c3 · inbound

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement cites this paper.

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 299

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T16:12:39.497632Z

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=2026-05-19T16:05:41.505091Z digest=sha256:3128248b1dc175e0b28ffe075d4f2d335aae6a14860ed3f436cb6d59488c9c75

Observation 7ec11f52-266c-4001-8360-11baf71aa4f6 · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:19:31.618470Z

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=2026-06-26T18:09:17.414031Z digest=sha256:e11d45696d39a9496814b88deb3e32eca8cef5ce84358d4470ef822bf8beb26b

Observation d7ecbc77-8a31-4127-9a9f-742a1880c29c · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Reference 272

Resolution
unresolved
no resolver link, observed 2026-08-01T16:08:01.182278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:08:01.182278Z digest=sha256:1058dbb558f7aa6546efa14a1b0fb8733c361bf6fafe397ccfea982aa6539e95